· State of the Art

Daily AI Decision Intelligence

Multi-source rankings blended into one score. See which model is truly State of the Art — today.

Data as of 2026-09-25Updated Sep 25, 11:00 AM

Overall Intelligence

Multi-source blend of general intelligence benchmarks into a single AISOTA score.

#ModelArtificial AnalysisLiveBenchAISOTA Score
1SOTAclaude-fable-5-1-max-effort—98.498.4
22claude-fable-5-max-effort—96.896.8
33gpt-6-astra-max—95.295.2
4muse-spark-1.3-xhigh—93.593.5
5claude-opus-5-5-xhigh-effort—91.991.9
6gpt-5.6-sol-max—90.390.3
7deepseek-v4.1-flash-max—88.788.7
8gpt-5.5-xhigh—87.187.1
9claude-opus-5-max-effort—85.585.5
10gemini-3.7-flash-high—83.983.9

Coding Ability

Multi-source blend of coding benchmarks into a single AISOTA score.

#ModelArtificial Analysis AgenticLiveBench CodingAISOTA Score
1SOTAdeepseek-v4.1-flash-max—98.498.4
22claude-opus-5-5-xhigh-effort—96.896.8
33claude-fable-5-1-max-effort—95.295.2
4smaug-agentic—93.593.5
5claude-fable-5-max-effort—91.991.9
6claude-opus-5-max-effort—90.390.3
7muse-spark-1.3-xhigh—88.788.7
8kimi-k3—87.187.1
9glm-5.3—85.585.5
10qwen3.8-max—83.983.9

Model Usage

API request volume per model over the last 7 days, sourced from OpenRouter public rankings.

#ModelOpenRouter UsageAISOTA Score
1SOTAdeepseek-v4-flash916.82M99.8
22jev-1-13436.99M99.6
33glm-5-3-flash398.07M99.4
4gpt-5-6-luna316.98M99.2
5deepseek-v4-1-flash306.29M98.9
6gemini-2-5-flash-lite248.19M98.7
7text-embedding-3-small158.1M98.5
8gemini-3-1-flash-lite145.7M98.3
9gpt-oss-120b132.33M98.1
10gemini-2-5-flash125.13M97.9

AI Tools Leaderboard

Ranked lists of the best AI tools across the most popular categories, with editorial notes on each tool.

AI Compute & API Pricing

Live AI compute prices: model API inference costs, cloud GPU benchmark pricing, and best value models per quality point. Updated daily from public sources.

API Inference Pricing

3366 entries

  1. 1SOTAdeepinfra/meta-llama/Llama-3.2-3B-Instruct$0.02/M
  2. 2lambda_ai/llama3.2-3b-instruct$0.02/M
  3. 3nscale/Qwen/Qwen2.5-Coder-3B-Instruct$0.02/M
  4. 4nscale/Qwen/Qwen2.5-Coder-7B-Instruct$0.02/M
  5. 5nebius/Qwen/Qwen2.5-Coder-7B$0.02/M

Chinese AI Models Pricing

1046 entries

  1. 1SOTAnscale/Qwen/Qwen2.5-Coder-3B-Instruct$0.02/M
  2. 2nscale/Qwen/Qwen2.5-Coder-7B-Instruct$0.02/M
  3. 3nebius/Qwen/Qwen2.5-Coder-7B$0.02/M
  4. 4together_ai/Qwen/Qwen2-1.5B-Instruct$0.02/M
  5. 5nscale/deepseek-ai/DeepSeek-R1-Distill-Llama-8B$0.03/M

Cloud GPU Benchmark Pricing

18 entries

  1. 1SOTAStandard_NV4as_v4$0.054/h
  2. 2Standard_NC36ds_xl_RTXPRO6000BSE_v6$0.333/h
  3. 3Standard_NV24s_v3$0.584/h
  4. 4Standard_NV16as_v4$1.901/h
  5. 5Standard_NC320lds_xl_RTXPRO6000BSE_v6$2.643/h

How AISOTA scoring works

Each model is scored against the sources on that board. Within each source, models are ranked and converted to a 0–100 percentile. A model's AISOTA score is the weighted average of its percentile ranks across sources. SOTA marks today's #1.

Data is collected automatically from public APIs each day. Missing cells mean the source does not list that model.