Model Comparison

Mistral Large 3 (675B Instruct 2512 Eagle) vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Large 3 (675B Instruct 2512 Eagle) outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 2 benchmarks (GPQA, LiveCodeBench).

QwQ-32B-Preview significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
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Model Size

Parameter count comparison

642.5B diff

Mistral Large 3 (675B Instruct 2512 Eagle) has 642.5B more parameters than QwQ-32B-Preview, making it 1976.9% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512 Eagle) supports multimodal inputs, whereas QwQ-32B-Preview 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.

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Mistral Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04, while QwQ-32B-Preview was released on 2024-11-28.

Mistral Large 3 (675B Instruct 2512 Eagle) is 12 months newer than QwQ-32B-Preview.

Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

4 months ago

1.0yr newer
QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Mistral Large 3 (675B Instruct 2512 Eagle)'s cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Mistral Large 3 (675B Instruct 2512 Eagle)'s cutoff date.

Mistral Large 3 (675B Instruct 2512 Eagle)

QwQ-32B-Preview

Nov 2024

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Larger context window (32,768 tokens)
Higher GPQA score (65.2% vs 43.9%)
Higher LiveCodeBench score (50.0% vs 34.4%)

Detailed Comparison

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 Eagle) vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks. Mistral Large 3 (675B Instruct 2512 Eagle) is made by Mistral AI and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
Mistral Large 3 (675B Instruct 2512 Eagle) supports an unknown number of tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.