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What is the smartest AI model in October 2026?

On the Artificial Analysis Intelligence Index, Claude Opus 5.5 scores highest of the models we track at 58, followed by Claude Sonnet 5.5 (56) and Claude Fable 5.1 (53). Claude Opus 5.5 costs $0.11 per average coding-agent request on our measured traffic.

Source: Artificial Analysis (artificialanalysis.ai). Fetched October 13, 2026. Cost per request: Standard Compute gateway data, 79,301 coding-agent requests, Sep 13 to Oct 12, 2026. How we compute this

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36 current models ranked by Artificial Analysis Intelligence Index

ModelIntelligence IndexArtificial AnalysisTerminal-Bench 4.0Artificial AnalysisCost per requestour data
1. Claude Opus 5.5max effort5859.6%$0.11
2. Claude Sonnet 5.5max effort5663.6%$0.053
3. Claude Fable 5.1max effort5352.0%$0.24
4. GPT-6 Astramax effort5359.1%$0.41
5. Gemini 4 Argonhigh effort5357.1%$0.11
6. Muse Wondermax effort5252.0%$0.11
7. GPT-6.1 Solmax effort5256.1%$0.067
8. Grok 4.7xhigh effort4625.8%$0.13
9. GLM 5.3max effort4541.9%$0.057
10. Step 5 Preview4433.3%$0.025
11. Claude Haiku 5.5max effort4332.8%$0.013
12. GPT-5.6 Terramax effort4235.4%$0.084
13. Gemini 3.8 Flashhigh effort4119.7%$0.048
14. DeepSeek V4.1 Flashmax effort3926.8%$0.0067
15. GPT-5.4xhigh effort39*n/a$0.10
16. Mistral Large 4Mistral Large 4 Preview3826.8%$0.042
17. GPT-6 Lunamax effort3812.6%$0.0041
18. DeepSeek V4 ProDeepSeek V4 Pro 0813, max effort3614.1%$0.030
19. GPT-5.3-Codexxhigh effort33*n/a$0.055
20. Gemini 3.1 ProGemini 3.1 Pro Preview304.0%$0.095
21. Qwen3.7 Max291.5%$0.063
22. MiniMax M3292.0%$0.013
23. Kimi K2.6reasoning270.5%$0.024
24. Kimi K2.7 Code261.0%$0.027
25. Grok 4.20Grok 4.20 0309 v2, reasoning26*n/a$0.068
26. Qwen3.7 Plus251.0%$0.014
27. GPT-5.4 Minixhigh effort242.0%$0.023
28. GLM 4.7reasoning22*n/a$0.017
29. DeepSeek V3.2reasoning21*n/a$0.013
30. MiniMax M2.121*n/a$0.0065
31. GLM 4.6reasoning19*n/a$0.015
32. Gemini 3.1 Flash Lite160.5%$0.0082
33. DeepSeek R1 (0528)may '2513*n/a$0.031
34. Qwen3 235B A22BQwen3 235B A22B 2507 Instruct12*n/a$0.0096
35. Llama 4 Maverick10*0.0%$0.0095
36. Devstral 290.0%$0.010

Source: Artificial Analysis (artificialanalysis.ai). Each model is measured as the variant named under it. Cost per request is ours: every one of 79,301 real coding-agent requests priced at list rates (OpenRouter's listed price for some older and open models). Methodology

The Artificial Analysis chart

Artificial Analysis Intelligence Index bar chart with Claude Opus 5.5 (Max, Default Fallback) highlighted, from artificialanalysis.ai
Artificial Analysis Intelligence Index v4.3.2, Claude Opus 5.5 (Max, Default Fallback) highlighted, downloaded October 13, 2026. Source: Artificial Analysis (artificialanalysis.ai)

Older versions

ModelIntelligence IndexArtificial AnalysisTerminal-Bench 4.0Artificial AnalysisCost per requestour data
Claude Fable 5superseded by Claude Fable 5.15042.4%$0.32
GPT-6 Solsuperseded by GPT-6.1 Sol4843.9%$0.083
GPT-5.6 Solsuperseded by GPT-6.1 Sol4739.9%$0.17
Claude Opus 4.8superseded by Claude Opus 5.54221.7%$0.16
GPT-5.5superseded by GPT-6.1 Sol3814.6%$0.21
GPT-5.6 Lunasuperseded by GPT-6 Luna3711.6%$0.0084
GLM 5.2superseded by GLM 5.3341.0%$0.057
Gemini 3.5 Flashsuperseded by Gemini 3.8 Flash336.6%$0.049
Claude Sonnet 4.6superseded by Claude Sonnet 5.5303.0%$0.097
Grok 4.3superseded by Grok 4.7250.0%$0.068
Claude Haiku 4.5superseded by Claude Haiku 5.5170.0%$0.022
Mistral Large 3superseded by Mistral Large 490.0%$0.012

Source: Artificial Analysis (artificialanalysis.ai). Cost per request is ours. Methodology

What to watch for

Artificial Analysis measures each model at the reasoning effort named in its variant, usually the highest. At lower effort the same model scores lower, answers sooner and costs less. Scores marked * are Artificial Analysis estimates pending its own full evaluation.

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FAQ

What does the Artificial Analysis Intelligence Index measure?
Version 4.3.2 combines 10 evaluations that Artificial Analysis runs itself: AA-Briefcase, GDPval-AA, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience and AA-LCR. It is a general index, so a model's rank on it can differ from its rank on coding alone.
Is the smartest model the best choice for a coding agent?
Not always. Coding agents resend their whole context on every step, so cost per request decides the bill. Claude Sonnet 5.5 is within 10 points of the top score and costs $0.053 per request on our traffic, against $0.11 for Claude Opus 5.5. Many teams run a strong model for planning and hard steps and a cheaper one for routine edits.
Where do the cost figures come from?
They are ours: 79,301 real coding-agent requests (Sep 13 to Oct 12, 2026) priced request by request at each vendor's list rates, including cache reads and long-prompt surcharges.

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Current frontier models Claude Opus 5.5 · Claude Sonnet 5.5

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