· 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 2026-09-04Updated Sep 4, 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 with fallback)2 sources94.798.196.4
22gpt-5.5-xhigh90.690.6
33Claude Fable 5 (with fallback)2 sources84.296.290.2
4Claude Opus 5 (max)2 sources89.588.789.1
5gemini-3.7-flash-high86.886.8
6smaug-agentic84.984.9
7GPT-5.6 Sol (max)2 sources73.792.583.1
8qwen3.8-max83.083.0
9GPT-6 Astra (max)78.978.9
10Muse Spark 1.3 (xhigh)2 sources63.294.378.8

Coding Ability

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

#ModelArtificial Analysis AgenticLiveBench CodingAISOTA Score
1SOTAclaude-fable-5-1-max-effort98.198.1
22smaug-agentic96.296.2
33claude-fable-5-max-effort94.394.3
4claude-opus-5-max-effort92.592.5
5muse-spark-1.3-xhigh90.690.6
6kimi-k388.788.7
7glm-5.386.886.8
8qwen3.8-max84.984.9
9claude-sonnet-5-xhigh-effort83.083.0
10gpt-5.6-sol-max81.181.1

Value for Money

Intelligence per dollar, based on median input + output price.

#ModelAA IntelligenceOpenRouter PriceAISOTA Score
1SOTAGLM-5.3-Flash2 sources36.875.156.0
22Claude Opus 5 (max)2 sources89.510.349.9
33Claude Fable 5.1 (max with fallback)2 sources94.75.049.9
4GPT-5.6 Sol (max)2 sources73.721.647.6
5GPT-5.6 Luna (max)2 sources21.173.847.5
6Gemini 3.8 Flash (high)2 sources47.446.547.0
7Claude Fable 5 (with fallback)2 sources84.24.744.5
8Muse Spark 1.3 (xhigh)2 sources63.224.343.8
9Grok 4.6 (high)2 sources68.417.643.0
10GLM-5.3 (max)2 sources52.622.637.6

Model Usage

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

#ModelOpenRouter UsageAISOTA Score
1SOTAdeepseek-v4-flash917.01M99.8
22gpt-5-6-luna361.6M99.5
33glm-5-3-flash334.96M99.3
4gemini-2-5-flash-lite292.09M99.1
5gpt-oss-20b131.11M98.9
6gemini-3-1-flash-lite126.56M98.6
7text-embedding-3-small124.66M98.4
8gemini-2-5-flash123.6M98.2
9gpt-oss-120b106.15M97.9
10gpt-4o-mini106.01M97.7

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

2793 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

873 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. 4nscale/deepseek-ai/DeepSeek-R1-Distill-Llama-8B$0.03/M
  5. 5novita/qwen/qwen3-4b-fp8$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.