+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT OSS 20B vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 22.5% higher average benchmark score. GPT OSS 20B offers 122.9K more tokens in context window than Qwen2.5 72B Instruct. Both models have similar pricing. Overall, GPT OSS 20B is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
10 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GPT OSS 20B
OpenAI
2025-08-05
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GPT OSS 20B
Input:$0.05
Output:$0.20($0.50 cheaper)
+
+
+
+
Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
GPT OSS 20B
Average Score:71.5%(+22.5%)
+
+
+
+
Qwen2.5 72B Instruct
Average Score:49.0%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
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
+
+
+
+
+
+
GPT OSS 20B
Avg Score:71.5%(+22.5%)
Providers:4
+
+
+
+
Qwen2.5 72B Instruct
Avg Score:49.0%
Providers:4