Model Comparison

DeepSeek-V3.2 (Non-thinking) vs Mistral Small 3 24B Base

Comparing DeepSeek-V3.2 (Non-thinking) and Mistral Small 3 24B Base across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2 (Non-thinking) and Mistral Small 3 24B Base don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

661.4B diff

DeepSeek-V3.2 (Non-thinking) has 661.4B more parameters than Mistral Small 3 24B Base, making it 2802.5% larger.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
685.0Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
685.0B
DeepSeek-V3.2 (Non-thinking)
23.6B
Mistral Small 3 24B Base

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2 (Non-thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Non-thinking) specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input131,072 tokens
Output8,192 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3 24B Base supports multimodal inputs, whereas DeepSeek-V3.2 (Non-thinking) does not.

Mistral Small 3 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2 (Non-thinking)

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2 (Non-thinking) is licensed under MIT, while Mistral Small 3 24B Base uses Apache 2.0.

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

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while Mistral Small 3 24B Base was released on 2025-01-30.

DeepSeek-V3.2 (Non-thinking) is 10 months newer than Mistral Small 3 24B Base.

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

5 months ago

10mo newer
Mistral Small 3 24B Base

Jan 30, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V3.2 (Non-thinking)'s cutoff date is not specified.

We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek-V3.2 (Non-thinking)'s cutoff date.

DeepSeek-V3.2 (Non-thinking)

—

Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Mistral AI
Mistral Small 3 24B Base

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking) vs Mistral Small 3 24B Base.

Which is better, DeepSeek-V3.2 (Non-thinking) or Mistral Small 3 24B Base?

DeepSeek-V3.2 (Non-thinking) (DeepSeek) and Mistral Small 3 24B Base (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V3.2 (Non-thinking) compare to Mistral Small 3 24B Base in benchmarks?

Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.

What are the context window sizes for DeepSeek-V3.2 (Non-thinking) and Mistral Small 3 24B Base?

DeepSeek-V3.2 (Non-thinking) supports 131K tokens and Mistral Small 3 24B Base 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 (Non-thinking) and Mistral Small 3 24B Base?

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 (Non-thinking) and Mistral Small 3 24B Base?

DeepSeek-V3.2 (Non-thinking) is developed by DeepSeek and Mistral Small 3 24B Base is developed by Mistral AI.