Qwen3.8 27B
Qwenhuggingface.co/Qwen/Qwen3.8-27B
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Updated 5 h ago · first seen 11 Sept 2026
model_01M294WVR4JWTTVTSEYX2E0VCE
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:Hugging Face Hub (public pages, model cards, papers)T2observed 7 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Architecture
- Architecture
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Model type
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Parameters
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
- Weights dtype
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- File size
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Library name
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Pipeline tag
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Hugging Face repo
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Capabilities
Modalities
- Modalities
- imagetextvideo
- Input
- imagetextvideo
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 9 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Benchmarks7
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
No benchmark results recorded
Providers & Pricing2
All offers in the price terminal →USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Price history
Output price · USD / 1M tokens 2 providers
- OpenRouter
- GroqCloud
- OpenRouter$3 → $2.5512 Sept 2026
- GroqCloudfirst observed $411 Sept 2026
- OpenRouterfirst observed $311 Sept 2026
Input price · USD / 1M tokens 2 providers
- OpenRouter
- GroqCloud
- OpenRouter$0.42 → $0.21412 Sept 2026
- GroqCloudfirst observed $0.8011 Sept 2026
- OpenRouterfirst observed $0.4211 Sept 2026
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 →Timeline15
Full timeline →OpenRouter changed pricing for Qwen3.8 27B: $0.42 in / $3 out per 1M tokens → $0.214 in / $2.55 out per 1M tokens
$0.42 in / $3 out→$0.214 in / $2.55 outopenrouterQwen3.8 27B: context length changed from 256000 to 1000000
Context window256K tokens→1M tokensopenrouterQwen3.8 27B scores 33.92% on Humanity's Last Exam
artificial_analysisQwen3.8 27B scores 33.9 on Artificial Analysis Intelligence Index
artificial_analysisQwen3.8 27B: context length changed from 1000000 to 256000
Context window1M tokens→256K tokensartificial_analysisQwen3.8 27B: release date changed from 2026-08-05 to 2026-08-14
Release date5 Aug 2026→14 Aug 2026openrouterQwen3.8 27B: release date changed from 2026-08-14 to 2026-08-05
Release date14 Aug 2026→5 Aug 2026huggingfaceGroqCloud lists Qwen3.8 27B at $0.8 in / $4 out per 1M tokens
groq_pricingOpenRouter lists Qwen3.8 27B at $0.42 in / $3 out per 1M tokens
openrouter
Change history43
Viewing AI Atlas as of 12 Aug 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Qwen3.8 27B was not yet in AI Atlas on 12 Aug 2026
Release daterelease_date5
Opennessopenness1
Licenselicense1
Architecturearchitecture1
Parametersparameter_count1
Context windowcontext_length3
Max outputmax_output_tokens1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Tokenizertokenizer1
File sizefile_size_gb1
Hugging Face repohf_repo1
Pipeline tagpipeline_tag1
Model cardmodel_card_url1
Downloadsmetric.downloads1
Likesmetric.likes3
Descriptiondescription1
Gatedgated1
Groq model idgroq_model_id1
Groq statusgroq_status1
Hf inference providershf_inference_providers1
Last modifiedlast_modified1
Library namelibrary_name1
Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1
Downloads all timemetric.downloads_all_time1
Model typemodel_type1
Openrouter idopenrouter_id1
Reasoningreasoning1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Visionvision1
Weights dtypeweights_dtype1
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
36
Source tiers
T1T22 / 34
Freshest observation
5 h ago
Conflicts
None
Source documents 17
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (74/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →