Model Comparison

DeepSeek-V3.1 vs Min istral 3 (3B Reasoning 2512)

Both models are evenly matched across the benchmarks. Min istral 3 (3B Reasoning 2512) is 4.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3.1 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Min istral 3 (3B Reasoning 2512) is better at 2 benchmarks (AIME 2024, AIME 2025).

Both models are evenly matched across the benchmarks.

Sun Apr 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Min istral 3 (3B Reasoning 2512) costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 2.7x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 10.0x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).

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

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

Lowest available price from all providers
Sun Apr 19 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Mistral AI
Min istral 3 (3B Reasoning 2512)
Input tokens$0.10
Output tokens$0.10
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

668.0B diff

DeepSeek-V3.1 has 668.0B more parameters than Min istral 3 (3B Reasoning 2512), making it 22266.7% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Mistral AI
Min istral 3 (3B Reasoning 2512)
3.0Bparameters
671.0B
DeepSeek-V3.1
3.0B
Min istral 3 (3B Reasoning 2512)

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to Min istral 3 (3B Reasoning 2512)'s 131,100 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while Min istral 3 (3B Reasoning 2512) is limited to 131,100 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Mistral AI
Min istral 3 (3B Reasoning 2512)
Input131,100 tokens
Output131,100 tokens
Sun Apr 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Min istral 3 (3B 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

Min istral 3 (3B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while Min istral 3 (3B 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

Min istral 3 (3B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

Min istral 3 (3B 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. Min istral 3 (3B 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

Min istral 3 (3B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (74.9% vs 53.4%)
Higher LiveCodeBench score (56.4% vs 54.8%)
Mistral AI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher AIME 2024 score (77.5% vs 66.3%)
Higher AIME 2025 score (72.1% vs 49.8%)

Detailed Comparison

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

FAQ

Common questions about DeepSeek-V3.1 vs Min istral 3 (3B Reasoning 2512)

Both models are evenly matched across the benchmarks. DeepSeek-V3.1 is made by DeepSeek and Min istral 3 (3B 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%. Min istral 3 (3B Reasoning 2512) scores AIME 2024: 77.5%, AIME 2025: 72.1%, LiveCodeBench: 54.8%, GPQA: 53.4%.
Min istral 3 (3B Reasoning 2512) is 2.7x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. Min istral 3 (3B Reasoning 2512) costs $0.10/M input and $0.10/M output via mistral.
DeepSeek-V3.1 supports 164K tokens and Min istral 3 (3B Reasoning 2512) supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 131K), input pricing ($0.27 vs $0.10/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 Min istral 3 (3B Reasoning 2512) is developed by Mistral AI.