Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 12.4% 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 was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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.
6 months newer

Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19

GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)

GPT-4.1 mini

Qwen2.5-Coder 32B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

GPT-4.1 mini

Qwen2.5-Coder 32B Instruct
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics

GPT-4.1 mini
OpenAI
ZeroEval


GPT-4.1 mini

Qwen2.5-Coder 32B Instruct

GPT-4.1 mini

Qwen2.5-Coder 32B Instruct
Qwen2.5-Coder 32B Instruct
DeepInfra
Fireworks
Hyperbolic
Lambda