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Teams estimating and comparing AI model costs
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AICost
AICost is an independent price tracker for AI models built around one practical question: what will this actually cost me? It lists input, output and cache rates per million tokens for more than 300 models from over 30 providers, including OpenAI, Anthropic, Google, Mistral, DeepSeek, Qwen and Kimi. Every price is traced back to the vendor's own pricing page, dated and kept with its history, and corrections are published in a public log, so you can see when and why a number changed. It also makes API pricing comparable with subscriptions and AI coding tool plans, which helps when deciding between paying per token or per seat. It is useful for developers estimating bills, product teams picking a model and finance people sanity-checking AI spend. The honest trade-offs: it tells you price, not quality, so you still need benchmarks or your own tests, and real bills depend on your actual token usage. As a free, well-sourced reference, it saves a lot of tab-hopping.
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Pros
- Every price sourced and dated
- Covers 300+ models
- Compares APIs with subscriptions
Cons
- Price only, not model quality
- Real cost depends on your usage
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