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Qwen
qwen/qwen3-vl-30b-a3b-instructCatalogue: 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-vl-30b-a3b-instruct
Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...
Qwen3 VL 30B A3B Instruct earns a request when it needs tool calls, very long inputs, image input; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.15 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 VL 30B A3B Instruct
targets:
- id: qwen3-vl-30b-a3b-instruct
kind: llm
name: Qwen3 VL 30B A3B Instruct
metadata:
model: qwen/qwen3-vl-30b-a3b-instruct # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 262144
cost:
usd_per_1k_tokens: 0.000375Input list price per million tokens; Qwen3 VL 30B A3B Instruct is the 3rd cheapest of 13 listed.
Photo: RDNE Stock project
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.
