Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini has the cleaner overall profile here, landing at 43 versus 41. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-4o mini's sharpest advantage is in coding, where it averages 87.2 against 21. The single biggest benchmark swing on the page is HumanEval, 87.2 to 35.
GPT-4o mini gives you the larger context window at 128K, compared with 32K for Qwen2.5-VL-32B.
Pick GPT-4o mini if you want the stronger benchmark profile. Qwen2.5-VL-32B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-4o mini
82
Qwen2.5-VL-32B
36.3
GPT-4o mini
87.2
Qwen2.5-VL-32B
21
GPT-4o mini
87
Qwen2.5-VL-32B
63
GPT-4o mini is ahead overall, 43 to 41. The biggest single separator in this matchup is HumanEval, where the scores are 87.2 and 35.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 36.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for coding in this comparison, averaging 87.2 versus 21. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for multilingual tasks in this comparison, averaging 87 versus 63. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.