Best AI Models 2026
The definitive ranking of the top AI models in 2026. Our composite scoring system evaluates 470+ models across performance benchmarks, pricing, context window, capabilities, and recency. Rankings update hourly with live data.
Top 10 AI Models Overall
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...
Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...
Best in Category
Our top picks across different use cases and requirements for 2026.
Anthropic
OpenAI
Anthropic
Anthropic
Full Top 30 Rankings
Top 30 AI Models by Composite Score
| # | Model | Score |
|---|---|---|
| 1 | Claude Fable 5.1Anthropic | 96 |
| 2 | Claude Fable 5.1 (batch)Anthropic | 96 |
| 3 | Claude Fable 5Anthropic | 96 |
| 4 | Claude Fable 5 (batch)Anthropic | 96 |
| 5 | Claude Opus 5.5Anthropic | 95 |
| 6 | Claude Opus 5Anthropic | 95 |
| 7 | Claude Opus 4.8Anthropic | 95 |
| 8 | Claude Opus 4.7Anthropic | 95 |
| 9 | GPT-5.5 ProOpenAI | 93 |
| 10 | GPT-5.5 Pro (batch)OpenAI | 93 |
| 11 | GPT-5.5OpenAI | 93 |
| 12 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 92 |
| 13 | Gemini 3.1 Pro PreviewGoogle | 92 |
| 14 | Gemini 3.1 Pro Preview (batch)Google | 92 |
| 15 | GPT-5.4 ProOpenAI | 92 |
| 16 | GPT-5.4 Pro (batch)OpenAI | 92 |
| 17 | GPT-5.4OpenAI | 92 |
| 18 | GPT-5.3-CodexOpenAI | 91 |
| 19 | GPT-5.2-CodexOpenAI | 91 |
| 20 | GPT-5.2 ChatOpenAI | 91 |
| 21 | GPT-5.2 ProOpenAI | 91 |
| 22 | GPT-5.2 Pro (batch)OpenAI | 91 |
| 23 | GPT-5.2OpenAI | 91 |
| 24 | Claude Opus 4.6Anthropic | 90 |
| 25 | GPT-5.6 Luna ProOpenAI | 89 |
| 26 | GPT-5.6 Luna Pro (batch)OpenAI | 89 |
| 27 | GPT-5.6 LunaOpenAI | 89 |
| 28 | GPT-5.6 Luna (batch)OpenAI | 89 |
| 29 | GPT-5.6 Terra ProOpenAI | 89 |
| 30 | GPT-5.6 Terra Pro (batch)OpenAI | 89 |
New AI Models Released in 2026
288 models have been released in 2026 so far. Here are the latest arrivals.
2026 Model Releases
| Model | Score |
|---|---|
| LFM3-1.7BLiquid AI | — |
| LFM3-1.7B (free)Liquid AI | — |
| Gemini Omni 1.2 FlashGoogle | — |
| Gemini Omni 1.1 FlashGoogle | — |
| Ripple 65B Previewricursiveai | — |
| Hy4Tencent | — |
| Crouton Alphastealth | — |
| GLM 5.3 FlashX LegalZhipu AI | — |
| Particle-1particle-ai | — |
| GPT-6.1 Terra ProOpenAI | — |
| GPT-6.1 Terra Pro (batch)OpenAI | — |
| GPT-6.1 TerraOpenAI | — |
| GPT-6.1 Terra (batch)OpenAI | — |
| Kimi K3.1 ProMoonshot AI | — |
| Flint (free)recursive | — |
| MiniMax M3.1 FlashMiniMax | — |
| DeepSeek V4.1 Flash 1017DeepSeek | — |
| Glimpseelorian | — |
| Xing4.0 29B A4B (free)xingchen-agi | — |
| Beam 1.0 501B A23Breflection | — |
How We Rank AI Models
Composite Score (0-100)
Every model receives a score from 0 to 100, driven primarily by benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%).
Live Data Pipeline
Rankings update hourly from live API data. We track pricing changes, new model releases, and capability updates across all major providers. No stale benchmarks or manual curation.
Capability Assessment
We evaluate 7 core capabilities: vision, function calling, streaming, JSON mode, reasoning, web search, and image output. Models that support more capabilities score higher on versatility.
Pricing & Value
Price is not the only factor. We balance cost against capability to surface the best value at every price point -- from free open-source models to premium frontier models.
Provider Overview
Which AI providers dominate the top 30 in 2026.
Providers with Models in Top 30
| Provider | In Top 30 |
|---|---|
| OpenAI | 18 |
| Anthropic | 9 |
| 3 |
Explore More Rankings
Dive deeper into specific categories, compare models head-to-head, or find the right model for your use case.
The best AI model depends on your use case. For coding, models with strong SWE-bench scores lead. For general reasoning, high Arena Elo models excel. For budget-friendly options, open-source models offer excellent performance at no cost. Our leaderboard ranks all 290+ models across multiple dimensions.
We use a composite scoring system that weighs benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). This balanced approach ensures no single factor dominates the ranking.
Check our coding leaderboard for the latest rankings. Top coding models are evaluated on SWE-bench, HumanEval, and real-world coding tasks. The ranking updates hourly as new models are released and benchmarks are refreshed.