Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Magistral Medium

Magistral Medium significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Magistral Medium is better at 3 benchmarks (AIME 2024, GPQA, LiveCodeBench).

Magistral Medium significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Magistral Medium
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

22.2B diff

Magistral Medium has 22.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 1248.3% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Mistral AI
Magistral Medium
24.0Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
24.0B
Magistral Medium

Input Capabilities

Supported data types and modalities

Magistral Medium supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B 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 1.5B

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B 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 1.5B

MIT

Open weights

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B 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 1.5B.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.3 years ago

Magistral Medium

Jun 10, 2025

10 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 1.5B'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 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

—

Magistral Medium

Jun 2025

Outputs Comparison

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Key Takeaways

DeepSeek
Mistral AI
Supports multimodal inputs
Higher AIME 2024 score (73.6% vs 52.7%)
Higher GPQA score (70.8% vs 33.8%)
Higher LiveCodeBench score (50.3% vs 16.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Mistral AI
Magistral Medium

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Magistral Medium

Magistral Medium significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 1.5B 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.
DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.
Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Magistral Medium is developed by Mistral AI.