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DeepSeek R1 Zero vs Ministral 3 (8B Reasoning 2512)

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

DeepSeek · Mistral AI · Updated for 2026

Which is better?

DeepSeek R1 Zero outperforms in 2 benchmarks (AIME 2024, GPQA), while Ministral 3 (8B Reasoning 2512) is better at 1 benchmark (LiveCodeBench). DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek R1 Zero

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Choose Ministral 3 (8B Reasoning 2512)

  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

Benchmark wins
2 of 3
1 of 3
Input price
— / M
$0.15 / M
Output price
— / M
$0.15 / M
Context window
262,100
Released
Jan 2025
Dec 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Zero outperforms in 2 benchmarks (AIME 2024, GPQA), while Ministral 3 (8B Reasoning 2512) is better at 1 benchmark (LiveCodeBench).

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

663.0B diff

DeepSeek R1 Zero has 663.0B more parameters than Ministral 3 (8B Reasoning 2512), making it 8287.5% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
671.0B
DeepSeek R1 Zero
8.0B
Ministral 3 (8B Reasoning 2512)

Context Window

Maximum input and output token capacity

Only Ministral 3 (8B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).

DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas DeepSeek R1 Zero 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 R1 Zero

Text
Images
Audio
Video

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Zero 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 R1 Zero

MIT

Open weights

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.

Ministral 3 (8B Reasoning 2512) is 11 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

8 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

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and Ministral 3 (8B Reasoning 2512) side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
Ministral 3 (8B Reasoning 2512)
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs Ministral 3 (8B Reasoning 2512).

Which is better, DeepSeek R1 Zero or Ministral 3 (8B Reasoning 2512)?

DeepSeek R1 Zero shows notably better performance in the majority of benchmarks. DeepSeek R1 Zero 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.

How does DeepSeek R1 Zero compare to Ministral 3 (8B Reasoning 2512) in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%.

What are the context window sizes for DeepSeek R1 Zero and Ministral 3 (8B Reasoning 2512)?

DeepSeek R1 Zero supports an unknown number of 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.

What are the main differences between DeepSeek R1 Zero and Ministral 3 (8B Reasoning 2512)?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Ministral 3 (8B Reasoning 2512)?

DeepSeek R1 Zero is developed by DeepSeek and Ministral 3 (8B Reasoning 2512) is developed by Mistral AI.