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GPT OSS 120B vs Qwen3 32B
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 21.5% higher average benchmark score. GPT OSS 120B offers 6.1K more tokens in context window than Qwen3 32B. Both models have similar pricing. GPT OSS 120B is available on 5 providers. Overall, GPT OSS 120B is the stronger choice for coding tasks.
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OpenAI
GPT-OSS 120B was developed as an open-source model release from OpenAI, designed to provide the research and developer community with access to a capable language model. Built with 120 billion parameters, it enables experimentation, fine-tuning, and deployment in contexts where open-source licensing and transparency are valued.
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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.
3 months newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
GPT OSS 120B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 120B
Input:$0.09
Output:$0.45
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Qwen3 32B
Input:$0.10
Output:$0.30($0.14 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT OSS 120B
Average Score:87.4%(+21.5%)
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Qwen3 32B
Average Score:65.9%
Provider Availability & Performance
Available providers and their performance metrics
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GPT OSS 120B
5 providers
DeepInfra
Groq
Throughput: 500 tok/s
Latency: 0.5ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.5ms
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GPT OSS 120B
Avg Score:87.4%(+21.5%)
Providers:5
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Qwen3 32B
Avg Score:65.9%
Providers:3