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Qwen
qwen/qwen3.8-27bCatalogue: 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/qwen3.8-27b
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Qwen3.8 27B earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to Gemma 4 26B A4B (free) instead - free per million input tokens against $0.04 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.
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 Qwen3.8 27B
targets:
- id: qwen3-8-27b
kind: llm
name: Qwen3.8 27B
metadata:
model: qwen/qwen3.8-27b # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1000000
cost:
usd_per_1k_tokens: 0.000644Input list price per million tokens; Qwen3.8 27B is the 2nd cheapest of 13 listed.
Photo: RDNE Stock project
Cached input reads $0.004 per 1M · weights on Hugging Face as Qwen/Qwen3.8-27B
A higher intelligence index, best first, with the price it comes at.
Other models by the same vendor in the catalogue.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.