Mistral AIMistral Large 3

External Link

Mistral Large 3 is an open-weight multimodal mixture-of-experts model with 675B total and 41B active parameters.

Context
262,144 tokens
Inputs
Text, Image, Document
Outputs
Text
Released
Dec 2, 2025

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$0.50$1.50$0.050Aug 29, 2026Provider-reported
$0.50$1.50$0.050Sep 2, 2026Provider-reported
Mistral Large 3Mistral AILMArena Text Arenatext-2026-09-01-0115087206961,427.62rating65,336mistral-large-3; 95% CI [1424.57601414, 1430.66670291]; votes 65336; rank 85unknownOriginal sourcewinner eligibleThird-party benchmark
Mistral Large 3Mistral AILMArena Vision Arenavision-2026-08-27-0115087206961,226.84rating4,751mistral-large-3; 95% CI [1216.90651393, 1236.78308197]; votes 4751; rank 66unknownOriginal sourcewinner eligibleThird-party benchmark
Mistral Large 3Mistral AIToneBench2026-08-14-10-task70.61points2,01450Mistral Large 3average per caseOriginal sourcewinner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
mistral-large-2512
Released
Dec 2, 2025
Version
Mistral Large 3
License
Apache-2.0

Capacity

Context
262,144 tokens
Maximum output
Unknown
Total parameters
675,000,000,000
Active parameters
41,000,000,000
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text, Image, Document
Outputs
Text
API available
Yes
Open weights
Yes
Self-hostable
Yes
Reasoning
No
Vision
Yes
Tool calling
Yes
Capabilities
agents, chat, generation, structured outputs, tools, vision

This page represents one immutable developer model ID. Serving endpoints, pricing, regions, quantizations, and service tiers attach separately and never create duplicate model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
Aliasesmistral-large-2512, mistral-large-3

Explicit Unknowns

  • Maximum output
  • Tokenizer
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

Comparable Peers

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Questions

Mistral Large 3 FAQs

What is Mistral Large 3?+

Mistral Large 3 is an open-weight multimodal mixture-of-experts model with 675B total and 41B active parameters. It is developed by Mistral AI and its current sourced lifecycle status is active.

What inputs and outputs does Mistral Large 3 support?+

Mistral Large 3's current record lists Text, Image, and Document as input and Text as output.

How much context does Mistral Large 3 support?+

The current record lists a 262,144-token context window and does not report a maximum output length.

Is Mistral Large 3 available through an API?+

Mistral Large 3 is marked as API-available. The directly sourced provider records currently include Mistral AI and Openrouter.

How large is Mistral Large 3?+

The current record lists 675,000,000,000 total parameters and 41,000,000,000 active parameters. Its architecture is mixture_of_experts.

What capabilities and tasks does Mistral Large 3 support?+

Mistral Large 3's recorded capabilities are agents, chat, generation, structured outputs, tools, and vision. Its supported tasks are document-question-answering, image, and text.

How much does Mistral Large 3 cost through an API?+

The lowest directly sourced prices currently attached to Mistral Large 3 are $0.50 per million input tokens through Mistral AI and $1.50 per million output tokens through Mistral AI. Prices are provider-specific and should be checked against each cited observation date.

Can Mistral Large 3 be self-hosted?+

Mistral Large 3 is an open-weight model. Self-hosting is supported, and the recorded license is Apache-2.0.

Does Mistral Large 3 have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are mistral-large-2512 and mistral-large-3.

Which models can Mistral Large 3 be compared with?+

The current compatible peer set includes Hy4 preview, GLM-5.3-Flash, Nova 2 Lite, Mistral-Medium-3.5-128B, and Mistral-Small-4-119B-2603. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons

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