Cost Calculator
Compare 14 AI models for bug detection. 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.
Bug detection sends a file and gets back a short list of suspected defects, so input dominates and output stays small. That makes it cheap per call and tempting to run continuously, which is the real cost driver: frequency, not per-call price. Caching the unchanged parts of the codebase and running only on changed files is worth more than switching models.
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.
Bug detection sends a file and gets back a short list of suspected defects, so input dominates and output stays small. That makes it cheap per call and tempting to run continuously, which is the real cost driver: frequency, not per-call price. Caching the unchanged parts of the codebase and running only on changed files is worth more than switching models. 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 bug detection, 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 bug detection, 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.