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Model token distribution per project

Per-project, per-model total token usage with breakdown by execution outcome. Only the mean total tokens are reported. Baseline vs maximum is computed from the overall mean aggregated across all three statuses.

Global Summary (All Projects Combined)

Overall per-model total tokens

Model n Mean
GPT-5 1270 38,411
GPT-4o-mini 1270 52,051
DeepSeek-V3.1 1270 59,788
DeepSeek-R1 1270 72,750
Gemini-2.5 1270 53,359
Gemini-2.5-NT 1270 38,578
Qwen3-235b 1270 39,751

Baseline vs maximum (Overall per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 38,411 tokens
  • Maximum (highest mean): DeepSeek-R1 = 72,750 tokens
  • Delta: 34,340 (89.4%)

Series Aggregates (Aggregated by Base Task)

Series: BookWriter

Aggregated tokens for BookWriter

Model n Mean
GPT-5 180 163,074
GPT-4o-mini 180 125,190
DeepSeek-V3.1 180 199,265
DeepSeek-R1 180 169,089
Gemini-2.5 180 102,955
Gemini-2.5-NT 180 78,207
Qwen3-235b 180 101,878

Baseline vs maximum (Aggregated tokens for BookWriter)

  • Baseline (lowest mean): Gemini-2.5-NT = 78,207 tokens
  • Maximum (highest mean): DeepSeek-V3.1 = 199,265 tokens
  • Delta: 121,058 (154.8%)

Series: EmailResponder

Aggregated tokens for EmailResponder

Model n Mean
GPT-5 200 6,232
GPT-4o-mini 200 8,741
DeepSeek-V3.1 200 8,506
DeepSeek-R1 200 16,192
Gemini-2.5 200 36,628
Gemini-2.5-NT 200 38,777
Qwen3-235b 200 6,667

Baseline vs maximum (Aggregated tokens for EmailResponder)

  • Baseline (lowest mean): GPT-5 = 6,232 tokens
  • Maximum (highest mean): Gemini-2.5-NT = 38,777 tokens
  • Delta: 32,545 (522.2%)

Series: GameBuilder

Aggregated tokens for GameBuilder

Model n Mean
GPT-5 50 22,665
GPT-4o-mini 50 32,909
DeepSeek-V3.1 50 48,315
DeepSeek-R1 50 44,694
Gemini-2.5 50 74,145
Gemini-2.5-NT 50 59,373
Qwen3-235b 50 24,125

Baseline vs maximum (Aggregated tokens for GameBuilder)

  • Baseline (lowest mean): GPT-5 = 22,665 tokens
  • Maximum (highest mean): Gemini-2.5 = 74,145 tokens
  • Delta: 51,480 (227.1%)

Series: LandingPageGenerator

Aggregated tokens for LandingPageGenerator

Model n Mean
GPT-5 180 17,638
GPT-4o-mini 180 27,726
DeepSeek-V3.1 180 26,392
DeepSeek-R1 180 38,077
Gemini-2.5 180 31,011
Gemini-2.5-NT 180 23,734
Qwen3-235b 180 16,749

Baseline vs maximum (Aggregated tokens for LandingPageGenerator)

  • Baseline (lowest mean): Qwen3-235b = 16,749 tokens
  • Maximum (highest mean): DeepSeek-R1 = 38,077 tokens
  • Delta: 21,328 (127.3%)

Series: MarkdownValidator

Aggregated tokens for MarkdownValidator

Model n Mean
GPT-5 120 1,910
GPT-4o-mini 120 1,897
DeepSeek-V3.1 120 2,006
DeepSeek-R1 120 5,898
Gemini-2.5 120 115,364
Gemini-2.5-NT 120 46,614
Qwen3-235b 120 1,924

Baseline vs maximum (Aggregated tokens for MarkdownValidator)

  • Baseline (lowest mean): GPT-4o-mini = 1,897 tokens
  • Maximum (highest mean): Gemini-2.5 = 115,364 tokens
  • Delta: 113,466 (5980.0%)

Series: RecruitmentAssistant

Aggregated tokens for RecruitmentAssistant

Model n Mean
GPT-5 180 32,358
GPT-4o-mini 180 92,274
DeepSeek-V3.1 180 65,486
DeepSeek-R1 180 78,894
Gemini-2.5 180 63,570
Gemini-2.5-NT 180 48,983
Qwen3-235b 180 86,025

Baseline vs maximum (Aggregated tokens for RecruitmentAssistant)

  • Baseline (lowest mean): GPT-5 = 32,358 tokens
  • Maximum (highest mean): GPT-4o-mini = 92,274 tokens
  • Delta: 59,916 (185.2%)

Series: SQLAssistant

Aggregated tokens for SQLAssistant

Model n Mean
GPT-5 180 11,342
GPT-4o-mini 180 18,870
DeepSeek-V3.1 180 26,307
DeepSeek-R1 180 82,118
Gemini-2.5 180 25,363
Gemini-2.5-NT 180 19,757
Qwen3-235b 180 16,464

Baseline vs maximum (Aggregated tokens for SQLAssistant)

  • Baseline (lowest mean): GPT-5 = 11,342 tokens
  • Maximum (highest mean): DeepSeek-R1 = 82,118 tokens
  • Delta: 70,776 (624.0%)

Series: SocialMediaManager

Aggregated tokens for SocialMediaManager

Model n Mean
GPT-5 180 32,102
GPT-4o-mini 180 83,075
DeepSeek-V3.1 180 80,179
DeepSeek-R1 180 110,777
Gemini-2.5 180 15,376
Gemini-2.5-NT 180 10,850
Qwen3-235b 180 43,954

Baseline vs maximum (Aggregated tokens for SocialMediaManager)

  • Baseline (lowest mean): Gemini-2.5-NT = 10,850 tokens
  • Maximum (highest mean): DeepSeek-R1 = 110,777 tokens
  • Delta: 99,927 (920.9%)

Individual Project Details

BookWriter-MCP

Per-model total tokens

Model n Mean
GPT-5 60 190,842
GPT-4o-mini 60 133,339
DeepSeek-V3.1 60 184,315
DeepSeek-R1 60 190,705
Gemini-2.5 60 107,154
Gemini-2.5-NT 60 82,546
Qwen3-235b 60 110,716

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): Gemini-2.5-NT = 82,546 tokens
  • Maximum (highest mean): GPT-5 = 190,842 tokens
  • Delta: 108,296 (131.2%)

BookWriter-A2A

Per-model total tokens

Model n Mean
GPT-5 60 181,022
GPT-4o-mini 60 139,665
DeepSeek-V3.1 60 272,275
DeepSeek-R1 60 186,678
Gemini-2.5 60 110,126
Gemini-2.5-NT 60 86,249
Qwen3-235b 60 118,406

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): Gemini-2.5-NT = 86,249 tokens
  • Maximum (highest mean): DeepSeek-V3.1 = 272,275 tokens
  • Delta: 186,026 (215.7%)

BookWriter-H-A2A

Per-model total tokens

Model n Mean
GPT-5 60 117,358
GPT-4o-mini 60 102,564
DeepSeek-V3.1 60 141,204
DeepSeek-R1 60 129,883
Gemini-2.5 60 91,585
Gemini-2.5-NT 60 65,826
Qwen3-235b 60 76,512

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): Gemini-2.5-NT = 65,826 tokens
  • Maximum (highest mean): DeepSeek-V3.1 = 141,204 tokens
  • Delta: 75,378 (114.5%)

EmailResponder

Per-model total tokens

Model n Mean
GPT-5 100 5,562
GPT-4o-mini 100 8,044
DeepSeek-V3.1 100 7,431
DeepSeek-R1 100 16,982
Gemini-2.5 100 35,189
Gemini-2.5-NT 100 42,421
Qwen3-235b 100 5,900

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 5,562 tokens
  • Maximum (highest mean): Gemini-2.5-NT = 42,421 tokens
  • Delta: 36,859 (662.8%)

EmailResponder-MCP

Per-model total tokens

Model n Mean
GPT-5 100 6,903
GPT-4o-mini 100 9,437
DeepSeek-V3.1 100 9,580
DeepSeek-R1 100 15,403
Gemini-2.5 100 38,066
Gemini-2.5-NT 100 35,133
Qwen3-235b 100 7,434

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 6,903 tokens
  • Maximum (highest mean): Gemini-2.5 = 38,066 tokens
  • Delta: 31,163 (451.4%)

GameBuilder

Per-model total tokens

Model n Mean
GPT-5 25 22,904
GPT-4o-mini 25 17,823
DeepSeek-V3.1 25 41,341
DeepSeek-R1 25 44,536
Gemini-2.5 25 72,772
Gemini-2.5-NT 25 67,964
Qwen3-235b 25 24,212

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-4o-mini = 17,823 tokens
  • Maximum (highest mean): Gemini-2.5 = 72,772 tokens
  • Delta: 54,949 (308.3%)

GameBuilder-MCP

Per-model total tokens

Model n Mean
GPT-5 25 22,425
GPT-4o-mini 25 47,996
DeepSeek-V3.1 25 55,289
DeepSeek-R1 25 44,851
Gemini-2.5 25 75,519
Gemini-2.5-NT 25 50,782
Qwen3-235b 25 24,039

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 22,425 tokens
  • Maximum (highest mean): Gemini-2.5 = 75,519 tokens
  • Delta: 53,093 (236.8%)

LandingPageGenerator-MCP

Per-model total tokens

Model n Mean
GPT-5 60 12,653
GPT-4o-mini 60 19,250
DeepSeek-V3.1 60 15,866
DeepSeek-R1 60 28,371
Gemini-2.5 60 26,527
Gemini-2.5-NT 60 33,428
Qwen3-235b 60 14,478

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 12,653 tokens
  • Maximum (highest mean): Gemini-2.5-NT = 33,428 tokens
  • Delta: 20,775 (164.2%)

LandingPageGenerator-A2A

Per-model total tokens

Model n Mean
GPT-5 60 14,965
GPT-4o-mini 60 20,340
DeepSeek-V3.1 60 28,814
DeepSeek-R1 60 28,657
Gemini-2.5 60 21,256
Gemini-2.5-NT 60 22,826
Qwen3-235b 60 18,142

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 14,965 tokens
  • Maximum (highest mean): DeepSeek-V3.1 = 28,814 tokens
  • Delta: 13,849 (92.5%)

LandingPageGenerator-H-A2A

Per-model total tokens

Model n Mean
GPT-5 60 25,296
GPT-4o-mini 60 43,589
DeepSeek-V3.1 60 34,496
DeepSeek-R1 60 57,203
Gemini-2.5 60 45,250
Gemini-2.5-NT 60 14,949
Qwen3-235b 60 17,628

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): Gemini-2.5-NT = 14,949 tokens
  • Maximum (highest mean): DeepSeek-R1 = 57,203 tokens
  • Delta: 42,254 (282.6%)

MarkdownValidator

Per-model total tokens

Model n Mean
GPT-5 60 1,853
GPT-4o-mini 60 1,853
DeepSeek-V3.1 60 1,948
DeepSeek-R1 60 5,912
Gemini-2.5 60 135,224
Gemini-2.5-NT 60 31,330
Qwen3-235b 60 1,854

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 1,853 tokens
  • Maximum (highest mean): Gemini-2.5 = 135,224 tokens
  • Delta: 133,372 (7199.5%)

MarkdownValidator-MCP

Per-model total tokens

Model n Mean
GPT-5 60 1,967
GPT-4o-mini 60 1,942
DeepSeek-V3.1 60 2,063
DeepSeek-R1 60 5,885
Gemini-2.5 60 95,503
Gemini-2.5-NT 60 61,899
Qwen3-235b 60 1,994

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-4o-mini = 1,942 tokens
  • Maximum (highest mean): Gemini-2.5 = 95,503 tokens
  • Delta: 93,561 (4819.0%)

RecruitmentAssistant-MCP

Per-model total tokens

Model n Mean
GPT-5 60 32,411
GPT-4o-mini 60 99,933
DeepSeek-V3.1 60 65,748
DeepSeek-R1 60 84,686
Gemini-2.5 60 64,864
Gemini-2.5-NT 60 54,402
Qwen3-235b 60 87,098

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 32,411 tokens
  • Maximum (highest mean): GPT-4o-mini = 99,933 tokens
  • Delta: 67,523 (208.3%)

RecruitmentAssistant-A2A

Per-model total tokens

Model n Mean
GPT-5 60 31,991
GPT-4o-mini 60 74,951
DeepSeek-V3.1 60 65,662
DeepSeek-R1 60 72,968
Gemini-2.5 60 68,719
Gemini-2.5-NT 60 55,660
Qwen3-235b 60 97,717

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 31,991 tokens
  • Maximum (highest mean): Qwen3-235b = 97,717 tokens
  • Delta: 65,726 (205.5%)

RecruitmentAssistant-H-A2A

Per-model total tokens

Model n Mean
GPT-5 60 32,672
GPT-4o-mini 60 101,936
DeepSeek-V3.1 60 65,048
DeepSeek-R1 60 79,028
Gemini-2.5 60 57,128
Gemini-2.5-NT 60 36,887
Qwen3-235b 60 73,259

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 32,672 tokens
  • Maximum (highest mean): GPT-4o-mini = 101,936 tokens
  • Delta: 69,264 (212.0%)

SQLAssistant-MCP

Per-model total tokens

Model n Mean
GPT-5 60 13,881
GPT-4o-mini 60 24,241
DeepSeek-V3.1 60 25,637
DeepSeek-R1 60 80,522
Gemini-2.5 60 19,110
Gemini-2.5-NT 60 15,014
Qwen3-235b 60 17,232

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 13,881 tokens
  • Maximum (highest mean): DeepSeek-R1 = 80,522 tokens
  • Delta: 66,641 (480.1%)

SQLAssistant-A2A

Per-model total tokens

Model n Mean
GPT-5 60 11,189
GPT-4o-mini 60 18,635
DeepSeek-V3.1 60 36,805
DeepSeek-R1 60 96,469
Gemini-2.5 60 32,531
Gemini-2.5-NT 60 25,782
Qwen3-235b 60 17,381

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 11,189 tokens
  • Maximum (highest mean): DeepSeek-R1 = 96,469 tokens
  • Delta: 85,280 (762.2%)

SQLAssistant-H-A2A

Per-model total tokens

Model n Mean
GPT-5 60 8,956
GPT-4o-mini 60 13,734
DeepSeek-V3.1 60 16,479
DeepSeek-R1 60 69,364
Gemini-2.5 60 24,448
Gemini-2.5-NT 60 18,476
Qwen3-235b 60 14,779

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): GPT-5 = 8,956 tokens
  • Maximum (highest mean): DeepSeek-R1 = 69,364 tokens
  • Delta: 60,408 (674.5%)

SocialMediaManager-MCP

Per-model total tokens

Model n Mean
GPT-5 60 38,940
GPT-4o-mini 60 108,089
DeepSeek-V3.1 60 95,721
DeepSeek-R1 60 109,146
Gemini-2.5 60 12,749
Gemini-2.5-NT 60 11,480
Qwen3-235b 60 46,557

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): Gemini-2.5-NT = 11,480 tokens
  • Maximum (highest mean): DeepSeek-R1 = 109,146 tokens
  • Delta: 97,666 (850.7%)

SocialMediaManager-A2A

Per-model total tokens

Model n Mean
GPT-5 60 40,570
GPT-4o-mini 60 97,814
DeepSeek-V3.1 60 87,367
DeepSeek-R1 60 124,960
Gemini-2.5 60 12,955
Gemini-2.5-NT 60 11,429
Qwen3-235b 60 55,866

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): Gemini-2.5-NT = 11,429 tokens
  • Maximum (highest mean): DeepSeek-R1 = 124,960 tokens
  • Delta: 113,531 (993.3%)

SocialMediaManager-H-A2A

Per-model total tokens

Model n Mean
GPT-5 60 16,796
GPT-4o-mini 60 43,322
DeepSeek-V3.1 60 57,449
DeepSeek-R1 60 98,225
Gemini-2.5 60 20,423
Gemini-2.5-NT 60 9,642
Qwen3-235b 60 29,440

Baseline vs maximum (Per-model total tokens)

  • Baseline (lowest mean): Gemini-2.5-NT = 9,642 tokens
  • Maximum (highest mean): DeepSeek-R1 = 98,225 tokens
  • Delta: 88,583 (918.7%)