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GPT OSS 120B vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 14.9% higher average benchmark score. GPT OSS 120B offers 6.1K more tokens in context window than Qwen2.5-Coder 32B Instruct. 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
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
10 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.36 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT OSS 120B
Average Score:90.0%(+14.9%)
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Qwen2.5-Coder 32B Instruct
Average Score:75.1%
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:90.0%(+14.9%)
Providers:5
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Qwen2.5-Coder 32B Instruct
Avg Score:75.1%
Providers:4