# SambaNova Cloud SambaNova Cloud is an AI inference platform that provides API access to open-source language and vision models. Developers can use its OpenAI-compatible API, playground, and model catalog to build and test AI-powered applications. - Findings24: - Site: - Preços: Freemium - Categorias: Plataformas de inferência de IA, API de LLM ## O que é SambaNova Cloud? SambaNova Cloud is an AI inference platform for developers building applications with hosted open-source models. Its core workflow is an OpenAI-compatible API that accepts chat-completion requests at SambaNova’s API endpoint. Users create a bearer-authenticated API key, keep it outside application code, and send requests from tools such as cURL or Python. The service also includes a browser playground for trying prompts and viewing code, plus examples for connecting models to Gradio. Its documented catalog covers text, reasoning, and selected vision-capable models from DeepSeek, Meta, MiniMax, Google, and OpenAI model families. Published pricing is based on input and output token usage, with a cached-input price listed for MiniMax-M3. ## O que SambaNova Cloud pode fazer? ### OpenAI-compatible API Build against a familiar chat-completions pattern using the \`https://api.sambanova.ai/v1\` base URL and bearer-key authentication. ### Multiple hosted models The catalog lists DeepSeek-V3.1, DeepSeek-V3.2, Meta-Llama-3.3-70B-Instruct, MiniMax-M3, gemma-4-31B-it, and gpt-oss-120b, with text, reasoning, and selected vision labels. ### Streaming requests The cURL quickstart demonstrates setting \`stream\` to true for a chat-completion request, allowing applications to work with streamed responses. ### Browser playground The playground provides a model-selection and prompt-testing workflow, with examples such as drafting an email, planning a trip, and writing code. ### Python and cURL examples The developer quickstart includes a cURL request and Python client example with message arrays, model selection, temperature, and top-p parameters. ### Usage-based pricing The published pricing table separates cached input, input, and output token rates by model; MiniMax-M3 is the only listed model with a cached-input rate. ## Casos de uso ### Prototype an AI application Use the playground to test prompts and model behavior before implementing the workflow in an application. ### Add chat completions to a developer project Use the OpenAI-compatible endpoint with cURL or Python to send system and user messages from an application backend. ### Build streamed interfaces Use the documented streaming request pattern as a starting point for interfaces that process chat-completion output incrementally. ### Compare model families for a task Evaluate listed DeepSeek, Meta, MiniMax, Google, and OpenAI models against text, reasoning, or vision-oriented requirements shown in the catalog. ### Create a quick Gradio demo Use the provided Gradio example to load a model and launch an interactive demo after supplying an API token. ## Perguntas frequentes ### How do I make a first request? Create an API key in the SambaNova Cloud dashboard, store it in an environment variable such as \`SAMBANOVA\_API\_KEY\`, and send a request to \`https://api.sambanova.ai/v1/chat/completions\` with bearer authentication. The quickstart provides cURL and Python examples. ### Which authentication method does the API use? The documented requests use a bearer API key in the \`Authorization\` header. The site recommends keeping the key out of source code and reading it from the environment instead. ### Which models are available? The site lists DeepSeek-V3.1, DeepSeek-V3.2, Meta-Llama-3.3-70B-Instruct, MiniMax-M3, gemma-4-31B-it, and gpt-oss-120b. The catalog identifies models by supported task labels such as text, reasoning, or vision. ### Can I test models without writing a full application? Yes. SambaNova Cloud includes a playground with a model selector, prompt examples, and a View Code option. The site also provides a Gradio loading example for creating a simple interactive demo. ### How is pricing presented? The published table shows cached-input, input-per-one-million-tokens, and output-per-one-million-tokens rates by model. It does not establish quotas, plan limits, or other billing terms in the supplied source. ## Informações rápidas - **Product type**: AI inference platform - **Primary interface**: OpenAI-compatible API - **API endpoint**: https://api.sambanova.ai/v1/chat/completions - **Authentication**: Bearer API key - **Model access**: Hosted open-source models - **Pricing basis**: Per-token input and output rates