Model Comparison

DeepSeek-R1-0528 vs Mistral Large 3 (675B Instruct 2512 Eagle)Which is better in 2026?

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Verdict: DeepSeek-R1-0528 vs Mistral Large 3 (675B Instruct 2512 Eagle) — which is better?

DeepSeek-R1-0528 (by DeepSeek) and Mistral Large 3 (675B Instruct 2512 Eagle) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-R1-0528 outperforms in 3 benchmarks (GPQA, LiveCodeBench, SimpleQA), while Mistral Large 3 (675B Instruct 2512 Eagle) is better at 0 benchmarks. DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Choose DeepSeek-R1-0528 if…

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

Choose Mistral Large 3 (675B Instruct 2512 Eagle) if…

  • you want the most recent training data — it shipped Dec 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-R1-0528 outperforms in 3 benchmarks (GPQA, LiveCodeBench, SimpleQA), while Mistral Large 3 (675B Instruct 2512 Eagle) is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

4.0B diff

Mistral Large 3 (675B Instruct 2512 Eagle) has 4.0B more parameters than DeepSeek-R1-0528, making it 0.6% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
671.0B
DeepSeek-R1-0528
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)

Context Window

Maximum input and output token capacity

Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512 Eagle) supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

Mistral Large 3 (675B Instruct 2512 Eagle) can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1-0528

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while Mistral Large 3 (675B Instruct 2512 Eagle) uses Apache 2.0.

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

DeepSeek-R1-0528

MIT

Open weights

Mistral Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512 Eagle) is 6 months newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

1.1 years ago

Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

6 months ago

6mo 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→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Higher GPQA score (81.0% vs 43.9%)
Higher LiveCodeBench score (73.3% vs 34.4%)
Higher SimpleQA score (92.3% vs 23.8%)
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)

FAQ

Common questions about DeepSeek-R1-0528 vs Mistral Large 3 (675B Instruct 2512 Eagle).

Which is better, DeepSeek-R1-0528 or Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and Mistral Large 3 (675B Instruct 2512 Eagle) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-R1-0528 compare to Mistral Large 3 (675B Instruct 2512 Eagle) in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Mistral Large 3 (675B Instruct 2512 Eagle) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for DeepSeek-R1-0528 and Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-R1-0528 supports 131K tokens and Mistral Large 3 (675B Instruct 2512 Eagle) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1-0528 and Mistral Large 3 (675B Instruct 2512 Eagle)?

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-R1-0528 and Mistral Large 3 (675B Instruct 2512 Eagle)?

DeepSeek-R1-0528 is developed by DeepSeek and Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI.

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