Qwen

Qwen3.6 27B

qwen/qwen3.6-27b
Model weightsReleased Apr 27, 2026Open Weights
ThinkingToolsVisionopen weights

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...

Cost / 1M tokens

Low usage

$0.32

input

—

cached input

$3.20

output

Context Window

262K

Up to 82K max output

Modalities

text, image, video → text

Qwen3 tokenizer

Quickstart & API

qwen/qwen3.6-27b
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

Open weightsExtended reasoningTool & agent callingMultimodal vision

Recommended Workloads in ChatOSS

  • Coding agents
  • Complex reasoning & debugging
  • Screenshot-to-code workflows
Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Active Provider Endpoints (6)

Upstream inference providers serving Qwen3.6 27B, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
Chutescache
chutes/fp8
$0.25$2.00$0.025262K66Kfp897.5%
SiliconFlow
siliconflow/fp8
$0.30$3.20—262K236Kfp891.0%
DeepInfra
deepinfra/fp8
$0.32$3.20—262K82Kfp899.9%
Venice
venice/fp8
$0.325$3.25—256K66Kfp899.0%
Alibaba
alibaba
$0.45$2.70—262K66K—100.0%
Rekacache
reka
$0.60$6.00$0.50262K33K—99.9%

Supported API Parameters

Parameters accepted by this model when called through ChatOSS or OpenRouter.

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

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