Models / Mistral AI/ Mistral Medium 3

Mistral Medium 3

Mistral AI · released May 7, 2025

Input: text, images and documents. Output: text.InputOutput
Type
Closed
Input
$0.40
Output
$2.00
Cached
$0.040

List price · per 1M tokens · Mistral AI at 131K context · source ↗

Our take

Written Sep 2, 2026

Mistral Medium 3 is a hosted-only text-and-image model from Mistral AI that handles up to 131,072 tokens in a single request. It sits between the company's free tier and its top-tier offerings, with identical pricing across the two main providers we track.

Who should pick it

Pick this for long-document work where a 128K request limit matters at moderate cost, or for multimodal inputs that need text output with consistent pricing across providers. Skip it if you need measured quality scores to compare against alternatives, or if throughput predictability is critical to your workload.

The case for it

  • 131,072-token request limit at the same price as shorter-context competitors in this vendor's lineup.
  • Consistent pricing across OpenRouter and Mistral direct, so provider switching does not change your rate.

The case against it

  • No benchmark scores in our data — no measured chat, coding, or reasoning quality to judge against.
  • Throughput is unclear: Mistral direct lists two speeds at the same price, and third-party routes are unverified.
  • Proprietary only; you cannot download the weights or run it yourself.
00

How good is it?

We hold no score for this model.

So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.

Where these scores come from →

01

Where to rent it

Prices checked 2 hours ago — each listing carries its own date.

Cheapest published offer

Mistral AI, through OpenRouter

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts Mistral AI on 131K of context.

per 1M tokens
$0.40 in / $2.00 out
Context served
131K
Throughput
~58 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$0.40 / $2.00checked 2 hours ago131Knot measuredUnknownUnknownUnknown
Mistral AIThrough OpenRouter$0.40 / $2.00checked 2 hours ago131K105K max reply58 tok/sNoYes30 daysConfirmed
Mistral AIeuThrough OpenRouter$0.44 / $2.20checked 2 hours ago131K105K max reply44 tok/sNoYes30 daysConfirmed

Across the 3 listings we hold: 2 say they do not train on prompts, 0 say they do and 1 does not say. 2 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✓✓✓
Mistral AIThrough OpenRouter✓✓✓
Mistral AIeuThrough OpenRouter✓✓✓

Tool calling: 3 of 3 listings say yes. JSON output: 3 of 3 listings say yes. Strict schema: 3 of 3 listings say yes.

02

Models people weigh against Mistral Medium 3

03

When we formed this view

Recent changes

Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
May 7, 2025AnnouncedMistral Medium 3 announced by Mistral AI

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • No independent board has scored it, so we hold no quality figures at all.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 3 listings does not say whether it trains on prompts.
  • We hold no batch or off-peak rate for any of its listings.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and documents in, text out
Catalogue slug
mistralai-mistral-medium-3

Machine-readable model card (omc.json) →

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