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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.
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 Qwen3.8 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
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.