🧠 Model Guide

Best Models to Use with OpenClaw in 2026 (Ranked by Task)

Not all models are equal — and more expensive doesn't always mean better for your use case. Here's the definitive 2026 model comparison: cost per million tokens, real-world performance, and exactly which model to use for each task.

🦞 claw.mobile Editorial·March 22, 2026·
18 min read

Full Model Comparison Table (2026)

Prices as of March 2026. Always verify current pricing on the provider's website before making cost projections.

ModelInput ($/1M)Output ($/1M)ContextSpeedBest For
Claude Sonnet 4.6⭐ Default$3.00$15.00200KFastDaily work, coding, writing
Claude Opus 4.6$15.00$75.00200KSlowerArchitecture, critical decisions
Claude Haiku 4$0.80$4.00200KVery FastResearch, triage, sub-agents
Gemini Flash 2.5$0.15$0.601MVery FastHigh-volume, long docs
Gemini Flash Lite$0.075$0.301MFastestHeartbeat, compaction
Kimi K2.5$2.00$8.002MFastMassive codebase analysis
Grok 4$3.00$15.00256KFastX/Twitter, real-time web

Claude Sonnet 4.6

The Daily Driver

⭐ Recommended Default
$3.00 input / $15.00 output per 1M tokens

Sonnet is the sweet spot for most OpenClaw users. It's capable enough for complex coding, reasoning, and writing tasks, while being affordable enough to use as your default model all day.

Use for:

  • Main agent (your primary conversational agent)
  • Complex coding and debugging
  • Multi-step reasoning and planning
  • Writing long-form content with quality
  • Code review with nuanced feedback
  • Architecture discussions

This should be your default model for interactive work. Use Haiku for background tasks to keep costs down.

Claude Opus 4.6

The Architect

💎 Elite Tasks Only
$15.00 input / $75.00 output per 1M tokens

Opus is Anthropic's most capable model. It's also 5x more expensive than Sonnet. Use it sparingly and deliberately — only when you've confirmed Sonnet isn't good enough.

Use for:

  • Critical system architecture decisions
  • Complex legal or financial document analysis
  • Tasks where quality difference is measurable and matters
  • Deep technical research requiring highest accuracy

Never use Opus as your default. Evaluate each task explicitly — can Sonnet do this well enough? If yes, use Sonnet.

Claude Haiku 4

The Workhorse

🏃 Workhorse
$0.80 input / $4.00 output per 1M tokens

Haiku handles 70% of what most OpenClaw users need daily. Don't let the "small" label fool you — Haiku 4 is genuinely capable for focused tasks.

Use for:

  • Web research and content summarization
  • Email triage and classification
  • Data extraction from web pages
  • Simple code generation (under 100 lines)
  • All sub-agent workers doing research/fetch tasks
  • LCM context compaction

Make Haiku your default for cron jobs and sub-agents. Reserve Sonnet for interactive tasks where quality matters.

Gemini Flash 2.5 & Flash Lite

Infrastructure

⚡ Infrastructure
Flash: $0.15 input / Flash Lite: $0.075 input per 1M tokens

Google's Flash models are the cheapest capable models available. Flash Lite is ideal for infrastructure-level tasks where you need many small completions. Flash 2.5 has a 1M token context window — ideal for loading entire codebases.

Use for:

  • Heartbeat model (silent keep-alive pings)
  • Context compaction (LCM compaction)
  • Background monitors and watchers
  • Loading and summarizing large documents (Flash 2.5)
  • High-volume sub-agents with simple jobs

Use Flash Lite for heartbeat and compaction. Use Flash 2.5 when you need to load a very large codebase or document.

Kimi K2.5

The Long Context Specialist

📚 Long Context
$2.00 input / $8.00 output per 1M tokens

Kimi K2.5 has a 2M token context window — the largest available. This makes it uniquely capable for tasks that require loading entire large codebases, book-length documents, or years of conversation history simultaneously.

Use for:

  • Analyzing entire large codebases in one context
  • Working with book-length documents
  • Cross-file refactoring with full project context
  • Long-term project analysis with full history

Niche use case but excellent when you need it. If your task requires loading more than 200K tokens of context, Kimi K2.5 is the only viable option.

Grok 4

The Real-Time Intelligence Model

🐦 Real-Time
$3.00 input / $15.00 output per 1M tokens

Grok 4 has unique access to real-time X/Twitter data, making it invaluable for social listening, trend monitoring, and tracking conversations on X. It also performs well on general tasks at Sonnet-level pricing.

Use for:

  • X/Twitter search, trending topics, user lookup
  • Real-time news and events monitoring
  • Social media sentiment analysis
  • Anything requiring X platform data

Use Grok specifically when you need X/Twitter data. For general tasks, Sonnet is equivalent at the same price.

Task-to-Model Mapping

TaskUse This ModelWhy
Main conversational agentClaude Sonnet 4.6Best quality/cost for daily work
Web research sub-agentsClaude Haiku 4Fast + cheap for simple extraction
Heartbeat / keep-aliveGemini Flash LiteCheapest, no real intelligence needed
LCM context compactionGemini Flash LiteSummarization doesn't need Sonnet
Complex code reviewClaude Sonnet 4.6Reasoning quality matters
Architecture decisionsClaude Opus 4.6Only task where Opus is worth it
X/Twitter data queriesGrok 4Unique real-time X access
Full codebase analysisKimi K2.52M context handles any codebase
Email triageClaude Haiku 4Simple classification task
Morning briefing cronClaude Haiku 4Runs daily — keep costs minimal

Optimize Your Costs Further

Right models + right config = 80% cost reduction. Read the full optimization guide.

Cost Optimization Guide
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