Models / Mistral AI/ Mistral Large 2407

Mistral Large 2407

Mistral AI · released Nov 19, 2024

Input: text and documents. Output: text.InputOutput
Type
Closed
Input
$2.00
Output
$6.00
Cached
$0.20

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

Our take

Written Sep 30, 2026

Mistral Large 2407 is a hosted-only text model from late 2024, and its Arena placings sit in the bottom fifth of the field on every board we hold. It is a long-document workhorse rather than a leaderboard contender, and you reach it through a host rather than running it yourself.

Who should pick it

Use it for long-document work where the whole file goes into one request and the bill is predictable across the listed offers. Its request capacity takes a long report or a set of source files beside the question, though whether it recalls details across the whole span is unverified in our data. Skip it if you need a model near the top of the Arena boards, or if you want to run the model on your own machine.

The case for it

  • Long documents need not be split up first: the request capacity takes a whole report or a set of source files beside the question, though reliable recall across all of it is unverified in our data.
  • Two of the three listed offers sit at the same rate, so at those two the host you pick does not change the bill.

The case against it

  • Bottom-fifth placings on every Arena board we hold, including 142nd of 168 on Arena Text (overall) and 135th of 168 on Arena Creative Writing as of 25 Sep 2026; these are human pairwise preference boards, not correctness tests.
  • We list no download for it, so using it means choosing a host, and no licence is supplied, so we cannot say what the terms permit.
  • The model's size is not disclosed, so nothing here indicates what hardware it would need if it were downloadable.
00

How good is it?

A general text model for chat and everyday requests, though it trails most models on common questions, drafting and code.

Less good at
  • getting answers to everyday questionsArena Text (overall) · 142nd of 168
  • drafts, rewrites and editingArena Creative Writing · 135th of 168
  • writing and completing codeArena Coding · 142nd of 168

EverydayGeneral questions and everyday reasoning

1.5 of 5

Arena Text (overall)142nd of 168 · 1314

Arena Hard Prompts 142nd of 168Arena Maths 139th of 163

CodingWriting and fixing code on its own

1.5 of 5

Arena Coding142nd of 168 · 1354

Arena Coding is the only board that has scored it for this.

AgenticPlanning, calling tools, staying on task

not measured

Not yet scored on Arena Agent.

WritingDrafting and rewriting prose

1.5 of 5

Arena Creative Writing135th of 168 · 1287

Arena Creative Writing is the only board that has scored it for this.

Other boards it appears on
Arena Instruction Following 137th of 168

These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done.

Every published score for this model6 scoresEvery figure we hold, from 6 boards, with who ran it and a link to the source — including the boards no rating above is built on.
1354source ↗
1287source ↗
1320source ↗
1288source ↗
1314source ↗
01

Where to rent it

Prices checked 4 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
$2.00 in / $6.00 out
Context served
131K
Throughput
~41 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$2.00 / $6.00checked 4 hours ago131Knot measuredUnknownUnknownUnknown
Mistral AIThrough OpenRouter$2.00 / $6.00checked 4 hours ago131K105K max reply41 tok/sNoYes30 daysConfirmed
Mistral AIeuThrough OpenRouter$2.20 / $6.60checked 4 hours ago131K105K max reply45 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 Large 2407

03

When we formed this view

Recent changes

Sep 25, 2026BenchmarkScored 1354 on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1287 on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1320 on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1299 on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1288 on Arena Maths
What movedleaderboard
Sep 25, 2026BenchmarkScored 1314 on Arena Text (overall)
What movedleaderboard
Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Nov 19, 2024AnnouncedMistral Large 2407 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

  • 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 and documents in, text out
Catalogue slug
mistralai-mistral-large-2407

Machine-readable model card (omc.json) →

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