Model Comparison

GPT-4o vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. Qwen3 32B is 29.2x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4o outperforms in 0 benchmarks, while Qwen3 32B is better at 1 benchmark (AIME 2024).

Qwen3 32B significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, GPT-4o ($2.50/1M tokens) is 25.0x more expensive than Qwen3 32B ($0.10/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 33.3x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, GPT-4o is more expensive than Qwen3 32B.*

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

Lowest available price from all providers

Tue May 12 2026 • llm-stats.com

GPT-4o

Input tokens$2.50

Output tokens$10.00

Best providerAzure

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

Both models have the same input context window of 128,000 tokens. Qwen3 32B can generate longer responses up to 128,000 tokens, while GPT-4o is limited to 16,384 tokens.

GPT-4o

Input128,000 tokens

Output16,384 tokens

Qwen3 32B

Input128,000 tokens

Output128,000 tokens

Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas Qwen3 32B does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text

Images

Audio

Video

Qwen3 32B

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4o 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-4o

Proprietary

Closed source

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 9 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.8 years ago

Qwen3 32B

Apr 29, 2025

1.0 years ago

8mo newer

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

Provider Availability

GPT-4o is available from Azure, OpenAI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

GPT-4o

Azure

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

OpenAI

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Qwen3 32B

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Novita

Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M

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

GPT-4o

View details

OpenAI

Supports multimodal inputs

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher AIME 2024 score (81.4% vs 13.1%)

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4o	Qwen3 32B

FAQ

Common questions about GPT-4o vs Qwen3 32B.

Which is better, GPT-4o or Qwen3 32B?

Qwen3 32B significantly outperforms across most benchmarks. GPT-4o 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.

How does GPT-4o compare to Qwen3 32B in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

Is GPT-4o cheaper than Qwen3 32B?

Qwen3 32B is 25.0x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.

What are the context window sizes for GPT-4o and Qwen3 32B?

GPT-4o supports 128K tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4o and Qwen3 32B?

Key differences include input pricing ($2.50 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.

Who makes GPT-4o and Qwen3 32B?

GPT-4o is developed by OpenAI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.