Model Detail
Llama-3.3-70B-Instruct
—Llama-3.3-70B-Instruct is a large language model with 70B parameters released by Meta. The model is registered under the text-generation pipeline tag on Hugging Face, and supports text->text inputs, released under the llama3.3 license.
Open-LLM-Leaderboard scoring places it at MMLU-Pro 48, GPQA 11, IFEval 90, BBH 57, giving a sense of how it handles instruction following, reasoning, and graduate-level QA in absolute terms.
Llama-3.3-70B-Instruct is priced at $0.71/M input tokens and $0.71/M output tokens. Operationally the model offers a 131K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. Pricing in this range is the working middle of the API market — neither the cheapest nor the most expensive option per token, so cost-fit is usually a function of how much output you generate.
Llama-3.3-70B-Instruct ships as a LlamaForCausalLM / 💬 chat models (RLHF, DPO, IFT, ...) architecture with 70B parameters. The published knowledge cutoff is 2023-12-31, so newer events will not be reflected in zero-shot answers without retrieval. Total weight footprint is approximately 70.6 GB, which is the relevant figure when planning local-inference VRAM. Access is gated on Hugging Face under the llama3.3 license, which means a manual approval step before weights can be downloaded.
Llama-3.3-70B-Instruct is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
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