Model Comparison

DeepSeek-V3.2-Speciale vs Min istral 3 (3B Reasoning 2512)

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks. Min istral 3 (3B Reasoning 2512) is 3.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.2-Speciale outperforms in 1 benchmarks (AIME 2025), while Min istral 3 (3B Reasoning 2512) is better at 0 benchmarks.

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

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Min istral 3 (3B Reasoning 2512) costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 2.8x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 4.2x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).

In conclusion, DeepSeek-V3.2-Speciale is more expensive than Min istral 3 (3B Reasoning 2512).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Mistral AI
Min istral 3 (3B Reasoning 2512)
Input tokens$0.10
Output tokens$0.10
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

682.0B diff

DeepSeek-V3.2-Speciale has 682.0B more parameters than Min istral 3 (3B Reasoning 2512), making it 22733.3% larger.

DeepSeek
DeepSeek-V3.2-Speciale
685.0Bparameters
Mistral AI
Min istral 3 (3B Reasoning 2512)
3.0Bparameters
685.0B
DeepSeek-V3.2-Speciale
3.0B
Min istral 3 (3B Reasoning 2512)

Context Window

Maximum input and output token capacity

Min istral 3 (3B Reasoning 2512) accepts 131,100 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. Min istral 3 (3B Reasoning 2512) can generate longer responses up to 131,100 tokens, while DeepSeek-V3.2-Speciale is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Mistral AI
Min istral 3 (3B Reasoning 2512)
Input131,100 tokens
Output131,100 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Min istral 3 (3B Reasoning 2512) supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

Min istral 3 (3B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Speciale

Text
Images
Audio
Video

Min istral 3 (3B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while Min istral 3 (3B Reasoning 2512) uses Apache 2.0.

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

DeepSeek-V3.2-Speciale

MIT

Open weights

Min istral 3 (3B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Min istral 3 (3B Reasoning 2512) was released on 2025-12-04.

Min istral 3 (3B Reasoning 2512) is 0 month newer than DeepSeek-V3.2-Speciale.

DeepSeek-V3.2-Speciale

Dec 1, 2025

4 months ago

Min istral 3 (3B Reasoning 2512)

Dec 4, 2025

4 months ago

3d newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3.2-Speciale is available from DeepSeek. Min istral 3 (3B Reasoning 2512) is available from Mistral AI.

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

Min istral 3 (3B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher AIME 2025 score (96.0% vs 72.1%)
Mistral AI
Larger context window (131,100 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Speciale
Mistral AI
Min istral 3 (3B Reasoning 2512)

FAQ

Common questions about DeepSeek-V3.2-Speciale vs Min istral 3 (3B Reasoning 2512)

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks. DeepSeek-V3.2-Speciale is made by DeepSeek and Min istral 3 (3B Reasoning 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. Min istral 3 (3B Reasoning 2512) scores AIME 2024: 77.5%, AIME 2025: 72.1%, LiveCodeBench: 54.8%, GPQA: 53.4%.
Min istral 3 (3B Reasoning 2512) is 2.8x cheaper for input tokens. DeepSeek-V3.2-Speciale costs $0.28/M input and $0.42/M output via deepseek. Min istral 3 (3B Reasoning 2512) costs $0.10/M input and $0.10/M output via mistral.
DeepSeek-V3.2-Speciale supports 131K tokens and Min istral 3 (3B Reasoning 2512) supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 131K), input pricing ($0.28 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.2-Speciale is developed by DeepSeek and Min istral 3 (3B Reasoning 2512) is developed by Mistral AI.