Model Comparison

GPT-5 nano vs Qwen3 32B

GPT-5 nano significantly outperforms across most benchmarks. GPT-5 nano is 1.1x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5 nano outperforms in 1 benchmarks (AIME 2025), while Qwen3 32B is better at 0 benchmarks.

GPT-5 nano significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 nano costs less

For input processing, GPT-5 nano ($0.05/1M tokens) is 2.0x cheaper than Qwen3 32B ($0.10/1M tokens).

For output processing, GPT-5 nano ($0.40/1M tokens) is 1.3x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, Qwen3 32B is more expensive than GPT-5 nano.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
GPT-5 nano
Input tokens$0.05
Output tokens$0.40
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5 nano accepts 400,000 input tokens compared to Qwen3 32B's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas Qwen3 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

Qwen3 32B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 nano is licensed under a proprietary license, while Qwen3 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

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 nano was released on 2025-08-07, while Qwen3 32B was released on 2025-04-29.

GPT-5 nano is 3 months newer than Qwen3 32B.

GPT-5 nano

Aug 7, 2025

8 months ago

3mo newer
Qwen3 32B

Apr 29, 2025

11 months ago

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Qwen3 32B's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Qwen3 32B's cutoff date.

GPT-5 nano

May 2024

Qwen3 32B

Provider Availability

GPT-5 nano is available from OpenAI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

GPT-5 nano

openai logo
OpenAI
Input Price:Input: $0.05/1MOutput Price:Output: $0.40/1M

Qwen3 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
sambanova logo
Sambanova
Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher AIME 2025 score (85.2% vs 72.9%)
Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5 nano
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about GPT-5 nano vs Qwen3 32B

GPT-5 nano significantly outperforms across most benchmarks. GPT-5 nano is made by OpenAI and Qwen3 32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
GPT-5 nano is 2.0x cheaper for input tokens. GPT-5 nano costs $0.05/M input and $0.40/M output via openai. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.
GPT-5 nano supports 400K tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 128K), input pricing ($0.05 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-5 nano is developed by OpenAI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.