AICost
Independent LLM API price desk: compare model pricing across OpenAI, Anthropic, Google and more.
About AICost
AI//COST tracks API rates, token pricing, and infrastructure costs across major artificial intelligence labs. The web utility monitors over three hundred models from more than thirty providers, including OpenAI, Anthropic, Google DeepMind, and Mistral AI. Each listing details input, output, and prompt caching charges per million tokens alongside blended pricing estimates for standard production workloads.
Beyond individual price sheets, the site supplies interactive modeling utilities tailored to machine learning deployments. Users can calculate estimated monthly costs based on prompt length, completion volume, cache hit ratios, and batch processing tiers. Dedicated calculation modules accommodate specialized workflows such as vector embeddings, automated agents, fine-tuning jobs, text-to-speech generation, and video synthesis.
Comparison tools enable side-by-side evaluations of models and subscription tiers against pay-as-you-go developer rates. Readers can examine break-even thresholds between consumer plans and direct API usage, evaluate reasoning token surcharges, and review historical price adjustments. The project maintains independent editorial verification, updating rates when vendors alter their published billing schedules.
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Works with
Features
- Independent, source-verified pricing
- Live updates on model costs
- Comprehensive comparison of AI models
- Specialized cost calculators for voice synthesis, video generation, vector embeddings, fine-tuning, and agent loops
- Side-by-side head-to-head comparison pages contrasting model capabilities, benchmark scores, and effective costs
Use Cases
- Evaluate costs for AI model usage
- Tracking price changes and context window expansions across competing foundation model providers
- Access historical pricing data for budgeting
- Budgeting token allowances and retry costs for multi-step autonomous agent architectures
- Determining whether engineering team members should use individual chat subscriptions or shared API access
Verified facts
Checked by the StackLedge team.
FAQ
How often is the pricing data updated?
Pricing data is updated regularly, with the last update noted on the site for accuracy.
What types of costs are compared?
The site compares input and output costs per million tokens for various AI models.
Is the pricing information verified?
Yes, all prices are sourced directly from the vendors' own pricing pages and are marked with the date they were read.
Can organizations export or license the underlying dataset?
Structured dataset licensing and raw data export packages are offered upon inquiry for engineering teams requiring offline programmatic feeds.
How is the blended token rate calculated?
Blended token pricing models assume a baseline distribution of 92% input tokens, 8% output tokens, and an 82% prompt cache hit rate, standardizing comparative evaluations across providers.
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