Model Comparison

Mistral Large 2 vs QwQ-32B

Comparing Mistral Large 2 and QwQ-32B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Large 2 and QwQ-32B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Alibaba Cloud / Qwen Team
QwQ-32B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

90.5B diff

Mistral Large 2 has 90.5B more parameters than QwQ-32B, making it 278.5% larger.

Mistral AI
Mistral Large 2
123.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
123.0B
Mistral Large 2
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research License, while QwQ-32B uses Apache 2.0.

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

Mistral Large 2

Mistral Research License

Open weights

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 2 was released on 2024-07-24, while QwQ-32B was released on 2025-03-05.

QwQ-32B is 7 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

1.7 years ago

QwQ-32B

Mar 5, 2025

1.1 years ago

7mo newer

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Mistral Large 2's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without Mistral Large 2's cutoff date.

Mistral Large 2

—

QwQ-32B

Nov 2024

Outputs Comparison

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Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Large 2
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about Mistral Large 2 vs QwQ-32B

Mistral Large 2 (Mistral AI) and QwQ-32B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.
Mistral Large 2 supports 128K tokens and QwQ-32B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Mistral Research License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Mistral Large 2 is developed by Mistral AI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.