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Amazon
amazon/nova-premier-v1Catalogue: 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.
Amazon amazon/nova-premier-v1
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
Cached input reads $0.63 per 1M
Nova Premier 1.0 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 $2.50 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 Nova Premier 1.0
targets:
- id: nova-premier-v1
kind: llm
name: Nova Premier 1.0
metadata:
model: amazon/nova-premier-v1 # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1000000
cost:
usd_per_1k_tokens: 0.007500Input list price per million tokens; Nova Premier 1.0 is the most expensive of 5 listed.
Photo: RDNE Stock project
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.