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GPT-4o vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 68.3% higher average benchmark score. Qwen3 32B offers 111.6K more tokens in context window than GPT-4o. Qwen3 32B is $12.10 cheaper per million tokens. GPT-4o supports multimodal inputs. Overall, Qwen3 32B is the stronger choice for coding tasks.
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OpenAI
This updated version of GPT-4o was released with refinements to its multimodal capabilities and improved performance across text, vision, and audio tasks. Built to incorporate learnings from the initial GPT-4o deployment, it enhanced reliability and accuracy while maintaining the seamless cross-modal reasoning that defines the GPT-4o family.
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Alibaba Cloud / Qwen Team
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
8 months newer
GPT-4o
OpenAI
2024-08-06
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o
Input:$2.50
Output:$10.00
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Qwen3 32B
Input:$0.10
Output:$0.30($12.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4o
Average Score:13.1%
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Qwen3 32B
Average Score:81.4%(+68.3%)
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o
2 providers
Azure
Throughput: 99 tok/s
Latency: 0.53ms
OpenAI
Throughput: 132 tok/s
Latency: 0.5ms
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GPT-4o
Avg Score:13.1%
Providers:2
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Qwen3 32B
Avg Score:81.4%(+68.3%)
Providers:3