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AI model rankings

Benchmarks and reader votes answer different questions, so we keep them apart.

Your vote counts 1x. It rises to 2x after 7 days and 3x after 30.

ModelAccessAPI price per 1M tokensBenchLMBenchLeaderReader votes
Claude Opus 5.5AnthropicGenerally available$4.00 in, $20.00 out86.369.2
Gemini 4 CarbonGoogleSelected cyber defenders only$2.00 in, $10.00 out88.468.9
GPT-6 AstraOpenAIGenerally available$10.00 in, $50.00 out86.168.2
GPT-6.1 SolOpenAIGenerally available$2.00 in, $10.00 out85.367.2
Claude Fable 5.1AnthropicGenerally available$10.00 in, $50.00 out81.167.1
Claude Sonnet 5.5AnthropicGenerally available$2.00 in, $10.00 out83.866.8
Qwen 3.8 MaxAlibaba QwenGenerally available$4.00 in, $12.00 out84.266.4
DeepSeek V4.1 FlashDeepSeekGenerally available$0.04 in, $0.50 out83.566.1
Claude Fable 5AnthropicGenerally available$10.00 in, $50.00 out80.866
Gemini 4 ArgonGoogleGenerally available$2.00 in, $10.00 out82.365.9
Kimi K3.1 ProMoonshot AIGenerally available$2.00 in, $10.00 out8265.7
Claude Opus 5AnthropicGenerally available$5.00 in, $25.00 out79.765.4
GPT-6.1 TerraOpenAIGenerally available$1.00 in, $5.00 out80.565.2
Grok 4.7xAIGenerally available$2.00 in, $6.00 out81.665
DeepSeek R1DeepSeekOpen Weights / API$0.50 in, $2.15 out82.564.9
Mistral Large 4.0Mistral AIGenerally available$0.70 in, $2.10 out81.264.8
Llama 4 MaverickMetaOpen Weights / API$0.19 in, $0.65 out8164.5
DeepSeek V3DeepSeekOpen Weights / API$0.26 in, $1.03 out80.664.3
GPT-6 LunaOpenAIGenerally available$0.10 in, $0.50 out79.964
Claude Haiku 5.5AnthropicGenerally available$0.10 in, $0.50 out79.463.8
Gemini 3.8 FlashGoogleGenerally available$0.83 in, $4.12 out7963.5
Qwen 3.8 Omni FlashAlibaba QwenGenerally available$0.15 in, $0.47 out78.763.2
Gemini 2.5 ProGoogleGenerally available$1.25 in, $10.00 out78.563.1
Muse Spark 1.3MetaGenerally available$0.10 in, $0.20 out78.463
Command A+CohereEnterprise API$0.30 in, $1.50 out78.262.8
MiniMax M3.1 FlashMiniMaxGenerally available$0.07 in, $0.30 out77.962.5
GPT-5 OmniOpenAIGenerally available$1.25 in, $5.00 out77.862.4
Step-5 PreviewStepFunPublic Beta$1.00 in, $2.70 out77.562.2
Grok 4.6xAIGenerally available$2.00 in, $6.00 out77.362
Hunyuan 4 PreviewTencentPublic Beta$0.83 in, $2.50 out77.161.9
Qwen 2.5 Coder 32BAlibaba QwenOpen Weights / API$0.66 in, $1.00 out7761.8
GLM-5.3Z-AI (Zhipu)Generally available$0.07 in, $1.40 out76.861.6
Llama 4 ScoutMetaOpen Weights / API$0.10 in, $0.30 out76.561.3
Kimi K3Moonshot AIGenerally available$0.19 in, $15.00 out76.261
Mistral Medium 3.5Mistral AIGenerally available$1.50 in, $7.50 out7660.8

Run the race yourself

BenchLeader reports margins of about ±5 points on its top scores. Change the margin and see how often each model would come first.

Claude Opus 5.5 wins 0.0% of 20,000 simulated runs.

  • Claude Opus 5.50.0%
  • Gemini 4 Carbon0.0%
  • GPT-6 Astra0.0%
  • GPT-6.1 Sol0.0%
  • Claude Fable 5.10.0%
  • Claude Sonnet 5.50.0%
  • Qwen 3.8 Max0.0%
  • DeepSeek V4.1 Flash0.0%
  • Claude Fable 50.0%
  • Gemini 4 Argon0.0%
  • Kimi K3.1 Pro0.0%
  • Claude Opus 50.0%
  • GPT-6.1 Terra0.0%
  • Grok 4.70.0%
  • DeepSeek R10.0%
  • Mistral Large 4.00.0%
  • Llama 4 Maverick0.0%
  • DeepSeek V30.0%
  • GPT-6 Luna0.0%
  • Claude Haiku 5.50.0%
  • Gemini 3.8 Flash0.0%
  • Qwen 3.8 Omni Flash0.0%
  • Gemini 2.5 Pro0.0%
  • Muse Spark 1.30.0%
  • Command A+0.0%
  • MiniMax M3.1 Flash0.0%
  • GPT-5 Omni0.0%
  • Step-5 Preview0.0%
  • Grok 4.60.0%
  • Hunyuan 4 Preview0.0%
  • Qwen 2.5 Coder 32B0.0%
  • GLM-5.30.0%
  • Llama 4 Scout0.0%
  • Kimi K30.0%
  • Mistral Medium 3.50.0%
Simplified: each score is redrawn at random inside its margin, treated as a 95% range, with models independent.

See what a prompt costs

About 15 tokens. If you sent this a million times:

  • GPT-6.1 Terra$15
  • Claude Opus 5.5$60
Estimate for input only, before the model replies. Prices per million input tokens as listed above.

Where the scores come from

BenchLM, as of 29 October 2026. A weighted average of eight benchmark categories. Gemini 4 Carbon's score is marked estimated.

BenchLeader Index, as of 31 October 2026. Combines published benchmarks. Top scores carry margins of about ±5.

Each board uses its own scale, so don't compare a BenchLM score with a BenchLeader score. Paid placement never affects rankings or votes.