Qwen3.8-27B

Qwen3.8-27B

Alibaba
5.0 out of 5 stars
Synap

Synap

Linkrra LLC
+
+

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About

Qwen3.8-27B is a compact open-weights model in Alibaba’s Qwen3.8 family, aimed at developers and researchers who want strong local AI performance without using the full Max-scale model. Reports from Alibaba’s Qwen3.8 launch state that Qwen3.8-27B was planned for open-weight release alongside Qwen3.8-Max, expanding access for builders working on AI applications. The model is positioned for coding, research, professional workflows, and local deployment scenarios where a 27B model can be more practical than frontier-scale systems. Qwen3.8’s broader launch emphasizes software development, document processing, data analysis, and professional “cowork” use cases. Qwen3.8-27B is especially relevant for teams that need a capable open model for experimentation, coding agents, assistant workflows, and self-hosted inference. Built for practical deployment, Qwen3.8-27B gives developers a smaller Qwen3.8 option for building AI tools, testing agents, and running advanced language model workflows.

About

Synap is a hosted inference API that gives developers an OpenAI-compatible endpoint for open-weight language models. Applications can connect through familiar OpenAI SDKs and chat-completion requests by changing the API base URL, key and model name. Its catalog includes models such as Qwen3, Qwen3-VL, Qwen3 Coder, Gemma 4 and gpt-oss-20b, with model-specific input and output token rates. Synap supports streaming and tool calling, and applies zero data retention to requests. Developers can use prepaid credits that do not expire, monthly plans, or pay-per-call USDC payments through x402. The service is designed for software developers, AI application builders and teams integrating model inference into applications and agent workflows.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Software developers, AI researchers, coding agent builders, local LLM users, startup teams, enterprise AI teams, infrastructure teams, data teams, and organizations that need an open-weights 27B model for coding assistance, agent testing, self-hosted inference, document processing, data analysis, workflow automation, model benchmarking, private deployment, and Qwen-family experimentation

Audience

Developers, startups and AI agent builders who need low-cost, OpenAI-compatible inference on open-weight models.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.0675/1M input tokens
Monthly plans start at $20/month. Prepaid credits start at $10 by card or $1 via TON or USDC and do not expire; monthly plan credits expire at the end of each month. The lowest catalog rate is $0.0675 per 1 million input tokens for qwen3-coder-30b, with output tokens at $0.27 per 1 million. USDC x402 pay-per-call is also available.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • A 27B model is big enough to be useful for serious coding, reasoning, writing, and local-agent workflows, but still small enough that developers can realistically experiment with quantized versions on enthusiast hardware. That is the sweet spot for a lot of builders. Not everyone wants a massive cloud-only model, and not every workflow needs a 2T+ parameter system. A strong 27B model can be great for private coding help, local RAG, repo exploration, prompt testing, and lightweight agents. I also like the open-weight/local angle. Community reports around Qwen3.8-27B are already focused on GGUFs, MLX builds, VRAM needs, and local performance, which is exactly the kind of ecosystem momentum that makes a model useful beyond a demo.

Cons

  • The main downside is clarity. I would want a stable official model card, confirmed architecture details, benchmarks, license info, and serving recommendations before treating it as a production-ready model.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Company Information

Linkrra LLC
Founded: 2026
United States
synap402.com

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Categories

Categories

AI Inference Supported
LLM API Supported

Integrations

Cline Supported
Alibaba Cloud Supported
Cherry Studio Supported
Claude Code Not Supported
ClinePass Supported
Codex CLI Not Supported
Hermes Agent Supported
Hugging Face Supported
ModelScope Supported
Novita AI Supported
Odysseus Supported
OfoxAI Supported
Ollama Supported
OpenAI Not Supported
Perplexity Decider Supported
Python Supported
Qwen Supported
Qwen Code Supported
Qwen Studio Supported
QwenCloud Supported

Integrations

Cline Supported
Alibaba Cloud Not Supported
Cherry Studio Not Supported
Claude Code Supported
ClinePass Not Supported
Codex CLI Supported
Hermes Agent Not Supported
Hugging Face Not Supported
ModelScope Not Supported
Novita AI Not Supported
Odysseus Not Supported
OfoxAI Not Supported
Ollama Not Supported
OpenAI Supported
Perplexity Decider Not Supported
Python Not Supported
Qwen Not Supported
Qwen Code Not Supported
Qwen Studio Not Supported
QwenCloud Not Supported
Claim Qwen3.8-27B and update features and information
Claim Qwen3.8-27B and update features and information
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