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MiniMaxM3

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MiniMax-M3 is an open-weight vision-language model published by MiniMax.

Token context
1,049K tokens
Inputs
Text, Image
Outputs
Text
Released
Jun 1, 2026

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #32 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 #3 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 #15 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 MiniMax M3. 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
$0.28$1.10$0.056—Oct 19, 2026Provider-reported
$0.30$1.20$0.060—Aug 28, 2026Provider-reported

Benchmarks

All benchmark results →
LiveBench2026-06-25-90f8d44da96570.26percent15,5301,270minimax-m3average per caseRecomputedwinner eligibleThird-party benchmark
LMArena Document Arenadocument-2026-09-13-a64ca3b12b6e1,434.79rating—6,314minimax-m3; 95% CI [1426.53255805, 1443.05504941]; votes 6314; rank 32unknownOriginal sourcewinner eligibleThird-party benchmark
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e1,433.33rating—63,973minimax-m3; 95% CI [1429.51159020, 1437.14164071]; votes 63973; rank 91unknownOriginal sourcewinner eligibleThird-party benchmark
LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e1,253.11rating—19,026minimax-m3; 95% CI [1246.68252453, 1259.53765792]; votes 19026; rank 60unknownOriginal sourcewinner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb274.79points31,77750MiniMax M3 (thinking on)average per caseOriginal sourcenot winner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
MiniMaxAI/MiniMax-M3
Released
Jun 1, 2026
Version
MiniMax-M3
License
other

Capacity

Token context
1,049K tokens
Maximum output
Unknown
Total parameters
427B
Active parameters
23B
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text, Image
Outputs
Text
API available
Yes
Open weights
Yes
Self-hostable
Yes
Reasoning
Yes
Vision
Yes
Tool calling
Yes
Capabilities
chat, generation, reasoning, tools

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
AliasesMiniMaxAI/MiniMax-M3, MiniMaxAI/MiniMax-M3

Explicit Unknowns

  • Maximum output
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

MiniMaxAI/MiniMax-M3 developer model repositoryMiniMax · observed Aug 28, 2026MiniMaxAI/MiniMax-M3 README.md at f0e1c1e04d40MiniMax · observed Aug 28, 2026Deepinfra catalogDeepinfra · observed Oct 19, 2026OpenRouter minimax/minimax-m3 model APIOpenRouter · observed Aug 28, 2026MiniMaxAI/MiniMax-M3 Hugging Face inference-provider mappingHugging Face · observed Aug 28, 2026MiniMaxAI/MiniMax-M3 config.json at f0e1c1e04d40MiniMax · observed Aug 28, 2026MiniMaxAI/MiniMax-M3 immutable Hub API metadataMiniMax · observed Aug 28, 2026MiniMax M3: Frontier Coding, 1M Context, Native MultimodalityMiniMax · observed Aug 28, 2026MiniMaxAI/MiniMax-M3 tokenizer_config.json at f0e1c1e04d40MiniMax · observed Aug 28, 2026Fireworks Ai catalogFireworks Ai · observed Oct 19, 2026Hugging Face catalogHugging Face · observed Sep 2, 2026Together Ai catalogTogether Ai · observed Oct 19, 2026

Comparable Peers

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Questions

MiniMax M3 FAQs

What is MiniMax M3?+

MiniMax-M3 is an open-weight vision-language model published by MiniMax. It is developed by MiniMax and its current sourced lifecycle status is active.

What inputs and outputs does MiniMax M3 support?+

MiniMax M3's current record lists Text and Image as input and Text as output.

How much context does MiniMax M3 support?+

The current record lists a 1,049K-token context window and does not report a maximum output length.

Is MiniMax M3 available through an API?+

MiniMax M3 is marked as API-available. The directly sourced provider records currently include Deepinfra, Fireworks Ai, Hugging Face, Openrouter, and Together Ai.

How large is MiniMax M3?+

The current record lists 427B total parameters and 23B active parameters. Its architecture is MiniMaxM3SparseForConditionalGeneration.

What capabilities and tasks does MiniMax M3 support?+

MiniMax M3's recorded capabilities are chat, generation, reasoning, and tools. Its supported tasks are image and text.

How much does MiniMax M3 cost through an API?+

The lowest directly sourced prices currently attached to MiniMax M3 are $0.28 per million input tokens through Deepinfra and $1.10 per million output tokens through Deepinfra. Prices are provider-specific and should be checked against each cited observation date.

Can MiniMax M3 be self-hosted?+

MiniMax M3 is an open-weight model. Self-hosting is supported, and the recorded license is other.

Does MiniMax M3 have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are MiniMaxAI/MiniMax-M3.

Which models can MiniMax M3 be compared with?+

The current compatible peer set includes MiniMax M2.7, DeepSeek V4.1 Flash, Hy4 preview, MiMo V2.6 Pro, and Antigravity Agent. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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