Skip to content
AI Atlas
ModelActive

Qwen2.5

Qwen Teamfamily · Qwen

Open in Graph
quality61

Updated 3 h ago · first seen 12 Sept 2026

model_01M29X37HCFESK6GEZVEDZKA82

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 10 h agomediumLLM-extracted

Status

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Version

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Official page
qwen.ai

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Paper
qwenlm.github.io/blog/qwen2.5

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Repository
huggingface.co/Qwen

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Architecture

Architecture

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Parameters

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Active parameters

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Mixture of experts

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    Qwen — official blog · T2

  • Structured output

    Yes

    Qwen — official blog · T2

  • 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 10 h agomediumLLM-extracted

Max output

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Languages

Source:Qwen — official blogT2observed 10 h agomediumLLM-extracted

Hardware fit37

Estimated

23 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—42.3 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—42.3 GB est.Yes
Apple M2 Ultra4bit—42.3 GB est.Yes
Apple M1 Ultra4bit—42.3 GB est.Yes
Apple M3 Max4bit—42.3 GB est.Yes
Apple M4 Max4bit—42.3 GB est.Yes
Mac Studio (Apple M5 Max)4bit—42.3 GB est.Yes
MacBook Pro (Apple M5 Max)4bit—42.3 GB est.Yes
Apple M2 Max4bit—42.3 GB est.Yes
Apple M1 Max4bit—42.3 GB est.Yes
Apple M4 Pro4bit—42.3 GB est.Yes
Mac mini (Apple M5 Pro)4bit—42.3 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit—42.3 GB est.Yes
NVIDIA A100 80GB4bit80 GB42.3 GB est.Yes
NVIDIA H100 SXM4bit80 GB42.3 GB est.Yes
NVIDIA H100 NVL4bit94 GB42.3 GB est.Yes
NVIDIA DGX Spark4bit128 GB42.3 GB est.Yes
NVIDIA H2004bit141 GB42.3 GB est.Yes
NVIDIA H200 NVL4bit141 GB42.3 GB est.Yes
NVIDIA B2004bit180 GB42.3 GB est.Yes
AMD Instinct MI300X4bit192 GB42.3 GB est.Yes
AMD Instinct MI325X4bit256 GB42.3 GB est.Yes
NVIDIA DGX B2004bit1,440 GB42.3 GB est.Yes
Apple M3 Pro4bit—42.3 GB est.No
Apple M1 Pro4bit—42.3 GB est.No
Apple M2 Pro4bit—42.3 GB est.No
Apple M44bit—42.3 GB est.No
iMac (Apple M4)4bit—42.3 GB est.No
Mac mini (Apple M6)4bit—42.3 GB est.No
MacBook Air (Apple M5)4bit—42.3 GB est.No
MacBook Pro (Apple M5)4bit—42.3 GB est.No
Apple M24bit—42.3 GB est.No
Apple M34bit—42.3 GB est.No
Apple M14bit—42.3 GB est.No
NVIDIA GeForce RTX 30904bit24 GB42.3 GB est.No
NVIDIA GeForce RTX 40904bit24 GB42.3 GB est.No
NVIDIA GeForce RTX 50904bit32 GB42.3 GB est.No
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 →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
ANCESTORS 1DESCENDANTS 2Qwen2Qwen2Qwen2.5-Coder32.5BQwen2.5-Coder — 32.5BQwen2.5-MathQwen TeamQwen2.5-Math — Qwen TeamQwen2.572.7B params · this modelQwen2.5 — 72.7B params · this model

Timeline8

Full timeline →
  • Property changedModelQwen2.5Qwen Team

    Qwen2.5: official url changed from https://qwen.ai to qwen.ai

    Official pagehttps://qwen.ai→qwen.aiqwen
    qwenlm.github.io
  • Property changedModelQwen2.5Qwen Team

    Qwen2.5: languages changed from ["Arabic", "Chinese", "English", "French", "German", "Ita… to ["Arabic", "English", "French", "Indonesian", "Japanese",…

    LanguagesArabic, Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Thai, Vietnamese→Arabic, English, French, Indonesian, Japanese, Korean, Portuguese, Spanish, Turkish, Vietnameseqwen
    qwenlm.github.io
  • Max output changedModelQwen2.5Qwen Team

    Qwen2.5: max output tokens changed from 8000 to 8192

    Max output8K tokens→8.19K tokensqwen
    qwenlm.github.io
  • Context window changedModelQwen2.5Qwen Team

    Qwen2.5: context length changed from 128000 to 131072

    Context window128K tokens→131.1K tokensqwen
    qwenlm.github.io
  • Parameters changedModelQwen2.5Qwen Team

    Qwen2.5: parameter count changed from 72000000000 to 72700000000

    Parameters72B→72.7Bqwen
    qwenlm.github.io
  • Property changedModelQwen2.5Qwen Team

    Qwen2.5: architecture changed from dense, decoder-only to decoder-only dense

    Architecturedense, decoder-only→decoder-only denseqwen
    qwenlm.github.io
  • License changedModelQwen2.5Qwen Team

    Qwen2.5: license changed from Apache 2.0 to Apache 2.0 (most models), Qwen Research License (Qwen2.5-…

    LicenseApache 2.0→Apache 2.0 (most models), Qwen Research License (Qwen2.5-3B), Qwen License (Qwen2.5-72B)qwen
    qwenlm.github.io
  • New modelModelQwen2.5Qwen Team

    New model: Qwen2.5 (Qwen Team)

    qwen
    qwenlm.github.io

Change history33

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
33 claims · 26 properties

Familyfamily1

Claim history for Family
ValueValid from → toStatusSourceConfidenceExtractor
Qwen → currentcurrentQwen — official blogT2mediumllm

Versionversion1

Claim history for Version
ValueValid from → toStatusSourceConfidenceExtractor
2.5 → currentcurrentQwen — official blogT2mediumllm

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
19 Sept 2024 → currentcurrentQwen — official blogT2mediumllm

Statusstatus1

Claim history for Status
ValueValid from → toStatusSourceConfidenceExtractor
active → currentcurrentQwen — official blogT2mediumllm

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentQwen — official blogT2mediumllm

Licenselicense2

Claim history for License
ValueValid from → toStatusSourceConfidenceExtractor
Apache 2.0 (most models), Qwen Research License (Qwen2.5-3B), Qwen License (Qwen2.5-72B) → currentcurrentQwen — official blogT2mediumllm
Apache 2.0 → supersededQwen — official blogT2mediumllm

Architecturearchitecture2

Claim history for Architecture
ValueValid from → toStatusSourceConfidenceExtractor
decoder-only dense → currentcurrentQwen — official blogT2mediumllm
dense, decoder-only → supersededQwen — official blogT2mediumllm

Parametersparameter_count2

Claim history for Parameters
ValueValid from → toStatusSourceConfidenceExtractor
72.7B → currentcurrentQwen — official blogT2mediumllm
72B → supersededQwen — official blogT2mediumllm

Active parametersactive_parameter_count1

Claim history for Active parameters
ValueValid from → toStatusSourceConfidenceExtractor
70B → currentcurrentQwen — official blogT2mediumllm

Mixture of expertsis_moe1

Claim history for Mixture of experts
ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentQwen — official blogT2mediumllm

Context windowcontext_length2

Claim history for Context window
ValueValid from → toStatusSourceConfidenceExtractor
131.1K tokens → currentcurrentQwen — official blogT2mediumllm
128K tokens → supersededQwen — official blogT2mediumllm

Max outputmax_output_tokens2

Claim history for Max output
ValueValid from → toStatusSourceConfidenceExtractor
8.19K tokens → currentcurrentQwen — official blogT2mediumllm
8K tokens → supersededQwen — official blogT2mediumllm

Modalitiesmodalities1

Claim history for Modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentQwen — official blogT2mediumllm

Input modalitiesmodalities_input1

Claim history for Input modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentQwen — official blogT2mediumllm

Output modalitiesmodalities_output1

Claim history for Output modalities
ValueValid from → toStatusSourceConfidenceExtractor
text → currentcurrentQwen — official blogT2mediumllm

Languageslanguages2

Claim history for Languages
ValueValid from → toStatusSourceConfidenceExtractor
Arabic, English, French, Indonesian, Japanese, Korean, Portuguese, Spanish, Turkish, Vietnamese → currentcurrentQwen — official blogT2mediumllm
Arabic, Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Thai, Vietnamese → supersededQwen — official blogT2mediumllm

Official pageofficial_url2

Claim history for Official page
ValueValid from → toStatusSourceConfidenceExtractor
qwen.ai → currentcurrentQwen — official blogT2mediumllm
https://qwen.ai → supersededQwen — official blogT2mediumllm

Paperpaper_url1

Claim history for Paper
ValueValid from → toStatusSourceConfidenceExtractor
https://qwenlm.github.io/blog/qwen2.5/ → currentcurrentQwen — official blogT2mediumllm

Repositoryrepository_url1

Claim history for Repository
ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/Qwen → currentcurrentQwen — official blogT2mediumllm

Audioaudio1

Claim history for Audio
ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentQwen — official blogT2mediumllm

Fine-tuning availablefine_tuning_available1

Claim history for Fine-tuning available
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentQwen — official blogT2mediumllm

Reasoningreasoning1

Claim history for Reasoning
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentQwen — official blogT2mediumllm

Structured outputstructured_output1

Claim history for Structured output
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentQwen — official blogT2mediumllm

Tool callingtool_calling1

Claim history for Tool calling
ValueValid from → toStatusSourceConfidenceExtractor
Yes → currentcurrentQwen — official blogT2mediumllm

Training data notestraining_data_notes1

Claim history for Training data notes
ValueValid from → toStatusSourceConfidenceExtractor
Pretrained on up to 18 trillion tokens. Qwen2.5-Coder trained on 5.5 trillion tokens of code-related data. Qwen2.5-Math pretrained on larger-scale math related data including synthetic data generated by Qwen2-Math. → currentcurrentQwen — official blogT2mediumllm

Visionvision1

Claim history for Vision
ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentQwen — official blogT2mediumllm

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

26

Source tiers

T226

Freshest observation

10 h ago

Conflicts

None

Source documents 6

Source documents
SourceDocumentTypeTierLast observedSnapshots
Qwen — official blogqwenlm.github.io/blog/qwen2.5-math newsT1· Official10 h ago1
Qwen — official blogqwenlm.github.io/blog/qwen2.5-coder newsT1· Official10 h ago1
Qwen — official blogqwenlm.github.io/blog/qwen2.5-llm newsT1· Official10 h ago1
Qwen — official blogqwenlm.github.io/blog/qwen2.5 newsT1· Official10 h ago1
Qwen — official blogqwenlm.github.io/blog/qwen2.5-turbo newsT1· Official10 h ago1
Qwen — official blogqwenlm.github.io/blog/qwen3 newsT1· Official10 h ago1

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 →