Model Comparison

GPT-5.1 Thinking vs Qwen2.5 32B Instruct

GPT-5.1 Thinking significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.1 Thinking outperforms in 1 benchmarks (GPQA), while Qwen2.5 32B Instruct is better at 0 benchmarks.

GPT-5.1 Thinking significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.1 Thinking specifies input context (400,000 tokens). Only GPT-5.1 Thinking specifies output context (128,000 tokens).

OpenAI
GPT-5.1 Thinking
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Thinking supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.

GPT-5.1 Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.1 Thinking

Text
Images
Audio
Video

Qwen2.5 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Thinking is licensed under a proprietary license, while Qwen2.5 32B Instruct uses Apache 2.0.

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

GPT-5.1 Thinking

Proprietary

Closed source

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 Thinking was released on 2025-11-12, while Qwen2.5 32B Instruct was released on 2024-09-19.

GPT-5.1 Thinking is 14 months newer than Qwen2.5 32B Instruct.

GPT-5.1 Thinking

Nov 12, 2025

6 months ago

1.1yr newer
Qwen2.5 32B Instruct

Sep 19, 2024

1.6 years ago

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

Larger context window (400,000 tokens)
Supports multimodal inputs
Higher GPQA score (88.1% vs 49.5%)
Alibaba Cloud / Qwen Team

Qwen2.5 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.1 Thinking
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct

FAQ

Common questions about GPT-5.1 Thinking vs Qwen2.5 32B Instruct.

Which is better, GPT-5.1 Thinking or Qwen2.5 32B Instruct?

GPT-5.1 Thinking significantly outperforms across most benchmarks. GPT-5.1 Thinking is made by OpenAI and Qwen2.5 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.1 Thinking compare to Qwen2.5 32B Instruct in benchmarks?

GPT-5.1 Thinking scores Tau2 Telecom: 95.6%, AIME 2025: 94.0%, BrowseComp Long Context 128k: 90.0%, GPQA: 88.1%, MMMU: 85.4%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for GPT-5.1 Thinking and Qwen2.5 32B Instruct?

GPT-5.1 Thinking supports 400K tokens and Qwen2.5 32B Instruct 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 GPT-5.1 Thinking and Qwen2.5 32B Instruct?

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

Who makes GPT-5.1 Thinking and Qwen2.5 32B Instruct?

GPT-5.1 Thinking is developed by OpenAI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.