Mistral: Ministral 3BWork with me

Mistral: Ministral 3B

byMistral

Ministral 3B is a language model from Mistral released on Oct 1, 2024. It reads text and writes text, with a 131K token context window and up to 33K tokens per reply.

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It costs $0.10 per million input tokens and $0.10 per million output tokens. Cached input bills at $0.05, 50% less than fresh input.

It supports tool calling, structured JSON output and prompt caching, and its weights are open, so you can host it yourself.

12 providers serve it, including Azure, Vercel AI Gateway and Azure Cognitive Services. The lowest input price is $0.04 per million tokens at Mistral.

On the Artificial Analysis Intelligence Index it scores 4.8, which places it at number 43 among the 43 models I track with independent scores.

Modalities
In / out price
$0.10 / $0.10 per 1M
Context
131K
Max output
33K
Released
Oct 1, 2024
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Ministral 3B pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$0.10 / 1M tokens
Output$0.10 / 1M tokens
Cached input (read)$0.05 / 1M tokens

Ministral 3B providers

12 providers serve it, including Azure, Vercel AI Gateway and Azure Cognitive Services. The lowest input price is $0.04 per million tokens at Mistral. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.

ProviderInput /MOutput /MCache read /MContextMax output
Mistral First party$0.04$0.04–131K128K
Azure$0.04$0.04–128K8K
Vercel AI Gateway$0.04$0.04–131K128K
Azure Cognitive Services$0.04$0.04–128K8K
DevPass (LLM Gateway)$0.10$0.10–131K8K
Eden AI$0.10$0.10$0.01131K105K
Kilo Gateway$0.10$0.10$0.01131K105K
LLM Gateway$0.10$0.10–131K131K
NanoGPT$0.10$0.10$0.05131K33K
Pioneer$0.10$0.10$0.10128K4K
Cortecs$0.123$0.123$0.012256K256K
AI/ML API$0.2063$0.2063$0.0138131K105K

What Ministral 3B costs per month

Pick a workload close to yours or type your own volumes.

Ministral 3B per month
$6.30
Without caching
$8.55
Per request
$0.0002

Independent benchmarks

Measured by third parties, not reported by Mistral. Each links to its source and shows the date I checked it.

Supported request parameters

What you can set when you call Ministral 3B through an OpenAI compatible API.

  • Toolstools
  • Structured outputsstructured_outputs
  • Temperaturetemperature

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All Mistral models

Ministral 3B questions

How much does the Ministral 3B API cost?

$0.10 per million input tokens and $0.10 per million output tokens, with cached input at $0.05. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of Ministral 3B?

131,072 tokens of input, and it can write up to 32,768 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Which providers serve Ministral 3B?

12 providers serve it, including Azure, Vercel AI Gateway and Azure Cognitive Services. The lowest input price is $0.04 per million tokens at Mistral. Prices differ by host, so the Providers table on this page lists each one with its input and output price.

Does Ministral 3B support tool calling?

Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.

Is Ministral 3B open source?

Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.

When was Ministral 3B released?

Oct 1, 2024.

How good is Ministral 3B compared with other models?

It scores 4.8 on the Artificial Analysis Intelligence Index. Benchmarks are a shortlist, not a verdict: test the top two or three candidates on your own tasks before you commit.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.

Building on Ministral 3B?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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