Meta: Llama 3 70B Instruct

Text input Text output
Author's Description

Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases. It has demonstrated strong performance compared to leading closed-source models in human evaluations. To read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).

Key Specifications
Cost
$$$
Context
8K
Parameters
70B
Released
Apr 17, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Stop Presence Penalty Tool Choice Top P Temperature Seed Min P Tools Response Format Frequency Penalty Max Tokens
Features

This model supports the following features:

Tools Response Format
Performance Summary

Meta's Llama 3 70B Instruct model, launched on April 17, 2024, demonstrates strong overall performance, particularly excelling in speed and cost-efficiency. It consistently ranks among the fastest models and offers highly competitive pricing across various benchmarks. With an 83rd percentile reliability ranking, the model shows strong stability with few technical issues. In terms of specific benchmarks, Llama 3 70B Instruct exhibits exceptional performance in Ethics, achieving perfect accuracy and being noted as the most accurate model at its price point and among models of comparable speed. It also performs very well in Email Classification, with 99.0% accuracy, indicating strong contextual understanding. General Knowledge accuracy is solid at 94.5%. However, its performance in Reasoning (44.0% accuracy) and Instruction Following (51.0% accuracy) suggests areas for potential improvement. The model's 0.0% accuracy in the Coding (Baseline) benchmark indicates a significant weakness in this domain. Overall, Llama 3 70B Instruct is a highly efficient and reliable model, particularly suited for dialogue and ethical considerations, though its capabilities in complex reasoning, instruction following, and coding could be further enhanced.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.3
Completion $0.4

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
DeepInfra
DeepInfra | meta-llama/llama-3-70b-instruct 8K $0.3 / 1M tokens $0.4 / 1M tokens
Hyperbolic
Hyperbolic | meta-llama/llama-3-70b-instruct 8K $0.4 / 1M tokens $0.4 / 1M tokens
Novita
Novita | meta-llama/llama-3-70b-instruct 8K $0.51 / 1M tokens $0.74 / 1M tokens
Groq
Groq | meta-llama/llama-3-70b-instruct 8K $0.59 / 1M tokens $0.79 / 1M tokens
Together
Together | meta-llama/llama-3-70b-instruct 8K $0.88 / 1M tokens $0.88 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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