What are the differences?

Between the Llama 3 70B Instruct and Claude Instant 1.2 LLM models, which follows best instructions?

Compare

Meta logo

to

Anthropic logo
Meta logo

Llama 3 70B Instruct

Meta

Anthropic logo

Claude Instant 1.2

Anthropic

Overview

Meta logo

Llama 3 70B Instruct

Anthropic logo

Claude Instant 1.2

Provider

Organization responsible for this model.

Meta logo

Meta

Anthropic logo

Anthropic

Input Context Window

The total number of tokens that the input context window can accommodate.

8K
100K

Maximum Output Tokens

The maximum number of tokens this model can produce in one operation.

2K
4.1K

Release Date

The initial release date of the model.

April 18, 2024

19 months ago

August 9, 2023

27 months ago

Knowledge Cutoff

The latest date for which the information provided is considered reliable and current.

2023/12

2023/2

Pricing

Meta logo

Llama 3 70B Instruct

Anthropic logo

Claude Instant 1.2

Input

Costs associated with the data input to the model.

Not specified.

$0.80

Output

Costs associated with the tokens produced by the model.

Not specified.

$2.40

Benchmark

Meta logo

Llama 3 70B Instruct

Anthropic logo

Claude Instant 1.2

MMLU

Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios.

80.06
73.4

MMMU

Comprehensive benchmark covering multiple disciplines and modalities.

HellaSwag

A demanding benchmark for sentence completion tasks.

85.69

Arena Elo

Ranking metric for LMSYS Chatbot Arena.

1207
1110

5000+ teams use Lunary to build reliable AI applications

IslandsbankiZurichNetomiCloseDHL

Building an AI chatbot?

Open-source GenAI monitoring, prompt management, and magic.

Open Source

Self Hostable

1-line Integration

Prompt Templates

Chat Replays

Analytics

Topic Classification

Agent Tracing

Custom Dashboards

Score LLM responses

PII Masking

Feedback Tracking

Open Source

Self Hostable

1-line Integration

Prompt Templates

Chat Replays

Analytics

Topic Classification

Agent Tracing

Custom Dashboards

Score LLM responses

PII Masking

Feedback Tracking