OSLabs engineers release open-source CLI to find cheapest Claude tier for your workload
Three developers at OSLabs have built PennyWyze, a free open-source command-line tool that helps teams identify the most cost-effective Claude AI tier for their specific use case. Users supply their production prompt and a labeled dataset of real inputs with known correct answers, and the tool runs each example against Claude Opus, Sonnet, and Haiku via the Anthropic API. PennyWyze measures actual accuracy and calculates real monthly cost projections based on live token counts, then recommends the cheapest tier that meets the user's defined pass-rate threshold. In a sample audit, the tool identified Claude Haiku as equally accurate to Opus at 49 out of 50 questions, while costing roughly $180 less per month. Currently, the tool supports only exact-match tasks such as classification and routing, with an LLM-as-judge mode for open-ended generation planned for a future release.
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