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Meta
meta-llama/llama-3.1-8b-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.
Meta meta-llama/llama-3.1-8b-instruct
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
Llama 3.1 8B Instruct earns a request when it needs 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 $0.05 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 Llama 3.1 8B Instruct
targets:
- id: llama-3-1-8b-instruct
kind: llm
name: Llama 3.1 8B Instruct
metadata:
model: meta-llama/llama-3.1-8b-instruct # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 131072
cost:
usd_per_1k_tokens: 0.000065Input list price per million tokens; Llama 3.1 8B Instruct is the 2nd cheapest of 8 listed.
Photo: RDNE Stock project
Cached input reads $0.03 per 1M · weights on Hugging Face as meta-llama/Meta-Llama-3.1-8B-Instruct
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.