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DeepSeek-V4-Pro-0813 vs Magistral Small 2506

Comparing DeepSeek-V4-Pro-0813 and Magistral Small 2506 across benchmarks, pricing, and capabilities.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Magistral Small 2506 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose DeepSeek-V4-Pro-0813

  • you want the most recent training data — it shipped Aug 2026

Choose Magistral Small 2506

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
Magistral Small 2506
Mistral AI
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Jun 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and Magistral Small 2506don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1576.0B diff

DeepSeek-V4-Pro-0813 has 1576.0B more parameters than Magistral Small 2506, making it 6566.7% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Mistral AI
Magistral Small 2506
24.0Bparameters
1600.0B
DeepSeek-V4-Pro-0813
24.0B
Magistral Small 2506

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 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-V4-Pro-0813

MIT

Open weights

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Magistral Small 2506 was released on 2025-06-10.

DeepSeek-V4-Pro-0813 is 14 months newer than Magistral Small 2506.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

1.2yr newer
Magistral Small 2506

Jun 10, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while DeepSeek-V4-Pro-0813'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-V4-Pro-0813's cutoff date.

DeepSeek-V4-Pro-0813

—

Magistral Small 2506

Jun 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Magistral Small 2506 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Magistral Small 2506
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Magistral Small 2506.

Which is better, DeepSeek-V4-Pro-0813 or Magistral Small 2506?

DeepSeek-V4-Pro-0813 (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-V4-Pro-0813 compare to Magistral Small 2506 in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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-V4-Pro-0813 and Magistral Small 2506?

DeepSeek-V4-Pro-0813 supports 1.0M 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-V4-Pro-0813 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-V4-Pro-0813 and Magistral Small 2506?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Magistral Small 2506 is developed by Mistral AI.

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