Model Comparison

MiniMax M2.7 vs Mistral Medium 3.5Which is better in 2026?

Both models are evenly matched across the benchmarks. MiniMax M2.7 is 5.7x cheaper per token.

Verdict: MiniMax M2.7 vs Mistral Medium 3.5 — which is better?

MiniMax M2.7 (by MiniMax) and Mistral Medium 3.5 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

MiniMax M2.7 outperforms in 1 benchmarks (GDPval-AA), while Mistral Medium 3.5 is better at 1 benchmark (Finance Agent v2). Both models are evenly matched across the benchmarks.

On price, MiniMax M2.7 is roughly 5.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Medium 3.5 also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose MiniMax M2.7 if…

  • cost matters — it's about 5.7x cheaper per token

Choose Mistral Medium 3.5 if…

  • you process long inputs — it offers a 256,000 token context window
  • you want the most recent training data — it shipped Apr 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

MiniMax M2.7 outperforms in 1 benchmarks (GDPval-AA), while Mistral Medium 3.5 is better at 1 benchmark (Finance Agent v2).

Both models are evenly matched across the benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.7 costs less

For input processing, MiniMax M2.7 ($0.30/1M tokens) is 5.0x cheaper than Mistral Medium 3.5 ($1.50/1M tokens).

For output processing, MiniMax M2.7 ($1.20/1M tokens) is 6.3x cheaper than Mistral Medium 3.5 ($7.50/1M tokens).

In conclusion, Mistral Medium 3.5 is more expensive than MiniMax M2.7.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
MiniMax
MiniMax M2.7
Input tokens$0.30
Output tokens$1.20
Best providerFireworks
Mistral AI
Mistral Medium 3.5
Input tokens$1.50
Output tokens$7.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Mistral Medium 3.5 accepts 256,000 input tokens compared to MiniMax M2.7's 196,608 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while MiniMax M2.7 is limited to 196,608 tokens.

MiniMax
MiniMax M2.7
Input196,608 tokens
Output196,608 tokens
Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Medium 3.5 supports multimodal inputs, whereas MiniMax M2.7 does not.

Mistral Medium 3.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M2.7

Text
Images
Audio
Video

Mistral Medium 3.5

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M2.7 is licensed under MIT, while Mistral Medium 3.5 uses Modified MIT License.

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

MiniMax M2.7

MIT

Open weights

Mistral Medium 3.5

Modified MIT License

Open weights

Release Timeline

When each model was launched

MiniMax M2.7 was released on 2026-03-18, while Mistral Medium 3.5 was released on 2026-04-29.

Mistral Medium 3.5 is 1 month newer than MiniMax M2.7.

MiniMax M2.7

Mar 18, 2026

4 months ago

Mistral Medium 3.5

Apr 29, 2026

2 months ago

1mo 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

Provider Availability

MiniMax M2.7 is available from Fireworks, MiniMax, Novita. Mistral Medium 3.5 is available from Mistral AI.

MiniMax M2.7

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
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 Medium 3.5

mistral logo
Mistral
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

MiniMax
Less expensive input tokens
Less expensive output tokens
Higher GDPval-AA score (39.3% vs 30.9%)
Mistral AI
Larger context window (256,000 tokens)
Supports multimodal inputs
Higher Finance Agent v2 score (32.1% vs 27.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiniMax M2.7 and Mistral Medium 3.5 side-by-side, then vote on the output you prefer.

MiniMax M2.7
✓ Preferred
Mistral Medium 3.5
Open in Playground
AI Model Comparison Table
Feature
MiniMax
MiniMax M2.7
Mistral AI
Mistral Medium 3.5

FAQ

Common questions about MiniMax M2.7 vs Mistral Medium 3.5.

Which is better, MiniMax M2.7 or Mistral Medium 3.5?

Both models are evenly matched across the benchmarks. MiniMax M2.7 is made by MiniMax and Mistral Medium 3.5 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MiniMax M2.7 compare to Mistral Medium 3.5 in benchmarks?

MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%. Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%.

Is MiniMax M2.7 cheaper than Mistral Medium 3.5?

MiniMax M2.7 is 5.0x cheaper for input tokens. MiniMax M2.7 costs $0.30/M input and $1.20/M output via fireworks. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral.

What are the context window sizes for MiniMax M2.7 and Mistral Medium 3.5?

MiniMax M2.7 supports 197K tokens and Mistral Medium 3.5 supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MiniMax M2.7 and Mistral Medium 3.5?

Key differences include context window (197K vs 256K), input pricing ($0.30 vs $1.50/M), multimodal support (no vs yes), licensing (MIT vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M2.7 and Mistral Medium 3.5?

MiniMax M2.7 is developed by MiniMax and Mistral Medium 3.5 is developed by Mistral AI.

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