Model Comparison

DeepSeek-V2.5 vs Magistral MediumWhich is better in 2026?

Comparing DeepSeek-V2.5 and Magistral Medium across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V2.5 vs Magistral Medium — which is better?

DeepSeek-V2.5 (by DeepSeek) and Magistral Medium (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.

Choose DeepSeek-V2.5 if…

  • you want predictable pricing at $0.14/M input and $0.28/M output

Choose Magistral Medium if…

  • you want the most recent training data — it shipped Jun 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V2.5 and Magistral Mediumdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

212.0B diff

DeepSeek-V2.5 has 212.0B more parameters than Magistral Medium, making it 883.3% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Mistral AI
Magistral Medium
24.0Bparameters
236.0B
DeepSeek-V2.5
24.0B
Magistral Medium

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Fri Jun 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Magistral Medium supports multimodal inputs, whereas DeepSeek-V2.5 does not.

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

DeepSeek-V2.5

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Magistral Medium uses Apache 2.0.

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

DeepSeek-V2.5

deepseek

Open weights

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Magistral Medium was released on 2025-06-10.

Magistral Medium is 13 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.1 years ago

Magistral Medium

Jun 10, 2025

1.0 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

Magistral Medium has a documented knowledge cutoff of 2025-06-01, while DeepSeek-V2.5's cutoff date is not specified.

We can confirm Magistral Medium's training data extends to 2025-06-01, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.

DeepSeek-V2.5

Magistral Medium

Jun 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (8,192 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V2.5 and Magistral Medium side-by-side, then vote on the output you prefer.

DeepSeek-V2.5
✓ Preferred
Magistral Medium
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Mistral AI
Magistral Medium

FAQ

Common questions about DeepSeek-V2.5 vs Magistral Medium.

Which is better, DeepSeek-V2.5 or Magistral Medium?

DeepSeek-V2.5 (DeepSeek) and Magistral Medium (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 DeepSeek-V2.5 compare to Magistral Medium in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.

What are the context window sizes for DeepSeek-V2.5 and Magistral Medium?

DeepSeek-V2.5 supports 8K tokens and Magistral Medium supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V2.5 and Magistral Medium?

Key differences include multimodal support (no vs yes), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and Magistral Medium?

DeepSeek-V2.5 is developed by DeepSeek and Magistral Medium is developed by Mistral AI.