90 days of the enterprise, pro and team plans free, no card needed. See the plans
Qwen
qwen/qwen3.5-27bCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Qwen 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. Its overall capabilities are comparable to those of...
Qwen3.5-27B earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to GLM 5.2 instead - $0.01 per million input tokens against $0.26 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points.
A higher intelligence index, best first, with the price it comes at.
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs Qwen3.5-27B
targets:
- id: qwen3-5-27b
kind: llm
name: Qwen3.5-27B
metadata:
model: qwen/qwen3.5-27b # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 262144
cost:
usd_per_1k_tokens: 0.001430Input list price per million tokens; Qwen3.5-27B is the 7th cheapest of 13 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project