Enterprise DNAEnterprise DNA
LModelsBest vision
Qwen logo

Qwen3.8 27B

by Qwen

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks

Q2

Models

Qwen3.8 27B

Added 3 Sept 2026

#qwen

Overview

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

How to use / API access

Call via OpenRouter with model id `qwen/qwen3.8-27b`.

  • openrouter · qwen/qwen3.8-27b Docs

OpenRouter id: qwen/qwen3.8-27b

Benchmarks

  • Intelligence Index (artificial-analysis): 33.7 index
  • Coding Index (artificial-analysis): 68.1 index
  • Agentic Index (artificial-analysis): 45.8 index

Notes

Qwen3.8 27B 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 Qwen3.8 27B is used

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

Tokens, last 7 days
410B ▼17.2%
Requests, last 7 days
24.4M
Tool calls, last 7 days
6.3M
Intelligence score
33.7
People's vote
1441
Average cost per request
13.6¢
Price per million tokens
$0.24 in · $2.2 out
0100B200B19 Sept: 34.8B tokens, 1.3M requests20 Sept: 46.2B tokens, 2.2M requests21 Sept: 60.6B tokens, 2.2M requests22 Sept: 64.2B tokens, 2.9M requests23 Sept: 68.3B tokens, 3.6M requests24 Sept: 65.5B tokens, 3.2M requests25 Sept: 54.3B tokens, 2.6M requests26 Sept: 60.6B tokens, 2.9M requests27 Sept: 42.1B tokens, 3.3M requests28 Sept: 53.9B tokens, 2.7M requests29 Sept: 60.5B tokens, 2.5M requests30 Sept: 81.4B tokens, 4.3M requests1 Oct: 74B tokens, 3.5M requests2 Oct: 98.6B tokens, 3.6M requests3 Oct: 119B tokens, 3.8M requests4 Oct: 166B tokens, 4.9M requests5 Oct: 124B tokens, 4.7M requests6 Oct: 77.8B tokens, 3.1M requests7 Oct: 92.1B tokens, 3.9M requests8 Oct: 58.6B tokens, 3.6M requests9 Oct: 46.9B tokens, 3.2M requests10 Oct: 46.7B tokens, 2.6M requests11 Oct: 49.4B tokens, 2.6M requests12 Oct: 56.3B tokens, 3.1M requests13 Oct: 69.8B tokens, 3.7M requests14 Oct: 64.8B tokens, 3.4M requests15 Oct: 64.5B tokens, 4.1M requests16 Oct: 62.2B tokens, 3.9M requests17 Oct: 48.2B tokens, 3.1M requests18 Oct: 44.5B tokens, 3.1M requests19 Sept3 Oct17 Oct18 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.

Intelligence Index: 33.7 (2026-10-18) ↗Coding Index: 68.1 (2026-10-18) ↗Agentic Index: 45.8 (2026-10-18) ↗
Compare this model with alternatives →