王子睿 commited on Dec 29, 2025

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f080257

1 Parent(s): 0d4cded

restructure + add files

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data/processed/RQ2/Agent-Time-UnifiedY/BookWriter-A2A_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/BookWriter-H_A2A_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/BookWriter-MCP_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/EmailResponder-MCP_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/EmailResponder_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/GameBuilder-MCP_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/GameBuilder_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/LandingPageGenerator-A2A_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/LandingPageGenerator-H_A2A_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/LandingPageGenerator-MCP_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/MarkdownValidator-MCP_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/MarkdownValidator_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/RecruitmentAssistant-A2A_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/RecruitmentAssistant-H_A2A_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/RecruitmentAssistant-MCP_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/SQLAssistant-A2A_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/SQLAssistant-H_A2A_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/SQLAssistant-MCP_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/SQL_assistant-A2A_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/SQL_assistant-A2A_mix_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/SQL_assistant-MCP_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/SocialMediaManager-A2A_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/SocialMediaManager-H_A2A_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/SocialMediaManager-MCP_agent_time_share_bars.pdf +1 -1
data/processed/RQ2/Agent-Time-UnifiedY/email_auto_responder_flow-MCP_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/email_auto_responder_flow_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/game_builder-MCP_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/game_builder_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/intelligent_recruitment_platform-A2A_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/intelligent_recruitment_platform-A2A_mix_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/intelligent_recruitment_platform-MCP_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/landing_page_generator-A2A_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/landing_page_generator-A2A_mix_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/landing_page_generator-MCP_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/markdown_validator-MCP_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/markdown_validator_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/self_evaluation_loop_flow-A2A_agent_time_share_bars.pdf +0 -3
data/processed/RQ2/Agent-Time-UnifiedY/self_evaluation_loop_flow-A2A_mix_agent_time_share_bars.pdf +0 -3
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data/processed/RQ2/Agent-Time-UnifiedY/write_a_book_with_flows-A2A_agent_time_share_bars.pdf +0 -3
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data/processed/RQ2/ECDFs/A2A_vs_A2A_mix_Detailed_Comparison.md +0 -6
data/processed/RQ2/ECDFs/A2A_vs_H_A2A_Detailed_Comparison.md +150 -0
data/processed/RQ2/ECDFs/ECDF_Model_Legend_horizontal.pdf +1 -1
data/processed/RQ2/ECDFs/Per_Project_Model_Comparison.md +221 -221
data/processed/RQ2/ECDFs/Time_Comparison_A2A_vs_A2A_mix.md +0 -38
data/processed/RQ2/ECDFs/Time_Comparison_A2A_vs_H_A2A.md +136 -0
data/processed/RQ2/ECDFs/Time_Comparison_MCP_vs_A2A.md +109 -11
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-# A2A vs A2A_mix: Detailed Per-Project Comparison
-This document compares A2A and A2A_mix architectures for each project, showing both per-model and overall statistics.
----

data/processed/RQ2/ECDFs/A2A_vs_H_A2A_Detailed_Comparison.md ADDED Viewed

	@@ -0,0 +1,150 @@

+# A2A vs H_A2A: Detailed Per-Project Comparison
+This document compares A2A and H_A2A architectures for each project, showing both per-model and overall statistics.
+---
+## Overall (All Projects)
+| Project | A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- | --- |
+| SQLAssistant | 235.62 | 175.78 | -59.84s (-25.4%) |
+| RecruitmentAssistant | 501.47 | 344.65 | -156.82s (-31.3%) |
+| LandingPageGenerator | 138.60 | 129.66 | -8.94s (-6.5%) |
+| SocialMediaManager | 155.30 | 115.68 | -39.62s (-25.5%) |
+| BookWriter | 361.87 | 264.19 | -97.68s (-27.0%) |
+## All Projects Combined (Per-Model)
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- | --- |
+| GPT-5 | 69.35 | 50.18 | -19.17s (-27.6%) |
+| GPT-4o-mini | 89.32 | 72.46 | -16.86s (-18.9%) |
+| DeepSeek-V3-1 | 258.41 | 191.05 | -67.36s (-26.1%) |
+| DeepSeek-R1 | 774.85 | 642.65 | -132.20s (-17.1%) |
+| Gemini-2.5-flash | 178.36 | 104.40 | -73.96s (-41.5%) |
+| Gemini-2.5-flash-nothinking | 107.27 | 61.33 | -45.94s (-42.8%) |
+| Qwen3-235b | 472.44 | 319.85 | -152.58s (-32.3%) |
+---
+## SQLAssistant
+### Project-Level Summary
+### Overall Summary
+| A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- |
+| 235.62 | 175.78 | -59.84s (-25.4%) |
+### Per-Model Comparison
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 1130.69 | 898.25 | -232.43s (-20.6%) |
+| DeepSeek-V3-1 | 161.80 | 68.15 | -93.65s (-57.9%) |
+| GPT-4o-mini | 33.96 | 29.00 | -4.96s (-14.6%) |
+| GPT-5 | 21.10 | 28.21 | +7.11s (+33.7%) |
+| Gemini-2.5-flash | 151.07 | 83.10 | -67.97s (-45.0%) |
+| Gemini-2.5-flash-nothinking | 68.41 | 54.03 | -14.38s (-21.0%) |
+| Qwen3-235b | 82.32 | 69.68 | -12.64s (-15.4%) |
+---
+## RecruitmentAssistant
+### Project-Level Summary
+### Overall Summary
+| A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- |
+| 501.47 | 344.65 | -156.82s (-31.3%) |
+### Per-Model Comparison
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 922.16 | 774.66 | -147.50s (-16.0%) |
+| DeepSeek-V3-1 | 312.32 | 245.49 | -66.83s (-21.4%) |
+| GPT-4o-mini | 178.62 | 144.28 | -34.34s (-19.2%) |
+| GPT-5 | 67.32 | 52.98 | -14.33s (-21.3%) |
+| Gemini-2.5-flash | 357.79 | 127.63 | -230.16s (-64.3%) |
+| Gemini-2.5-flash-nothinking | 195.19 | 94.40 | -100.79s (-51.6%) |
+| Qwen3-235b | 1476.89 | 973.11 | -503.78s (-34.1%) |
+---
+## LandingPageGenerator
+### Project-Level Summary
+### Overall Summary
+| A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- |
+| 138.60 | 129.66 | -8.94s (-6.5%) |
+### Per-Model Comparison
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 302.33 | 283.59 | -18.74s (-6.2%) |
+| DeepSeek-V3-1 | 215.52 | 234.43 | +18.91s (+8.8%) |
+| GPT-4o-mini | 44.98 | 41.31 | -3.66s (-8.1%) |
+| GPT-5 | 23.26 | 30.31 | +7.05s (+30.3%) |
+| Gemini-2.5-flash | 76.95 | 73.92 | -3.03s (-3.9%) |
+| Gemini-2.5-flash-nothinking | 98.14 | 47.47 | -50.67s (-51.6%) |
+| Qwen3-235b | 208.99 | 196.56 | -12.44s (-6.0%) |
+---
+## SocialMediaManager
+### Project-Level Summary
+### Overall Summary
+| A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- |
+| 155.30 | 115.68 | -39.62s (-25.5%) |
+### Per-Model Comparison
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 557.94 | 427.00 | -130.94s (-23.5%) |
+| DeepSeek-V3-1 | 158.60 | 111.56 | -47.05s (-29.7%) |
+| GPT-4o-mini | 87.89 | 46.16 | -41.73s (-47.5%) |
+| GPT-5 | 41.51 | 27.98 | -13.53s (-32.6%) |
+| Gemini-2.5-flash | 65.45 | 65.04 | -0.42s (-0.6%) |
+| Gemini-2.5-flash-nothinking | 40.70 | 29.03 | -11.67s (-28.7%) |
+| Qwen3-235b | 135.01 | 102.98 | -32.03s (-23.7%) |
+---
+## BookWriter
+### Project-Level Summary
+### Overall Summary
+| A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- |
+| 361.87 | 264.19 | -97.68s (-27.0%) |
+### Per-Model Comparison
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (H_A2A - A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 961.15 | 829.76 | -131.39s (-13.7%) |
+| DeepSeek-V3-1 | 443.80 | 295.61 | -148.19s (-33.4%) |
+| GPT-4o-mini | 101.15 | 101.57 | +0.42s (+0.4%) |
+| GPT-5 | 193.58 | 111.41 | -82.17s (-42.4%) |
+| Gemini-2.5-flash | 240.55 | 172.33 | -68.22s (-28.4%) |
+| Gemini-2.5-flash-nothinking | 133.91 | 81.73 | -52.18s (-39.0%) |
+| Qwen3-235b | 458.96 | 256.93 | -202.03s (-44.0%) |
+---

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data/processed/RQ2/ECDFs/Per_Project_Model_Comparison.md CHANGED Viewed

@@ -3,7 +3,7 @@
 This document compares model performance within each of the 21 projects.
 Each project shows:
-- Model statistics (mean, median, count, total time)
 - Relative performance compared to the fastest model
 ---
@@ -12,15 +12,15 @@ Each project shows:
 ### Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| GPT-5 | 45.52 | 27.00 | 1270 | 57816.36 |
-| GPT-4o-mini | 69.33 | 49.05 | 1270 | 88053.45 |
-| DeepSeek-V3-1 | 191.58 | 151.97 | 1270 | 243310.25 |
-| DeepSeek-R1 | 589.60 | 472.63 | 1268 | 747611.27 |
-| Gemini-2.5-flash | 175.03 | 93.36 | 1270 | 222285.01 |
-| Gemini-2.5-flash-nothinking | 110.57 | 56.68 | 1270 | 140427.64 |
-| Qwen3-235b | 307.27 | 98.62 | 1270 | 390226.65 |
 ### Relative Performance (vs. Fastest Model)
@@ -36,7 +36,7 @@ Baseline (fastest): **GPT-5** (45.52s mean)
 | Gemini-2.5-flash-nothinking | 110.57 | +142.9% |
 | Qwen3-235b | 307.27 | +574.9% |
-**Slowest model:** DeepSeek-R1 (589.60s mean, +1195.1% slower than baseline)
 ---
@@ -44,15 +44,15 @@ Baseline (fastest): **GPT-5** (45.52s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 961.15 | 894.17 | 60 | 57669.13 |
-| DeepSeek-V3-1 | 443.80 | 425.58 | 60 | 26627.97 |
-| GPT-4o-mini | 101.15 | 97.92 | 60 | 6069.04 |
-| GPT-5 | 193.58 | 201.17 | 60 | 11614.51 |
-| Gemini-2.5-flash | 240.55 | 238.57 | 60 | 14433.15 |
-| Gemini-2.5-flash-nothinking | 133.91 | 129.30 | 60 | 8034.51 |
-| Qwen3-235b | 458.96 | 403.43 | 60 | 27537.69 |
 ## Relative Performance (vs. Fastest Model)
@@ -68,7 +68,7 @@ Baseline (fastest): **GPT-4o-mini** (101.15s mean)
 | Gemini-2.5-flash-nothinking | 133.91 | +32.4% |
 | Qwen3-235b | 458.96 | +353.7% |
-**Slowest model:** DeepSeek-R1 (961.15s mean, +850.2% slower than baseline)
 ---
@@ -76,15 +76,15 @@ Baseline (fastest): **GPT-4o-mini** (101.15s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 829.76 | 792.88 | 60 | 49785.81 |
-| DeepSeek-V3-1 | 295.61 | 283.52 | 60 | 17736.69 |
-| GPT-4o-mini | 101.57 | 97.49 | 60 | 6094.34 |
-| GPT-5 | 111.41 | 99.91 | 60 | 6684.57 |
-| Gemini-2.5-flash | 172.33 | 160.45 | 60 | 10339.79 |
-| Gemini-2.5-flash-nothinking | 81.73 | 80.19 | 60 | 4903.86 |
-| Qwen3-235b | 256.93 | 217.75 | 60 | 15416.09 |
 ## Relative Performance (vs. Fastest Model)
@@ -100,7 +100,7 @@ Baseline (fastest): **Gemini-2.5-flash-nothinking** (81.73s mean)
 | Gemini-2.5-flash-nothinking | 81.73 | +0.0% |
 | Qwen3-235b | 256.93 | +214.4% |
-**Slowest model:** DeepSeek-R1 (829.76s mean, +915.2% slower than baseline)
 ---
@@ -108,15 +108,15 @@ Baseline (fastest): **Gemini-2.5-flash-nothinking** (81.73s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 960.29 | 818.51 | 60 | 57617.52 |
-| DeepSeek-V3-1 | 395.67 | 361.70 | 60 | 23740.13 |
-| GPT-4o-mini | 112.23 | 103.68 | 60 | 6733.76 |
-| GPT-5 | 140.17 | 143.72 | 60 | 8409.92 |
-| Gemini-2.5-flash | 183.47 | 184.77 | 60 | 11008.22 |
-| Gemini-2.5-flash-nothinking | 115.47 | 108.62 | 60 | 6928.23 |
-| Qwen3-235b | 442.38 | 404.23 | 60 | 26543.00 |
 ## Relative Performance (vs. Fastest Model)
@@ -132,7 +132,7 @@ Baseline (fastest): **GPT-4o-mini** (112.23s mean)
 | Gemini-2.5-flash-nothinking | 115.47 | +2.9% |
 | Qwen3-235b | 442.38 | +294.2% |
-**Slowest model:** DeepSeek-R1 (960.29s mean, +755.7% slower than baseline)
 ---
@@ -140,15 +140,15 @@ Baseline (fastest): **GPT-4o-mini** (112.23s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 233.49 | 185.78 | 98 | 22882.07 |
-| DeepSeek-V3-1 | 47.23 | 43.01 | 100 | 4723.35 |
-| GPT-4o-mini | 17.90 | 13.83 | 100 | 1789.63 |
-| GPT-5 | 9.41 | 8.42 | 100 | 941.33 |
-| Gemini-2.5-flash | 180.03 | 42.84 | 100 | 18003.41 |
-| Gemini-2.5-flash-nothinking | 217.85 | 32.45 | 100 | 21785.38 |
-| Qwen3-235b | 37.41 | 33.02 | 100 | 3740.70 |
 ## Relative Performance (vs. Fastest Model)
@@ -164,7 +164,7 @@ Baseline (fastest): **GPT-5** (9.41s mean)
 | Gemini-2.5-flash-nothinking | 217.85 | +2214.3% |
 | Qwen3-235b | 37.41 | +297.4% |
-**Slowest model:** DeepSeek-R1 (233.49s mean, +2380.4% slower than baseline)
 ---
@@ -172,15 +172,15 @@ Baseline (fastest): **GPT-5** (9.41s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 141.80 | 125.64 | 100 | 14179.71 |
-| DeepSeek-V3-1 | 44.42 | 39.60 | 100 | 4442.01 |
-| GPT-4o-mini | 18.15 | 15.84 | 100 | 1814.60 |
-| GPT-5 | 8.25 | 7.88 | 100 | 825.09 |
-| Gemini-2.5-flash | 115.85 | 29.18 | 100 | 11585.49 |
-| Gemini-2.5-flash-nothinking | 151.00 | 21.38 | 100 | 15099.93 |
-| Qwen3-235b | 38.30 | 33.32 | 100 | 3830.01 |
 ## Relative Performance (vs. Fastest Model)
@@ -196,7 +196,7 @@ Baseline (fastest): **GPT-5** (8.25s mean)
 | Gemini-2.5-flash-nothinking | 151.00 | +1730.1% |
 | Qwen3-235b | 38.30 | +364.2% |
-**Slowest model:** Gemini-2.5-flash-nothinking (151.00s mean, +1730.1% slower than baseline)
 ---
@@ -204,15 +204,15 @@ Baseline (fastest): **GPT-5** (8.25s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 914.94 | 930.18 | 25 | 22873.47 |
-| DeepSeek-V3-1 | 518.26 | 492.54 | 25 | 12956.58 |
-| GPT-4o-mini | 94.49 | 87.41 | 25 | 2362.27 |
-| GPT-5 | 45.35 | 45.41 | 25 | 1133.78 |
-| Gemini-2.5-flash | 163.51 | 133.48 | 25 | 4087.85 |
-| Gemini-2.5-flash-nothinking | 169.19 | 133.32 | 25 | 4229.82 |
-| Qwen3-235b | 317.52 | 253.19 | 25 | 7938.00 |
 ## Relative Performance (vs. Fastest Model)
@@ -228,7 +228,7 @@ Baseline (fastest): **GPT-5** (45.35s mean)
 | Gemini-2.5-flash-nothinking | 169.19 | +273.1% |
 | Qwen3-235b | 317.52 | +600.1% |
-**Slowest model:** DeepSeek-R1 (914.94s mean, +1917.5% slower than baseline)
 ---
@@ -236,15 +236,15 @@ Baseline (fastest): **GPT-5** (45.35s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 827.60 | 802.12 | 25 | 20690.04 |
-| DeepSeek-V3-1 | 516.71 | 462.37 | 25 | 12917.73 |
-| GPT-4o-mini | 136.40 | 92.29 | 25 | 3409.88 |
-| GPT-5 | 43.16 | 43.45 | 25 | 1078.90 |
-| Gemini-2.5-flash | 185.74 | 185.03 | 25 | 4643.56 |
-| Gemini-2.5-flash-nothinking | 120.75 | 111.85 | 25 | 3018.77 |
-| Qwen3-235b | 316.86 | 313.26 | 25 | 7921.47 |
 ## Relative Performance (vs. Fastest Model)
@@ -260,7 +260,7 @@ Baseline (fastest): **GPT-5** (43.16s mean)
 | Gemini-2.5-flash-nothinking | 120.75 | +179.8% |
 | Qwen3-235b | 316.86 | +634.2% |
-**Slowest model:** DeepSeek-R1 (827.60s mean, +1817.7% slower than baseline)
 ---
@@ -268,15 +268,15 @@ Baseline (fastest): **GPT-5** (43.16s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 302.33 | 254.54 | 60 | 18139.89 |
-| DeepSeek-V3-1 | 215.52 | 175.65 | 60 | 12931.05 |
-| GPT-4o-mini | 44.98 | 43.88 | 60 | 2698.52 |
-| GPT-5 | 23.26 | 18.74 | 60 | 1395.76 |
-| Gemini-2.5-flash | 76.95 | 70.58 | 60 | 4617.19 |
-| Gemini-2.5-flash-nothinking | 98.14 | 69.14 | 60 | 5888.27 |
-| Qwen3-235b | 208.99 | 128.85 | 60 | 12539.60 |
 ## Relative Performance (vs. Fastest Model)
@@ -292,7 +292,7 @@ Baseline (fastest): **GPT-5** (23.26s mean)
 | Gemini-2.5-flash-nothinking | 98.14 | +321.9% |
 | Qwen3-235b | 208.99 | +798.4% |
-**Slowest model:** DeepSeek-R1 (302.33s mean, +1199.6% slower than baseline)
 ---
@@ -300,15 +300,15 @@ Baseline (fastest): **GPT-5** (23.26s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 283.59 | 240.55 | 60 | 17015.44 |
-| DeepSeek-V3-1 | 234.43 | 193.30 | 60 | 14065.93 |
-| GPT-4o-mini | 41.31 | 39.94 | 60 | 2478.65 |
-| GPT-5 | 30.31 | 32.22 | 60 | 1818.49 |
-| Gemini-2.5-flash | 73.92 | 52.93 | 60 | 4435.47 |
-| Gemini-2.5-flash-nothinking | 47.47 | 42.83 | 60 | 2848.08 |
-| Qwen3-235b | 196.56 | 119.09 | 60 | 11793.38 |
 ## Relative Performance (vs. Fastest Model)
@@ -324,7 +324,7 @@ Baseline (fastest): **GPT-5** (30.31s mean)
 | Gemini-2.5-flash-nothinking | 47.47 | +56.6% |
 | Qwen3-235b | 196.56 | +548.5% |
-**Slowest model:** DeepSeek-R1 (283.59s mean, +835.7% slower than baseline)
 ---
@@ -332,15 +332,15 @@ Baseline (fastest): **GPT-5** (30.31s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 274.53 | 246.57 | 60 | 16471.81 |
-| DeepSeek-V3-1 | 135.84 | 119.45 | 60 | 8150.36 |
-| GPT-4o-mini | 55.93 | 54.65 | 60 | 3355.75 |
-| GPT-5 | 23.98 | 23.42 | 60 | 1438.98 |
-| Gemini-2.5-flash | 91.42 | 87.19 | 60 | 5484.96 |
-| Gemini-2.5-flash-nothinking | 97.29 | 69.47 | 60 | 5837.31 |
-| Qwen3-235b | 92.07 | 86.16 | 60 | 5524.20 |
 ## Relative Performance (vs. Fastest Model)
@@ -356,7 +356,7 @@ Baseline (fastest): **GPT-5** (23.98s mean)
 | Gemini-2.5-flash-nothinking | 97.29 | +305.7% |
 | Qwen3-235b | 92.07 | +283.9% |
-**Slowest model:** DeepSeek-R1 (274.53s mean, +1044.7% slower than baseline)
 ---
@@ -364,15 +364,15 @@ Baseline (fastest): **GPT-5** (23.98s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 147.98 | 128.24 | 60 | 8878.66 |
-| DeepSeek-V3-1 | 10.29 | 8.95 | 60 | 617.43 |
-| GPT-4o-mini | 8.47 | 3.01 | 60 | 508.36 |
-| GPT-5 | 7.32 | 2.60 | 60 | 439.11 |
-| Gemini-2.5-flash | 554.35 | 221.42 | 60 | 33260.97 |
-| Gemini-2.5-flash-nothinking | 132.33 | 7.61 | 60 | 7939.80 |
-| Qwen3-235b | 9.54 | 7.38 | 60 | 572.29 |
 ## Relative Performance (vs. Fastest Model)
@@ -388,7 +388,7 @@ Baseline (fastest): **GPT-5** (7.32s mean)
 | Gemini-2.5-flash-nothinking | 132.33 | +1708.2% |
 | Qwen3-235b | 9.54 | +30.3% |
-**Slowest model:** Gemini-2.5-flash (554.35s mean, +7474.7% slower than baseline)
 ---
@@ -396,15 +396,15 @@ Baseline (fastest): **GPT-5** (7.32s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 129.20 | 113.74 | 60 | 7752.24 |
-| DeepSeek-V3-1 | 10.69 | 9.03 | 60 | 641.59 |
-| GPT-4o-mini | 3.58 | 3.13 | 60 | 214.72 |
-| GPT-5 | 2.98 | 2.80 | 60 | 179.05 |
-| Gemini-2.5-flash | 457.36 | 251.42 | 60 | 27441.47 |
-| Gemini-2.5-flash-nothinking | 168.14 | 11.26 | 60 | 10088.45 |
-| Qwen3-235b | 10.49 | 7.17 | 60 | 629.39 |
 ## Relative Performance (vs. Fastest Model)
@@ -420,7 +420,7 @@ Baseline (fastest): **GPT-5** (2.98s mean)
 | Gemini-2.5-flash-nothinking | 168.14 | +5534.3% |
 | Qwen3-235b | 10.49 | +251.5% |
-**Slowest model:** Gemini-2.5-flash (457.36s mean, +15225.7% slower than baseline)
 ---
@@ -428,15 +428,15 @@ Baseline (fastest): **GPT-5** (2.98s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 922.16 | 669.36 | 60 | 55329.75 |
-| DeepSeek-V3-1 | 312.32 | 300.68 | 60 | 18739.34 |
-| GPT-4o-mini | 178.62 | 174.95 | 60 | 10717.18 |
-| GPT-5 | 67.32 | 66.63 | 60 | 4038.91 |
-| Gemini-2.5-flash | 357.79 | 300.61 | 60 | 21467.37 |
-| Gemini-2.5-flash-nothinking | 195.19 | 194.60 | 60 | 11711.41 |
-| Qwen3-235b | 1476.89 | 1057.75 | 60 | 88613.16 |
 ## Relative Performance (vs. Fastest Model)
@@ -452,7 +452,7 @@ Baseline (fastest): **GPT-5** (67.32s mean)
 | Gemini-2.5-flash-nothinking | 195.19 | +190.0% |
 | Qwen3-235b | 1476.89 | +2094.0% |
-**Slowest model:** Qwen3-235b (1476.89s mean, +2094.0% slower than baseline)
 ---
@@ -460,15 +460,15 @@ Baseline (fastest): **GPT-5** (67.32s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 774.66 | 644.06 | 60 | 46479.85 |
-| DeepSeek-V3-1 | 245.49 | 249.80 | 60 | 14729.69 |
-| GPT-4o-mini | 144.28 | 131.84 | 60 | 8656.53 |
-| GPT-5 | 52.98 | 50.55 | 60 | 3179.00 |
-| Gemini-2.5-flash | 127.63 | 120.13 | 60 | 7657.88 |
-| Gemini-2.5-flash-nothinking | 94.40 | 94.66 | 60 | 5664.18 |
-| Qwen3-235b | 973.11 | 912.25 | 60 | 58386.42 |
 ## Relative Performance (vs. Fastest Model)
@@ -484,7 +484,7 @@ Baseline (fastest): **GPT-5** (52.98s mean)
 | Gemini-2.5-flash-nothinking | 94.40 | +78.2% |
 | Qwen3-235b | 973.11 | +1736.6% |
-**Slowest model:** Qwen3-235b (973.11s mean, +1736.6% slower than baseline)
 ---
@@ -492,15 +492,15 @@ Baseline (fastest): **GPT-5** (52.98s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 839.96 | 711.17 | 60 | 50397.41 |
-| DeepSeek-V3-1 | 339.42 | 328.97 | 60 | 20365.50 |
-| GPT-4o-mini | 129.31 | 107.80 | 60 | 7758.66 |
-| GPT-5 | 59.50 | 57.94 | 60 | 3570.10 |
-| Gemini-2.5-flash | 201.33 | 185.48 | 60 | 12079.56 |
-| Gemini-2.5-flash-nothinking | 163.09 | 156.11 | 60 | 9785.44 |
-| Qwen3-235b | 1381.73 | 1226.34 | 60 | 82903.53 |
 ## Relative Performance (vs. Fastest Model)
@@ -516,7 +516,7 @@ Baseline (fastest): **GPT-5** (59.50s mean)
 | Gemini-2.5-flash-nothinking | 163.09 | +174.1% |
 | Qwen3-235b | 1381.73 | +2222.2% |
-**Slowest model:** Qwen3-235b (1381.73s mean, +2222.2% slower than baseline)
 ---
@@ -524,15 +524,15 @@ Baseline (fastest): **GPT-5** (59.50s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 1130.69 | 1048.39 | 60 | 67841.22 |
-| DeepSeek-V3-1 | 161.80 | 144.55 | 60 | 9707.97 |
-| GPT-4o-mini | 33.96 | 30.11 | 60 | 2037.42 |
-| GPT-5 | 21.10 | 21.42 | 60 | 1266.15 |
-| Gemini-2.5-flash | 151.07 | 118.63 | 60 | 9063.97 |
-| Gemini-2.5-flash-nothinking | 68.41 | 53.95 | 60 | 4104.37 |
-| Qwen3-235b | 82.32 | 75.72 | 60 | 4939.32 |
 ## Relative Performance (vs. Fastest Model)
@@ -548,7 +548,7 @@ Baseline (fastest): **GPT-5** (21.10s mean)
 | Gemini-2.5-flash-nothinking | 68.41 | +224.2% |
 | Qwen3-235b | 82.32 | +290.1% |
-**Slowest model:** DeepSeek-R1 (1130.69s mean, +5258.1% slower than baseline)
 ---
@@ -556,15 +556,15 @@ Baseline (fastest): **GPT-5** (21.10s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 898.25 | 659.13 | 60 | 53895.23 |
-| DeepSeek-V3-1 | 68.15 | 57.57 | 60 | 4089.18 |
-| GPT-4o-mini | 29.00 | 22.22 | 60 | 1739.97 |
-| GPT-5 | 28.21 | 23.74 | 60 | 1692.83 |
-| Gemini-2.5-flash | 83.10 | 64.11 | 60 | 4985.79 |
-| Gemini-2.5-flash-nothinking | 54.03 | 29.85 | 60 | 3241.76 |
-| Qwen3-235b | 69.68 | 57.27 | 60 | 4181.03 |
 ## Relative Performance (vs. Fastest Model)
@@ -580,7 +580,7 @@ Baseline (fastest): **GPT-5** (28.21s mean)
 | Gemini-2.5-flash-nothinking | 54.03 | +91.5% |
 | Qwen3-235b | 69.68 | +147.0% |
-**Slowest model:** DeepSeek-R1 (898.25s mean, +3083.7% slower than baseline)
 ---
@@ -588,15 +588,15 @@ Baseline (fastest): **GPT-5** (28.21s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 941.69 | 908.10 | 60 | 56501.59 |
-| DeepSeek-V3-1 | 112.55 | 103.47 | 60 | 6753.21 |
-| GPT-4o-mini | 48.84 | 46.84 | 60 | 2930.67 |
-| GPT-5 | 26.09 | 26.63 | 60 | 1565.16 |
-| Gemini-2.5-flash | 104.38 | 61.00 | 60 | 6262.88 |
-| Gemini-2.5-flash-nothinking | 46.95 | 29.87 | 60 | 2816.70 |
-| Qwen3-235b | 89.03 | 80.44 | 60 | 5341.82 |
 ## Relative Performance (vs. Fastest Model)
@@ -612,7 +612,7 @@ Baseline (fastest): **GPT-5** (26.09s mean)
 | Gemini-2.5-flash-nothinking | 46.95 | +80.0% |
 | Qwen3-235b | 89.03 | +241.3% |
-**Slowest model:** DeepSeek-R1 (941.69s mean, +3509.9% slower than baseline)
 ---
@@ -620,15 +620,15 @@ Baseline (fastest): **GPT-5** (26.09s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 557.94 | 497.03 | 60 | 33476.23 |
-| DeepSeek-V3-1 | 158.60 | 151.02 | 60 | 9516.19 |
-| GPT-4o-mini | 87.89 | 75.81 | 60 | 5273.64 |
-| GPT-5 | 41.51 | 33.49 | 60 | 2490.59 |
-| Gemini-2.5-flash | 65.45 | 58.31 | 60 | 3927.28 |
-| Gemini-2.5-flash-nothinking | 40.70 | 37.84 | 60 | 2441.80 |
-| Qwen3-235b | 135.01 | 113.26 | 60 | 8100.81 |
 ## Relative Performance (vs. Fastest Model)
@@ -644,7 +644,7 @@ Baseline (fastest): **Gemini-2.5-flash-nothinking** (40.70s mean)
 | Gemini-2.5-flash-nothinking | 40.70 | +0.0% |
 | Qwen3-235b | 135.01 | +231.8% |
-**Slowest model:** DeepSeek-R1 (557.94s mean, +1271.0% slower than baseline)
 ---
@@ -652,15 +652,15 @@ Baseline (fastest): **Gemini-2.5-flash-nothinking** (40.70s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 427.00 | 316.96 | 60 | 25620.06 |
-| DeepSeek-V3-1 | 111.56 | 109.53 | 60 | 6693.43 |
-| GPT-4o-mini | 46.16 | 38.91 | 60 | 2769.74 |
-| GPT-5 | 27.98 | 25.56 | 60 | 1678.90 |
-| Gemini-2.5-flash | 65.04 | 54.59 | 60 | 3902.31 |
-| Gemini-2.5-flash-nothinking | 29.03 | 23.80 | 60 | 1741.76 |
-| Qwen3-235b | 102.98 | 70.84 | 60 | 6178.94 |
 ## Relative Performance (vs. Fastest Model)
@@ -676,7 +676,7 @@ Baseline (fastest): **GPT-5** (27.98s mean)
 | Gemini-2.5-flash-nothinking | 29.03 | +3.7% |
 | Qwen3-235b | 102.98 | +268.0% |
-**Slowest model:** DeepSeek-R1 (427.00s mean, +1426.0% slower than baseline)
 ---
@@ -684,15 +684,15 @@ Baseline (fastest): **GPT-5** (27.98s mean)
 ## Model Statistics Summary
-| Model | Mean (s) | Median (s) | Count | Total (s) |
-| --- | --- | --- | --- | --- |
-| DeepSeek-R1 | 735.24 | 628.71 | 60 | 44114.13 |
-| DeepSeek-V3-1 | 219.42 | 197.26 | 60 | 13164.95 |
-| GPT-4o-mini | 144.00 | 111.81 | 60 | 8640.11 |
-| GPT-5 | 39.59 | 33.41 | 60 | 2375.23 |
-| Gemini-2.5-flash | 59.94 | 55.27 | 60 | 3596.43 |
-| Gemini-2.5-flash-nothinking | 38.63 | 37.92 | 60 | 2317.81 |
-| Qwen3-235b | 126.60 | 105.77 | 60 | 7595.78 |
 ## Relative Performance (vs. Fastest Model)
@@ -708,7 +708,7 @@ Baseline (fastest): **Gemini-2.5-flash-nothinking** (38.63s mean)
 | Gemini-2.5-flash-nothinking | 38.63 | +0.0% |
 | Qwen3-235b | 126.60 | +227.7% |
-**Slowest model:** DeepSeek-R1 (735.24s mean, +1803.3% slower than baseline)
 ---

 This document compares model performance within each of the 21 projects.
 Each project shows:
+- Model statistics (mean)
 - Relative performance compared to the fastest model
 ---
 ### Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| GPT-5 | 45.52 |
+| GPT-4o-mini | 69.33 |
+| DeepSeek-V3-1 | 191.58 |
+| DeepSeek-R1 | 589.60 |
+| Gemini-2.5-flash | 175.03 |
+| Gemini-2.5-flash-nothinking | 110.57 |
+| Qwen3-235b | 307.27 |
 ### Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 110.57 | +142.9% |
 | Qwen3-235b | 307.27 | +574.9% |
+**Slowest model:** DeepSeek-R1 (589.60s mean, +1195.1% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 961.15 |
+| DeepSeek-V3-1 | 443.80 |
+| GPT-4o-mini | 101.15 |
+| GPT-5 | 193.58 |
+| Gemini-2.5-flash | 240.55 |
+| Gemini-2.5-flash-nothinking | 133.91 |
+| Qwen3-235b | 458.96 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 133.91 | +32.4% |
 | Qwen3-235b | 458.96 | +353.7% |
+**Slowest model:** DeepSeek-R1 (961.15s mean, +850.2% slower than baseline GPT-4o-mini)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 829.76 |
+| DeepSeek-V3-1 | 295.61 |
+| GPT-4o-mini | 101.57 |
+| GPT-5 | 111.41 |
+| Gemini-2.5-flash | 172.33 |
+| Gemini-2.5-flash-nothinking | 81.73 |
+| Qwen3-235b | 256.93 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 81.73 | +0.0% |
 | Qwen3-235b | 256.93 | +214.4% |
+**Slowest model:** DeepSeek-R1 (829.76s mean, +915.2% slower than baseline Gemini-2.5-flash-nothinking)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 960.29 |
+| DeepSeek-V3-1 | 395.67 |
+| GPT-4o-mini | 112.23 |
+| GPT-5 | 140.17 |
+| Gemini-2.5-flash | 183.47 |
+| Gemini-2.5-flash-nothinking | 115.47 |
+| Qwen3-235b | 442.38 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 115.47 | +2.9% |
 | Qwen3-235b | 442.38 | +294.2% |
+**Slowest model:** DeepSeek-R1 (960.29s mean, +755.7% slower than baseline GPT-4o-mini)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 233.49 |
+| DeepSeek-V3-1 | 47.23 |
+| GPT-4o-mini | 17.90 |
+| GPT-5 | 9.41 |
+| Gemini-2.5-flash | 180.03 |
+| Gemini-2.5-flash-nothinking | 217.85 |
+| Qwen3-235b | 37.41 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 217.85 | +2214.3% |
 | Qwen3-235b | 37.41 | +297.4% |
+**Slowest model:** DeepSeek-R1 (233.49s mean, +2380.4% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 141.80 |
+| DeepSeek-V3-1 | 44.42 |
+| GPT-4o-mini | 18.15 |
+| GPT-5 | 8.25 |
+| Gemini-2.5-flash | 115.85 |
+| Gemini-2.5-flash-nothinking | 151.00 |
+| Qwen3-235b | 38.30 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 151.00 | +1730.1% |
 | Qwen3-235b | 38.30 | +364.2% |
+**Slowest model:** Gemini-2.5-flash-nothinking (151.00s mean, +1730.1% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 914.94 |
+| DeepSeek-V3-1 | 518.26 |
+| GPT-4o-mini | 94.49 |
+| GPT-5 | 45.35 |
+| Gemini-2.5-flash | 163.51 |
+| Gemini-2.5-flash-nothinking | 169.19 |
+| Qwen3-235b | 317.52 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 169.19 | +273.1% |
 | Qwen3-235b | 317.52 | +600.1% |
+**Slowest model:** DeepSeek-R1 (914.94s mean, +1917.5% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 827.60 |
+| DeepSeek-V3-1 | 516.71 |
+| GPT-4o-mini | 136.40 |
+| GPT-5 | 43.16 |
+| Gemini-2.5-flash | 185.74 |
+| Gemini-2.5-flash-nothinking | 120.75 |
+| Qwen3-235b | 316.86 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 120.75 | +179.8% |
 | Qwen3-235b | 316.86 | +634.2% |
+**Slowest model:** DeepSeek-R1 (827.60s mean, +1817.7% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 302.33 |
+| DeepSeek-V3-1 | 215.52 |
+| GPT-4o-mini | 44.98 |
+| GPT-5 | 23.26 |
+| Gemini-2.5-flash | 76.95 |
+| Gemini-2.5-flash-nothinking | 98.14 |
+| Qwen3-235b | 208.99 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 98.14 | +321.9% |
 | Qwen3-235b | 208.99 | +798.4% |
+**Slowest model:** DeepSeek-R1 (302.33s mean, +1199.6% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 283.59 |
+| DeepSeek-V3-1 | 234.43 |
+| GPT-4o-mini | 41.31 |
+| GPT-5 | 30.31 |
+| Gemini-2.5-flash | 73.92 |
+| Gemini-2.5-flash-nothinking | 47.47 |
+| Qwen3-235b | 196.56 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 47.47 | +56.6% |
 | Qwen3-235b | 196.56 | +548.5% |
+**Slowest model:** DeepSeek-R1 (283.59s mean, +835.7% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 274.53 |
+| DeepSeek-V3-1 | 135.84 |
+| GPT-4o-mini | 55.93 |
+| GPT-5 | 23.98 |
+| Gemini-2.5-flash | 91.42 |
+| Gemini-2.5-flash-nothinking | 97.29 |
+| Qwen3-235b | 92.07 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 97.29 | +305.7% |
 | Qwen3-235b | 92.07 | +283.9% |
+**Slowest model:** DeepSeek-R1 (274.53s mean, +1044.7% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 147.98 |
+| DeepSeek-V3-1 | 10.29 |
+| GPT-4o-mini | 8.47 |
+| GPT-5 | 7.32 |
+| Gemini-2.5-flash | 554.35 |
+| Gemini-2.5-flash-nothinking | 132.33 |
+| Qwen3-235b | 9.54 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 132.33 | +1708.2% |
 | Qwen3-235b | 9.54 | +30.3% |
+**Slowest model:** Gemini-2.5-flash (554.35s mean, +7474.7% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 129.20 |
+| DeepSeek-V3-1 | 10.69 |
+| GPT-4o-mini | 3.58 |
+| GPT-5 | 2.98 |
+| Gemini-2.5-flash | 457.36 |
+| Gemini-2.5-flash-nothinking | 168.14 |
+| Qwen3-235b | 10.49 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 168.14 | +5534.3% |
 | Qwen3-235b | 10.49 | +251.5% |
+**Slowest model:** Gemini-2.5-flash (457.36s mean, +15225.7% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 922.16 |
+| DeepSeek-V3-1 | 312.32 |
+| GPT-4o-mini | 178.62 |
+| GPT-5 | 67.32 |
+| Gemini-2.5-flash | 357.79 |
+| Gemini-2.5-flash-nothinking | 195.19 |
+| Qwen3-235b | 1476.89 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 195.19 | +190.0% |
 | Qwen3-235b | 1476.89 | +2094.0% |
+**Slowest model:** Qwen3-235b (1476.89s mean, +2094.0% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 774.66 |
+| DeepSeek-V3-1 | 245.49 |
+| GPT-4o-mini | 144.28 |
+| GPT-5 | 52.98 |
+| Gemini-2.5-flash | 127.63 |
+| Gemini-2.5-flash-nothinking | 94.40 |
+| Qwen3-235b | 973.11 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 94.40 | +78.2% |
 | Qwen3-235b | 973.11 | +1736.6% |
+**Slowest model:** Qwen3-235b (973.11s mean, +1736.6% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 839.96 |
+| DeepSeek-V3-1 | 339.42 |
+| GPT-4o-mini | 129.31 |
+| GPT-5 | 59.50 |
+| Gemini-2.5-flash | 201.33 |
+| Gemini-2.5-flash-nothinking | 163.09 |
+| Qwen3-235b | 1381.73 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 163.09 | +174.1% |
 | Qwen3-235b | 1381.73 | +2222.2% |
+**Slowest model:** Qwen3-235b (1381.73s mean, +2222.2% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 1130.69 |
+| DeepSeek-V3-1 | 161.80 |
+| GPT-4o-mini | 33.96 |
+| GPT-5 | 21.10 |
+| Gemini-2.5-flash | 151.07 |
+| Gemini-2.5-flash-nothinking | 68.41 |
+| Qwen3-235b | 82.32 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 68.41 | +224.2% |
 | Qwen3-235b | 82.32 | +290.1% |
+**Slowest model:** DeepSeek-R1 (1130.69s mean, +5258.1% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 898.25 |
+| DeepSeek-V3-1 | 68.15 |
+| GPT-4o-mini | 29.00 |
+| GPT-5 | 28.21 |
+| Gemini-2.5-flash | 83.10 |
+| Gemini-2.5-flash-nothinking | 54.03 |
+| Qwen3-235b | 69.68 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 54.03 | +91.5% |
 | Qwen3-235b | 69.68 | +147.0% |
+**Slowest model:** DeepSeek-R1 (898.25s mean, +3083.7% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 941.69 |
+| DeepSeek-V3-1 | 112.55 |
+| GPT-4o-mini | 48.84 |
+| GPT-5 | 26.09 |
+| Gemini-2.5-flash | 104.38 |
+| Gemini-2.5-flash-nothinking | 46.95 |
+| Qwen3-235b | 89.03 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 46.95 | +80.0% |
 | Qwen3-235b | 89.03 | +241.3% |
+**Slowest model:** DeepSeek-R1 (941.69s mean, +3509.9% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 557.94 |
+| DeepSeek-V3-1 | 158.60 |
+| GPT-4o-mini | 87.89 |
+| GPT-5 | 41.51 |
+| Gemini-2.5-flash | 65.45 |
+| Gemini-2.5-flash-nothinking | 40.70 |
+| Qwen3-235b | 135.01 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 40.70 | +0.0% |
 | Qwen3-235b | 135.01 | +231.8% |
+**Slowest model:** DeepSeek-R1 (557.94s mean, +1271.0% slower than baseline Gemini-2.5-flash-nothinking)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 427.00 |
+| DeepSeek-V3-1 | 111.56 |
+| GPT-4o-mini | 46.16 |
+| GPT-5 | 27.98 |
+| Gemini-2.5-flash | 65.04 |
+| Gemini-2.5-flash-nothinking | 29.03 |
+| Qwen3-235b | 102.98 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 29.03 | +3.7% |
 | Qwen3-235b | 102.98 | +268.0% |
+**Slowest model:** DeepSeek-R1 (427.00s mean, +1426.0% slower than baseline GPT-5)
 ---
 ## Model Statistics Summary
+| Model | Mean (s) |
+| --- | --- |
+| DeepSeek-R1 | 735.24 |
+| DeepSeek-V3-1 | 219.42 |
+| GPT-4o-mini | 144.00 |
+| GPT-5 | 39.59 |
+| Gemini-2.5-flash | 59.94 |
+| Gemini-2.5-flash-nothinking | 38.63 |
+| Qwen3-235b | 126.60 |
 ## Relative Performance (vs. Fastest Model)
 | Gemini-2.5-flash-nothinking | 38.63 | +0.0% |
 | Qwen3-235b | 126.60 | +227.7% |
+**Slowest model:** DeepSeek-R1 (735.24s mean, +1803.3% slower than baseline Gemini-2.5-flash-nothinking)
 ---

data/processed/RQ2/ECDFs/Time_Comparison_A2A_vs_A2A_mix.md DELETED Viewed

@@ -1,38 +0,0 @@
-# Overall A2A vs A2A_mix Time Comparison
-Averaged across all projects: SQL_assistant, intelligent_recruitment_platform, landing_page_generator, self_evaluation_loop_flow, write_a_book_with_flows
-## Framework-Level Comparison (All Models Averaged)
-| A2A Mean (s) | A2A_mix Mean (s) | Diff (A2A-A2A_mix) |
-| --- | --- | --- |
----
-## Per-Model Summary
-| Model | A2A Mean (s) | A2A_mix Mean (s) | Diff (A2A-A2A_mix) |
-| --- | --- | --- | --- |
----
-# SQL_assistant: A2A vs A2A_mix
-_Data not available for comparison_
-# intelligent_recruitment_platform: A2A vs A2A_mix
-_Data not available for comparison_
-# landing_page_generator: A2A vs A2A_mix
-_Data not available for comparison_
-# self_evaluation_loop_flow: A2A vs A2A_mix
-_Data not available for comparison_
-# write_a_book_with_flows: A2A vs A2A_mix
-_Data not available for comparison_

data/processed/RQ2/ECDFs/Time_Comparison_A2A_vs_H_A2A.md ADDED Viewed

	@@ -0,0 +1,136 @@

+# Overall A2A vs H_A2A Time Comparison
+Averaged across all projects: SQLAssistant, RecruitmentAssistant, LandingPageGenerator, SocialMediaManager, BookWriter
+## Framework-Level Comparison (All Models Averaged)
+| A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- |
+| 278.57 | 205.99 | +72.58s (+35.2%) |
+---
+## Per-Model Summary
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 774.85 | 642.65 | +132.20s (+20.6%) |
+| DeepSeek-V3-1 | 258.41 | 191.05 | +67.36s (+35.3%) |
+| GPT-4o-mini | 89.32 | 72.46 | +16.86s (+23.3%) |
+| GPT-5 | 69.35 | 50.18 | +19.17s (+38.2%) |
+| Gemini-2.5-flash | 178.36 | 104.40 | +73.96s (+70.8%) |
+| Gemini-2.5-flash-nothinking | 107.27 | 61.33 | +45.94s (+74.9%) |
+| Qwen3-235b | 472.44 | 319.85 | +152.58s (+47.7%) |
+---
+# SQLAssistant: A2A vs H_A2A
+## Overall Summary (Averaged Across All Models)
+| A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- |
+| 235.62 | 175.78 | +59.84s (+34.0%) |
+---
+## Per-Model Comparison
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 1130.69 | 898.25 | +232.43s (+25.9%) |
+| DeepSeek-V3-1 | 161.80 | 68.15 | +93.65s (+137.4%) |
+| GPT-4o-mini | 33.96 | 29.00 | +4.96s (+17.1%) |
+| GPT-5 | 21.10 | 28.21 | -7.11s (-25.2%) |
+| Gemini-2.5-flash | 151.07 | 83.10 | +67.97s (+81.8%) |
+| Gemini-2.5-flash-nothinking | 68.41 | 54.03 | +14.38s (+26.6%) |
+| Qwen3-235b | 82.32 | 69.68 | +12.64s (+18.1%) |
+# RecruitmentAssistant: A2A vs H_A2A
+## Overall Summary (Averaged Across All Models)
+| A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- |
+| 501.47 | 344.65 | +156.82s (+45.5%) |
+---
+## Per-Model Comparison
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 922.16 | 774.66 | +147.50s (+19.0%) |
+| DeepSeek-V3-1 | 312.32 | 245.49 | +66.83s (+27.2%) |
+| GPT-4o-mini | 178.62 | 144.28 | +34.34s (+23.8%) |
+| GPT-5 | 67.32 | 52.98 | +14.33s (+27.0%) |
+| Gemini-2.5-flash | 357.79 | 127.63 | +230.16s (+180.3%) |
+| Gemini-2.5-flash-nothinking | 195.19 | 94.40 | +100.79s (+106.8%) |
+| Qwen3-235b | 1476.89 | 973.11 | +503.78s (+51.8%) |
+# LandingPageGenerator: A2A vs H_A2A
+## Overall Summary (Averaged Across All Models)
+| A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- |
+| 138.60 | 129.66 | +8.94s (+6.9%) |
+---
+## Per-Model Comparison
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 302.33 | 283.59 | +18.74s (+6.6%) |
+| DeepSeek-V3-1 | 215.52 | 234.43 | -18.91s (-8.1%) |
+| GPT-4o-mini | 44.98 | 41.31 | +3.66s (+8.9%) |
+| GPT-5 | 23.26 | 30.31 | -7.05s (-23.2%) |
+| Gemini-2.5-flash | 76.95 | 73.92 | +3.03s (+4.1%) |
+| Gemini-2.5-flash-nothinking | 98.14 | 47.47 | +50.67s (+106.7%) |
+| Qwen3-235b | 208.99 | 196.56 | +12.44s (+6.3%) |
+# SocialMediaManager: A2A vs H_A2A
+## Overall Summary (Averaged Across All Models)
+| A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- |
+| 155.30 | 115.68 | +39.62s (+34.3%) |
+---
+## Per-Model Comparison
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 557.94 | 427.00 | +130.94s (+30.7%) |
+| DeepSeek-V3-1 | 158.60 | 111.56 | +47.05s (+42.2%) |
+| GPT-4o-mini | 87.89 | 46.16 | +41.73s (+90.4%) |
+| GPT-5 | 41.51 | 27.98 | +13.53s (+48.3%) |
+| Gemini-2.5-flash | 65.45 | 65.04 | +0.42s (+0.6%) |
+| Gemini-2.5-flash-nothinking | 40.70 | 29.03 | +11.67s (+40.2%) |
+| Qwen3-235b | 135.01 | 102.98 | +32.03s (+31.1%) |
+# BookWriter: A2A vs H_A2A
+## Overall Summary (Averaged Across All Models)
+| A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- |
+| 361.87 | 264.19 | +97.68s (+37.0%) |
+---
+## Per-Model Comparison
+| Model | A2A Mean (s) | H_A2A Mean (s) | Diff (A2A-H_A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 961.15 | 829.76 | +131.39s (+15.8%) |
+| DeepSeek-V3-1 | 443.80 | 295.61 | +148.19s (+50.1%) |
+| GPT-4o-mini | 101.15 | 101.57 | -0.42s (-0.4%) |
+| GPT-5 | 193.58 | 111.41 | +82.17s (+73.8%) |
+| Gemini-2.5-flash | 240.55 | 172.33 | +68.22s (+39.6%) |
+| Gemini-2.5-flash-nothinking | 133.91 | 81.73 | +52.18s (+63.8%) |
+| Qwen3-235b | 458.96 | 256.93 | +202.03s (+78.6%) |

data/processed/RQ2/ECDFs/Time_Comparison_MCP_vs_A2A.md CHANGED Viewed

@@ -1,11 +1,12 @@
 # Overall MCP vs A2A Time Comparison
-Averaged across all projects: SQL_assistant, intelligent_recruitment_platform, landing_page_generator, self_evaluation_loop_flow, write_a_book_with_flows
 ## Framework-Level Comparison (All Models Averaged)
 | MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
 | --- | --- | --- |
 ---
@@ -13,26 +14,123 @@ Averaged across all projects: SQL_assistant, intelligent_recruitment_platform, l
 | Model | MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
 | --- | --- | --- | --- |
 ---
-# SQL_assistant: MCP vs A2A
-_Data not available for comparison_
-# intelligent_recruitment_platform: MCP vs A2A
-_Data not available for comparison_
-# landing_page_generator: MCP vs A2A
-_Data not available for comparison_
-# self_evaluation_loop_flow: MCP vs A2A
-_Data not available for comparison_
-# write_a_book_with_flows: MCP vs A2A
-_Data not available for comparison_

 # Overall MCP vs A2A Time Comparison
+Averaged across all projects: SQLAssistant, RecruitmentAssistant, LandingPageGenerator, SocialMediaManager, BookWriter
 ## Framework-Level Comparison (All Models Averaged)
 | MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
 | --- | --- | --- |
+| 256.23 | 278.57 | -22.34s (-8.0%) |
 ---
 | Model | MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
 | --- | --- | --- | --- |
+| DeepSeek-R1 | 750.34 | 774.85 | -24.51s (-3.2%) |
+| DeepSeek-V3-1 | 240.58 | 258.41 | -17.83s (-6.9%) |
+| GPT-4o-mini | 98.06 | 89.32 | +8.74s (+9.8%) |
+| GPT-5 | 57.86 | 69.35 | -11.49s (-16.6%) |
+| Gemini-2.5-flash | 128.11 | 178.36 | -50.26s (-28.2%) |
+| Gemini-2.5-flash-nothinking | 92.28 | 107.27 | -14.98s (-14.0%) |
+| Qwen3-235b | 426.36 | 472.44 | -46.07s (-9.8%) |
 ---
+# SQLAssistant: MCP vs A2A
+## Overall Summary (Averaged Across All Models)
+| MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
+| --- | --- | --- |
+| 195.65 | 235.62 | -39.97s (-17.0%) |
+---
+## Per-Model Comparison
+| Model | MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 941.69 | 1130.69 | -188.99s (-16.7%) |
+| DeepSeek-V3-1 | 112.55 | 161.80 | -49.25s (-30.4%) |
+| GPT-4o-mini | 48.84 | 33.96 | +14.89s (+43.8%) |
+| GPT-5 | 26.09 | 21.10 | +4.98s (+23.6%) |
+| Gemini-2.5-flash | 104.38 | 151.07 | -46.68s (-30.9%) |
+| Gemini-2.5-flash-nothinking | 46.95 | 68.41 | -21.46s (-31.4%) |
+| Qwen3-235b | 89.03 | 82.32 | +6.71s (+8.1%) |
+# RecruitmentAssistant: MCP vs A2A
+## Overall Summary (Averaged Across All Models)
+| MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
+| --- | --- | --- |
+| 444.91 | 501.47 | -56.56s (-11.3%) |
+---
+## Per-Model Comparison
+| Model | MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 839.96 | 922.16 | -82.21s (-8.9%) |
+| DeepSeek-V3-1 | 339.42 | 312.32 | +27.10s (+8.7%) |
+| GPT-4o-mini | 129.31 | 178.62 | -49.31s (-27.6%) |
+| GPT-5 | 59.50 | 67.32 | -7.81s (-11.6%) |
+| Gemini-2.5-flash | 201.33 | 357.79 | -156.46s (-43.7%) |
+| Gemini-2.5-flash-nothinking | 163.09 | 195.19 | -32.10s (-16.4%) |
+| Qwen3-235b | 1381.73 | 1476.89 | -95.16s (-6.4%) |
+# LandingPageGenerator: MCP vs A2A
+## Overall Summary (Averaged Across All Models)
+| MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
+| --- | --- | --- |
+| 110.15 | 138.60 | -28.44s (-20.5%) |
+---
+## Per-Model Comparison
+| Model | MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 274.53 | 302.33 | -27.80s (-9.2%) |
+| DeepSeek-V3-1 | 135.84 | 215.52 | -79.68s (-37.0%) |
+| GPT-4o-mini | 55.93 | 44.98 | +10.95s (+24.4%) |
+| GPT-5 | 23.98 | 23.26 | +0.72s (+3.1%) |
+| Gemini-2.5-flash | 91.42 | 76.95 | +14.46s (+18.8%) |
+| Gemini-2.5-flash-nothinking | 97.29 | 98.14 | -0.85s (-0.9%) |
+| Qwen3-235b | 92.07 | 208.99 | -116.92s (-55.9%) |
+# SocialMediaManager: MCP vs A2A
+## Overall Summary (Averaged Across All Models)
+| MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
+| --- | --- | --- |
+| 194.77 | 155.30 | +39.47s (+25.4%) |
+---
+## Per-Model Comparison
+| Model | MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 735.24 | 557.94 | +177.30s (+31.8%) |
+| DeepSeek-V3-1 | 219.42 | 158.60 | +60.81s (+38.3%) |
+| GPT-4o-mini | 144.00 | 87.89 | +56.11s (+63.8%) |
+| GPT-5 | 39.59 | 41.51 | -1.92s (-4.6%) |
+| Gemini-2.5-flash | 59.94 | 65.45 | -5.51s (-8.4%) |
+| Gemini-2.5-flash-nothinking | 38.63 | 40.70 | -2.07s (-5.1%) |
+| Qwen3-235b | 126.60 | 135.01 | -8.42s (-6.2%) |
+# BookWriter: MCP vs A2A
+## Overall Summary (Averaged Across All Models)
+| MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
+| --- | --- | --- |
+| 335.67 | 361.87 | -26.20s (-7.2%) |
+---
+## Per-Model Comparison
+| Model | MCP Mean (s) | A2A Mean (s) | Diff (MCP-A2A) |
+| --- | --- | --- | --- |
+| DeepSeek-R1 | 960.29 | 961.15 | -0.86s (-0.1%) |
+| DeepSeek-V3-1 | 395.67 | 443.80 | -48.13s (-10.8%) |
+| GPT-4o-mini | 112.23 | 101.15 | +11.08s (+11.0%) |
+| GPT-5 | 140.17 | 193.58 | -53.41s (-27.6%) |
+| Gemini-2.5-flash | 183.47 | 240.55 | -57.08s (-23.7%) |
+| Gemini-2.5-flash-nothinking | 115.47 | 133.91 | -18.44s (-13.8%) |
+| Qwen3-235b | 442.38 | 458.96 | -16.58s (-3.6%) |

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