Model Comparison

DeepSeek VL2 Small vs Ministral 3 (8B Reasoning 2512)

Comparing DeepSeek VL2 Small and Ministral 3 (8B Reasoning 2512) across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Small and Ministral 3 (8B Reasoning 2512) 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
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Small
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

8.0B diff

DeepSeek VL2 Small has 8.0B more parameters than Ministral 3 (8B Reasoning 2512), making it 100.0% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
16.0B
DeepSeek VL2 Small
8.0B
Ministral 3 (8B Reasoning 2512)

Context Window

Maximum input and output token capacity

Only Ministral 3 (8B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Small and Ministral 3 (8B Reasoning 2512) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2 Small

Text
Images
Audio
Video

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Ministral 3 (8B Reasoning 2512) uses Apache 2.0.

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

DeepSeek VL2 Small

deepseek

Open weights

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.

Ministral 3 (8B Reasoning 2512) is 12 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.3 years ago

Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

4 months ago

11mo 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

Outputs Comparison

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Key Takeaways

DeepSeek
Mistral AI
Larger context window (262,100 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Small
Mistral AI
Ministral 3 (8B Reasoning 2512)

FAQ

Common questions about DeepSeek VL2 Small vs Ministral 3 (8B Reasoning 2512)

DeepSeek VL2 Small (DeepSeek) and Ministral 3 (8B Reasoning 2512) (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 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%.
DeepSeek VL2 Small supports an unknown number of tokens and Ministral 3 (8B Reasoning 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 Small is developed by DeepSeek and Ministral 3 (8B Reasoning 2512) is developed by Mistral AI.