Model Comparison

DeepSeek R1 Distill Qwen 14B vs Min istral 3 (3B Reasoning 2512)

DeepSeek R1 Distill Qwen 14B shows notably better performance in the majority of benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 2 benchmarks (AIME 2024, GPQA), while Min istral 3 (3B Reasoning 2512) is better at 1 benchmark (LiveCodeBench).

DeepSeek R1 Distill Qwen 14B shows notably better performance in the majority of benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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

11.8B diff

DeepSeek R1 Distill Qwen 14B has 11.8B more parameters than Min istral 3 (3B Reasoning 2512), making it 393.3% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Mistral AI
Min istral 3 (3B Reasoning 2512)
3.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
3.0B
Min istral 3 (3B Reasoning 2512)

Context Window

Maximum input and output token capacity

Only Min istral 3 (3B Reasoning 2512) specifies input context (131,100 tokens). Only Min istral 3 (3B Reasoning 2512) specifies output context (131,100 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Mistral AI
Min istral 3 (3B Reasoning 2512)
Input131,100 tokens
Output131,100 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Min istral 3 (3B Reasoning 2512) supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B 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 R1 Distill Qwen 14B

Text
Images
Audio
Video

Min istral 3 (3B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B 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 R1 Distill Qwen 14B

MIT

Open weights

Min istral 3 (3B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.2 years ago

Min istral 3 (3B 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher AIME 2024 score (80.0% vs 77.5%)
Higher GPQA score (59.1% vs 53.4%)
Mistral AI
Larger context window (131,100 tokens)
Supports multimodal inputs
Higher LiveCodeBench score (54.8% vs 53.1%)

Detailed Comparison

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

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Min istral 3 (3B Reasoning 2512)

DeepSeek R1 Distill Qwen 14B shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Qwen 14B 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 R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Min istral 3 (3B Reasoning 2512) scores AIME 2024: 77.5%, AIME 2025: 72.1%, LiveCodeBench: 54.8%, GPQA: 53.4%.
DeepSeek R1 Distill Qwen 14B supports an unknown number of 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 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 14B is developed by DeepSeek and Min istral 3 (3B Reasoning 2512) is developed by Mistral AI.