‹ PublicAI Index
The LLM benchmark aggregator.
Qwen3.5 Flash
Alibaba
Strongest in Mathematics (#33 of 152, on 1 of its 2 boards), weakest in Safety (#192 of 329). Above par in 9 of 15 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.5 and GPT-5.4 and ahead of Grok 4.1 Fast and GLM-4.6.
§ 1 · Profile
What it is good at
Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.
Reasoning55−10.4#45/1951/5
Mathematics57−6.8#33/1521/2
Science54.7−8.8#60/1221/1
Knowledge51.5−11#95/1971/3
Academic knowledge53.5−10.4#65/1231/1
Professional49.9−12.5#99/1941/2
Finance55.4−7#43/1621/1
Legal50.9−15#85/1731/1
Medical40.6−25.9#132/1491/1
Coding46.7−19.5#108/1791/6
Agentic coding46.4−20.5#104/1731/5
Human preference56.3−12.5#136/3541/1
Human preference56.3−12.5#136/3541/1
Safety49.6−11.8#192/3291/3
Factual grounding48.6−22.1#62/1041/1
§ 2 · Head to head
What it beats, and what beats it
The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Qwen3.5 Flash, left for the other.
§ 3 · Sources
Where the numbers come from
3 publications, 13 figures. Every one links to the page it was read from.
LMArena Text 1396
Vals · CaseLaw 55.95%Vals · LegalBench 84.28%Vals · CorpFin 63.56%Vals · TaxEval 72.16%Vals · MortgageTax 67.37%Vals · MedCode 33%Vals · MedScribe 70.62%Vals · SWE-bench Verified 64.4% (Mini-SWE-agent)Vals · GPQA Diamond 82.83%Vals · MMLU Pro 84.06%Vals · AIME 92.5%
Vectara · Factual consistency 89.5%
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[](https://publicai.io/model-index/m/qwen3-5-flash)