Model Comparison

DeepSeek-V3 0324 vs Ministral 3 (14B Reasoning 2512)

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (14B Reasoning 2512) is 2.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 0324 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

Ministral 3 (14B Reasoning 2512) costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 1.4x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 5.7x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than Ministral 3 (14B Reasoning 2512).*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
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

657.0B diff

DeepSeek-V3 0324 has 657.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 4692.9% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
671.0B
DeepSeek-V3 0324
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-V3 0324's 163,840 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while DeepSeek-V3 0324 is limited to 163,840 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 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-V3 0324 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-V3 0324

Text
Images
Audio
Video

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), 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-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Ministral 3 (14B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.

Ministral 3 (14B Reasoning 2512) is 8 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

4 months ago

8mo 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-V3 0324 is available from Novita. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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
Mistral AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (89.8% vs 59.4%)
Higher GPQA score (71.2% vs 68.4%)
Higher LiveCodeBench score (64.6% vs 49.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Mistral AI
Ministral 3 (14B Reasoning 2512)

FAQ

Common questions about DeepSeek-V3 0324 vs Ministral 3 (14B Reasoning 2512)

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. DeepSeek-V3 0324 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-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%.
Ministral 3 (14B Reasoning 2512) is 1.4x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral.
DeepSeek-V3 0324 supports 164K 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 (164K vs 262K), input pricing ($0.28 vs $0.20/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 0324 is developed by DeepSeek and Ministral 3 (14B Reasoning 2512) is developed by Mistral AI.