DeepSeek V3.2 Exp
DeepSeekfamily · DeepSeek-V3
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Updated 6 h ago · first seen 11 Sept 2026
model_01M294WWB78928015NA9WBEVMF
Overview
Identity
Identity block not returned by the API for this entity.
Openness
Openness not classified yet — no sourced evidence to place this model in the ontology.
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Status
Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted
- Version
Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Paper
Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted
- Repository
Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Architecture
- Architecture
Source:DeepSeek — site & API docsT2observed 14 h agomediumLLM-extracted
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Hugging Face repo
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Capabilities
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 10 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Knowledge cutoff
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Benchmarks6
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
No benchmark results recorded
Providers & Pricing1
All offers in the price terminal →USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Price history
Output price · USD / 1M tokens 1 provider
- DeepSeek API
- DeepSeek APIfirst observed $0.4111 Sept 2026
Input price · USD / 1M tokens 1 provider
- DeepSeek API
- DeepSeek APIfirst observed $0.2711 Sept 2026
Lineage
Open in Graph →- ancestor: V3.1-Terminus
Timeline12
Full timeline →DeepSeek V3.2 Exp: context length changed from 128000 to 163840
Context window128K tokens→163.8K tokensopenrouterDeepSeek V3.2 Exp scores 31.06% on Terminal-Bench
artificial_analysisDeepSeek V3.2 Exp scores 33.92% on τ²-bench
artificial_analysisDeepSeek V3.2 Exp scores 54.15% on IFBench
artificial_analysisDeepSeek V3.2 Exp scores 14.87% on Humanity's Last Exam
artificial_analysisDeepSeek V3.2 Exp scores 79.7% on GPQA
artificial_analysisDeepSeek V3.2 Exp scores 16.58 on Artificial Analysis Intelligence Index
artificial_analysisDeepSeek V3.2 Exp: context length changed from 163840 to 128000
Context window163.8K tokens→128K tokensartificial_analysisDeepSeek API lists DeepSeek V3.2 Exp at $0.27 in / $0.41 out per 1M tokens
openrouterDeepSeek V3.2 Exp: openness changed from open-weights to open-source
Opennessopen-weights→open-sourcedeepseekDeepSeek V3.2 Exp: status changed from deprecated to announced
Statusdeprecated→announceddeepseek
Change history16
Viewing AI Atlas as of 12 Mar 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →DeepSeek V3.2 Exp was not yet in AI Atlas on 12 Mar 2026
Release daterelease_date1
Context windowcontext_length1
Max outputmax_output_tokens1
Knowledge cutoffknowledge_cutoff1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Tokenizertokenizer1
Hugging Face repohf_repo1
Descriptiondescription1
Instruct typeinstruct_type1
Openrouter idopenrouter_id1
Reasoningreasoning1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
25
Source tiers
T225
Freshest observation
6 h ago
Conflicts
None
Source documents 3
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (59/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →