Llama3.1-70B-Instruct
Llama3.1-70B-Instruct is an AI model published by Facebook AI Research Lab, released on 2024-07-23, for Foundation model, with 70B parameters, and 128K context length, requiring about 140GB storage, with a 86.00 score on MMLU.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.400/ 1M | $0.400/ 1M |
Benchmark Results
Llama3.1-70B-Instruct currently shows benchmark results led by MBPP (5 / 28, score 86), MMLU (33 / 66, score 86), HumanEval (23 / 39, score 80.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
3 evaluationsCoding and Software Engineer
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Model Overview
Llama3.1-70B-Instruct is an AI model published by Facebook AI Research Lab, released on 2024-07-23, for Foundation model, with 70B parameters, and 128K context length, requiring about 140GB storage, with a 86.00 score on MMLU.
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