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Introducing Vertex AI's Llama-4-Scout-128B-16E-Instruct-MAAS: Powerful Multimodal AI at Cost-Effective Pricing

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Introducing Vertex AI's Llama-4-Scout-128B-16E-Instruct-MAAS: Powerful Multimodal AI at Cost-Effective Pricing

Google Cloud's Vertex AI has introduced an exciting new managed AI endpoint: the Llama-4-Scout-128B-16E-Instruct-MAAS. Leveraging Meta’s latest advancements in multimodal AI, this model brings powerful performance, efficient inference, and robust multimodal capabilities directly to your applications, all at competitive pricing. Exploring the Vertex AI Llama-4-Scout-128B-16E-Instruct-MAAS The Llama-4-Scout-128B-16E-Instruct-MAAS
Introducing Fireworks AI’s Llama4-Scout-Instruct-Basic: A Game-Changer for Large-Scale Text & Image Tasks

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Introducing Fireworks AI’s Llama4-Scout-Instruct-Basic: A Game-Changer for Large-Scale Text & Image Tasks

Fireworks AI has recently released its latest advanced language model, Llama4-Scout-Instruct-Basic, an instruct-tuned variant based on Meta’s Llama 4 Scout. This model is built using a Mixture-of-Experts (MoE) architecture, boasting 109 billion parameters, with roughly 17 billion active parameters per request. It excels at reasoning, coding, summarization, and multimodal
Introducing Fireworks AI/Llama4-Maverick-Instruct-Basic: The Next-Generation Multimodal LLM

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Introducing Fireworks AI/Llama4-Maverick-Instruct-Basic: The Next-Generation Multimodal LLM

Fireworks AI recently unveiled the Llama4-Maverick-Instruct-Basic, a groundbreaking large language model (LLM) that brings significant advancements in intelligence, multimodal capabilities, and cost-effectiveness. Designed to deliver unmatched performance, this model features an impressive 1 million token context window, powerful multimodal integration, and a competitive pricing structure. Architecture and Capabilities Llama4-Maverick-Instruct-Basic employs
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