When GPT-4o mini may fit
- Your evaluation shows the model meets the task's quality requirements.
- You have independently verified its current provider rate and availability.
- Multimodal or model-specific behavior matters to the workload.
API cost comparison
GPT-4o Mini vs GPT-4.1 Mini API Cost Comparison
This comparison only calculates models present in the versioned TokenMath catalog. GPT-4o mini is currently unavailable in that catalog, so TokenMath does not fabricate a rate or cost result for it.
Standard workload comparison
1,000 input tokens + 300 output tokens × 10,000 requests per month, with no cache or batch discount.
A cost difference requires at least two available pricing records.
| Provider / model | Input / 1M | Output / 1M | Cached input / 1M | Monthly example | Verification |
|---|---|---|---|---|---|
| Gpt 4o Mini | No verified TokenMath catalog record is available. Pricing and cost are intentionally not estimated. | ||||
OpenAI GPT-4.1 mini | $0.40 | $1.60 | $0.10 | $8.80Lowest cost | Verified Jun 21, 2026 OpenAI model pricing |
When each option may fit
These are decision prompts, not quality rankings. Validate capability, latency, context limits, rate limits, and reliability with your own evaluation set.
When GPT-4.1 mini may fit
- You want a lower-cost GPT-4.1-family option represented in this catalog.
- The workload is text-heavy and benefits from the model's documented capabilities.
- You have tested latency, quality, and context behavior independently from price.
Frequently asked questions
Why is GPT-4o mini cost not shown?
TokenMath does not currently have a verified GPT-4o mini record in its versioned catalog. The page remains useful by exposing the gap instead of presenting invented pricing.
Does lower API cost mean a model is better?
No. Cost math does not measure capability, latency, context limits, reliability, or output quality.
Related glossary terms
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