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DeepSeek R1 Zero vs Magistral Small 2506

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek R1 Zero outperforms in 2 benchmarks (AIME 2024, GPQA), while Magistral Small 2506 is better at 1 benchmark (LiveCodeBench). DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

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

Choose DeepSeek R1 Zero

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Choose Magistral Small 2506

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

At a glance

The differences that matter most.

Benchmark wins
2 of 3
1 of 3
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Jan 2025
Jun 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Zero outperforms in 2 benchmarks (AIME 2024, GPQA), while Magistral Small 2506 is better at 1 benchmark (LiveCodeBench).

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

647.0B diff

DeepSeek R1 Zero has 647.0B more parameters than Magistral Small 2506, making it 2695.8% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
Mistral AI
Magistral Small 2506
24.0Bparameters
671.0B
DeepSeek R1 Zero
24.0B
Magistral Small 2506

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while Magistral Small 2506 uses Apache 2.0.

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

DeepSeek R1 Zero

MIT

Open weights

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while Magistral Small 2506 was released on 2025-06-10.

Magistral Small 2506 is 5 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

Magistral Small 2506

Jun 10, 2025

1.2 years ago

4mo newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.

DeepSeek R1 Zero

Magistral Small 2506

Jun 2025

Outputs Comparison

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Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and Magistral Small 2506 side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
Magistral Small 2506
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs Magistral Small 2506.

Which is better, DeepSeek R1 Zero or Magistral Small 2506?

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks. DeepSeek R1 Zero is made by DeepSeek and Magistral Small 2506 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 Zero compare to Magistral Small 2506 in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the main differences between DeepSeek R1 Zero and Magistral Small 2506?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Magistral Small 2506?

DeepSeek R1 Zero is developed by DeepSeek and Magistral Small 2506 is developed by Mistral AI.