Model Comparison

DeepSeek VL2 Tiny vs Ministral 3 (3B Base 2512)

Comparing DeepSeek VL2 Tiny and Ministral 3 (3B Base 2512) across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and Ministral 3 (3B Base 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
Thu Apr 16 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Tiny
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Ministral 3 (3B Base 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

0.0M diff

Ministral 3 (3B Base 2512) has 0.0B more parameters than DeepSeek VL2 Tiny, making it 0.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Mistral AI
Ministral 3 (3B Base 2512)
3.0Bparameters
3.0B
DeepSeek VL2 Tiny
3.0B
Ministral 3 (3B Base 2512)

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and Ministral 3 (3B Base 2512) support multimodal inputs.

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Ministral 3 (3B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Ministral 3 (3B Base 2512) uses Apache 2.0.

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

DeepSeek VL2 Tiny

deepseek

Open weights

Ministral 3 (3B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

Ministral 3 (3B Base 2512) is 12 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.3 years ago

Ministral 3 (3B Base 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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Mistral AI
Ministral 3 (3B Base 2512)

FAQ

Common questions about DeepSeek VL2 Tiny vs Ministral 3 (3B Base 2512)

DeepSeek VL2 Tiny (DeepSeek) and Ministral 3 (3B Base 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 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Ministral 3 (3B Base 2512) scores MMLU-Redux: 73.5%, MMLU: 70.7%, Multilingual MMLU: 65.2%, MATH (CoT): 60.1%, TriviaQA: 59.2%.
Key differences include licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 Tiny is developed by DeepSeek and Ministral 3 (3B Base 2512) is developed by Mistral AI.