NovitaAI
Meta has released a new model, Llama 3.3 70B Instruct, now available in GitHub Models. It provides similar performance to Llama 3.1 405B, but at a...
Model details
Meta’s Llama 3.3 70B Instruct is a 70-billion-parameter, pretrained and instruction-tuned generative language model designed for multilingual dialogue. It supports English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai, making it well suited to assistants and text-generation applications that need one model across several languages. Its instruction tuning is intended to produce responsive, assistant-style behavior for general conversational workflows.
The model is positioned for stronger reasoning, mathematics, and instruction following, while its reported evaluation profile includes graduate-level scientific reasoning, instruction-following, and agentic terminal tasks. It also supports function calling and structured JSON output, adding practical utility for tool-connected systems and applications that need predictable response formatting. Its broad language coverage and combination of open-weight availability, dialogue optimization, and tool-oriented features make it a versatile choice for multilingual text assistants, though actual deployment performance will depend on the chosen serving environment.
Transparent token rates
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
NovitaAI
Meta has released a new model, Llama 3.3 70B Instruct, now available in GitHub Models. It provides similar performance to Llama 3.1 405B, but at a...
NovitaAI
IBM announces the availability of the updated Llama 3.3 70B Instruct model on IBM watsonx.ai™.
Kilo Gateway
A D-Central model profile documents Llama 3.3 as a single 70B dense transformer released by Meta in December 2024, positioning it as a post-training refresh of the Llama 3.1 70B backbone rather than a from-scratch retrain. The page credits Meta as developer, lists the model under the Llama family with the Llama 3.3 Com Technical details on the profile show the architecture is unchanged from 3.1 70B — same 80 layers, 8192 hidden dim, SwiGLU activations, RoPE positional encoding, and Grouped-Query Attention — with the gains attributed to an improved instruction-tuning pipeline: better RLHF datasets, a stronger reward model, and an adde
NovitaAI
Llama 3.3 70B Instruct is the December update of Llama 3.1 70B. The model improves upon Llama 3.1 70B (released July 2024) with advances in tool calling, multilingual text support, math and coding. The model achieves industry leading results in reasoning, math and instruction following and provides similar performance
NovitaAI
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). $0 per million input tokens, $0 per million output tokens. 65,536 token context window. Higher uptime with 14 providers. Includes independent benchmarks from Artificial Analysis.
This exact model name is also listed by 29 other providers.