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DeepSeek-V4-Pro-0813 vs Magistral Medium

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while Magistral Medium is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Choose Magistral Medium

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 of 1
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
Released
Aug 2026
Jun 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while Magistral Medium is better at 0 benchmarks.

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1576.0B diff

DeepSeek-V4-Pro-0813 has 1576.0B more parameters than Magistral Medium, making it 6566.7% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Mistral AI
Magistral Medium
24.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
24.0B
Magistral Medium

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Magistral Medium supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

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

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while Magistral Medium uses Apache 2.0.

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

DeepSeek-V4-Pro-0813

MIT

Open weights

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Magistral Medium was released on 2025-06-10.

DeepSeek-V4-Pro-0813 is 14 months newer than Magistral Medium.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

1.2yr newer
Magistral Medium

Jun 10, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Magistral Medium has a documented knowledge cutoff of 2025-06-01, while DeepSeek-V4-Pro-0813'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-V4-Pro-0813's cutoff date.

DeepSeek-V4-Pro-0813

Magistral Medium

Jun 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Magistral Medium side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Magistral Medium
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Magistral Medium.

Which is better, DeepSeek-V4-Pro-0813 or Magistral Medium?

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. DeepSeek-V4-Pro-0813 is made by DeepSeek and Magistral Medium is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V4-Pro-0813 compare to Magistral Medium in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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-V4-Pro-0813 and Magistral Medium?

DeepSeek-V4-Pro-0813 supports 1.0M 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-V4-Pro-0813 and Magistral Medium?

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

Who makes DeepSeek-V4-Pro-0813 and Magistral Medium?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Magistral Medium is developed by Mistral AI.