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GPT-4o mini vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 19.2% higher average benchmark score. Qwen2.5-Coder 32B Instruct offers 111.6K more tokens in context window than GPT-4o mini. Qwen2.5-Coder 32B Instruct is $0.57 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, Qwen2.5-Coder 32B Instruct is the stronger choice for coding tasks.
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OpenAI
GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
GPT-4o mini
OpenAI
2024-07-18
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Pricing Comparison
Cost per million tokens (USD)
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GPT-4o mini
Input:$0.15
Output:$0.60
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.57 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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GPT-4o mini
Average Score:27.2%
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Qwen2.5-Coder 32B Instruct
Average Score:46.4%(+19.2%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Qwen2.5-Coder 32B Instruct
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GPT-4o mini
Avg Score:27.2%
Providers:1
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Qwen2.5-Coder 32B Instruct
Avg Score:46.4%(+19.2%)
Providers:4