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GPT OSS 120B vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 17.4% higher average benchmark score. GPT OSS 120B offers 6.1K more tokens in context window than Qwen3 235B A22B. Both models have similar pricing. 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 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
3 months newer
Qwen3 235B A22B
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 235B A22B
Input:$0.10
Output:$0.10($0.34 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT OSS 120B
Average Score:85.0%(+17.4%)
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Qwen3 235B A22B
Average Score:67.6%
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:85.0%(+17.4%)
Providers:5
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Qwen3 235B A22B
Avg Score:67.6%
Providers:4