Annual AI Cost Calculator

Estimate your team's monthly and annual LLM API spend. Adjust team size, usage, and model mix to see how much you'll burn — and where to optimize.

Team size Tokens per dev / day (input) Tokens per dev / day (output) Working days / month Cache hit rate

40%

Batch API share

Premium tier (Opus / GPT-5 / Gemini Pro)

% of workload $/1M input $/1M output

Mid tier (Sonnet / GPT-5 mini)

% of workload $/1M input $/1M output

Cheap tier (Haiku / Flash)

% of workload $/1M input $/1M output

Per developer / month

Team total / month

Team total / year

Optimization tips

Lift cache hit rate to 60%+ by stabilizing system prompts and reusing reference docs verbatim.
Push more workload to Batch API for non-urgent jobs — 50% off and no rate-limit pressure.
Increase Cheap-tier share for classification, extraction, and summarization. Most teams over-use Premium.
Audit monthly: cap max_tokens, enforce thinking_budget_tokens on Opus 4.7+, and route by intent.