Model Comparison

DeepSeek VL2 Tiny vs Mistral Small 3.1 24B InstructWhich is better in 2026?

Mistral Small 3.1 24B Instruct significantly outperforms across most benchmarks.

Verdict: DeepSeek VL2 Tiny vs Mistral Small 3.1 24B Instruct — which is better?

DeepSeek VL2 Tiny (by DeepSeek) and Mistral Small 3.1 24B Instruct (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Mistral Small 3.1 24B Instruct is better at 1 benchmark (MMMU). Mistral Small 3.1 24B Instruct significantly outperforms across most benchmarks.

Choose DeepSeek VL2 Tiny if…

  • you are already invested in the DeepSeek ecosystem

Choose Mistral Small 3.1 24B Instruct if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Mistral Small 3.1 24B Instruct is better at 1 benchmark (MMMU).

Mistral Small 3.1 24B Instruct significantly outperforms across most benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

21.0B diff

Mistral Small 3.1 24B Instruct has 21.0B more parameters than DeepSeek VL2 Tiny, making it 700.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
3.0B
DeepSeek VL2 Tiny
24.0B
Mistral Small 3.1 24B Instruct

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and Mistral Small 3.1 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 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Mistral Small 3.1 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 3.1 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 3.1 24B Instruct was released on 2025-03-17.

Mistral Small 3.1 24B Instruct is 3 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.6 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.4 years ago

3mo 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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

No standout differentiators in the data we have for this pair.

Higher MMMU score (59.3% vs 40.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 Tiny and Mistral Small 3.1 24B Instruct side-by-side, then vote on the output you prefer.

DeepSeek VL2 Tiny
✓ Preferred
Mistral Small 3.1 24B Instruct
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Mistral AI
Mistral Small 3.1 24B Instruct

FAQ

Common questions about DeepSeek VL2 Tiny vs Mistral Small 3.1 24B Instruct.

Which is better, DeepSeek VL2 Tiny or Mistral Small 3.1 24B Instruct?

Mistral Small 3.1 24B Instruct significantly outperforms across most benchmarks. DeepSeek VL2 Tiny is made by DeepSeek and Mistral Small 3.1 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 Tiny compare to Mistral Small 3.1 24B Instruct in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the main differences between DeepSeek VL2 Tiny and Mistral Small 3.1 24B Instruct?

Key differences include licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Mistral Small 3.1 24B Instruct?

DeepSeek VL2 Tiny is developed by DeepSeek and Mistral Small 3.1 24B Instruct is developed by Mistral AI.