Model Comparison

DeepSeek VL2 vs Mistral Small

Comparing DeepSeek VL2 and Mistral Small across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Mistral Small 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

5.0B diff

DeepSeek VL2 has 5.0B more parameters than Mistral Small, making it 22.7% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Mistral AI
Mistral Small
22.0Bparameters
27.0B
DeepSeek VL2
22.0B
Mistral Small

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Mistral Small's 32,768 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Mistral Small is limited to 32,768 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Mistral Small 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

Mistral Small

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Mistral Small uses Mistral Research License.

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

DeepSeek VL2

deepseek

Open weights

Mistral Small

Mistral Research License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Mistral Small was released on 2024-09-17.

DeepSeek VL2 is 3 months newer than Mistral Small.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

2mo newer
Mistral Small

Sep 17, 2024

1.7 years ago

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. Mistral Small is available from Mistral AI.

DeepSeek VL2

replicate logo
Replicate

Mistral Small

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

FAQ

Common questions about DeepSeek VL2 vs Mistral Small.

Which is better, DeepSeek VL2 or Mistral Small?

DeepSeek VL2 (DeepSeek) and Mistral Small (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 Mistral Small in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%.

What are the context window sizes for DeepSeek VL2 and Mistral Small?

DeepSeek VL2 supports 129K tokens and Mistral Small supports 33K 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 Mistral Small?

Key differences include context window (129K vs 33K), multimodal support (yes vs no), licensing (deepseek vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Mistral Small?

DeepSeek VL2 is developed by DeepSeek and Mistral Small is developed by Mistral AI.