Qwen3.6 27B

Qwen3.6 27B is the Qwen team's dense 27-billion-parameter open-weight model, released under Apache 2.0 and built on direct community feedback for stability and everyday utility.

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input · usd / 1m tok

$0.60

output · usd / 1m tok

$3.60

context window

229.38ktokens

modalities · in → out

pricing

base api ratesusd per 1m tokens

input: $0.60
output: $3.60

providers

Different companies host Qwen3.6 27B. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

Qwen
Groq

specifications

takes text and image in, gives text outqwen/qwen3.6-27b

creatorQwen
model typeText generation
context window229,376 tokens
maximum outputnot published
input
takes text and image in, gives text out
outputtext
tool callingnot verified
releasedapr 22, 2026
endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="qwen/qwen3.6-27b",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="qwen/qwen3.6-27b",
    input="▌",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

21.4#74 of 109 models on the gateway

omniscience-20.0#67 of 85
gpqa84.2%#46 of 81
humanity’s last exam23.1%#56 of 88

Tau294.2%
GPQA84.2%
AA-LCR77.3%
MMMU-Pro74.6%
IFBench67.6%
SciCode42.8%
Terminal-Bench Hard34.8%
Humanity’s Last Exam23.1%
Tau Banking16.7%
AutomationBench Partial11.0%
GDP.pdf All-pass11.0%
CritPt1.1%

Intelligence Index21.43
Omniscience Index-20.02
GDPval Elo985.63

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-10-15. some source data could not be refreshed; retained results may be older.

compare Qwen3.6 27B with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

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frequently asked questions

What is Qwen3.6 27B?

Qwen3.6 27B is the Qwen team's dense 27-billion-parameter open-weight model, released under Apache 2.0 and built on direct community feedback for stability and everyday utility. It targets agentic coding — repository-level comprehension and front-end workflows — and adds an option to preserve reasoning from earlier turns so iterative sessions keep their context.

How much does Qwen3.6 27B cost?

Qwen3.6 27B costs $0.60 per million input tokens and $3.60 per million output tokens through the Impossibl API. All rates are in USD.

view the pricing table ↑

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

Qwen3.6 27B has a 229,376-token context window through the Impossibl API.

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

Qwen3.6 27B accepts text and image as input. Qwen3.6 27B returns text.

How do I use Qwen3.6 27B through an API?

Qwen3.6 27B is available through the Impossibl API. Use qwen/qwen3.6-27b as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was Qwen3.6 27B released?

Qwen released Qwen3.6 27B on April 22, 2026.

Creator release announcement ↗

this page describes Qwen3.6 27B as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

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