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DeepSeek-V3.2-Exp vs Mistral Small 3 24B Base

DeepSeek-V3.2-Exp leads the LLM Stats Score 28.2 to -0.3.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek-V3.2-Exp leads the overall LLM Stats Score 28.2 to -0.3, ranking #137 overall.

In the 2 individual benchmarks reported for both models, DeepSeek-V3.2-Exp wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3.2-Exp

  • overall performance matters — it scores 28.2 and ranks #137 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Sep 2025

Choose Mistral Small 3 24B Base

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

DeepSeek-V3.2-Exp
DeepSeek
Mistral Small 3 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
28.2
#137
-0.3
#330
Reasoning
28.1
#133
-0.3
#324
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.27 / M
— / M
Output price
$0.41 / M
— / M
Context window
163,840
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.2-Exp
Mistral Small 3 24B Base
Math
26.3#103
4.5#280
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek-V3.2-Exp · 9 for Mistral Small 3 24B Base

2 shared

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

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

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

661.4B diff

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

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
685.0B
DeepSeek-V3.2-Exp
23.6B
Mistral Small 3 24B Base

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 24B Base
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3 24B Base supports multimodal inputs, whereas DeepSeek-V3.2-Exp 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-Exp

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp 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-Exp

MIT

Open weights

Mistral Small 3 24B Base

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 24B Base was released on 2025-01-30.

DeepSeek-V3.2-Exp is 8 months newer than Mistral Small 3 24B Base.

DeepSeek-V3.2-Exp

Sep 29, 2025

11 months ago

8mo newer
Mistral Small 3 24B Base

Jan 30, 2025

1.6 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-Exp'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-Exp's cutoff date.

DeepSeek-V3.2-Exp

—

Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Exp and Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Mistral Small 3 24B Base
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Exp vs Mistral Small 3 24B Base.

Which is better, DeepSeek-V3.2-Exp or Mistral Small 3 24B Base?

DeepSeek-V3.2-Exp leads the LLM Stats Score 28.2 to -0.3. DeepSeek-V3.2-Exp is made by DeepSeek and Mistral Small 3 24B Base is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3.2-Exp compare to Mistral Small 3 24B Base 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 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-Exp and Mistral Small 3 24B Base?

DeepSeek-V3.2-Exp supports 164K 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-Exp and Mistral Small 3 24B Base?

Key differences include LLM Stats Score (28.2 vs -0.3), 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 24B Base?

DeepSeek-V3.2-Exp is developed by DeepSeek and Mistral Small 3 24B Base is developed by Mistral AI.

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