Use when choosing, comparing, or tuning AI models for a task. It evaluates task requirements, latency/cost/accuracy constraints, tool needs, context size, privacy, and provider fit across current model families such as GPT, Claude Opus/Sonnet/Haiku, Gemini, Grok, Kimi, DeepSeek, Nvidia, and local/op
Use when choosing, comparing, or tuning AI models for a task. It evaluates task requirements, latency/cost/accuracy constraints, tool needs, context size, privacy, and provider fit across current model families such as GPT, Claude Opus/Sonnet/Haiku, Gemini, Grok, Kimi, DeepSeek, Nvidia, and local/open models. Pair with the model-task-optimizer MCP server when available.
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