Reasoning-focused model for complex planning and math tasks.
Model details →Best AI models for agents
Good agent models need three things: tool use, reasoning, and enough context to remember the task. We weight all three in the score below.
Fast reasoning model optimized for cost/performance.
Model details →64Fit score
Anthropic’s most capable generally available model for complex reasoning and agentic coding (per Anthropic models overview).
Model details →Top 5 models for autonomous agents
| # | Model | Provider | Context | Input price / 1M | Tier |
|---|---|---|---|---|---|
| 1 | o1 | OpenAI | 200K Long context (128K+) | Custom | Variable |
| 2 | o3-mini | OpenAI | 200K Long context (128K+) | Custom | Variable |
| 3 | Claude Opus 4.7 | Anthropic | 1M Ultra context (1M+) | Custom | Variable |
| 4 | DeepSeek R1 | DeepSeek | 128K Long context (128K+) | Custom | Variable |
| 5 | Claude 3.7 Sonnet | Anthropic | 200K Long context (128K+) | Custom | Variable |
Frequently asked questions
What makes a model good for agents?
Reliable tool calling, strong reasoning, large context for memory, and reasonable per-token cost (agents fan out a lot of calls).
Related use cases
AI models for codingAI reasoning modelsAI vision modelslong-context AI models (128K+)AI models for function callingAI models for structured / JSON outputsfree AI modelsCheapest AI models per tokenmultilingual AI modelsembedding modelssmall / on-device AI modelsAI image generation modelsAI voice / audio modelsAI models for mathAI models for writingopen-source AI modelsAI models for RAGAI models for summarizationAI models for translationAI models for enterprise