Best open-source models for OpenClaw

Kimi K2.6 is the best open-weight model for OpenClaw, scoring 47.6% on CursorBench 3.1, the highest of any open model, at $0.68 per million input tokens. DeepSeek V4 is the next pick for frontier-class reasoning at lower cost, and Qwen3 Coder 480B is best when you need a 1M token context window for big repositories.

By token volume on OpenRouter over the last 30 days, the open-weight models OpenClaw routes most are DeepSeek V4 (the Flash and full tiers), Nemotron 3 Super, MiniMax, Kimi K2.6, and the MiMo V2.5 line. Real-world usage leans on cheap, high-context open weights, which is why this list ranks a deep bench rather than a top three.

MiniMax M2.7 ships open weights, so you can self-host it, and it sits on this list. The newer MiniMax M3 is API-only (closed weights) for now, so it appears on our general and free OpenClaw rankings instead of here. If MiniMax open-weights M3 later, it will move onto this list.

Open-weight models let you inspect, fine-tune, and self-host the model, so no prompts or data leave your machine. That fits OpenClaw's self-hostable runtime perfectly: keep the whole always-on operator stack in-house, which suits privacy-sensitive or regulated deployments and removes the per-token API bill when you host it yourself.

Yes. Because the weights are open, you can serve any of these through Ollama, vLLM, or SGLang and point OpenClaw at the local OpenAI-compatible endpoint. Smaller models run on a single GPU or an Apple Silicon Mac; the largest, like Qwen3 Coder 480B, need serious hardware or a hosted endpoint such as OpenRouter.

Free models cost $0 to call but run on someone else's servers with rate limits, which bite harder for an always-on agent. Open-source models ship downloadable weights you can host yourself with no limits and full privacy, though hosting has its own cost. Some models are both. See our best free models for OpenClaw ranking for the zero-API-cost options.