Best Models for OpenClaw: Top Picks for Agentic Workloads
Blog post from Deepinfra
OpenClaw, a local-first autonomous AI agent, integrates with messaging platforms and any LLM provider through an OpenAI-compatible API, offering flexibility not limited to standard cloud options. As of mid-2026, the guide evaluates top models for OpenClaw based on tool-calling accuracy, instruction adherence over long sessions, context retention, and cost per completed task. Kimi K2.5, a 1-trillion-parameter model from Moonshot AI, is acclaimed for its reliable tool-calling, consistent instruction adherence, and strong context retention, making it a top choice for general agents. For cost-conscious deployments, DeepSeek-V3-0324 offers significant savings while maintaining reasonable performance for straightforward tasks. Qwen3 Coder 480B A35B excels in coding tasks with its superior performance in code generation and review. Llama 3.1 70B Instruct provides an economical solution for simple routing tasks. These models are accessible on DeepInfra with a straightforward setup, allowing users to select models based on specific task requirements, enhancing OpenClaw's adaptability and efficiency.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| OpenClaw | 37 | 624 | 65 | 39 | -4% |
| LLM | 2 | 5,932 | 1,046 | 223 | -2% |
| AI Agents | 1 | 4,430 | 1,100 | 236 | -3% |
| Multi-agent systems | 1 | 460 | 170 | 68 | -20% |
| Vector Search | 1 | 1,739 | 413 | 146 | -27% |
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