Updated 5 h ago · first seen 12 Sept 2026
model_01M29X37HMXPWD8GV80H5V8YXK
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:Qwen — official blogT2observed 13 h agomediumLLM-extracted
- Status
Source:Qwen — official blogT2observed 13 h agomediumLLM-extracted
- Version
Source:Qwen — official blogT2observed 13 h agomediumLLM-extracted
- Official page
Source:Qwen — official blogT2observed 13 h agomediumLLM-extracted
- Paper
Source:Qwen — official blogT2observed 13 h agomediumLLM-extracted
Architecture
- Architecture
Source:Qwen — official blogT2observed 13 h agomediumLLM-extracted
- Parameters
Source:Qwen — official blogT2observed 13 h agomediumLLM-extracted
- Active parameters
Source:Qwen — official blogT2observed 13 h agomediumLLM-extracted
- Mixture of experts
Source:Qwen — official blogT2observed 13 h agomediumLLM-extracted
Capabilities
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Yes
Qwen — official blog · T2
Vision
No
Qwen — official blog · T2
Audio
No
Qwen — official blog · T2
Fine-tuning available
Yes
Qwen — official blog · T2
- Context window
Source:Qwen — official blogT2observed 13 h agomediumLLM-extracted
- Languages
Source:Qwen — official blogT2observed 13 h agomediumLLM-extracted
Hardware fit37
Assumptions (6)
- Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
- bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
- KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
- A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
- Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
- Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
Lineage
Open in Graph →- ancestor: Qwen2.5
- ancestor: Qwen2.5-Coder-Base
- ancestor: Qwen2
Timeline7
Full timeline →Qwen2.5-Coder: languages changed from ["92 programming languages"] to ["Chinese", "English"]
Languages92 programming languages→Chinese, EnglishqwenQwen2.5-Coder: architecture changed from transformer to Transformer
Architecturetransformer→TransformerqwenQwen2.5-Coder: license changed from Apache 2.0 to Apache 2.0 (for 0.5B, 1.5B, 7B, 14B, 32B); Qwen-Research …
LicenseApache 2.0→Apache 2.0 (for 0.5B, 1.5B, 7B, 14B, 32B); Qwen-Research (for 3B)qwenQwen2.5-Coder: status changed from active to open-source
Statusactive→open-sourceqwenQwen2.5-Coder: release date changed from 2024-09-19 to 2024-11-12
Release date19 Sept 2024→12 Nov 2024qwenQwen2.5-Coder: family changed from Qwen2.5 to Qwen2.5-Coder
FamilyQwen2.5→Qwen2.5-Coderqwen
Change history28
Viewing AI Atlas as of 1 Jan 2025 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Qwen2.5-Coder was not yet in AI Atlas on 1 Jan 2025
Familyfamily2
Versionversion1
Release daterelease_date2
Statusstatus2
Opennessopenness1
Licenselicense2
Architecturearchitecture2
Parametersparameter_count1
Active parametersactive_parameter_count1
Mixture of expertsis_moe1
Context windowcontext_length1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Languageslanguages2
Official pageofficial_url1
Paperpaper_url1
Audioaudio1
Fine-tuning availablefine_tuning_available1
Reasoningreasoning1
Training data notestraining_data_notes1
Visionvision1
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
22
Source tiers
T222
Freshest observation
13 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 (61/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →