external-model-selection

Choose optimal LLMs for code analysis based on performance, cost, and use case. Use parallel consultations for fast, reliable results.

• Select best external AI models for code, bugs, and architecture.
• Compare model perspectives via claudish for diverse insights.
• Empirically validate model performance in real-world tasks.
• Provide proven consultation strategies for complex issues.

• MiniMax M2: 91/100, fast, simple fixes, production-ready.
• Grok Code Fast: 83/100, strong debugging, validation, test design.
• Sherlock Think Alpha: FREE, 1.8M context, full codebase analysis.
• Gemini 3 Pro: 1M context, multimodal, long-horizon planning.
• Avoid Qwen3 Coder: 0/100, fails, timeout issues.
• Parallel consultation strategies for redundancy and accuracy.
• Tiered model selection by task complexity and urgency.
• Critical use cases covered: bugs, architecture, ambiguous problems.

1. 1.Identify task type: bug, architecture, ambiguous root cause.
2. 2.Apply Strategy 1 (MiniMax + Grok) for fast, common issues.
3. 3.Use Strategy 2 (3-model) for critical, high-impact decisions.
4. 4.Use Strategy 3 (Gemini 2.5 Flash) for ambiguous, deep problems.
5. 5.Avoid Qwen3 Coder in production or time-sensitive tasks.
6. 6.Always validate with multiple models for redundancy and accuracy.