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Qwen
qwen/qwen3-235b-a22b-thinking-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/qwen3-235b-a22b-thinking-2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
Qwen3 235B A22B Thinking 2507 earns a request when it needs step-by-step reasoning, tool calls, 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 $0.45 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 235B A22B Thinking 2507
targets:
- id: qwen3-235b-a22b-thinking-2507
kind: llm
name: Qwen3 235B A22B Thinking 2507
metadata:
model: qwen/qwen3-235b-a22b-thinking-2507 # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 128000
cost:
usd_per_1k_tokens: 0.001975Input list price per million tokens; Qwen3 235B A22B Thinking 2507 is the 9th 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.