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Alibaba Cloud / Qwen Team · apache_2_0
Qwen3 VL 235B A22B Thinking
Qwen3 VL 235B A22B Thinking by Alibaba Cloud / Qwen Team appears in 1 source with Reasoning at 31.71. Best read for Math, Multimodal, Open weights.
CreatorAlibaba Cloud / Qwen Team
Release date2025-09-22
Knowledge cutoffNot published
ContextUnknown
Input priceUnknown
Output priceUnknown
Modalitytext + vision
CountryCN
Metrics
All source-backed metrics
LLM Stats Rank94ranking · source_rank
LLM Stats Code Index (estimated from arena)2.97 scoremetric
Reasoning31.71reasoning · index_reasoning
Math35.42math · index_math
Writing20.83writing · index_communication
Vision22.72multimodal · index_vision
Tool calling12.96tool_calling · index_tool_calling
Long context19.61long_context · index_long_context
Finance39.28domain · index_finance
Legal39.88domain · index_legal
Healthcare39.14domain · index_healthcare
AIME 202589.7 %math · aime_2025_score
Code Arena538.64 %coding · coding_arena_score
Humanity Last Exam13.6 %reasoning · hle_score
MMMU-Pro69.3 %multimodal · mmmu_pro_score
SimpleQA44.4 %knowledge · simpleqa_score
OSWorld38.1 %agent · osworld_score
CharXiv-R66.1 %multimodal · charxiv_r_score
ScreenSpot Pro61.8 %multimodal · screenspot_pro_score
Parameters236,000,000,000 paramsmodel · params
Evidence
Citations and source overlap
FAQ
How should I read this profile?
Treat this as a source-backed model dossier, not an EvalKit-run verification. The public values are replicated from linked sources and kept source-scoped.
Is Qwen3 VL 235B A22B Thinking verified by EvalKit?
No. EvalKit currently shows 0 verified rows until real run evidence exists.
Why can metrics disagree?
Different sources test different tasks, dates, prompts, and aggregation methods. EvalKit keeps those differences visible instead of merging them into a fake universal score.