Model Comparison

DeepSeek-V3.1 vs Ministral 3 (8B Reasoning 2512)

Ministral 3 (8B Reasoning 2512) shows notably better performance in the majority of benchmarks. Ministral 3 (8B Reasoning 2512) is 3.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3.1 outperforms in 1 benchmarks (GPQA), while Ministral 3 (8B Reasoning 2512) is better at 3 benchmarks (AIME 2024, AIME 2025, LiveCodeBench).

Ministral 3 (8B Reasoning 2512) shows notably better performance in the majority of benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Ministral 3 (8B Reasoning 2512) costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 1.8x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 6.7x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

In conclusion, DeepSeek-V3.1 is more expensive than Ministral 3 (8B Reasoning 2512).*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input tokens$0.15
Output tokens$0.15
Best providerMistral
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Model Size

Parameter count comparison

663.0B diff

DeepSeek-V3.1 has 663.0B more parameters than Ministral 3 (8B Reasoning 2512), making it 8287.5% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
671.0B
DeepSeek-V3.1
8.0B
Ministral 3 (8B Reasoning 2512)

Context Window

Maximum input and output token capacity

Ministral 3 (8B Reasoning 2512) accepts 262,100 input tokens compared to DeepSeek-V3.1's 163,840 tokens. Ministral 3 (8B Reasoning 2512) can generate longer responses up to 262,100 tokens, while DeepSeek-V3.1 is limited to 163,840 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas DeepSeek-V3.1 does not.

Ministral 3 (8B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.1

Text
Images
Audio
Video

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while Ministral 3 (8B Reasoning 2512) uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3.1

MIT

Open weights

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.

Ministral 3 (8B Reasoning 2512) is 11 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

Ministral 3 (8B 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

Provider Availability

DeepSeek-V3.1 is available from DeepInfra, Novita. Ministral 3 (8B Reasoning 2512) is available from Mistral AI.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

Ministral 3 (8B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Higher GPQA score (74.9% vs 66.8%)
Mistral AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (86.0% vs 66.3%)
Higher AIME 2025 score (78.7% vs 49.8%)
Higher LiveCodeBench score (61.6% vs 56.4%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Mistral AI
Ministral 3 (8B Reasoning 2512)

FAQ

Common questions about DeepSeek-V3.1 vs Ministral 3 (8B Reasoning 2512)

Ministral 3 (8B Reasoning 2512) shows notably better performance in the majority of benchmarks. DeepSeek-V3.1 is made by DeepSeek and Ministral 3 (8B Reasoning 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%.
Ministral 3 (8B Reasoning 2512) is 1.8x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. Ministral 3 (8B Reasoning 2512) costs $0.15/M input and $0.15/M output via mistral.
DeepSeek-V3.1 supports 164K tokens and Ministral 3 (8B 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 ($0.27 vs $0.15/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.1 is developed by DeepSeek and Ministral 3 (8B Reasoning 2512) is developed by Mistral AI.