Model Comparison

DeepSeek-V3.2-Exp vs Mistral Small 3.2 24B InstructWhich is better in 2026?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Verdict: DeepSeek-V3.2-Exp vs Mistral Small 3.2 24B Instruct — which is better?

DeepSeek-V3.2-Exp (by DeepSeek) and Mistral Small 3.2 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-V3.2-Exp outperforms in 3 benchmarks (GPQA, MMLU-Pro, SimpleQA), while Mistral Small 3.2 24B Instruct is better at 0 benchmarks. DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Choose DeepSeek-V3.2-Exp if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Choose Mistral Small 3.2 24B Instruct if…

  • you are already invested in the Mistral AI ecosystem
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3.2-Exp outperforms in 3 benchmarks (GPQA, MMLU-Pro, SimpleQA), while Mistral Small 3.2 24B Instruct is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Thu Jun 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

661.4B diff

DeepSeek-V3.2-Exp has 661.4B more parameters than Mistral Small 3.2 24B Instruct, making it 2802.5% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
685.0B
DeepSeek-V3.2-Exp
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Thu Jun 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

Mistral Small 3.2 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, 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-V3.2-Exp

MIT

Open weights

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

DeepSeek-V3.2-Exp is 3 months newer than Mistral Small 3.2 24B Instruct.

DeepSeek-V3.2-Exp

Sep 29, 2025

8 months ago

3mo newer
Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V3.2-Exp'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-V3.2-Exp's cutoff date.

DeepSeek-V3.2-Exp

—

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (79.9% vs 46.1%)
Higher MMLU-Pro score (85.0% vs 69.1%)
Higher SimpleQA score (97.1% vs 12.1%)
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Mistral AI
Mistral Small 3.2 24B Instruct

FAQ

Common questions about DeepSeek-V3.2-Exp vs Mistral Small 3.2 24B Instruct.

Which is better, DeepSeek-V3.2-Exp or Mistral Small 3.2 24B Instruct?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp 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.

How does DeepSeek-V3.2-Exp compare to Mistral Small 3.2 24B Instruct in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for DeepSeek-V3.2-Exp and Mistral Small 3.2 24B Instruct?

DeepSeek-V3.2-Exp supports 164K tokens and Mistral Small 3.2 24B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Exp and Mistral Small 3.2 24B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Mistral Small 3.2 24B Instruct?

DeepSeek-V3.2-Exp is developed by DeepSeek and Mistral Small 3.2 24B Instruct is developed by Mistral AI.

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