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
Qwen2.5-7B-Instruct is a 7-billion-parameter open-weight language model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens with improved code, math, and multilingual coverage. The model delivers significantly stronger instruction-following, structured output generation, and long-context handling compared to its predecessor, supporting 128K context windows in a compact form factor. It became widely adopted as a foundation for fine-tuning, RAG pipelines, and on-device deployment due to its balance of capability and efficiency.
6 months newer
Qwen2.5 7B Instruct
Alibaba / Qwen
2024-09-19

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