Model Comparison

DeepSeek R1 Distill Llama 8B vs Ministral 3 (14B Reasoning 2512)

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

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Llama 8B 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.

Fri Apr 17 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
Fri Apr 17 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 8B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

6.0B diff

Ministral 3 (14B Reasoning 2512) has 6.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 74.3% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
14.0B
Ministral 3 (14B Reasoning 2512)

Context Window

Maximum input and output token capacity

Only Ministral 3 (14B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (14B Reasoning 2512) specifies output context (262,100 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B 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 Llama 8B

Text
Images
Audio
Video

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B 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 Llama 8B

MIT

Open weights

Ministral 3 (14B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B 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 Llama 8B.

DeepSeek R1 Distill Llama 8B

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

Outputs Comparison

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Key Takeaways

DeepSeek
Mistral AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Higher AIME 2024 score (89.8% vs 80.0%)
Higher GPQA score (71.2% vs 49.0%)
Higher LiveCodeBench score (64.6% vs 39.6%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
Mistral AI
Ministral 3 (14B Reasoning 2512)

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Ministral 3 (14B Reasoning 2512)

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 8B 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 Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%.
DeepSeek R1 Distill Llama 8B supports an unknown number of 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 multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Ministral 3 (14B Reasoning 2512) is developed by Mistral AI.