When the OpenAI option may fit
- Your stack already depends on OpenAI tooling or model behavior.
- The representative model passes your quality evaluation.
- Its rate and operational constraints fit your volume.
API cost comparison
Provider-level pricing is not one number. This page uses GPT-4.1 mini and Claude Haiku 4.5 as disclosed lower-cost representatives available in the TokenMath catalog.
1,000 input tokens + 300 output tokens × 10,000 requests per month, with no cache or batch discount.
Monthly cost difference: $16.20
| Provider / model | Input / 1M | Output / 1M | Cached input / 1M | Monthly example | Verification |
|---|---|---|---|---|---|
OpenAI GPT-4.1 mini | $0.40 | $1.60 | $0.10 | $8.80Lowest cost | Verified Jun 21, 2026 OpenAI model pricing |
Anthropic Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $25.00 | Verified Jun 21, 2026 Anthropic Claude API pricing |
These are decision prompts, not quality rankings. Validate capability, latency, context limits, rate limits, and reliability with your own evaluation set.
No. It compares the two representative models named on the page. Use the model pricing comparison for the wider catalog.
No. Provider cost depends on the selected model, token mix, caching, batch mode, and workload.
Input tokens
Input tokens are the tokenized units sent to a model, including instructions, user content, conversation history, retrieved context, and tool definitions.
OpenOutput tokens
Output tokens are the tokenized units generated by a language model, including visible responses and any billable reasoning or thinking tokens defined by the provider.
OpenCost per request
Cost per request is the sum of all billable usage generated by one API call, commonly input token cost plus output token cost for a text model.
Open