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GPT-5 mini vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
GPT-5 mini offers 272.0K more tokens in context window than Qwen2.5-Coder 32B Instruct. Qwen2.5-Coder 32B Instruct is $2.07 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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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-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($2.07 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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GPT-5 mini
Avg Score:0.0%
Providers:2
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Qwen2.5-Coder 32B Instruct
Avg Score:0.0%
Providers:4