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Mistral Small 3.2 24B pricing and routing profile

Mistral Small 3.2 24B from Mistral AI lists at $0.0938 per million input tokens and $0.25 per million output tokens, with a 256,000-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.0938
Output, per 1M tokens$0.25
Context window256K
Confidence signalAvailable

Tool callingStructured outputLog probabilities

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.0588
Chat reply (2,000 in, 400 out)$0.288
Retrieval-augmented answer (8,000 in, 500 out)$0.875

Before prompt caching. Try your own shape in the cost calculator.

Can Gimbix route to it first?

Yes. At least one host return token log probabilities for Mistral Small 3.2 24B, which is the confidence signal Gimbix uses to let a cheaper model answer first.

Cheaper models that can answer first

Models priced below Mistral Small 3.2 24B that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.

ModelInput / output per 1MCheaper on a chat reply
Nemotron 3.5 Lightning$0.08 / $0.2017%
Gemma 4 26B A4B $0.0675 / $0.22522%
Granite 4.2 8B$0.06 / $0.2524%
Nemotron 3 Nano 30B A3B$0.05 / $0.2037%
Llama 3.1 8B Instruct$0.05 / $0.0854%
Qwen3.7 Flash$0.03 / $0.1361%

Questions

How much does Mistral Small 3.2 24B cost?

Mistral Small 3.2 24B lists at $0.0938 per million input tokens and $0.25 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $0.288 per 1,000 requests.

What is the context window of Mistral Small 3.2 24B?

256,000 tokens.

Can a cheaper model replace Mistral Small 3.2 24B?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match Mistral Small 3.2 24B on one half of your requests and make at most three answers worse on the other.