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google/gemma-2-27b-itCatalogue: 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.
Google google/gemma-2-27b-it
Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...
Gemma 2 27B earns a request when it needs 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 $0.65 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 (this model has no published index).
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 Gemma 2 27B
targets:
- id: gemma-2-27b-it
kind: llm
name: Gemma 2 27B
metadata:
model: google/gemma-2-27b-it # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: false
context_window: 8192
cost:
usd_per_1k_tokens: 0.000650Input list price per million tokens; Gemma 2 27B is the 7th 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.