Model Comparison

DeepSeek R1 Distill Qwen 32B vs Ministral 3 (14B Reasoning 2512)

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while Ministral 3 (14B Reasoning 2512) is better at 3 benchmarks (AIME 2024, GPQA, LiveCodeBench).

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 1.7x cheaper than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 1.1x cheaper than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

In conclusion, Ministral 3 (14B Reasoning 2512) is more expensive than DeepSeek R1 Distill Qwen 32B.*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
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Model Size

Parameter count comparison

18.8B diff

DeepSeek R1 Distill Qwen 32B has 18.8B more parameters than Ministral 3 (14B Reasoning 2512), making it 134.3% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
14.0B
Ministral 3 (14B Reasoning 2512)

Context Window

Maximum input and output token capacity

Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.

Ministral 3 (14B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 32B

Text
Images
Audio
Video

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Ministral 3 (14B Reasoning 2512) uses Apache 2.0.

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Ministral 3 (14B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.

Ministral 3 (14B Reasoning 2512) is 11 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

4 months ago

10mo 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 R1 Distill Qwen 32B is available from DeepInfra. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Mistral AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Higher AIME 2024 score (89.8% vs 83.3%)
Higher GPQA score (71.2% vs 62.1%)
Higher LiveCodeBench score (64.6% vs 57.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 32B
Mistral AI
Ministral 3 (14B Reasoning 2512)

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Ministral 3 (14B Reasoning 2512)

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Ministral 3 (14B Reasoning 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%.
DeepSeek R1 Distill Qwen 32B is 1.7x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral.
DeepSeek R1 Distill Qwen 32B supports 128K tokens and Ministral 3 (14B Reasoning 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 262K), input pricing ($0.12 vs $0.20/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Ministral 3 (14B Reasoning 2512) is developed by Mistral AI.