Llama3.3-70B-Instruct
Chat modelLlama3.3-70B-Instruct
Llama3.3-70B-Instruct is an AI model published by Facebook AI Research Lab, released on 2024-12-06, for Chat model, with 70B parameters, and 128K context length, requiring about 140GB storage, with a 88.40 score on HumanEval.
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 | - | $0.850/ 1M | $1.20/ 1M |
Benchmark Results
Llama3.3-70B-Instruct currently shows benchmark results led by MBPP (3 / 28, score 87.60), MATH (13 / 42, score 77), HumanEval (14 / 39, score 88.40). 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
Llama3.3-70B-Instruct is an AI model published by Facebook AI Research Lab, released on 2024-12-06, for Chat model, with 70B parameters, and 128K context length, requiring about 140GB storage, with a 88.40 score on HumanEval.
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