Model Comparison

DeepSeek VL2 Tiny vs Mistral Small 3.2 24B Instruct

Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Mistral Small 3.2 24B Instruct is better at 5 benchmarks (AI2D, ChartQA, DocVQA, MathVista, MMMU).

Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Tiny
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Mistral Small 3.2 24B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

20.6B diff

Mistral Small 3.2 24B Instruct has 20.6B more parameters than DeepSeek VL2 Tiny, making it 686.7% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
3.0B
DeepSeek VL2 Tiny
23.6B
Mistral Small 3.2 24B Instruct

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and Mistral Small 3.2 24B Instruct support multimodal inputs.

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Mistral Small 3.2 24B Instruct 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

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Mistral Small 3.2 24B Instruct is 6 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

10 months ago

6mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

DeepSeek VL2 Tiny

—

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Mistral AI
Higher AI2D score (92.9% vs 71.6%)
Higher ChartQA score (87.4% vs 81.0%)
Higher DocVQA score (94.9% vs 88.9%)
Higher MathVista score (67.1% vs 53.6%)
Higher MMMU score (62.5% vs 40.7%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Mistral AI
Mistral Small 3.2 24B Instruct

FAQ

Common questions about DeepSeek VL2 Tiny vs Mistral Small 3.2 24B Instruct

Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks. DeepSeek VL2 Tiny is made by DeepSeek and Mistral Small 3.2 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.
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 Mistral Small 3.2 24B Instruct is developed by Mistral AI.