Mistral Large 2.1Work with me

Mistral Large 2.1

byMistral

Mistral Large 2.1 is a language model from Mistral released on Jul 24, 2024. It reads text and writes text, with a 131K token context window and up to 16K tokens per reply.

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It costs $2 per million input tokens and $6 per million output tokens.

It supports tool calling, and its weights are open, so you can host it yourself.

2 providers serve it, including Helicone and Merge Gateway.

Modalities
In / out price
$2 / $6 per 1M
Context
131K
Max output
16K
Released
Jul 24, 2024
Knowledge cutoff
Nov 2024
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Mistral Large 2.1 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$2 / 1M tokens
Output$6 / 1M tokens

Mistral Large 2.1 providers

2 providers serve it, including Helicone and Merge Gateway. 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
Helicone$2$6–128K33K
Merge Gateway$2$6–131K16K

What Mistral Large 2.1 costs per month

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

Mistral Large 2.1 per month
$213
Without caching
$213
Per request
$0.0071

Supported request parameters

What you can set when you call Mistral Large 2.1 through an OpenAI compatible API.

  • Toolstools
  • Temperaturetemperature

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All Mistral models

Mistral Large 2.1 questions

How much does the Mistral Large 2.1 API cost?

$2 per million input tokens and $6 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of Mistral Large 2.1?

131,072 tokens of input, and it can write up to 16,384 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Which providers serve Mistral Large 2.1?

2 providers serve it, including Helicone and Merge Gateway. Prices differ by host, so the Providers table on this page lists each one with its input and output price.

Does Mistral Large 2.1 support tool calling?

Yes. It accepts tool definitions, which is what an agent needs to call your APIs.

Is Mistral Large 2.1 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 Mistral Large 2.1 released?

Jul 24, 2024, with training data up to Nov 2024.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.

Building on Mistral Large 2.1?

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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