Model Comparison

DeepSeek R1 Distill Qwen 14B vs Mistral Large 3 (675B Instruct 2512 NVFP4)

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.

Tue Apr 14 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
Tue Apr 14 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

660.2B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 660.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 4460.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) 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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Mistral Large 3 (675B Instruct 2512 NVFP4) 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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512 NVFP4) is 11 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.2 years ago

Mistral Large 3 (675B Instruct 2512 NVFP4)

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

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Key Takeaways

DeepSeek
Higher GPQA score (59.1% vs 43.9%)
Higher LiveCodeBench score (53.1% vs 34.4%)
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Mistral Large 3 (675B Instruct 2512 NVFP4)

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Mistral Large 3 (675B Instruct 2512 NVFP4) 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%. Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.
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 Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.