Model Comparison

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

Comparing DeepSeek R1 Distill Llama 8B and Ministral 3 (14B Base 2512) across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Llama 8B and Ministral 3 (14B Base 2512) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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 Llama 8B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Ministral 3 (14B Base 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

6.0B diff

Ministral 3 (14B Base 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 Base 2512)
14.0Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
14.0B
Ministral 3 (14B Base 2512)

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Base 2512) supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Ministral 3 (14B Base 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 Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Ministral 3 (14B Base 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 Base 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 Base 2512) was released on 2025-12-04.

Ministral 3 (14B Base 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 Base 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
Supports multimodal inputs

Detailed Comparison

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

FAQ

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

DeepSeek R1 Distill Llama 8B (DeepSeek) and Ministral 3 (14B Base 2512) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.
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 Base 2512) is developed by Mistral AI.