Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 mini
69
Qwen3.6-27B
73
Verified leaderboard positions: GPT-5.4 mini unranked · Qwen3.6-27B #18
Pick Qwen3.6-27B if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if agentic is the priority or you need the larger 400K context window.
Agentic
+6.3 difference
Knowledge
+4.8 difference
Multimodal
GPT-5.4 mini
Qwen3.6-27B
$0.75 / $4.5
$0 / $0
201 t/s
N/A
3.85s
N/A
400K
262K
Pick Qwen3.6-27B if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if agentic is the priority or you need the larger 400K context window.
Qwen3.6-27B is clearly ahead on the provisional aggregate, 73 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6-27B's sharpest advantage is in knowledge, where it averages 62.2 against 57.4. The single biggest benchmark swing on the page is HLE, 41.5% to 24%. GPT-5.4 mini does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.6-27B. That is roughly Infinityx on output cost alone. GPT-5.4 mini gives you the larger context window at 400K, compared with 262K for Qwen3.6-27B.
Qwen3.6-27B is ahead on BenchLM's provisional leaderboard, 73 to 69. The biggest single separator in this matchup is HLE, where the scores are 41.5% and 24%.
Qwen3.6-27B has the edge for knowledge tasks in this comparison, averaging 62.2 versus 57.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.6 versus 59.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
GPT-5.4 mini and Qwen3.6-27B are effectively tied for multimodal and grounded tasks here, both landing at 76.6 on average.
Estimates at 50,000 req/day · 1000 tokens/req average.
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