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MiniMax M1 40K vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 20.5.

MiniMax · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 20.5, ranking #34 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiniMax M1 40K

  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

MiniMax M1 40K
MiniMax
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
20.5
#210
46.2
#34
Reasoning
20.7
#199
44.0
#43
Coding
8.0
#197
35.8
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
MiniMax M1 40K
Mistral Large 4
Tool use
12.9#112
27.1#26
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for MiniMax M1 40K · 18 for Mistral Large 4

No common benchmarks found

MiniMax M1 40K and Mistral Large 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

594.0B diff

Mistral Large 4 has 594.0B more parameters than MiniMax M1 40K, making it 130.3% larger.

MiniMax
MiniMax M1 40K
456.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
456.0B
MiniMax M1 40K
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas MiniMax M1 40K does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M1 40K

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M1 40K is licensed under MIT, while Mistral Large 4 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

MiniMax M1 40K

MIT

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

MiniMax M1 40K was released on 2025-06-16, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 16 months newer than MiniMax M1 40K.

MiniMax M1 40K

Jun 16, 2025

1.3 years ago

Mistral Large 4

Oct 6, 2026

2 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against MiniMax M1 40K and Mistral Large 4 side-by-side, then vote on the output you prefer.

MiniMax M1 40K
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about MiniMax M1 40K vs Mistral Large 4.

Which is better, MiniMax M1 40K or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 20.5. MiniMax M1 40K is made by MiniMax and Mistral Large 4 is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiniMax M1 40K compare to Mistral Large 4 in benchmarks?

MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

What are the context window sizes for MiniMax M1 40K and Mistral Large 4?

MiniMax M1 40K supports an unknown number of tokens and Mistral Large 4 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M1 40K and Mistral Large 4?

Key differences include LLM Stats Score (20.5 vs 46.2), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M1 40K and Mistral Large 4?

MiniMax M1 40K is developed by MiniMax and Mistral Large 4 is developed by Mistral AI.

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