Model Comparison

DeepSeek-V2.5 vs Mistral Small 3.2 24B InstructWhich is better in 2026?

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks.

Verdict: DeepSeek-V2.5 vs Mistral Small 3.2 24B Instruct — which is better?

DeepSeek-V2.5 (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-V2.5 outperforms in 2 benchmarks (Arena Hard, MATH), while Mistral Small 3.2 24B Instruct is better at 1 benchmark (MMLU). DeepSeek-V2.5 shows notably better performance in the majority of benchmarks.

Choose DeepSeek-V2.5 if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Choose Mistral Small 3.2 24B Instruct if…

  • you want the most recent training data — it shipped Jun 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V2.5 outperforms in 2 benchmarks (Arena Hard, MATH), while Mistral Small 3.2 24B Instruct is better at 1 benchmark (MMLU).

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

212.4B diff

DeepSeek-V2.5 has 212.4B more parameters than Mistral Small 3.2 24B Instruct, making it 900.0% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
236.0B
DeepSeek-V2.5
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas DeepSeek-V2.5 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-V2.5

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, 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-V2.5

deepseek

Open weights

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Mistral Small 3.2 24B Instruct is 14 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.1 years ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.0 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while DeepSeek-V2.5'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-V2.5's cutoff date.

DeepSeek-V2.5

—

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (8,192 tokens)
Higher Arena Hard score (76.2% vs 43.1%)
Higher MATH score (74.7% vs 69.4%)
Mistral AI
Supports multimodal inputs
Higher MMLU score (80.5% vs 80.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V2.5 and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V2.5
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Mistral AI
Mistral Small 3.2 24B Instruct

FAQ

Common questions about DeepSeek-V2.5 vs Mistral Small 3.2 24B Instruct.

Which is better, DeepSeek-V2.5 or Mistral Small 3.2 24B Instruct?

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks. DeepSeek-V2.5 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-V2.5 compare to Mistral Small 3.2 24B Instruct in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. 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-V2.5 and Mistral Small 3.2 24B Instruct?

DeepSeek-V2.5 supports 8K 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-V2.5 and Mistral Small 3.2 24B Instruct?

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

Who makes DeepSeek-V2.5 and Mistral Small 3.2 24B Instruct?

DeepSeek-V2.5 is developed by DeepSeek and Mistral Small 3.2 24B Instruct is developed by Mistral AI.

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