Enterprise DNAEnterprise DNA
LModelsBest vision
Qwen logo

Qwen3.5-Flash

by Qwen

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving hi

Q

Models

Qwen3.5-Flash

Added 10 July 2026

#qwen

Overview

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...

How to use / API access

Call via OpenRouter with model id `qwen/qwen3.5-flash-02-23`.

  • openrouter · qwen/qwen3.5-flash-02-23 Docs

OpenRouter id: qwen/qwen3.5-flash-02-23

Notes

Qwen3.5-Flash is listed in the EDNA Models directory from the OpenRouter catalogue.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

USAGE / OPENROUTER

How much Qwen3.5-Flash is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
74B ▲7.9%
Requests, last 7 days
32.1M
Tool calls, last 7 days
246K
People's vote
1397
Average cost per request
1.1¢
Price per million tokens
$0.065 in · $0.26 out
010B20B19 Sept: 8.9B tokens, 3.3M requests20 Sept: 8.9B tokens, 3.4M requests21 Sept: 10B tokens, 4.9M requests22 Sept: 8.3B tokens, 4.1M requests23 Sept: 8.7B tokens, 3.7M requests24 Sept: 8B tokens, 3.5M requests25 Sept: 10.9B tokens, 3.6M requests26 Sept: 7.6B tokens, 2.9M requests27 Sept: 5.8B tokens, 2.7M requests28 Sept: 10.8B tokens, 9.5M requests29 Sept: 9.9B tokens, 6M requests30 Sept: 10.1B tokens, 5.6M requests1 Oct: 11.8B tokens, 6.3M requests2 Oct: 9.3B tokens, 4.4M requests3 Oct: 9B tokens, 3.6M requests4 Oct: 8.3B tokens, 3.5M requests5 Oct: 8.5B tokens, 5.2M requests6 Oct: 9.4B tokens, 4.2M requests7 Oct: 9.7B tokens, 4.5M requests8 Oct: 10.5B tokens, 9.1M requests9 Oct: 9.6B tokens, 4.2M requests10 Oct: 7B tokens, 3.3M requests11 Oct: 6.8B tokens, 3.1M requests12 Oct: 10.1B tokens, 4.7M requests13 Oct: 11.7B tokens, 5.9M requests14 Oct: 12.8B tokens, 5M requests15 Oct: 11.2B tokens, 4.6M requests16 Oct: 12B tokens, 4.5M requests17 Oct: 9B tokens, 4.4M requests18 Oct: 9.1B tokens, 4.3M requests19 Oct: 11.1B tokens, 4.4M requests20 Oct: 12.2B tokens, 5M requests21 Oct: 9.5B tokens, 4.8M requests19 Sept3 Oct17 Oct21 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Compare this model with alternatives →