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.
Mistral Small 4 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
- Mistral AI
- Context window
- 131K tokens
- Max output
- 8.2K tokens
- Tier
- small
- Status
- GA
- Blended $/1M (3:1)
- $0.262
- Cache break-even hit rate
- 0%, caching always saves
- Prices verified
- 11 Sep 2026
Source: Mistral AI pricing. Finitizer is not affiliated with Mistral AI.
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- Mistral Large 3+$0.488
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Frequently asked questions
How much does Mistral Small 4 cost per 1M tokens?
Mistral Small 4 costs $0.150 per million input tokens and $0.600 per million output tokens at Mistral AI 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 Mistral Small 4 support prompt caching?
Yes. Cached input is billed at $0.015 per million tokens, 10x cheaper than uncached input. There is no cache-write premium, so caching is never a net loss.
What is the batch discount for Mistral Small 4?
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 Mistral Small 4's context window?
131K tokens of context with up to 8.2K 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 Mistral Small 4 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.