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GPT-5 nano vs QwQ-32B

GPT-5 nano significantly outperforms across most benchmarks.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-5 nano outperforms in 1 benchmarks (GPQA), while QwQ-32B is better at 0 benchmarks. GPT-5 nano significantly outperforms across most benchmarks.

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

Choose GPT-5 nano

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2025

Choose QwQ-32B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 of 1
Input price
$0.05 / M
— / M
Output price
$0.40 / M
— / M
Context window
400,000
Released
Aug 2025
Mar 2025
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5 nano outperforms in 1 benchmarks (GPQA), while QwQ-32B is better at 0 benchmarks.

GPT-5 nano significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).

OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas QwQ-32B does not.

GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 nano

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 nano is licensed under a proprietary license, while QwQ-32B uses Apache 2.0.

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

GPT-5 nano

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 nano was released on 2025-08-07, while QwQ-32B was released on 2025-03-05.

GPT-5 nano is 5 months newer than QwQ-32B.

GPT-5 nano

Aug 7, 2025

1.0 years ago

5mo newer
QwQ-32B

Mar 5, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

GPT-5 nano has a knowledge cutoff of 2024-05-30, while QwQ-32B has a cutoff of 2024-11-28.

QwQ-32B has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to GPT-5 nano (2024-05-30).

GPT-5 nano

May 2024

QwQ-32B

Nov 2024

6 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5 nano and QwQ-32B side-by-side, then vote on the output you prefer.

GPT-5 nano
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about GPT-5 nano vs QwQ-32B.

Which is better, GPT-5 nano or QwQ-32B?

GPT-5 nano significantly outperforms across most benchmarks. GPT-5 nano is made by OpenAI and QwQ-32B 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 nano compare to QwQ-32B in benchmarks?

GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for GPT-5 nano and QwQ-32B?

GPT-5 nano supports 400K 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.

What are the main differences between GPT-5 nano and QwQ-32B?

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 nano and QwQ-32B?

GPT-5 nano is developed by OpenAI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.