Cost Calculator
Compare 14 AI models for api generation. Prices shown at 10K calls/month with default token counts.
Code generation tasks send a natural language prompt and receive executable code back. Token usage tends to be input-heavy with system instructions and added context. Output scales with the complexity of the code the model generates.
Endpoint generation is the most output-heavy code task tracked here: 3K in for the spec, 6K out for handlers, types, validation, and error paths. Output pricing is therefore the whole ballgame, and the gap between a flagship and a mid-tier model at 6K output tokens compounds fast across a large API surface. Generating one resource at a time costs less than one giant multi-resource prompt.
Recommendations
Best quality
Claude Opus 4.8
95/100 confidence
Best value
Claude Sonnet 5
93/100 confidence · $140/mo
Budget pick
GPT 5.6 Luna
70/100 confidence · $16/mo
Monthly estimates assume 3,000 input / 6,000 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.
Endpoint generation is the most output-heavy code task tracked here: 3K in for the spec, 6K out for handlers, types, validation, and error paths. Output pricing is therefore the whole ballgame, and the gap between a flagship and a mid-tier model at 6K output tokens compounds fast across a large API surface. Generating one resource at a time costs less than one giant multi-resource prompt. Across the 14 models we track, a typical call uses about 3,000 input and 6,000 output tokens.
GPT 5.6 Luna from GPT is the lowest-cost model we track for api generation, at roughly $16.00 for 10,000 calls per month. It scores 70 out of 100 on this task type.
Claude Opus 4.8 from Claude ranks highest for api generation, 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.