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DeepSeek · mit
DeepSeek-V3.2
DeepSeek-V3.2 by DeepSeek appears in 2 sources with Reasoning at 41.8. Best read for Code quality, Coding, High intelligence.
CreatorDeepSeek
Release date2025-12-01
Knowledge cutoffNot published
ContextUnknown
Input priceUnknown
Output priceUnknown
Modalitytext
CountryCN
Metrics
All source-backed metrics
LLM Stats Rank92ranking · source_rank
Reasoning41.8reasoning · index_reasoning
Math38.84math · index_math
Coding28.01coding · index_code
Research13.82research · index_search
Vision28.67multimodal · index_vision
Tool calling15.02tool_calling · index_tool_calling
Finance39.29domain · index_finance
Legal39.26domain · index_legal
Healthcare39.01domain · index_healthcare
GPQA82.4 %reasoning · gpqa_score
AIME 202593.1 %math · aime_2025_score
SWE-bench Verified73.1 %coding · swe_bench_verified_score
Code Arena550.35 %coding · coding_arena_score
Humanity Last Exam40.8 %reasoning · hle_score
BrowseComp51.4 %research · browsecomp_score
Toolathlon35.2 %tool_calling · toolathlon_score
Parameters685,000,000,000 paramsmodel · params
Arena Rating1,423.28metric
Arena Rank60metric
Vote Count45,034metric
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 DeepSeek-V3.2 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.