Skip to main content
AI Choice Engine

Qwen

Qwen 3.8 27B

Qwen 3.8 27B is a Qwen model with 262K context, $0.50 in / $3 out per million tokens, last verified October 1, 2026. Open weights: yes. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

Qwen 3.8 27B is Alibaba's compact deployment-friendly dense VLM — 262K native context (1M via YaRN), Apache 2.0 weights, distinct from the hosted Qwen 3.8 Max API.

Recorded profile verification October 1, 2026Individual provider fields may change

AI model specification details
SpecificationQwen 3.8 27B
ProviderQwen
TierBudget
Context window262K
Max outputNot verifiedUnverified
Input / 1M tokens$0.50
Output / 1M tokens$3
WeightsOpen
Parameters27B dense VLM (Gated DeltaNet hybrid)
Reasoning levelslow, medium, xhigh
Modalitiestext, image, video
LicenseApache 2.0
API model idqwen3.8-27b
ReleasedNot verifiedUnverified

Pricing tiers: Hosted qwen3.8-27b International lists $0.50/$3.00 per MTok; China lists $0.424/$1.696. QwenCloud implicit cache $0.10, explicit creation $0.625/read $0.05. Its hosted card lists 1M context/131K maximum response; the downloadable Apache-2.0 checkpoint has 262,144 native context. August 19 is the managed SKU listing, not proof of checkpoint release day.

Publisher evidence

Published benchmark results

Each result keeps its source date visible. Dates refer to source publication or capture unless the source explicitly states when it measured the result. A missing benchmark is not treated as a zero.

Published benchmark results for Qwen 3.8 27B
BenchmarkScoreSource dateSource
Artificial Analysis Intelligence Index [xhigh]Qwen3.8 27B (xhigh)342026-10-01Artificial Analysis · View source

Best for

  • Self-hosting on a single node
  • Multimodal input at small scale
  • Long-context on modest hardware

Watch out

Exact checkpoint release day and hard output cap remain unverified. Thinking defaults to xhigh and supports low/medium/xhigh or non-thinking; historical thinking is preserved by default. Runtime memory, quantization and context scaling need target-hardware verification. Managed 1M context/output limits do not transfer to native weights; video is input, text is output.

Source receipts

Catalog figures for this model were checked against the following sources.

Common questions

Qwen 3.8 27B

Answered from the verified figures on this page rather than general guidance.

How much does Qwen 3.8 27B cost per million tokens?
Qwen 3.8 27B lists base rates of $0.50 per million input tokens and $3 per million output tokens. Estimate both input and output token volume and any additional charges for your workload. Hosted qwen3.8-27b International lists $0.50/$3.00 per MTok; China lists $0.424/$1.696. QwenCloud implicit cache $0.10, explicit creation $0.625/read $0.05. Its hosted card lists 1M context/131K maximum response; the downloadable Apache-2.0 checkpoint has 262,144 native context. August 19 is the managed SKU listing, not proof of checkpoint release day.
What is Qwen 3.8 27B's context window?
Qwen 3.8 27B accepts about 262K tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is Qwen 3.8 27B best for?
Qwen 3.8 27B is a budget tier from Qwen. It suits self-hosting on a single node, multimodal input at small scale, long-context on modest hardware. Exact checkpoint release day and hard output cap remain unverified. Thinking defaults to xhigh and supports low/medium/xhigh or non-thinking; historical thinking is preserved by default. Runtime memory, quantization and context scaling need target-hardware verification. Managed 1M context/output limits do not transfer to native weights; video is input, text is output.
Can I self-host Qwen 3.8 27B?
Qwen 3.8 27B publishes open weights, but self-hosting depends on the licence, hardware footprint, quantisation quality, and serving stack. A hosted API is often cheaper until you have measured throughput and concurrency on your own hardware.