Updated 3 h ago · first seen 11 Sept 2026
model_01M29A5BN5SC5MNX1YRJ5ZHD0N
Overview
Identity
- Canonical model
- Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- None recorded — closed weightsofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
- Artifacts
- None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
- Provider deployments
- None recorded
- API aliases
- deepseek-v4-proIdentifiers under which providers and evaluators refer to this model.
- Folded evaluation variants
- 0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.
Openness
Closed / proprietary— weights not available; 7 dimensions unknown.
Weights are not available; the model is reachable only through an API or a product.
Weights
No
Inference code
—
Training code
—
Training data
—
Dataset
—
Commercial use
—
Redistribution
—
Derivatives
—
dimensions marked null are unknown, not false
Key facts
- Release date
Source:DeepSeek — site & API docsT2observed 13 h agomediumLLM-extracted
- Status
Source:DeepSeek — site & API docsT2observed 13 h agomediumLLM-extracted
- Version
Source:DeepSeek — site & API docsT2observed 13 h agomediumLLM-extracted
Architecture
- Architecture
Source:DeepSeek — site & API docsT2observed 13 h agomediumLLM-extracted
Capabilities
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
DeepSeek — site & API docs · T2
Structured output
Unavailable
Reasoning
Yes
Artificial Analysis · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:Artificial AnalysisT2observed 11 h agomedium
Benchmarks20
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 20 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →
Versions & Artifacts0
Version history
Openness1 change
11 Sept 2026→11 Sept 2026
Context windowfirst observation only
11 Sept 2026current
Statusfirst observation only
11 Sept 2026current
Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Timeline6
Full timeline →deepseek-v4-pro scores 78.65% on Terminal-Bench
artificial_analysisdeepseek-v4-pro scores 14.14% on Terminal-Bench
artificial_analysisdeepseek-v4-pro scores 51.04% on SciCode
artificial_analysisdeepseek-v4-pro scores 41.01% on Humanity's Last Exam
artificial_analysisdeepseek-v4-pro scores 92.83% on GPQA Diamond
artificial_analysisdeepseek-v4-pro scores 36.28 on Artificial Analysis Intelligence Index
artificial_analysis
Change history
Statusstatus1
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
16
Source tiers
T216
Freshest observation
3 h ago
Conflicts
None
Source documents 4
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (60/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →