A rate per million tokens is not a budget. The calculator takes your request volume, prompt size and cache hit rate and gives you a monthly figure.
GPT-4.1 mini API pricing (September 2026)
What it costs at real volumes
A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.
Specifications
- Provider
- OpenAI
- Context window
- 1.0M tokens
- Max output
- 33K tokens
- Tier
- small
- Status
- GA
- Blended $/1M (3:1)
- $0.700
- Cache break-even hit rate
- 0%, caching always saves
- Prices verified
- 11 Sep 2026
Source: OpenAI pricing. Finitizer is not affiliated with OpenAI.
Similar models
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- GPT-4o+$3.68
- GPT-4o mini$-0.438
- o3+$2.80
- o4-mini+$1.23
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Frequently asked questions
How much does GPT-4.1 mini cost per 1M tokens?
GPT-4.1 mini costs $0.400 per million input tokens and $1.60 per million output tokens at OpenAI list prices. Output is 4.0x the input rate, so the input:output ratio of your workload drives the real cost more than the headline price.
Does GPT-4.1 mini support prompt caching?
Yes. Cached input is billed at $0.100 per million tokens, 4x cheaper than uncached input. There is no cache-write premium, so caching is never a net loss.
What is the batch discount for GPT-4.1 mini?
Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $0.200 and output to $0.800 per million tokens.
What is GPT-4.1 mini's context window?
1.0M tokens of context with up to 33K output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token, but filling it on every request is one of the most common causes of an unexpected bill.
Running GPT-4.1 mini in production?
Finitizer TokenOps attributes real token spend to teams, features, and prompts, so you find out which workload moved the bill before the invoice does.