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OpenClaw Models Providers governs the cognitive intelligence layer of the framework, structuring model selection, dynamic provider routing, latency benchmarking, and token economics across both cloud API engines and on-device weights.

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Foundational Guides
Architecture & Protocols
Topic Directory
Frequently Asked Questions

Foundational Pillars (Start Here)

Authoritative implementation blueprints and core configurations verified by our technical engineering team.

Frontier LLM Integration

OpenClaw Claude: Connect Anthropic’s Model in 4 Steps

How to wire Anthropic’s Claude 3.5 Sonnet and Claude 3.7 into OpenClaw for maximum agentic reasoning accuracy.

Model Selection Matrix

OpenClaw Models: Which LLMs Work Best for Which Agent Tasks

Empirical task-by-task matching: routing code generation, web research, summarization, and decision loops to optimal models.

Cost Optimization

OpenClaw Local LLM: Cut API Costs With On-Device Models

Architectural strategies for offloading high-volume classification and extraction tasks to zero-cost local inference engines.

Cognitive Architecture: Multi-Model Routing, Context Economics & Token Tiers

No single language model is optimal for all stages of an agentic workflow. Top-tier frontier models (such as Claude 3.7 Sonnet and OpenAI o3-mini) exhibit unmatched reasoning depth and tool calling precision but incur higher token costs and slower latency. In high-throughput operations, utilizing high-tier models for routine tasks like string cleaning or classification results in massive economic waste.

OpenClaw resolves this through tiered model routing. High-reasoning planner agents formulate architectural plans and review outputs, while lightweight sub-tier models (DeepSeek V3, Claude 3.5 Haiku, or local Llama 3) execute high-frequency tool invocations and structured data harvesting.

Model FamilyPrimary StrengthTool Calling ReliabilityEconomic Profile
Anthropic Claude (Sonnet 3.5/3.7)State-of-the-art coding & complex planningSuperior (>98% tool syntax pass rate)Standard commercial pricing ($3/$15 per M tokens)
OpenAI (GPT-4o / o3-mini)High concurrency & structured JSON modeExcellent (>95% reliability)Mid-tier pricing with batch API discounts
DeepSeek (V3 / R1)Outstanding reasoning-to-cost ratioVery Good (>92% reliability)Ultra-low cost ($0.14/$0.28 per M tokens)
Local Weights (Ollama / Llama 3)Complete privacy & zero marginal API costModel dependent (Best on 14B+ models)$0.00 (Hardware investment only)

Curated Topic Directory & Implementation Guides

Explore specific technical tutorials, integration setups, and architectural deep-dives.

Commercial Cloud LLM Providers

Local Models & Performance Benchmarks

Frequently Asked Questions

Direct technical answers to common architecture, performance, and deployment questions.

Which LLM is currently best for OpenClaw coding and planning tasks?

Anthropic’s Claude 3.5 Sonnet and Claude 3.7 Sonnet currently deliver the highest benchmarked accuracy for autonomous planning, multi-step tool execution, and code generation with the lowest error rates.

Can I switch models mid-workflow in OpenClaw?

Yes. OpenClaw supports dynamic model switching via configuration flags or subagent delegation, allowing a planner running on Claude to spawn research workers running on DeepSeek or Ollama.

How does OpenRouter help OpenClaw deployments?

OpenRouter provides a unified API gateway that grants access to hundreds of LLMs (Claude, OpenAI, Mistral, DeepSeek) through a single API key, eliminating vendor lock-in and providing automatic fallback if one provider experiences downtime.

Can small local models (3B-8B) handle OpenClaw tool use?

Small models can handle single-step tool execution (e.g. searching the web or checking status). For multi-turn iterative reasoning and complex JSON schemas, models with at least 14B parameters are strongly advised.

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Getting Started

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Everything you need to get OpenClaw up and running, for every platform and use case.

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Models

LLM providers, local model setup and comparisons to find the right model for your workflow.

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Installation & Setup

Step-by-step install guides for Mac, Windows, Linux and Docker — including errors the docs skip.

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