Updated 5 h ago · first seen 12 Sept 2026
model_01M29XGXKHECS58HGS8CZ1SY0Q
Overview
Identity
- Canonical model
- Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- None recordedofficial_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
- NoneIdentifiers 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
Open weights— weights downloadable under Apache-2.0; commercial use allowed; redistribution allowed; derivatives allowed; 4 dimensions unknown.
Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.
Weights
Yes
Inference code
—
Training code
—
Training data
—
Dataset
—
Commercial use
Yes
Redistribution
Yes
Derivatives
Yes
Licence: Apache License 2.0 (permissive · SPDX Apache-2.0 · stated as “Apache 2.0”)
dimensions marked null are unknown, not false
Key facts
- Release date
Source:Qwen — official blogT2observed 14 h agomediumLLM-extracted
- Status
Source:Qwen — official blogT2observed 14 h agomediumLLM-extracted
- Version
Source:Qwen — official blogT2observed 14 h agomediumLLM-extracted
- Knowledge cutoff
Source:Qwen — official blogT2observed 14 h agomediumLLM-extracted
- Official page
- qwen.ai
Source:Qwen — official blogT2observed 14 h agomediumLLM-extracted
Architecture
- Architecture
Source:Qwen — official blogT2observed 14 h agomediumLLM-extracted
Capabilities
Modalities
- Modalities
- imagetextvideo
- Input
- imagetextvideo
- Output
- text
Capabilities
Tool calling
Yes
Qwen — official blog · T2
Structured output
Unavailable
Reasoning
Yes
Qwen — official blog · T2
Vision
Yes
Qwen — official blog · T2
Audio
No
Qwen — official blog · T2
Fine-tuning available
Unavailable
- Knowledge cutoff
Source:Qwen — official blogT2observed 14 h agomediumLLM-extracted
- Languages
Source:Qwen — official blogT2observed 14 h agomediumLLM-extracted
Lineage
Open in Graph →- ancestor: Qwen2
Versions & Artifacts0
Version history
Knowledge cutofffirst observation only
11 Sept 2026current
Licensefirst observation only
11 Sept 2026current
Opennessfirst 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.
Change history
Redistribution allowedredistribution_allowed1
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
23
Source tiers
T223
Freshest observation
5 h ago
Conflicts
None
Source documents 2
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 →