+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT-4.1 mini vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 10.8% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Qwen2.5-Coder 32B Instruct. Qwen2.5-Coder 32B Instruct is $1.82 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
+
+
+
+
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.
6 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
GPT-4.1 mini
OpenAI
2025-04-14
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GPT-4.1 mini
Input:$0.40
Output:$1.60
+
+
+
+
Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($1.82 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 43 common benchmarks
+
+
+
+
GPT-4.1 mini
Average Score:33.5%(+10.8%)
+
+
+
+
Qwen2.5-Coder 32B Instruct
Average Score:22.6%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT-4.1 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
+
+
+
+
+
+
+
+
GPT-4.1 mini
Avg Score:33.5%(+10.8%)
Providers:2
+
+
+
+
Qwen2.5-Coder 32B Instruct
Avg Score:22.6%
Providers:4