DeepSeek-V3.2 (Thinking) vs Mistral Small 3.2 24B Instruct Comparison

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.

Sat Mar 14 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
Sat Mar 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Mistral AI
Mistral Small 3.2 24B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

661.4B diff

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

DeepSeek
DeepSeek-V3.2 (Thinking)
685.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
685.0B
DeepSeek-V3.2 (Thinking)
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2 (Thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Thinking) specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas DeepSeek-V3.2 (Thinking) 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 (Thinking)

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2 (Thinking) 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 (Thinking)

MIT

Open weights

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Thinking) was released on 2025-12-01, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

DeepSeek-V3.2 (Thinking) is 5 months newer than Mistral Small 3.2 24B Instruct.

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

3 months ago

5mo newer
Mistral Small 3.2 24B Instruct

Jun 20, 2025

8 months 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 (Thinking)'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 (Thinking)'s cutoff date.

DeepSeek-V3.2 (Thinking)

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Higher GPQA score (82.4% vs 46.1%)
Higher MMLU-Pro score (85.0% vs 69.1%)
Supports multimodal inputs

Detailed Comparison