Supported AI models
Call every model below through one rNet API. Usage is paid from the user's rNet credits.
Text Embedding 3 Small
OpenAItext-embedding-3-smallSemantic search and NLP clustering.
Gemma 4 26B
Googlegemma-4-26b-a4b-itCompact yet powerful open model for efficient text generation and instruction following.
Gemma 4 31B
Googlegemma-4-31b-itHigh-capability open model with strong reasoning and multilingual performance.
Gemini 3.1 Flash Lite
Googlegemini-3.1-flash-liteFast, lightweight model balancing speed and quality for everyday tasks.
Gemini Embedding 001
Googlegemini-embedding-001High-quality text embeddings for search, retrieval, and clustering.
Gemini 2.5 Flash
Googlegemini-2.5-flashFast, versatile multimodal model for scaling across diverse tasks.
Gemini 2.5 Flash Lite
Googlegemini-2.5-flash-liteOptimized for low latency (very quick responses) and efficiency.
Llama 3.1 70B
Groqllama-3.1-70b-versatileHigh-performance open model for complex reasoning and versatile text generation.
Llama 3.1 8B
Groqllama-3.1-8b-instantUltra-fast lightweight model optimized for low-latency inference.
Mixtral 8x7B
Groqmixtral-8x7b-32768Sparse mixture-of-experts model with 32K context for nuanced, long-form tasks.
Gemma 2 9B
Groqgemma2-9b-itEfficient instruction-tuned model for quick, high-quality text generation.
More models will be added soon as network capacity expands.