Best models for autonomous AI agents

An agent is not a chatbot: it plans, calls tools, retries, and writes code or tickets. This collection targets OpenClaw, Hermes, Claude Code, and frameworks like LangGraph — models with strong tool use and context.

8 modelsUpdated 2026-08-27

Models in this collection

ModelTypeContextPrice
Claude Sonnet 5AnthropicChat1M tokens$3.2702/M in · $16.3509/M out
Claude Opus 5AnthropicChat1M tokens$5.4503/M in · $27.2515/M out
GPT-5.5OpenAIChat272k tokens$5.4503/M in · $32.7018/M out
Gemini 2.5 ProGoogleChat2M tokens$1.3626/M in · $10.9006/M out
Kimi K2.7 CodeMoonshot (Kimi)Chat262k tokens$1.0356/M in · $4.3602/M out
DeepSeek V4 ProDeepSeekChat1M tokens$0.4742/M in · $0.9484/M out
Grok Build 0.1xAIChat256k tokens$1.0901/M in · $2.1801/M out
GPT-5.4 miniOpenAIChat272k tokens$0.8175/M in · $4.9053/M out

Why these models

Sonnet/Opus dominate agentic coding; GPT-5.x and Gemini Pro for general orchestration; Kimi Code, DeepSeek Pro, and Grok Build when you want cheaper or more repo-native options.

Use them with Geek Hub

One OpenAI-compatible base URL and API key. Swap any model id from this list without rewriting your client.

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FAQ

Which model for OpenClaw?
Start with Claude Sonnet 5. If the loop is expensive, drop to GPT-5.4-mini or DeepSeek Pro and keep Opus for hard steps.
Do I need reasoning + tools?
Often yes. Pair a reasoning model for the plan with a cheap tool-caller for execution — same API key.
Where do I set the base URL?
In the agent app (OpenClaw, Hermes, etc.): Geek Hub base URL + API key. See Apps guides.

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