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Mistral AIMistral Large 3

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

Token context
262K tokens
Inputs
Text, Image, Document
Outputs
Text
Released
Dec 2, 2025

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #28 of 57

  1. 100.0*Claude Opus 5.5
  2. 99.0Claude Fable 5.1
  3. 90.9*GPT-5.5 Pro
  4. 90.0Gemini 3.8 Flash
  5. 85.9GPT-6.1 Sol
  6. 84.6GPT-6 Astra
  7. 83.4*Qwen3.8 Max
  8. 83.3*DeepSeek V4.1 Flash
  9. 82.1Gemini 3.1 Pro
  10. 77.3GPT-5.6 Terra
  11. 74.0*Grok 4.7
  12. 73.5*ERNIE 5.1
  13. 73.3Kimi K3
  14. 71.9*GLM 5.3
  15. 67.5*Qwen3.8 Flash
  16. 64.3*Grok 4.20 Multi Agent
  17. 63.3*Qwen3.7 Plus
  18. 63.1*Claude Sonnet 5
  19. 57.9*DeepSeek V4 Pro
  20. 56.2*GLM 5.3 Flash
  21. 54.6*Mistral Large 4
  22. 54.3*Gemma 4 31B
  23. 52.2Qwen3.8 27B
  24. 50.5*Qwen3.5 397B A17B
  25. 50.1*Hy3
  26. 47.4*Gemma 4 26B A4B
  27. 47.4Inkling
  28. 43.0*Mistral Large 3
  29. 42.3GPT-6 Luna
  30. 37.8*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  31. 35.2*Inkling Small
  32. 33.9*MiniMax M3
  33. 27.0*Kimi K2.7 Code
  34. 25.1*Grok Build 0.1
  35. 20.8GPT-5.4 Mini
  36. 17.8Gemini 3.5 Flash Lite
  37. 17.2*Qwen3.5 35B A3B
  38. 15.7GPT-5.4 Nano
  39. 12.8*Muse Glimmer 30B
  40. 11.7*Solar Pro 4
  41. 9.3*Claude Haiku 4.5
  42. 0.4*DeepSeek R1
  43. 0.0*Olmo 3 32B Think
  44. 0.0*Nova 2 Lite
  45. 0.0*Command A
  46. 0.0*Granite 4.2 30B
  47. 0.0*Granite 4.2 3B
  48. 0.0*Granite 4.2 8B
  49. 0.0*Llama 4 Maverick 17B 128E Instruct
  50. 0.0*Llama 4 Scout 17B 16E Instruct
  51. 0.0*phi-4
  52. 0.0*NVIDIA Nemotron 3 Nano 30B A3B BF16
  53. 0.0*NVIDIA Nemotron 3.5 Lightning 30B A3B
  54. 0.0*GPT-4o
  55. 0.0*GPT-4o Mini
  56. 0.0*gpt-oss-120b
  57. 0.0*gpt-oss-20b
* Provisional: fewer than 3 sources
View full ranking →

Cost

Not ranked in current cohort

Cost not rankedPublished LiveBench output tokens and a current USD output rate are both required.
View full ranking →

Efficiency

Not ranked in current cohort

Efficiency not rankedBoth an eligible intelligence score and a comparable cost estimate are required.
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks Mistral Large 3. Each available panel preserves its real rank and value; missing benchmark or pricing inputs remain explicitly unranked.

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$0.50$1.50$0.050—Aug 29, 2026Provider-reported
$0.50$1.50$0.050—Oct 19, 2026Provider-reported
$0.25$0.75$0.025—Oct 19, 2026Provider-reported

Benchmarks

All benchmark results →
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e1,428.16rating—84,205mistral-large-3; 95% CI [1425.33671505, 1430.99053174]; votes 84205; rank 98unknownOriginal sourcewinner eligibleThird-party benchmark
LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e1,220.76rating—8,643mistral-large-3; 95% CI [1212.81813492, 1228.69335345]; votes 8643; rank 83unknownOriginal sourcewinner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb261.78points2,03150Mistral Large 3 (no thinking)average per caseOriginal sourcenot winner 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

Token context
262K tokens
Maximum output
Unknown
Total parameters
675B
Active parameters
41B
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 developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public 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

Mistral Large 3 | Mistral DocsMistral AI · observed Aug 29, 2026Mistral Large 3 API pricing | Mistral DocsMistral AI · observed Sep 3, 2026Openrouter catalogOpenrouter · observed Oct 19, 2026

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 262K-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 675B total parameters and 41B 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 $0.25 per million input tokens through Openrouter and $0.75 per million output tokens through Openrouter. 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, Mistral Large 4, Llama 4 Maverick 17B 128E Instruct, Command A Plus 05 2026 BF16, and GLM 5.3 Flash. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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