Loading page…
Cookies keep FreeInd working. Optional analytics require your permission; ads for free accounts are served by Google, which shows its own consent message where required. Read our cookie policy.
Explore 7 live Meta Llama models on FreeInd's multi-model AI platform, each with a fixed credit rate, real sample outputs, and every routing provider that serves it.
FreeInd is an independent platform and is not affiliated with, endorsed by, or sponsored by Meta Llama or the creators or owners of the underlying AI models. The Meta Llama name and mark appear solely to identify the integrations available on this platform.
Every live Meta Llama model with its rate per generation or per second of output and real sample outputs.
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it
Rate
7 credits
per generation
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward
Rate
7 credits
per generation
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input
Rate
7 credits
per generation
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to
Rate
7 credits
per generation
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model
Rate
7 credits
per generation
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong
Rate
7 credits
per generation
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM
Rate
7 credits
per generation
Showing 1–7 of 7 active models· rates are per generation (images) or per sec of output (video/audio)
Continue browsing the catalog by original model maker.
