Model Comparison

MiniMax M2 vs Mistral Large 2

Comparing MiniMax M2 and Mistral Large 2 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MiniMax M2 and Mistral Large 2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2 costs less

For input processing, MiniMax M2 ($0.30/1M tokens) is 6.7x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, MiniMax M2 ($1.20/1M tokens) is 5.0x cheaper than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Mistral Large 2 is more expensive than MiniMax M2.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 08 2026 • llm-stats.com
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
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Model Size

Parameter count comparison

107.0B diff

MiniMax M2 has 107.0B more parameters than Mistral Large 2, making it 87.0% larger.

MiniMax
MiniMax M2
230.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
230.0B
MiniMax M2
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

MiniMax M2 accepts 1,000,000 input tokens compared to Mistral Large 2's 128,000 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while Mistral Large 2 is limited to 128,000 tokens.

MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Fri May 08 2026 • llm-stats.com

License

Usage and distribution terms

MiniMax M2 is licensed under MIT, while Mistral Large 2 uses Mistral Research License.

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

MiniMax M2

MIT

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

MiniMax M2 was released on 2025-10-27, while Mistral Large 2 was released on 2024-07-24.

MiniMax M2 is 15 months newer than Mistral Large 2.

MiniMax M2

Oct 27, 2025

6 months ago

1.3yr newer
Mistral Large 2

Jul 24, 2024

1.8 years ago

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

Provider Availability

MiniMax M2 is available from MiniMax, Novita. Mistral Large 2 is available from Google, Mistral AI.

MiniMax M2

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

MiniMax
Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Mistral AI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
MiniMax
MiniMax M2
Mistral AI
Mistral Large 2

FAQ

Common questions about MiniMax M2 vs Mistral Large 2.

Which is better, MiniMax M2 or Mistral Large 2?

MiniMax M2 (MiniMax) and Mistral Large 2 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MiniMax M2 compare to Mistral Large 2 in benchmarks?

MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is MiniMax M2 cheaper than Mistral Large 2?

MiniMax M2 is 6.7x cheaper for input tokens. MiniMax M2 costs $0.30/M input and $1.20/M output via minimax. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.

What are the context window sizes for MiniMax M2 and Mistral Large 2?

MiniMax M2 supports 1.0M tokens and Mistral Large 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M2 and Mistral Large 2?

Key differences include context window (1.0M vs 128K), input pricing ($0.30 vs $2.00/M), licensing (MIT vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M2 and Mistral Large 2?

MiniMax M2 is developed by MiniMax and Mistral Large 2 is developed by Mistral AI.