Model Comparison

DeepSeek-V2.5 vs Magistral Small 2506

Comparing DeepSeek-V2.5 and Magistral Small 2506 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V2.5 and Magistral Small 2506 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

212.0B diff

DeepSeek-V2.5 has 212.0B more parameters than Magistral Small 2506, making it 883.3% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Mistral AI
Magistral Small 2506
24.0Bparameters
236.0B
DeepSeek-V2.5
24.0B
Magistral Small 2506

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Sun May 31 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, 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-V2.5

deepseek

Open weights

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Magistral Small 2506 was released on 2025-06-10.

Magistral Small 2506 is 13 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.1 years ago

Magistral Small 2506

Jun 10, 2025

11 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while DeepSeek-V2.5'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-V2.5's cutoff date.

DeepSeek-V2.5

—

Magistral Small 2506

Jun 2025

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (8,192 tokens)
Mistral AI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Mistral AI
Magistral Small 2506

FAQ

Common questions about DeepSeek-V2.5 vs Magistral Small 2506.

Which is better, DeepSeek-V2.5 or Magistral Small 2506?

DeepSeek-V2.5 (DeepSeek) and Magistral Small 2506 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V2.5 compare to Magistral Small 2506 in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. 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-V2.5 and Magistral Small 2506?

DeepSeek-V2.5 supports 8K 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-V2.5 and Magistral Small 2506?

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

Who makes DeepSeek-V2.5 and Magistral Small 2506?

DeepSeek-V2.5 is developed by DeepSeek and Magistral Small 2506 is developed by Mistral AI.