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Qwen3.5 9B
Qwen3.5 9B

Open WeightsChat & ReasoningtextUpdated February 23, 2026
Some details or benchmark scores on this page are self-reported by developers and unconfirmed.

Qwen3.5 9B

📌 Model Overview

Qwen instruction model for multilingual chat, reasoning, and tool use

Qwen3.5 9B is a Open Weights model developed by Alibaba, released on 2026-02-23. It is designed primarily for Chat Reasoning workloads. Featuring a 262K tokens context window and 9B parameter count, it offers robust performance for enterprise integration, developers, and researchers.


✨ Key Features & Capabilities

Specification Table
FeatureDescription
Context Window262K tokens capacity for extended prompts and multi-turn workflows
Primary TaskOptimized for Chat Reasoning
Deploymentself-hostable, api-only
Modalitytext
Max OutputMax Output: 66K tokens
Native reasoning capabilityNative reasoning capability
Tool / function calling supportTool / function calling support

⚙️ Technical Specifications

Specification Table
SpecificationDetails
Developer / LabAlibaba
Release Date2026-02-23
Model TypeOpen Weights
Parameters9B
Context Window262K tokens
LicenseApache-2.0
Model Familyqwen

💰 Pricing

Specification Table
Tier / UnitRate (USD)
1M input tokens$0.04
1M output tokens$0.15
1M cache read tokens$0.008

🔗 Resources & Links

Specification Table

📜 License & Usage

This model is governed by the Apache-2.0 license. Please check official developer guidelines before commercial deployment.

Key Features

Max Output: 66K tokens

Feature 01

Native reasoning capability

Feature 02

Tool / function calling support

Feature 03

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Verified Sources

Tags

reasoningtool-callingstructured-outputopen-weights

Model Specs

open-weights

Parameters

9B

Context Window

262K tokens

License

Apache-2.0

Deployment

self-hostableapi-only

Pricing

  • 1M input tokens$0.04
  • 1M output tokens$0.15
  • 1M cache read tokens$0.008

as of 2026-07-26

Resources & Links

Lineage

Curator Notes

Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.

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