How much does Qwen3.6 27B cost?

Qwen3.6 27B costs $0.45 per million input tokens and $2.70 per million output tokens on standard pricing. A workload of 20M input and 5M output tokens a month is about $23.

What is the context length of Qwen3.6 27B?

Qwen3.6 27B accepts up to 262,144 tokens (262K) of input and can return up to 65,536 tokens in one response.

Does Qwen3.6 27B support tool calling and structured outputs?

Yes, Qwen3.6 27B supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Reasoning, Log probabilities, Deterministic seed, Prompt caching.

What inputs and outputs does Qwen3.6 27B support?

Qwen3.6 27B accepts Text, Image, Video as input and produces Text as output.

When was Qwen3.6 27B released?

Qwen3.6 27B was released by Qwen in 2026-04-27.

Qwen3.6 27B

qwen3.6-27b

API Provider site

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs... Built by Qwen.

Prices updated recently

Input price

$0.45

per 1M tokens · Standard

Output price

$2.70

per 1M tokens · Standard

Input limit

262K

tokens

Output limit

66K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

Qwen3.6 27B price history

8 price records since 9/25/2026 · 6 changes

Qwen3.6 27B cost calculator

Input20M tokens

Output5M tokens

$23/month

Standard pricing

Overview

What is Qwen3.6 27B?

Qwen3.6 27B is a text & reasoning and vision model from Qwen. Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs... Its 262K context window and $0.45 input price make it a candidate for quality-focused production applications.

Image understandingDocument analysisContent workflowsClassification

Benchmarks

Qwen3.6 27B benchmarks & speed

How Qwen3.6 27B scores on standardized evaluations, and where it lands among every model we track.

21.4

Intelligence Index

Better than 53% of 153 models

56tok/s

Output speed

Better than 17% of 119 models

Reasoning

GPQA Diamond

84.2%

Graduate-level scientific reasoning · top 45%

HLE

23.1%

Humanity's Last Exam · top 48%

Coding

SciCode

42.8%

Python for scientific computing · top 75%

Latency & design

Time to first token: 3.67s

Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.

Rates

Qwen3.6 27B pricing

Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

Input · Standard

$0.45

Per 1M tokens

Cached input · Standard

$0.15

Per 1M tokens

Capabilities

Qwen3.6 27B Tools

Tools available when using Qwen3.6 27B through supported provider APIs.

Function calling

Supported

Structured outputs

Supported

JSON mode

Supported

Reasoning

Supported

Built-in web search

Not supported

Log probabilities

Supported

Deterministic seed

Supported

Parallel tool calls

Not supported

Prompt caching

Supported

Strengths and limitations

Strengths

Measured results (AA Intelligence 21.4) position it for demanding production work.
262K context supports large documents, repositories and extended conversations.
Supports text & reasoning and vision workloads in one model.

Limitations

Generated tokens cost 6× more than input tokens, which matters for verbose responses.
Large context capacity does not guarantee consistent retrieval across the entire prompt.
Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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