Text model
gpt-4.1-mini pricing
OpenAI charges $0.40 per million input tokens and $1.60 per million output tokens for gpt-4.1-mini, and $0.10 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.40/ 1M
- Output
- $1.60/ 1M
- Cached input
- $0.10/ 1M
- Context
- 1Mtokens
Retires 2027-01-14. Move to Pin a current model. This alias's dated snapshots retire 2027-01-14; OpenAI doesn't say what the alias will point to.. npx @veqen/sdk scan finds every place your code uses it.
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.40 | $1.60 | $0.10 | — |
| Batch | $0.20 | $0.80 | — | — |
| Priority | $0.70 | $2.80 | $0.175 | — |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.00124 | 100,000 | $124.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.002 | 100,000 | $200.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00368 | 250,000 | $920.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | $0.00084 | 1,000,000 | $840.00 |
Planning a mix of models? Simulate a workload with gpt-4.1-mini, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| openai/gpt-5.6-luna | $0.00078 | 37% |
| openai/gpt-4o-mini-search-preview | $0.000465 | 62% |
| novita/qwen/qwen3-vl-235b-a22b-instruct | $0.00105 | 15% |
| qwen/qwen-coder | $0.00105 | 15% |
Price history
No price changes since Veqen started tracking this model.
Also billed under: gpt-4.1-mini-2025-04-14.
Compare
Last verified with price book 2026-10-22. Sources: OpenAI pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.