Model Comparison

DeepSeek VL2 vs Devstral Medium

Comparing DeepSeek VL2 and Devstral Medium across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Devstral Medium don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Devstral Medium's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Devstral Medium is limited to 128,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Mistral AI
Devstral Medium
Input128,000 tokens
Output128,000 tokens
Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Devstral Medium does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

Devstral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Devstral Medium uses a proprietary license.

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

DeepSeek VL2

deepseek

Open weights

Devstral Medium

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Devstral Medium was released on 2025-07-10.

Devstral Medium is 7 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

Devstral Medium

Jul 10, 2025

10 months ago

6mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek VL2 is available from Replicate. Devstral Medium is available from Mistral AI.

DeepSeek VL2

replicate logo
Replicate

Devstral Medium

mistral logo
Mistral
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
Supports multimodal inputs
Has open weights
Mistral AI

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Mistral AI
Devstral Medium

FAQ

Common questions about DeepSeek VL2 vs Devstral Medium.

Which is better, DeepSeek VL2 or Devstral Medium?

DeepSeek VL2 (DeepSeek) and Devstral Medium (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 VL2 compare to Devstral Medium in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Devstral Medium scores SWE-Bench Verified: 61.6%.

What are the context window sizes for DeepSeek VL2 and Devstral Medium?

DeepSeek VL2 supports 129K tokens and Devstral Medium supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 and Devstral Medium?

Key differences include context window (129K vs 128K), multimodal support (yes vs no), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Devstral Medium?

DeepSeek VL2 is developed by DeepSeek and Devstral Medium is developed by Mistral AI.