Alibaba
Qwen3.8 Omni Flash
qwen3.8-omni-flash
Total Context
1M
Max Output
131.1K
Released
N/A
Input$0.1143 / M tokens
Output$0.3857 / M tokens
Qwen3.5 Plus
qwen3.5-plusQwen3.5 Plus is the balanced member of the Qwen3.5 family, presented as a native vision-language model with strong efficiency and a large context window in hosted deployments. Official and third-party descriptions connect it to image/video understanding, general text work, and built-in tool support. It sits between Flash-style throughput and Max-style capability.
Context Window
1M tokens
Maximum Output
65.5K tokens
Release Date
Feb 16, 2026
Modalities
Qwen3.5 Plus Pricing
| Token Tier | Input Price | Output Price | Cache Create 5m | Cache Read 5m |
|---|---|---|---|---|
| <=128K | $0.1143/M | $0.6857/M | $0.1429/M | $0.0114/M |
| 128K-256K | $0.2857/M | $1.7143/M | $0.3571/M | $0.0286/M |
| >256K | $0.5714/M | $3.4286/M | $0.7143/M | $0.0571/M |
Qwen3.5 Plus API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Not supported
Knowledge Base
2025-04-01
Endpoint Protocols
Completions APIMessages APIgemini
Qwen3.5 Plus Model Highlights
Qwen3.5 Plus brings together native multimodal understanding, broad reasoning and coding capabilities, and million-token context for complex workloads.
General Reasoning
The Plus model is designed for broad text tasks spanning reasoning, instruction following and code generation.
Native Multimodality
Text, image and video inputs are processed within one vision-language model to support cross-modal analysis and reasoning.
Long-Context Analysis
A one-million-token context window allows the hosted model to connect information across extensive documents, media and conversation history.
Qwen3.5 Plus Use Cases
Qwen3.5 Plus is suited to complex research, multimodal document work and software development requiring coordinated analysis across large inputs.
Multimodal Research
Synthesize findings from reports, figures and videos, connecting evidence across formats into a structured research brief.
Software Development
Analyze requirements and existing code, generate implementations and explain changes for multi-file development tasks.
Document Intelligence
Extract, compare and summarize information from long documents containing text, tables and embedded visual material.
How to Use Qwen3.5 Plus via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Qwen 3.5 Plus FAQ
Qwen 3.5 Plus: capabilities, use cases, limits, and TokenHub guidance.
What is Qwen 3.5 Plus built for?+
Qwen 3.5 Plus is a Alibaba Qwen model for general multimodal conversation, coding, and agent tasks.
When is Qwen 3.5 Plus most useful?+
Best for image and video understanding, document analysis and general conversation, especially when multimodal input is the priority.
What distinguishes Qwen 3.5 Plus?+
Key strength: a strong balance of quality, multimodality, and production features and hybrid thinking that can switch between deliberate and direct responses.
What should I watch for?+
It belongs to an older generation and may lack newer capabilities. For the latest capabilities matter, consider Qwen 3.7 Plus.
How do I check availability?+
Use the exact ID shown by TokenHub; follow your account docs and verify current features.
Ready to use Qwen3.5 Plus?
Use one API key to access Qwen3.5 Plus and more AI models through TokenHub.
Media and Discussions
Selected public videos and posts related to this model.
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