Cost Calculator
Compare 14 AI models for code review. Prices shown at 10K calls/month with default token counts.
Code review tasks analyze existing source code for bugs, style, and best practices. Input tokens come mostly from the code under review by the model. Output contains structured feedback with specific suggestions for improvement across the codebase.
Review is input-heavy in a way generation is not: the diff or file goes in whole, and structured feedback comes back short. That flips the usual optimization: input rate and cache discounts matter more than output rate. Reviewing the same repository repeatedly means the surrounding context is identical call over call, which is exactly the shape prompt caching is designed for.
Recommendations
Best quality
Claude Sonnet 4.6
95/100 confidence
Best value
Claude Sonnet 5
96/100 confidence · $140/mo
Budget pick
GPT 5.6 Luna
68/100 confidence · $16/mo
Monthly estimates assume 5,000 input / 2,000 output tokens per call. Use the detailed page for custom calculations.
Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.
Review is input-heavy in a way generation is not: the diff or file goes in whole, and structured feedback comes back short. That flips the usual optimization: input rate and cache discounts matter more than output rate. Reviewing the same repository repeatedly means the surrounding context is identical call over call, which is exactly the shape prompt caching is designed for. Across the 14 models we track, a typical call uses about 5,000 input and 2,000 output tokens.
GPT 5.6 Luna from GPT is the lowest-cost model we track for code review, at roughly $16.00 for 10,000 calls per month. It scores 68 out of 100 on this task type.
Claude Sonnet 4.6 from Claude ranks highest for code review, scoring 95 out of 100. Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.
These are estimates based on published rates. Track your real spend with the free dashboard.