GPT-4o mini API pricing (August 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
- 128K tokens
- Max output
- 16K tokens
- Tier
- small
- Status
- GA
- Blended $/1M (3:1)
- $0.262
- Cache break-even hit rate
- 0% — caching always saves
- Prices verified
- 4 Aug 2026
Source: OpenAI pricing. Finitizer is not affiliated with OpenAI.
Similar models
Other gpt models
- GPT-5+$3.18
- GPT-5 mini+$0.425
- GPT-5 nano$-0.125
- GPT-4.1+$3.24
- GPT-4.1 mini+$0.438
- GPT-4.1 nano$-0.087
- GPT-4o+$4.11
- o3+$3.24
- o4-mini+$1.66
Closest prices elsewhere
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Frequently asked questions
How much does GPT-4o mini cost per 1M tokens?
GPT-4o mini costs $0.150 per million input tokens and $0.600 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-4o mini support prompt caching?
Yes. Cached input is billed at $0.075 per million tokens, 2x cheaper than uncached input. There is no cache-write premium, so caching is never a net loss.
What is the batch discount for GPT-4o mini?
Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $0.075 and output to $0.300 per million tokens.
What is GPT-4o mini's context window?
128K tokens of context with up to 16K 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-4o 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.