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Qwen

Qwen3.5-27B

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance.

At a glance

Input / 1M
$0.26
Output / 1M
$2.60
Context
262K
Max output
82K
Intelligence
22.9
Released
Feb 2026
Text inputImage inputVideo inputReasoningTool calling

Pricing

Qwen3.5-27B API pricing

Per-token rates, plus what common tasks actually cost.

Input tokensPer 1M tokens$0.26
Output tokensPer 1M tokens$2.60
Cached input (read)Per 1M tokensNot available
Cache writePer 1M tokensNot available

Chat message

2K in, 500 out

$1.82

per 1,000 requests

Coding task

30K in, 4K out

$18.20

per 1,000 requests

Long document summary

150K in, 2K out

$44.20

per 1,000 requests

Benchmarks

Qwen3.5-27B benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

22.9

Coding index

Not available

Agentic index

Not available

Specs

Context window and capabilities

What it can read, what it can write, and which API features it supports.

Context window
262K tokens
Max output
82K tokens
Input types
Image, Text, Video
Output types
Text
Reasoning effort
Not available
Release date
February 25, 2026
  • Tool calling
  • Structured outputs
  • JSON mode
  • Reasoning
  • Temperature
  • Stop sequences
  • Deterministic seed
  • Verbosity control

FAQ

Frequently asked questions

How much does Qwen3.5-27B cost?

Qwen3.5-27B costs $0.26 per 1M input tokens and $2.60 per 1M output tokens through the API. A typical chat message costs about $1.82 per 1,000 messages.

What is the context window of Qwen3.5-27B?

Qwen3.5-27B accepts up to 262K tokens of input and can write up to 82K tokens in a single response.

What is the best alternative to Qwen3.5-27B?

Gemini 3 Flash Preview from Google is a strong alternative. It offers: higher intelligence score, larger 1.05m context, accepts file and audio.

Can I use Qwen3.5-27B alongside other models?

Yes. Shortcut Chat sends one prompt to Qwen3.5-27B and any other models you pick at the same time, so you can compare answers side by side.

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Try Qwen3.5-27B next to every other model.

Use Qwen3.5-27B alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.