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:

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

This model supports the following features:

Tools Response Format
Performance Summary

Meta's Llama 3 70B Instruct model, released on April 17, 2024, demonstrates strong overall performance, particularly optimized for high-quality dialogue use cases. It consistently ranks among the fastest models and offers highly competitive pricing across various benchmarks. In terms of specific performance, the model excels in ethical reasoning, achieving perfect accuracy and being the most accurate model at its price point and speed. It also shows strong capabilities in email classification (99.0% accuracy) and effectively acknowledges uncertainty in hallucination tests (98.0% accuracy). The model exhibits good general knowledge (94.5% accuracy) and moderate instruction following (51.0% accuracy). A notable strength is its reasoning speed, ranking among the top 3 fastest models in this category. However, the model shows significant weaknesses in mathematics (14.0% accuracy) and coding (0.0% accuracy), indicating these areas require further development. Its context length is 8192 tokens.

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 $0.3 / 1M tokens $0.4 / 1M tokens
Together
Together | meta-llama/llama-3-70b-instruct 8K $0.88 / 1M tokens $0.88 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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