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GPT OSS 20B vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 35.1% higher average benchmark score. GPT OSS 20B offers 122.9K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. GPT OSS 20B is available on 4 providers. Overall, GPT OSS 20B is the stronger choice for coding tasks.
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OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
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Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
10 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GPT OSS 20B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 20B
Input:$0.05
Output:$0.20($0.35 cheaper)
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT OSS 20B
Average Score:71.5%(+35.1%)
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Qwen2.5 7B Instruct
Average Score:36.4%
Provider Availability & Performance
Available providers and their performance metrics
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GPT OSS 20B
4 providers
Groq
Throughput: 1000 tok/s
Latency: 0.38ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 1000 tok/s
Latency: 0.38ms
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GPT OSS 20B
Avg Score:71.5%(+35.1%)
Providers:4
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Qwen2.5 7B Instruct
Avg Score:36.4%
Providers:1