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39
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2
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float64
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float64
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context_window
int64
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bool
2 classes
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2023-05-28 00:00:00
2026-03-27 00:00:00
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4 values
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null
3.2
78
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int64
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bodybuilder
Body Builder (beta)
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Auto Router
openrouter
openrouter
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lfm2-8b-a1b
LFM2-8B-A1B
liquid
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text
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lfm-2-2-6b
LFM2-2.6B
liquid
liquid
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2025-10-20
text
null
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granite-4-0-h-micro
Granite 4.0 Micro
ibm-granite
ibm-granite
0.017
0.11
131,000
true
2025-10-20
text
null
0
null
mistral-nemo
Mistral Nemo
Mistral AI
mistral
0.02
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131,072
true
2024-07-19
text
null
5
null
llama-3-1-8b-instruct
Llama 3.1 8B Instruct
Meta
meta
0.02
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16,384
true
2024-07-23
text
null
8
null
gemma-3n-e4b-it
Gemma 3n 4B
Google DeepMind
google
0.02
0.04
32,768
true
2025-05-20
text
null
0
null
llama-guard-3-8b
Llama Guard 3 8B
Meta
meta
0.02
0.06
131,072
true
2025-02-12
text
null
0
null
llama-3-2-1b-instruct
Llama 3.2 1B Instruct
Meta
meta
0.027
0.2
60,000
true
2024-09-25
text
null
0
null
qwen2-5-coder-7b-instruct
Qwen2.5 Coder 7B Instruct
Alibaba Qwen
alibaba
0.03
0.09
32,768
true
2025-04-15
text
null
5
null
llama-3-8b-instruct
Llama 3 8B Instruct
Meta
meta
0.03
0.04
8,192
true
2024-04-18
text
null
9
null
gemma-2-9b-it
Gemma 2 9B
Google DeepMind
google
0.03
0.09
8,192
true
2024-06-28
text
null
6
null
gpt-oss-20b
gpt-oss-20b
OpenAI
openai
0.03
0.11
131,072
true
2025-08-05
text
null
12
null
lfm-2-24b-a2b
LFM2-24B-A2B
liquid
liquid
0.03
0.12
32,768
true
2026-02-25
text
null
0
null
mistral-small-3-1-24b-instruct
Mistral Small 3.1 24B
Mistral AI
mistral
0.03
0.11
131,072
true
2025-03-17
multimodal
null
0
null
qwen-turbo
Qwen-Turbo
Alibaba Qwen
alibaba
0.0325
0.13
131,072
true
2025-02-01
text
null
0
null
nova-micro-v1
Nova Micro 1.0
Amazon
amazon
0.035
0.14
128,000
false
2024-12-05
text
null
0
null
command-r7b-12-2024
Command R7B (12-2024)
Cohere
cohere
0.0375
0.15
128,000
false
2024-12-14
text
null
0
null
gpt-oss-120b
gpt-oss-120b
OpenAI
openai
0.039
0.19
131,072
true
2025-08-05
text
null
12
null
gemma-3-4b-it
Gemma 3 4B
Google DeepMind
google
0.04
0.08
131,072
true
2025-03-13
multimodal
null
7
null
gemma-3-12b-it
Gemma 3 12B
Google DeepMind
google
0.04
0.13
131,072
true
2025-03-13
multimodal
null
7
null
nemotron-nano-9b-v2
Nemotron Nano 9B V2
NVIDIA
nvidia
0.04
0.16
131,072
true
2025-09-05
text
null
0
null
qwen-2-5-7b-instruct
Qwen2.5 7B Instruct
Alibaba Qwen
alibaba
0.04
0.1
32,768
true
2024-10-16
text
null
0
null
l3-lunaris-8b
Llama 3 8B Lunaris
sao10k
sao10k
0.04
0.05
8,192
true
2024-08-13
text
null
0
null
trinity-mini
Trinity Mini
arcee-ai
arcee-ai
0.045
0.15
131,072
true
2025-12-01
text
null
0
null
llama-3-2-11b-vision-instruct
Llama 3.2 11B Vision Instruct
Meta
meta
0.049
0.049
131,072
true
2024-09-25
multimodal
null
0
null
gpt-5-nano
GPT-5 Nano
OpenAI
openai
0.05
0.4
400,000
false
2025-08-07
multimodal
null
12
null
qwen3-5-9b
Qwen3.5-9B
Alibaba Qwen
alibaba
0.05
0.15
256,000
true
2026-03-10
multimodal
null
0
null
nemotron-3-nano-30b-a3b
Nemotron 3 Nano 30B A3B
NVIDIA
nvidia
0.05
0.2
262,144
true
2025-12-14
text
null
0
null
qwen3-8b
Qwen3 8B
Alibaba Qwen
alibaba
0.05
0.4
40,960
true
2025-04-28
text
null
0
null
olmo-2-0325-32b-instruct
Olmo 2 32B Instruct
allenai
allenai
0.05
0.2
128,000
true
2025-03-14
text
null
0
null
mistral-small-24b-instruct-2501
Mistral Small 3
Mistral AI
mistral
0.05
0.08
32,768
true
2025-01-30
text
null
0
null
llama-3-2-3b-instruct
Llama 3.2 3B Instruct
Meta
meta
0.051
0.34
80,000
true
2024-09-25
text
null
0
null
glm-4-7-flash
GLM 4.7 Flash
z-ai
z-ai
0.06
0.4
202,752
true
2026-01-19
text
null
0
null
qwen3-14b
Qwen3 14B
Alibaba Qwen
alibaba
0.06
0.24
40,960
true
2025-04-28
text
null
0
null
nova-lite-v1
Nova Lite 1.0
Amazon
amazon
0.06
0.24
300,000
false
2024-12-05
multimodal
null
0
null
mythomax-l2-13b
MythoMax 13B
gryphe
gryphe
0.06
0.06
4,096
true
2023-07-02
text
null
0
null
phi-4
Phi 4
Microsoft
microsoft
0.065
0.14
16,384
true
2025-01-10
text
null
6
null
qwen3-5-flash-02-23
Qwen3.5-Flash
Alibaba Qwen
alibaba
0.065
0.26
1,000,000
true
2026-02-25
multimodal
null
0
null
ernie-4-5-21b-a3b-thinking
ERNIE 4.5 21B A3B Thinking
baidu
baidu
0.07
0.28
131,072
true
2025-10-09
text
null
0
null
ernie-4-5-21b-a3b
ERNIE 4.5 21B A3B
baidu
baidu
0.07
0.28
120,000
true
2025-08-12
text
null
0
null
qwen3-coder-30b-a3b-instruct
Qwen3 Coder 30B A3B Instruct
Alibaba Qwen
alibaba
0.07
0.27
160,000
true
2025-07-31
text
null
0
null
qwen3-235b-a22b-2507
Qwen3 235B A22B Instruct 2507
Alibaba Qwen
alibaba
0.071
0.1
262,144
true
2025-07-21
text
null
0
null
seed-1-6-flash
Seed 1.6 Flash
bytedance-seed
bytedance-seed
0.075
0.3
262,144
false
2025-12-23
multimodal
null
0
null
gpt-oss-safeguard-20b
gpt-oss-safeguard-20b
OpenAI
openai
0.075
0.3
131,072
true
2025-10-29
text
null
0
null
mistral-small-3-2-24b-instruct
Mistral Small 3.2 24B
Mistral AI
mistral
0.075
0.2
128,000
true
2025-06-20
multimodal
null
0
null
gemini-2-0-flash-lite-001
Gemini 2.0 Flash Lite
Google DeepMind
google
0.075
0.3
1,048,576
false
2025-02-25
multimodal
null
0
null
gemma-3-27b-it
Gemma 3 27B
Google DeepMind
google
0.08
0.16
131,072
true
2025-03-12
multimodal
null
7
null
llama-4-scout
Llama 4 Scout
Meta
meta
0.08
0.3
327,680
true
2025-04-05
multimodal
null
8
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qwen3-vl-8b-instruct
Qwen3 VL 8B Instruct
Alibaba Qwen
alibaba
0.08
0.5
131,072
true
2025-10-14
multimodal
null
0
null
qwen3-30b-a3b-thinking-2507
Qwen3 30B A3B Thinking 2507
Alibaba Qwen
alibaba
0.08
0.4
131,072
true
2025-08-28
text
null
0
null
qwen3-30b-a3b
Qwen3 30B A3B
Alibaba Qwen
alibaba
0.08
0.28
40,960
true
2025-04-28
text
null
0
null
qwen3-32b
Qwen3 32B
Alibaba Qwen
alibaba
0.08
0.24
40,960
true
2025-04-28
text
null
0
null
mimo-v2-flash
MiMo-V2-Flash
xiaomi
xiaomi
0.09
0.29
262,144
true
2025-12-14
text
null
0
null
tongyi-deepresearch-30b-a3b
Tongyi DeepResearch 30B A3B
alibaba
alibaba
0.09
0.45
131,072
true
2025-09-18
text
null
0
null
qwen3-next-80b-a3b-instruct
Qwen3 Next 80B A3B Instruct
Alibaba Qwen
alibaba
0.09
1.1
262,144
true
2025-09-11
text
null
0
null
qwen3-30b-a3b-instruct-2507
Qwen3 30B A3B Instruct 2507
Alibaba Qwen
alibaba
0.09
0.3
262,144
true
2025-07-29
text
null
0
null
qwen3-next-80b-a3b-thinking
Qwen3 Next 80B A3B Thinking
Alibaba Qwen
alibaba
0.0975
0.78
131,072
true
2025-09-11
text
null
0
null
gemini-2-0-flash-001
Gemini 2.0 Flash
Google DeepMind
google
0.1
0.4
1,048,576
false
2025-02-05
multimodal
null
4
null
llama-3-3-70b-instruct
Llama 3.3 70B Instruct
Meta
meta
0.1
0.32
131,072
true
2024-12-06
text
null
8
null
gpt-4-1-nano
GPT-4.1 Nano
OpenAI
openai
0.1
0.4
1,047,576
false
2025-04-14
multimodal
null
9
null
reka-edge
Reka Edge
reka
reka
0.1
0.1
16,384
true
2026-03-20
multimodal
null
0
null
nemotron-3-super-120b-a12b
Nemotron 3 Super
NVIDIA
nvidia
0.1
0.5
262,144
true
2026-03-11
text
null
0
null
seed-2-0-mini
Seed-2.0-Mini
bytedance-seed
bytedance-seed
0.1
0.4
262,144
false
2026-02-26
multimodal
null
0
null
step-3-5-flash
Step 3.5 Flash
stepfun
stepfun
0.1
0.3
262,144
true
2026-01-29
text
null
0
null
mistral-small-creative
Mistral Small Creative
Mistral AI
mistral
0.1
0.3
32,768
true
2025-12-16
text
null
0
null
ministral-3b-2512
Ministral 3 3B 2512
Mistral AI
mistral
0.1
0.1
131,072
true
2025-12-02
multimodal
null
0
null
voxtral-small-24b-2507
Voxtral Small 24B 2507
Mistral AI
mistral
0.1
0.3
32,000
true
2025-10-30
multimodal
null
0
null
llama-3-3-nemotron-super-49b-v1-5
Llama 3.3 Nemotron Super 49B V1.5
NVIDIA
nvidia
0.1
0.4
131,072
true
2025-10-10
text
null
0
null
gemini-2-5-flash-lite-preview-09-2025
Gemini 2.5 Flash Lite Preview 09-2025
Google DeepMind
google
0.1
0.4
1,048,576
false
2025-09-25
multimodal
null
0
null
glm-4-32b
GLM 4 32B
z-ai
z-ai
0.1
0.1
128,000
false
2025-07-24
text
null
0
null
ui-tars-1-5-7b
UI-TARS 7B
bytedance
bytedance
0.1
0.2
128,000
true
2025-07-22
multimodal
null
0
null
gemini-2-5-flash-lite
Gemini 2.5 Flash Lite
Google DeepMind
google
0.1
0.4
1,048,576
false
2025-07-22
multimodal
null
0
null
devstral-small
Devstral Small 1.1
Mistral AI
mistral
0.1
0.3
131,072
true
2025-07-10
text
null
0
null
qwen3-vl-32b-instruct
Qwen3 VL 32B Instruct
Alibaba Qwen
alibaba
0.104
0.416
131,072
true
2025-10-23
multimodal
null
0
null
mistral-7b-instruct-v0-1
Mistral 7B Instruct v0.1
Mistral AI
mistral
0.11
0.19
2,824
true
2023-09-28
text
null
0
null
qwen3-vl-8b-thinking
Qwen3 VL 8B Thinking
Alibaba Qwen
alibaba
0.117
1.365
131,072
true
2025-10-14
multimodal
null
0
null
qwen-2-5-72b-instruct
Qwen2.5 72B Instruct
Alibaba Qwen
alibaba
0.12
0.39
32,768
true
2024-09-19
text
null
15
null
qwen3-coder-next
Qwen3 Coder Next
Alibaba Qwen
alibaba
0.12
0.75
262,144
true
2026-02-04
text
null
0
null
qwen3-vl-30b-a3b-thinking
Qwen3 VL 30B A3B Thinking
Alibaba Qwen
alibaba
0.13
1.56
131,072
true
2025-10-06
multimodal
null
0
null
qwen3-vl-30b-a3b-instruct
Qwen3 VL 30B A3B Instruct
Alibaba Qwen
alibaba
0.13
0.52
131,072
true
2025-10-06
multimodal
null
0
null
hermes-4-70b
Hermes 4 70B
nousresearch
nousresearch
0.13
0.4
131,072
true
2025-08-26
text
null
0
null
glm-4-5-air
GLM 4.5 Air
z-ai
z-ai
0.13
0.85
131,072
true
2025-07-25
text
null
0
null
deepseek-v3-1-nex-n1
DeepSeek V3.1 Nex N1
nex-agi
nex-agi
0.135
0.5
131,072
true
2025-12-08
text
null
0
null
qwen-vl-plus
Qwen VL Plus
Alibaba Qwen
alibaba
0.1365
0.4095
131,072
true
2025-02-05
multimodal
null
0
null
ernie-4-5-vl-28b-a3b
ERNIE 4.5 VL 28B A3B
baidu
baidu
0.14
0.56
30,000
true
2025-08-12
multimodal
null
0
null
hunyuan-a13b-instruct
Hunyuan A13B Instruct
tencent
tencent
0.14
0.57
131,072
true
2025-07-08
text
null
0
null
hermes-2-pro-llama-3-8b
Hermes 2 Pro - Llama-3 8B
nousresearch
nousresearch
0.14
0.14
8,192
true
2024-05-27
text
null
0
null
qwen3-235b-a22b-thinking-2507
Qwen3 235B A22B Thinking 2507
Alibaba Qwen
alibaba
0.1495
1.495
131,072
true
2025-07-25
text
null
9
null
deepseek-chat-v3-1
DeepSeek V3.1
DeepSeek
deepseek
0.15
0.75
32,768
true
2025-08-21
text
null
4
null
gpt-4o-mini-2024-07-18
GPT-4o-mini (2024-07-18)
OpenAI
openai
0.15
0.6
128,000
false
2024-07-18
multimodal
null
14
null
gpt-4o-mini
GPT-4o-mini
OpenAI
openai
0.15
0.6
128,000
false
2024-07-18
multimodal
null
14
null
llama-4-maverick
Llama 4 Maverick
Meta
meta
0.15
0.6
1,048,576
true
2025-04-05
multimodal
null
14
null
mistral-small-2603
Mistral Small 4
Mistral AI
mistral
0.15
0.6
262,144
true
2026-03-16
multimodal
null
0
null
solar-pro-3
Solar Pro 3
upstage
upstage
0.15
0.6
128,000
false
2026-01-27
text
null
0
null
olmo-3-1-32b-think
Olmo 3.1 32B Think
allenai
allenai
0.15
0.5
65,536
true
2025-12-16
text
null
0
null
rnj-1-instruct
Rnj 1 Instruct
essentialai
essentialai
0.15
0.15
32,768
true
2025-12-07
text
null
0
null
ministral-8b-2512
Ministral 3 8B 2512
Mistral AI
mistral
0.15
0.15
262,144
true
2025-12-02
multimodal
null
0
null
olmo-3-32b-think
Olmo 3 32B Think
allenai
allenai
0.15
0.5
65,536
true
2025-11-21
text
null
0
null
End of preview. Expand in Data Studio

BenchGecko AI Model Pricing 2026

Current pricing data for 413 AI models across 57 providers, with benchmark performance scores for cost-efficiency analysis. Sourced from BenchGecko.

Why This Dataset

Choosing an AI model is a price-performance tradeoff. This dataset enables:

  • Cost-efficiency rankings (score per dollar)
  • Provider pricing comparisons
  • Open source vs proprietary cost analysis
  • Budget optimization for production deployments

Dataset Summary

Metric Value
Total models 413
Models with pricing 344
Open source models 235
Providers 57
Price range (input) $0.01 - $150 per Mtok

Columns

Column Type Description
model_slug string Unique identifier
model_name string Display name
provider string Company (OpenAI, Anthropic, Google, etc.)
provider_slug string Provider identifier
input_price_per_mtok float Input cost in USD per million tokens
output_price_per_mtok float Output cost in USD per million tokens
context_window int Maximum context length in tokens
is_open_source bool Whether weights are publicly available
release_date date Release date
model_type string text, multimodal, etc.
avg_benchmark_score float Average across all benchmarks (0-100)
num_benchmarks_tested int How many benchmarks this model was tested on
price_per_score_point float Input price / avg score (lower = more efficient)

Usage

import pandas as pd

df = pd.read_csv("hf://datasets/DropTheHQ/benchgecko-ai-pricing/pricing.csv")

# Most cost-efficient models
efficient = df[df["input_price_per_mtok"].notna() & (df["input_price_per_mtok"] > 0)]
efficient = efficient.sort_values("price_per_score_point")
print(efficient[["model_name", "provider", "avg_benchmark_score", "input_price_per_mtok", "price_per_score_point"]].head(15))

# Cheapest models with score > 70
good_cheap = df[(df["avg_benchmark_score"] > 70) & (df["input_price_per_mtok"] > 0)]
print(good_cheap.nsmallest(10, "input_price_per_mtok")[["model_name", "provider", "avg_benchmark_score", "input_price_per_mtok"]])

# Average pricing by provider
by_provider = df[df["input_price_per_mtok"].notna()].groupby("provider").agg(
    models=("model_name", "count"),
    avg_input_price=("input_price_per_mtok", "mean"),
    avg_score=("avg_benchmark_score", "mean")
).round(2).sort_values("avg_input_price")
print(by_provider.head(15))

Source

Data from BenchGecko -- an independent AI tracking platform. Explore the full pricing calculator at benchgecko.ai/pricing.

License

CC BY 4.0

Citation

@dataset{benchgecko_pricing_2026,
  title={BenchGecko AI Model Pricing 2026},
  author={BenchGecko},
  year={2026},
  url={https://benchgecko.ai},
  publisher={Hugging Face},
  license={CC BY 4.0}
}
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