All times Eastern (ET)Provider pages checked daily at

Mistral Large 4

API ID mistral-large-4

Launched October 6, 2026

Mistral Large 4 is a preview Mistral model, released October 2026. It has a 1,000,000-token context window. It takes image and PDF input and supports function calling, structured outputs and reasoning. Standard price: $0.68 input and $2.09 output per 1M tokens.

Mistral Large 4 is a state-of-the-art, open-weight, general-purpose multimodal model with a granular Mixture-of-Experts architecture. It features 52B active parameters and 1.05T total parameters, and a 1.6B vision encoder.

Mistral's description
Status
Active
Released
October 2026
Shutdown
none announced
Replacement
—

No deprecation or shutdown date has been announced as of October 15, 2026.

Benchmarks

Scores as each source published them
or

Comparing with Mistral Large 3, the previous model in this line. A score is compared only with the same benchmark from the same source, at the same setting where both have it. Full comparison: prices, limits, features

Reported by Mistral

BenchmarkMistral Large 4Mistral Large 3ChangeSettingSource
Cybench93.0%—post
DeepSWE v1.161.7%—post
SWE-Atlas-QnA59.4%—post
Terminal-Bench 428.3%—post

Run by Mistral with its own settings and test setup, so not directly comparable with other companies' numbers. Each line links to the post (Oct 6, 2026).

Arena

ArenaMistral Large 4Mistral Large 3ChangeRankDateSource
Text
By category
  • Math 1475 rank 48 vs 1401 (+74)
  • Creative writing 1365 rank 162 vs 1374 (−9, within range)
  • Instruction following 1425 rank 105 vs 1402 (+23)
  • Hard prompts 1454 rank 110 vs 1432 (+22)
  • Long prompts 1436 rank 118 vs 1417 (+19)
  • Multi-turn 1438 rank 110 vs 1420 (+18, within range)
  • Expert 1451 rank 115 vs 1427 (+24, within range)
1431 ±81414 ±3+17112 of 415
6,607 votes
Oct 13, 2026source
Text: Coding1499 ±151471 ±5+2882 of 410
1,489 votes
Oct 13, 2026source
WebDev1542 ±141230 ±25+31242 of 142
2,194 votes
Oct 13, 2026source
Agent-0.032 ±0.017not rated39 of 54
14,022 sessions
Oct 14, 2026source

Rated as mistral-large-4; Mistral Large 3 as mistral-large-3. Text and WebDev ratings come from people voting between two anonymous answers; Text is style-controlled, as on arena.ai. Agent is Arena's separate score for real agent sessions, on its own scale. Not rated on Vision, where Mistral Large 3 is. Data: Arena (arena.ai), CC BY 4.0.

Epoch AI

BenchmarkMistral Large 4Mistral Large 3ChangeSettingRunSource
GPQA Diamond88.1%not runhigh effortOct 12, 2026source
OTIS Mock AIME 2024-202598.3%not runhigh effortOct 12, 2026source
SimpleQA Verified20.0%not runhigh effortOct 9, 2026source

Run independently by Epoch AI. Data: Epoch AI, Capabilities & benchmarking (epoch.ai/benchmarks), CC BY.

FeatureValueSinceSource
Structured outputsThe model can be held to a JSON schema you supply, so every reply parses without retries or cleanup.Supportedin place when tracking began (October 6, 2026)source
Function callingAlso called tool use. You describe functions; the model replies with a function name and arguments for your code to run, then uses the result.Supportedin place when tracking began (October 6, 2026)source
Batch APISend many requests as one job that runs in the background, usually finished within 24 hours, at a lower price than live requests.Supportedin place when tracking began (October 6, 2026)source
Image inputImages such as screenshots, photos and charts can go in the prompt for the model to read.Supportedin place when tracking began (October 6, 2026)source
PDF inputPDF files can go in the prompt directly, without converting them to text first.Supportedin place when tracking began (October 6, 2026)source
Reasoning / thinkingThe model can work through a problem step by step before it answers: usually better answers to hard questions, at the cost of more tokens and time.Supportedfirst seen October 7, 2026source
Context windowThe most the model can work with in one request, in tokens: your prompt, conversation history and files. A token is about three-quarters of an English word.1,000,000 tokensin place when tracking began (October 6, 2026)source

Not published by Mistral: Prompt caching, Fine-tuning, Built-in web search, temperature parameter, top_p parameter, logprobs, Max output tokens.

Price history

USD per 1M tokens, standard tier
$0.00$0.50$1.00$1.50$2.00$2.50Oct 2026In $0.68Out $2.09Oct 6, 2026 to Oct 15, 2026: Input $0.68, Output $2.09
$0.00$0.50$1.00$1.50$2.00$2.50Oct 2026In $0.68Out $2.09Oct 6, 2026 to Oct 15, 2026: Input $0.68, Output $2.09

We started recording this model's prices on Oct 6, 2026. The history grows with each daily check.

Show as a table
FromTypePrice
Oct 6, 2026Input$0.68
Oct 6, 2026Output$2.09

Prices

USD per 1M tokens, every type and band, by tier
TypePrice $/1MIn effect
Standard
input$0.68
cached input$0.07
output$2.09

Changelog

Changes we detected on Mistral's pages
  1. Feature listed

    mistral-large-4: Reasoning / thinking supported

    Info

  2. Added

    Mistral added mistral-large-4

    Info

Related news

Email alerts

Get an email if mistral-large-4 changes

We'll email you the same morning we spot a deprecation notice, a new or moved shutdown date, a price change, or the model leaving Mistral's model list.

No password: one email to confirm, and you can unsubscribe any time. Privacy

Last checked · Sources: Mistral models