OpenClaw Model Routing Guide: Which AI Model for Which Task (Cost-Optimized)

The most common mistake is using flagship models like Claude Opus or GPT-5.2 for all tasks, including simple ones like heartbeats and cron jobs. This leads to spending $100+ monthly when $20-$50 could achieve similar results for 95% of tasks by matching models to task complexity.

Businesses assume more expensive models automatically deliver better results, when in reality, simpler tasks show no measurable improvement from flagship models while costing 5-10x more per execution.

• Heartbeat checks don't need Opus - Haiku works perfectly
• Simple customer queries gain nothing from GPT-5.2
• Monitoring tasks run identically on budget models

Claude Sonnet 4.6 is the community favorite for daily conversations, offering excellent performance at $3 per million input tokens. It provides 90% of Opus quality at 30% of the cost, making it the ideal default model for most interactive use cases.

Across Hacker News, Reddit, and industry forums, Sonnet consistently receives praise for its balance of capability and affordability. Developers report it handles:

• Customer support dialogues
• General business Q&A
• Moderate complexity analysis

For simple tasks like heartbeats, monitoring, and cron jobs, Claude Haiku 4.5 at $1 per million tokens or Gemini 2.0 Flash at 10 cents per million are ideal. These budget models handle repetitive tasks perfectly while reducing costs by 80-90% compared to flagship models.

The key insight: These tasks require minimal reasoning capability. A model checking "is the service running?" doesn't need Opus-level intelligence. Community benchmarks show:

• Haiku completes heartbeat checks 0.2s slower than Opus
• Gemini Flash handles monitoring at 1/250th the cost
• Error rates identical across all tiers for these tasks

Proper model routing can reduce AI costs by 70% while maintaining 90% of flagship model performance. Community reports show monthly bills dropping from $100+ to $20-$50 for equivalent task volumes by matching model capabilities to task requirements.

One SaaS company documented their optimization journey:

• Before: $127/month (all tasks on Opus)
• After: $38/month (Sonnet default, Haiku heartbeats)
• Savings: 70% with no user complaints

The balance setup uses Claude Sonnet as the default model ($20-$50/month) with Haiku for heartbeats. For tighter budgets, make Haiku the default ($5-$15/month) with Sonnet only for main chat. Both configurations maintain quality while optimizing costs.

Implementation tips:

• Start with Sonnet default + Haiku heartbeats
• Monitor for one billing cycle
• Only downgrade to Haiku default if Sonnet is underutilized

For complex reasoning, multi-step planning, and difficult debugging, flagship models like Claude Opus ($25 per million output tokens) or GPT-5.2 deliver superior results. These should be used selectively for high-value tasks where their capabilities justify the cost.

Real-world examples where flagships shine:

• Untangling nested code bugs
• Strategic business planning
• High-stakes decision analysis

Three easy wins: 1) Prompt caching to avoid redundant processing, 2) Regular session resets with /clear commands, and 3) Routing simple tasks to budget models. Together these can reduce costs by 40-60% immediately without sacrificing performance.

Implementation details:

• Cache frequent responses for 24-48 hours
• Reset sessions every 20-30 messages
• Audit tasks weekly for downgrade opportunities

GrowwStacks helps businesses implement intelligent AI model routing systems tailored to their specific workflows. We'll analyze your usage patterns, configure optimal model assignments, and build monitoring dashboards to track cost savings.

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• Custom workflow analysis and optimization
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