Model Comparison

DeepSeek VL2 vs Devstral Small 1.1

Comparing DeepSeek VL2 and Devstral Small 1.1 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Devstral Small 1.1 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

3.0B diff

DeepSeek VL2 has 3.0B more parameters than Devstral Small 1.1, making it 12.5% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Mistral AI
Devstral Small 1.1
24.0Bparameters
27.0B
DeepSeek VL2
24.0B
Devstral Small 1.1

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Devstral Small 1.1's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Devstral Small 1.1 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 Small 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Devstral Small 1.1 uses Apache 2.0.

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

DeepSeek VL2

deepseek

Open weights

Devstral Small 1.1

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Devstral Small 1.1 was released on 2025-07-11.

Devstral Small 1.1 is 7 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

Devstral Small 1.1

Jul 11, 2025

9 months ago

7mo 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 Small 1.1 is available from Mistral AI.

DeepSeek VL2

replicate logo
Replicate

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Mistral AI
Devstral Small 1.1

FAQ

Common questions about DeepSeek VL2 vs Devstral Small 1.1

DeepSeek VL2 (DeepSeek) and Devstral Small 1.1 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Devstral Small 1.1 scores SWE-Bench Verified: 53.6%.
DeepSeek VL2 supports 129K tokens and Devstral Small 1.1 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (129K vs 128K), multimodal support (yes vs no), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 is developed by DeepSeek and Devstral Small 1.1 is developed by Mistral AI.