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Qwen
qwen/qwen3-30b-a3b-instruct-2507Catalogue: 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/qwen3-30b-a3b-instruct-2507
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
Qwen3 30B A3B Instruct 2507 earns a request when it needs tool calls, very long inputs, running on your own hardware; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.10 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 30B A3B Instruct 2507
targets:
- id: qwen3-30b-a3b-instruct-2507
kind: llm
name: Qwen3 30B A3B Instruct 2507
metadata:
model: qwen/qwen3-30b-a3b-instruct-2507 # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 262144
cost:
usd_per_1k_tokens: 0.000200Input list price per million tokens; Qwen3 30B A3B Instruct 2507 is the 3rd cheapest of 13 listed.
Photo: RDNE Stock project
Cached input reads $0.10 per 1M · weights on Hugging Face as Qwen/Qwen3-30B-A3B-Instruct-2507
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.