Model Comparison

DeepSeek R1 Distill Qwen 32B vs Magistral Medium

DeepSeek R1 Distill Qwen 32B shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while Magistral Medium is better at 1 benchmark (GPQA).

DeepSeek R1 Distill Qwen 32B shows notably better performance in the majority of benchmarks.

Fri May 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

8.8B diff

DeepSeek R1 Distill Qwen 32B has 8.8B more parameters than Magistral Medium, making it 36.7% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Mistral AI
Magistral Medium
24.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
24.0B
Magistral Medium

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Fri May 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Magistral Medium supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.

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

DeepSeek R1 Distill Qwen 32B

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B 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 R1 Distill Qwen 32B

MIT

Open weights

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Magistral Medium was released on 2025-06-10.

Magistral Medium is 5 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.3 years ago

Magistral Medium

Jun 10, 2025

11 months ago

4mo newer

Knowledge Cutoff

When training data ends

Magistral Medium has a documented knowledge cutoff of 2025-06-01, while DeepSeek R1 Distill Qwen 32B'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 R1 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

Magistral Medium

Jun 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Higher AIME 2024 score (83.3% vs 73.6%)
Higher LiveCodeBench score (57.2% vs 50.3%)
Supports multimodal inputs
Higher GPQA score (70.8% vs 62.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
Mistral AI
Magistral Medium

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Magistral Medium.

Which is better, DeepSeek R1 Distill Qwen 32B or Magistral Medium?

DeepSeek R1 Distill Qwen 32B shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 32B 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 R1 Distill Qwen 32B compare to Magistral Medium in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. 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 R1 Distill Qwen 32B and Magistral Medium?

DeepSeek R1 Distill Qwen 32B supports 128K 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 R1 Distill Qwen 32B 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 R1 Distill Qwen 32B and Magistral Medium?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Magistral Medium is developed by Mistral AI.