GPT-4.1 mini
Fast / cheapSmaller long-context model. Confirm current pricing with OpenAI.
- Input / 1M
- $0.40
- Output / 1M
- $1.60
- Context
- 1M tokens
- Provider
- OpenAI
Pricing verified June 2026. Prices change frequently. Always confirm against the provider’s official pricing page before relying on these figures for budgeting. Official pricing →
What GPT-4.1 mini is best for
Long-context work at a fraction of the flagship cost.
Use it for high-volume, latency-sensitive, low-stakes work: classification, extraction, routing, first-pass drafts. Avoid it for tasks where a wrong answer is expensive — keep those on a stronger model.
GPT-4.1 mini cost by volume
Estimated monthly cost at three realistic volumes, at $0.40 input / $1.60 output per million tokens.
| Scenario | Input / mo | Output / mo | Est. cost / mo |
|---|---|---|---|
| Prototype | 2M | 0.5M | $2 |
| Growing product | 50M | 10M | $36 |
| At scale | 500M | 100M | $360 |
Plug in your own numbers with the cost calculator.
How to cut your GPT-4.1 mini bill
The headline price isn’t the lever — your usage pattern is. The biggest reductions come from how you route and structure requests, not from switching models alone:
- Route low-stakes calls to a cheaper tier and keep GPT-4.1 mini on the routes where its strengths matter.
- Cache large stable prompt prefixes so repeated context bills at a fraction of the price.
- Batch non-urgent work, and trim oversized context by retrieving instead of stuffing.
- Add fallback chains so a timeout doesn’t trigger an expensive retry.
Do it behind evals so quality holds — that combination is how teams cut 30–60% without regressions.
Context window: 1M tokens
GPT-4.1 mini’s context window bounds how much it can consider at once — system prompt, history, retrieved docs, and the response all draw from those 1M tokens. A larger window enables whole-codebase reasoning and long documents, but using more of it costs more per request — so retrieval and caching still matter even when the window is large.
Cheaper alternatives to GPT-4.1 mini
By blended cost (3:1 input:output). The right swap depends on whether quality holds on your routes — always validate with evals.
Frequently asked questions
How much does GPT-4.1 mini cost?
GPT-4.1 mini costs $0.40 per million input tokens and $1.60 per million output tokens. A workload of 50M input and 10M output tokens per month would cost about $36. Confirm current pricing with the provider.
What is GPT-4.1 mini's context window?
GPT-4.1 mini has a 1M-token context window. Smaller long-context model. Confirm current pricing with OpenAI.
Is GPT-4.1 mini the right model for my workload?
Long-context work at a fraction of the flagship cost. The cheapest correct model is workload-specific — route low-stakes calls to a cheaper tier and reserve GPT-4.1 mini for work where its strengths matter, validated by evals.