Compare the Top Multimodal Models that integrate with SambaNova as of September 2026

This a list of Multimodal Models that integrate with SambaNova. Use the filters on the left to add additional filters for products that have integrations with SambaNova. View the products that work with SambaNova in the table below.

What are Multimodal Models for SambaNova?

Multimodal models are artificial intelligence models capable of understanding, processing, and generating multiple types of data—including text, images, audio, video, code, and other structured or unstructured inputs—within a single unified system. These models combine information across modalities to perform tasks such as visual question answering, image generation, speech recognition, video understanding, document analysis, code generation, and conversational AI. Many multimodal models support advanced capabilities such as tool use, reasoning, AI agents, and long-context processing, enabling more natural and context-aware interactions. They are commonly available through APIs, cloud AI platforms, and open-source frameworks for use in enterprise applications, creative workflows, robotics, healthcare, education, and software development. By integrating multiple forms of information into a single model, multimodal models enable more capable, flexible, and human-like AI systems. Compare and read user reviews of the best Multimodal Models for SambaNova currently available using the table below. This list is updated regularly.

  • 1
    Qwen

    Qwen

    Alibaba

    Qwen is a powerful, free AI assistant built on the advanced Qwen model series, designed to help anyone with creativity, research, problem-solving, and everyday tasks. While Qwen Chat is the main interface for most users, Qwen itself powers a broad range of intelligent capabilities including image generation, deep research, website creation, advanced reasoning, and context-aware search. Its multimodal intelligence enables Qwen to understand and process text, images, audio, and video simultaneously for richer insights. Qwen is available on web, desktop, and mobile, ensuring seamless access across all devices. For developers, the Qwen API provides OpenAI-compatible endpoints, making integration simple and allowing Qwen’s intelligence to power apps, services, and automation. Whether you're chatting through Qwen Chat or building with the Qwen API, Qwen delivers fast, flexible, and highly capable AI support.
    Starting Price: Free
  • 2
    Llama 4 Behemoth
    Llama 4 Behemoth is Meta's most powerful AI model to date, featuring a massive 288 billion active parameters. It excels in multimodal tasks, outperforming previous models like GPT-4.5 and Gemini 2.0 Pro across multiple STEM-focused benchmarks such as MATH-500 and GPQA Diamond. As the teacher model for the Llama 4 series, Behemoth sets the foundation for models like Llama 4 Maverick and Llama 4 Scout. While still in training, Llama 4 Behemoth demonstrates unmatched intelligence, pushing the boundaries of AI in fields like math, multilinguality, and image understanding.
    Starting Price: Free
  • 3
    Llama 4 Maverick
    Llama 4 Maverick is one of the most advanced multimodal AI models from Meta, featuring 17 billion active parameters and 128 experts. It surpasses its competitors like GPT-4o and Gemini 2.0 Flash in a broad range of benchmarks, especially in tasks related to coding, reasoning, and multilingual capabilities. Llama 4 Maverick combines image and text understanding, enabling it to deliver industry-leading results in image-grounding tasks and precise, high-quality output. With its efficient performance at a reduced parameter size, Maverick offers exceptional value, especially in general assistant and chat applications.
    Starting Price: Free
  • 4
    Llama 4 Scout
    Llama 4 Scout is a powerful 17 billion active parameter multimodal AI model that excels in both text and image processing. With an industry-leading context length of 10 million tokens, it outperforms its predecessors, including Llama 3, in tasks such as multi-document summarization and parsing large codebases. Llama 4 Scout is designed to handle complex reasoning tasks while maintaining high efficiency, making it perfect for use cases requiring long-context comprehension and image grounding. It offers cutting-edge performance in image-related tasks and is particularly well-suited for applications requiring both text and visual understanding.
    Starting Price: Free
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