Specification

Family: Qwen2.5
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Version: 1M
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Release date: 27 Jan 2025
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Status: active
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Openness: open-source
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Architecture: transformer decoder
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Context window: 1M tokens
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Modalities: text
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Input modalities: text
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Output modalities: text
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Languages: English, Simplified Chinese
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Official page: qwen.ai
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Model card: qwen.ai
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Paper: qwen.ai
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Repository: github.com/QwenLM/vllm
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted

Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →

Provenance

Attributed facts

19

Source tiers

T219

Freshest observation

9 h ago

Conflicts

None

Modalities

Modalities: text
Input: text
Output: text

Capabilities

Tool calling
Yes
Qwen — official blog · T2
Structured output
Unavailable
Reasoning
Unavailable
Vision
Yes
Qwen — official blog · T2
Audio
No
Qwen — official blog · T2
Fine-tuning available
Unavailable

Context window: 1M tokens
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted
Languages: English, Simplified Chinese
Source:Qwen — official blogT2observed 9 h agomediumLLM-extracted

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Current prices

No current prices recorded

Prices appear when a provider publishes a public pricing page we crawl.

Price history

No hardware estimate available

Estimates need a parameter count; this model has none recorded from a source.

No lineage recorded

Lineage comes from explicit `derived_from`, `fine_tuned_from`, `distilled_from` and `quantized_from` relations stated by sources.

Papers 0

No papers linked yet.

Repositories 0

No repositories linked yet.

As of

Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.

Claim history · Hardware requirements

1 claims · 1 propertiesShow all properties

Hardware requirementshardware_requirements1

Claim history for Hardware requirements
Value	Valid from → to	Status	Source	Confidence	Extractor
GPUs with Ampere or Hopper architecture; CUDA 12.1 or 12.3; Python >=3.9 and <=3.12. Qwen2.5-7B-Instruct-1M requires at least 120GB VRAM. Qwen2.5-14B-Instruct-1M requires at least 320GB VRAM.	11 Sept 2026 20:58 UTC → current	current	Qwen — official blogT2	medium	llm

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 →

27 Jan 2025
New modelModelQwen2.5-1MQwen Team
New model: Qwen2.5-1M (Qwen Team)
qwen
qwenlm.github.io

Full timeline →

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
Qwen — official blog	qwenlm.github.io/blog/qwen2.5-1m	news	T1· Official	9 h ago	1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.