- Teams deploying open models at scale with demanding throughput requirements
- Developers evaluating multimodal open models with long-context support
- Builders comparing Qwen3.5 against other MoE architectures for cost-performance tradeoffs
Models
Qwen3.5
Alibaba's flagship open model with 397B-A17B MoE architecture, 8.6× decoding improvement over Qwen3, multimodal, 256K context.
27K Stars
Apache-2.0 License
Open sourceLocal firstSelf-hosted
About
Qwen3.5 overview
Alibaba's flagship open model with 397B-A17B MoE architecture, 8.6× decoding improvement over Qwen3, multimodal, 256K context.
Compare
How it compares
Evaluate Qwen3.5 against nearby options by workload fit, license, and deployment model.
FAQ
Questions
What should I check before using Qwen3.5?
Test screenshots or documents that match your real inputs, then inspect OCR accuracy, spatial reasoning, and serving cost.
Is Qwen3.5 open source?
Qwen3.5 is listed on OpenAgent.bot with Apache-2.0 based on the current resource metadata. Re-check the official repository, docs, and license before production use.
Tags
Capabilities
Decision brief
JSON
Should you use Qwen3.5?
- Use cases that require verified safety behavior documentation beyond model card review
- Teams that need a smaller dense model rather than a large MoE architecture
- Verified 2026-06-16
- License: Apache-2.0
- Repo: QwenLM/Qwen3
- Open-source signal
Deployment
local, self hosted, cloud
Permission surface
shell/files, memory
Decision signals
Local first, Self-hostable
Agent packet
Structured decision data for Qwen3.5
This packet is the compact machine-readable view agents should use before following source links or taking action.
Capabilities
local inference, inference
Constraints
open source, open weights, self hosted, local first
Deployment
local, self hosted, cloud
Permission surface
shell/files, memory
Recommended workflows
Local or private AI stack
Overview
What Qwen3.5 does
What it is
Qwen3.5 is a model in the models category. Alibaba's flagship open model with 397B-A17B MoE architecture, 8.6× decoding improvement over Qwen3, multimodal, 256K context.
Why it matters
Qwen3.5 delivers a massive 8.6× decoding speed improvement over Qwen3 with its 397B-A17B MoE architecture, making it one of the most compelling open model families for high-throughput production workloads.
How to evaluate it
Evaluate Qwen3.5 by starting from the official sources, checking its docs, demo interface surface, and running one narrow workflow before expanding scope. Recorded integrations include GitHub, Hugging Face.
Facts
Known metadata and operating surface
These fields are separated from editorial interpretation so agents can reason over facts and missing checks.
Resource type model
Category Models
Maturity active
Difficulty Unknown
License Apache-2.0
Pricing open source
Verified 2026-06-16
Source confidence medium
Risk level elevated
Fit matrix
Where Qwen3.5 fits in an agent stack
strong
Local or private AI stack
Qwen3.5 has multiple signals for local or private ai stack, including matching tags, capabilities, category, or positioning.
- Verify hardware requirements, data path, storage, and whether all calls stay in your environment.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Browser automation
Qwen3.5 has at least one signal for browser automation, but should be checked against a real task before adoption.
- Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Coding agent workflow
Qwen3.5 has at least one signal for coding agent workflow, but should be checked against a real task before adoption.
- Run a small repository change and inspect the diff, tests, and rollback path.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Evaluation and observability
Qwen3.5 has at least one signal for evaluation and observability, but should be checked against a real task before adoption.
- Add one repeatable test case and confirm results can run again in review or CI.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial
Memory or RAG workflow
Qwen3.5 has at least one signal for memory or rag workflow, but should be checked against a real task before adoption.
- Create, update, retrieve, correct, and delete memory or retrieval objects with real data.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak
Connector or protocol layer
Qwen3.5 is not primarily positioned for connector or protocol layer in the current metadata.
- Connect one low-risk service, then inspect schemas, auth scope, errors, and logs.
- Confirm official docs, current maintenance, license, and runtime constraints before production use.
Inputs and outputs
What an agent should inspect
Likely inputs
- Repositories, files, issues, terminal output, and test results
- Prompts, messages, documents, images, or model inputs
- Official setup instructions and a small real workflow
Likely outputs
- Diffs, commits, explanations, test results, or review notes
- Scores, traces, regression results, dashboards, or failure cases
- A decision on whether this resource fits the target workflow
Evidence
Sources, claims, and missing checks
Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.
Qwen3.5 is listed as open source.
License metadata: Apache-2.0Qwen3.5 has a recorded GitHub repository: QwenLM/Qwen3.
Resource facts and GitHub source link.Qwen3.5 supports these recorded deployment modes: local, self hosted, cloud.
OpenAgent decision signal metadata.Qwen3.5 is tagged with local inference, inference capabilities.
OpenAgent capability taxonomy.- Dedicated docs link is missing.
- Repository freshness has not been recorded.
Next action
How to start evaluating Qwen3.5
Inspect repository
Check license, recent activity, issues, examples, and security-sensitive code paths.
Open source Compare
Alternatives and nearby resources
Use related resources to compare category fit, license, deployment model, and first-workflow behavior.
FAQ
Common questions about Qwen3.5
What is Qwen3.5 used for?
Qwen3.5 is used as a model for models workflows. The most relevant recorded capabilities are local inference, inference.
Is Qwen3.5 open source?
Qwen3.5 is listed as open source with Apache-2.0 license metadata. Re-check the official repository or source link before production use.
Can agents use Qwen3.5 directly?
Qwen3.5 has recorded interfaces such as docs, demo. Agents should prefer the JSON or Markdown profile first, then follow official docs for real execution.
What should I check before production use?
Check source confidence (medium), risk level (elevated), license, maintenance freshness, permission surface, required credentials, and whether the first workflow succeeds in a sandbox.