Model Comparison

DeepSeek R1 Distill Llama 70B vs Magistral Small 2506

DeepSeek R1 Distill Llama 70B shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while Magistral Small 2506 is better at 1 benchmark (GPQA).

DeepSeek R1 Distill Llama 70B shows notably better performance in the majority of benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

46.6B diff

DeepSeek R1 Distill Llama 70B has 46.6B more parameters than Magistral Small 2506, making it 194.2% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Mistral AI
Magistral Small 2506
24.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
24.0B
Magistral Small 2506

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Tue May 26 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B 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 Distill Llama 70B

MIT

Open weights

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B 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 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.3 years ago

Magistral Small 2506

Jun 10, 2025

11 months ago

4mo newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while DeepSeek R1 Distill Llama 70B'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 Distill Llama 70B's cutoff date.

DeepSeek R1 Distill Llama 70B

Magistral Small 2506

Jun 2025

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Higher AIME 2024 score (86.7% vs 70.7%)
Higher LiveCodeBench score (57.5% vs 51.3%)
Higher GPQA score (68.2% vs 65.2%)

Detailed Comparison

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Magistral Small 2506.

Which is better, DeepSeek R1 Distill Llama 70B or Magistral Small 2506?

DeepSeek R1 Distill Llama 70B shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Llama 70B 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 Distill Llama 70B compare to Magistral Small 2506 in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Magistral Small 2506?

DeepSeek R1 Distill Llama 70B supports 128K tokens and Magistral Small 2506 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 Llama 70B 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 Distill Llama 70B and Magistral Small 2506?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Magistral Small 2506 is developed by Mistral AI.