Models

Supported AI models

Call every model below through one rNet API. Usage is paid from the user's rNet credits.

Text Embedding 3 Small

OpenAI
text-embedding-3-small

Semantic search and NLP clustering.

Live on rNet

Gemma 4 26B

Google
gemma-4-26b-a4b-it

Compact yet powerful open model for efficient text generation and instruction following.

Live on rNet

Gemma 4 31B

Google
gemma-4-31b-it

High-capability open model with strong reasoning and multilingual performance.

Live on rNet

Gemini 3.1 Flash Lite

Google
gemini-3.1-flash-lite

Fast, lightweight model balancing speed and quality for everyday tasks.

Live on rNet

Gemini Embedding 001

Google
gemini-embedding-001

High-quality text embeddings for search, retrieval, and clustering.

Live on rNet

Gemini 2.5 Flash

Google
gemini-2.5-flash

Fast, versatile multimodal model for scaling across diverse tasks.

Live on rNet

Gemini 2.5 Flash Lite

Google
gemini-2.5-flash-lite

Optimized for low latency (very quick responses) and efficiency.

Live on rNet

Llama 3.1 70B

Groq
llama-3.1-70b-versatile

High-performance open model for complex reasoning and versatile text generation.

Live on rNet

Llama 3.1 8B

Groq
llama-3.1-8b-instant

Ultra-fast lightweight model optimized for low-latency inference.

Live on rNet

Mixtral 8x7B

Groq
mixtral-8x7b-32768

Sparse mixture-of-experts model with 32K context for nuanced, long-form tasks.

Live on rNet

Gemma 2 9B

Groq
gemma2-9b-it

Efficient instruction-tuned model for quick, high-quality text generation.

Live on rNet
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More models will be added soon as network capacity expands.