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Alibaba / Qwen New Advanced

Qwen3.8-27B

Qwen3.8-27B is a verified current AI model with official specifications, pricing or access details, capabilities, practical use cases, strengths and limitations.

Multimodal Open-Weight ModelTextImageVideo Freemium
In plain English

What is this model and why does it matter?

Qwen3.8-27B is a 27B dense native vision-language model released in August 2026, improving coding and office productivity across text and visual inputs while supporting a 1M context window.

Local multimodal AICodingDocument analysisVisual reasoningEnterprise productivity
Model overview

Qwen3.8-27B: features, use cases and important details

Qwen3.8-27B is a current AI model verified from first-party Alibaba / Qwen sources.

Qwen3.8-27B verified specifications

Qwen3.8-27B is a 27B dense native vision-language model released in August 2026, improving coding and office productivity across text and visual inputs while supporting a 1M context window. Its verified context or usage limit is 1000000 tokens, with 131072 tokens maximum output.

Qwen3.8-27B pricing and access

Singapore international hosted pricing is $0.50 per 1M input tokens and $3 per 1M output tokens. The open-weight model is also released under Apache 2.0 for self-hosting.

Qwen3.8-27B best uses

Local multimodal AI, Coding, Document analysis, Visual reasoning, Enterprise productivity.

Qwen3.8-27B limitations

Self-hosting 27B multimodal weights requires substantial GPU resources, No hosted fine-tuning, Long contexts increase memory and cost.

Get started

How to use this model

  1. Use Alibaba Cloud Model Studio or download the official weights.
  2. Call qwen3.8-27b for hosted inference.
  3. Provide text, image or video input.
  4. Use function calling or structured outputs.
  5. Benchmark hosted versus self-hosted deployment.
Copy and try

Example prompts

  • Analyze this document and image together.
  • Review this code and UI screenshot.
  • Use tools to complete this office productivity workflow.
Capabilities

What it can do

  • 27B dense model
  • 1M context
  • 131K output
  • Text/image/video input
  • Function calling
  • Structured outputs
  • Apache 2.0
Best for

Practical use cases

  • Multimodal assistants
  • Coding
  • Document intelligence
  • Visual Q&A
  • Private deployments
Pricing

What does it cost?

Singapore international hosted pricing is $0.50 per 1M input tokens and $3 per 1M output tokens. The open-weight model is also released under Apache 2.0 for self-hosting.

Input$0.50 / 1M tokens (Singapore international)
Output$3.00 / 1M tokens (Singapore international)
Simple summaryHosted international pricing is $0.50/M input and $3/M output; self-hosting uses your own infrastructure.

What stands out

  • Apache 2.0
  • 1M context
  • Strong multimodality
  • Low hosted input price

Things to consider

  • Large self-hosting footprint
  • Hosted fine-tuning unsupported
  • Batch inference unsupported
Limitations

Important restrictions and trade-offs

  • Self-hosting 27B multimodal weights requires substantial GPU resources
  • No hosted fine-tuning
  • Long contexts increase memory and cost
SimplifyAITools verdict

Our editorial take

A very fresh and high-demand Qwen open-weight model with strong Hugging Face interest and practical 1M-context multimodal capability.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗
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