Benchmark Explorer

Explore how models perform on various benchmarks

Benchmarks

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Blended Price (USD/1M Tokens)

Calculates a weighted average price per million tokens, assuming a 3:1 ratio of input to output tokens, using the formula: (3 * Input Price + Output Price) / 4.
Source:

Model Performance

#1
Claude-3-Opus
100.0%
#2
Claude-4.0-Opus-Thinking
100.0%
#3
Claude-4.0-Opus
100.0%
#4
Claude-4.1-Opus
100.0%
#5
Claude-4.1-Opus-Thinking
100.0%
#6
OpenAI-O1-1217
87.5%
#7
GPT-4o-0513
25.0%
#8
Claude-4.0-Sonnet-Thinking
20.0%
#9
Claude-3-Sonnet
20.0%
#10
Claude-4.0-Sonnet
20.0%
#11
Claude-3.7-Sonnet-Thinking
20.0%
#12
Grok-3-Beta
20.0%
#13
Cohere-Command-R-Plus
20.0%
#14
Claude-3.5-Sonnet-1022
20.0%
#15
Mistral-Large
20.0%
#16
Grok-4
20.0%
#17
Grok-4-Thinking
20.0%
#18
Claude-3.7-Sonnet
20.0%
#19
Cohere-Command-A
14.6%
#20
Llama-3.1-405B
12.5%
#21
GPT-4.1
11.7%
#22
OpenAI-O3-high
11.7%
#23
OpenAI-O3-medium
11.7%
#24
GPT-5-Thinking
11.5%
#25
Gemini-2.5-Pro-0325
11.5%
#26
Gemini-2.5-Pro-0605
11.5%
#27
Gemini-2.5-Pro-Thinking
11.5%
#28
GPT-5
11.5%
#29
Mistral-Large-2
10.0%
#30
Magistral-Medium-3.1
9.2%
#31
Qwen-3-Thinking
8.8%
#32
Qwen-3-Max-Preview
8.0%
#33
OpenAI-O3-mini-high
6.4%
#34
OpenAI-O4-mini-medium
6.4%
#35
OpenAI-O4-mini-high
6.4%
#36
OpenAI-O3-mini-medium
6.4%
#37
OpenAI-O1-mini
6.4%
#38
Claude-3.5-Haiku
5.3%
#39
Qwen-3
4.1%
#40
Kimi-K2-Instruct
3.6%
#41
DeepSeek-R1
3.2%
#42
Gemini-2.5-Flash-Thinking
2.8%
#43
Gemini-2.5-Flash
2.8%
#44
Mistral-Medium-3.1
2.7%
#45
GPT-3.5-Turbo
2.5%
#46
GPT-5-mini-Thinking
2.3%
#47
GPT-5-mini
2.3%
#48
Llama-3.3-70B
2.0%
#49
DeepSeek-V3
1.6%
#50
DeepSeek-V3-0324
1.6%
#51
Llama-4-Maverick-17B
1.3%
#52
Grok-3-Mini-Beta
1.2%
#53
GPT-4-mini
0.9%
#54
GPT-OSS-120B
0.9%
#55
Phi-4
0.7%
#56
Gemini-2.0-Flash
0.6%
#57
GPT-5-nano
0.5%
#58
GPT-5-nano-Thinking
0.5%
#59
Llama-2-7B
0.3%
#60
Gemini-2.0-Pro-0121
0.0%
#61
Gemini-2.0-Flash-Thinking-0121
0.0%
#62
Gemini-2.0-Flash-Thinking
0.0%
#63
Gemini-1.5-Pro
0.0%
#64
GPT-4.5
0.0%
#65
Llama-2-13B
0.0%
#66
Grok-3-Think
0.0%
#67
Llama-2-70B
0.0%