When the OpenAI option may fit
- OpenAI integrations reduce implementation work for your product.
- The selected model meets quality and latency requirements.
- You have verified account-specific limits and pricing.
API cost comparison
This provider comparison uses GPT-4.1 mini and Gemini 2.5 Flash because both are lower-cost text options represented in the current catalog.
1,000 input tokens + 300 output tokens × 10,000 requests per month, with no cache or batch discount.
Monthly cost difference: $1.70
| 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 |
Google Gemini Gemini 2.5 Flash | $0.30 | $2.50 | $0.03 | $10.50 | Verified Jun 21, 2026 Google Gemini API pricing |
These are decision prompts, not quality rankings. Validate capability, latency, context limits, rate limits, and reliability with your own evaluation set.
They are disclosed lower-cost text representatives in the current TokenMath catalog. The comparison is not a claim that their capabilities are identical.
No. The example applies the versioned paid rates in TokenMath's catalog.
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