AiCIPPY Models

A database of AI model specs, pricing, and capabilities

Llama 4 Scout 17B Instruct

Open Llama with long-context vision for efficient multimodal agents

meta/llama-4-scout-17b-instruct
Lab
Meta
Family
llama
Providers
6
Context
10,000,000
Output limit
16,384
Knowledge
2024-08
Release
2025-04-05
Updated
2025-04-05
Weights
Open
Input
Output types
Capabilities
tools, temperature

Providers

6
Provider Lab Model ID Context Output Price Reasoning Tool Call Structured Temperature
Amazon BedrockMetameta.llama4-scout-17b-instruct-v1:010,000,0008,192$0.17 / $0.66NoYes-Yes
Amazon BedrockMetaus.meta.llama4-scout-17b-instruct-v1:010,000,0008,192$0.17 / $0.66NoYes-Yes
Cloudflare Workers AIMeta@cf/meta/llama-4-scout-17b-16e-instruct131,00016,384$0.27 / $0.85NoYesNoYes
LLM GatewayMetaaws-bedrock/llama-4-scout-17b-instruct8,1922,048$0.17 / $0.66NoNoNoYes
LLM GatewayMetanovita/llama-4-scout-17b-instruct131,072131,072$0.18 / $0.59NoNoNoYes
OCI Generative AIMetameta.llama-4-scout-17b-16e-instruct192,00016,384$0.72 / $0.72NoNo-Yes
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How to use

AiCIPPY Models is a comprehensive database of AI model specifications, pricing, and capabilities.

The homepage starts with provider-agnostic model metadata. Model pages list the providers serving that model; provider pages list every model available from that provider; lab pages group canonical models by author.

API

You can access provider data, provider-agnostic model metadata, or the combined catalog through JSON endpoints.

Logos

Provider logos are available at /logos/{provider}.svg where {provider} is the provider ID. Lab logos are available at /logos/labs/{lab}.svg.

SDK

A type-safe client that also exports the latest snapshot for offline use lives in packages/sdk of the repository below.

Contribute

The data is stored in GitHub as TOML files organized by provider and canonical model.