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Qwen
qwen/qwen3.7-plusCatalogue: 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/qwen3.7-plus
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
Qwen3.7 Plus 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 $0.32 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 Qwen3.7 Plus
targets:
- id: qwen3-7-plus
kind: llm
name: Qwen3.7 Plus
metadata:
model: qwen/qwen3.7-plus # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1000000
cost:
usd_per_1k_tokens: 0.000800Input list price per million tokens; Qwen3.7 Plus is the 9th cheapest of 13 listed.
Photo: RDNE Stock project
Cached input reads $0.06 per 1M
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.