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Mistral AIMistral Large 4

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Mistral Large 4 is Mistral's public-preview multimodal mixture-of-experts model with a 1 million-token context and 52 billion active parameters. Its API supports chat, tools, structured outputs, and document questions.

Token context
1,000K tokens
Inputs
Text, Image, Document
Outputs
Text
Released
Oct 6, 2026

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #21 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

Rank #9 of 27

  1. $0.0020Grok Build 0.1
  2. $0.0087GLM 5.3 Flash
  3. $0.017MiniMax M3
  4. $0.018GPT-6 Luna
  5. $0.021Qwen3.8 Flash
  6. $0.022DeepSeek V4.1 Flash
  7. $0.029Gemini 3.5 Flash Lite
  8. $0.044Kimi K2.7 Code
  9. $0.054Mistral Large 4
  10. $0.054DeepSeek V4 Pro
  11. $0.058GPT-5.4 Nano
  12. $0.063Qwen3.8 27B
  13. $0.090Inkling
  14. $0.092NVIDIA Nemotron 3 Ultra 550B A55B BF16
  15. $0.104GPT-6.1 Sol
  16. $0.107Qwen3.8 Max
  17. $0.160Gemini 3.8 Flash
  18. $0.161Gemini 3.1 Pro
  19. $0.163Kimi K3
  20. $0.194Claude Sonnet 5
  21. $0.214GPT-5.4 Mini
  22. $0.248GLM 5.3
  23. $0.266GPT-5.6 Terra
  24. $0.341Grok 4.7
  25. $0.512Claude Opus 5.5
  26. $0.520GPT-6 Astra
  27. $0.824Claude Fable 5.1
View full ranking →

Efficiency

Rank #13 of 27

  1. 71.7*DeepSeek V4.1 Flash
  2. 65.8*GLM 5.3 Flash
  3. 64.2*Qwen3.8 Flash
  4. 62.5*Grok Build 0.1
  5. 60.1GPT-6.1 Sol
  6. 58.6*Qwen3.8 Max
  7. 58.5Gemini 3.8 Flash
  8. 54.6Gemini 3.1 Pro
  9. 53.9*Claude Opus 5.5
  10. 52.8GPT-6 Luna
  11. 51.5*DeepSeek V4 Pro
  12. 50.1Kimi K3
  13. 49.9*Mistral Large 4
  14. 49.5Claude Fable 5.1
  15. 49.0*MiniMax M3
  16. 48.0GPT-5.6 Terra
  17. 47.3Qwen3.8 27B
  18. 46.1GPT-6 Astra
  19. 45.9*GLM 5.3
  20. 44.3*Grok 4.7
  21. 43.5*Claude Sonnet 5
  22. 42.0Inkling
  23. 37.8*Kimi K2.7 Code
  24. 37.1*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  25. 36.6Gemini 3.5 Flash Lite
  26. 29.9GPT-5.4 Nano
  27. 21.6GPT-5.4 Mini
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks Mistral Large 4. 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
$0.68$2.09$0.070—Oct 6, 2026Provider-reported

Benchmarks

All benchmark results →
LiveBench2026-06-25-90f8d44da96576.67percent25,6991,270mistral-large-4-highaverage per caseRecomputedwinner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
preview
Developer ID
mistral-large-4
Released
Oct 6, 2026
Version
Mistral Large 4
License
Unknown

Capacity

Token context
1,000K tokens
Maximum output
Unknown
Total parameters
1.05T
Active parameters
52B
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text, Image, Document
Outputs
Text
API available
Yes
Open weights
Unknown
Self-hostable
Unknown
Reasoning
Unknown
Vision
Yes
Tool calling
Yes
Capabilities
agents, chat, generation, structured outputs, tools, vision

Technical Specifications

Vision encoder parameters
1,600,000,000 parameters
Publisher version
v26.10
Weights
Mistral announced a later October release; no download or license is linked yet

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-4, mistral-large-4

Explicit Unknowns

  • Maximum output
  • Tokenizer
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

Mistral Large 4 | Mistral DocsMistral AI · observed Oct 8, 2026Mistral Large 4 standard API pricing | Mistral DocsMistral AI · observed Oct 6, 2026

Comparable Peers

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Questions

Mistral Large 4 FAQs

What is Mistral Large 4?+

Mistral Large 4 is Mistral's public-preview multimodal mixture-of-experts model with a 1 million-token context and 52 billion active parameters. Its API supports chat, tools, structured outputs, and document questions. It is developed by Mistral AI and its current sourced lifecycle status is preview.

What inputs and outputs does Mistral Large 4 support?+

Mistral Large 4's current record lists Text, Image, and Document as input and Text as output.

How much context does Mistral Large 4 support?+

The current record lists a 1,000K-token context window and does not report a maximum output length.

What technical specifications are published for Mistral Large 4?+

Mistral Large 4's developer-published specifications include vision encoder parameters: 1600000000 parameters; publisher version: v26.10; weights: Mistral announced a later October release; no download or license is linked yet.

How large is Mistral Large 4?+

The current record lists 1.05T total parameters and 52B active parameters. Its architecture is mixture_of_experts.

What capabilities and tasks does Mistral Large 4 support?+

Mistral Large 4's recorded capabilities are agents, chat, generation, structured outputs, tools, and vision. Its supported tasks are document-question-answering, image, and text.

Is Mistral Large 4 available through an API?+

Mistral Large 4 is marked as API-available. The directly sourced provider records currently include Mistral AI.

How much does Mistral Large 4 cost through an API?+

The lowest directly sourced prices currently attached to Mistral Large 4 are $0.68 per million input tokens through Mistral AI and $2.09 per million output tokens through Mistral AI. Prices are provider-specific and should be checked against each cited observation date.

Can Mistral Large 4 be self-hosted?+

Mistral Large 4 is not marked as an open-weight model. Self-hosting is not established by the current source, with no license recorded.

Does Mistral Large 4 have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are mistral-large-4.

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