Comprehensive side-by-side LLM comparison
o4 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
OpenAI o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
Alibaba / Qwen
Qwen2.5-Coder-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
5 months newer
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12

o4 mini
OpenAI
2025-04-16
Context window and performance specifications
Available providers and their performance metrics
o4 mini
OpenAI
Qwen2.5-Coder 7B Instruct
o4 mini
Qwen2.5-Coder 7B Instruct
o4 mini
Qwen2.5-Coder 7B Instruct