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DeepSeek · mit

DeepSeek-V3.2-Exp

DeepSeek-V3.2-Exp by DeepSeek appears in 2 sources with Reasoning at 35.69. Best read for Code quality, Coding, High intelligence.

CreatorDeepSeek
Release date2025-09-29
Knowledge cutoffNot published
ContextUnknown
Input priceUnknown
Output priceUnknown
Modalitytext
CountryCN

Metrics

All source-backed metrics

Open in leaderboard
LLM Stats Rank72ranking · source_rank
Reasoning35.69reasoning · index_reasoning
Math33.44math · index_math
Coding21.73coding · index_code
Research1.46research · index_search
Vision15.78multimodal · index_vision
Finance38.71domain · index_finance
Legal38.68domain · index_legal
Healthcare38.44domain · index_healthcare
GPQA79.9 %reasoning · gpqa_score
AIME 202589.3 %math · aime_2025_score
SWE-bench Verified67.8 %coding · swe_bench_verified_score
Code Arena749.69 %coding · coding_arena_score
Humanity Last Exam19.8 %reasoning · hle_score
SimpleQA97.1 %knowledge · simpleqa_score
BrowseComp40.1 %research · browsecomp_score
Terminal Bench37.7 %coding · terminal_bench_score
Parameters685,000,000,000 paramsmodel · params
Arena Rating1,422.53metric
Arena Rank61metric
Vote Count11,937metric

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-Exp 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.