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Discover how Anthropic's Claude 2 and Anthropic's Claude 3 Opus stack up against each other in this comprehensive comparison of two leading AI language models.

Released in July 2023 and March 2024 respectively, these models represent significant advancements in artificial intelligence, with Claude 2 offering a 100,000-token context window and Claude 3 Opus featuring a 200,000-token capacity. Their distinct approaches to natural language processing are reflected in their benchmark performances, with Claude 2 achieving 78.5% on MMLU and Claude 3 Opus scoring 88.2%, making this comparison essential for developers and organizations seeking the right AI solution for their specific needs.

Models Overview

Anthropic Claude 2
Anthropic Claude 3 Opus

Provider

Company that developed the model
Anthropic Anthropic

Context Length

Maximum number of tokens the model can process
100K 200K

Maximum Output

Maximum number of tokens the model can generate in a single response
Unknown 4096

Release Date

Date when the model was released
11-07-2023 04-03-2024

Knowledge Cutoff

Training data cutoff date
Early 2023 August 2023

Open Source

Whether the model's code is open-source
FALSE FALSE

API Providers

API providers that offer access to the model
Anthropic API, Vertex AI, AWS Bedrock Anthropic API, Vertex AI, AWS Bedrock

Pricing Comparison

Compare the pricing of Anthropic's Claude 2 and Anthropic's Claude 3 Opus to determine the most cost-effective solution for your AI needs.

Anthropic Claude 2
Anthropic Claude 3 Opus

Input Cost

Cost per million input tokens
$8 / 1M tokens $15 / 1M tokens

Output Cost

Cost per million tokens generated
$24 / 1M tokens $75 / 1M tokens

Comparing Benchmarks and Performance

Compare the performances of Anthropic's Claude 2 and Anthropic's Claude 3 Opus on industry benchmarks. This section provides a detailed comparison on MMLU, MMMU, HumanEval, MATH and other key benchmarks.

Anthropic Claude 2
Anthropic Claude 3 Opus

MMLU

Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
78.5% 88.2%

MMMU

A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available 59.4%

HellaSwag

A challenging sentence completion benchmark.
Benchmark not available 95.4%

GSM8K

Grade-school math problems benchmark.
Benchmark not available 95%

HumanEval

A benchmark to measure functional correctness for synthesizing programs from docstrings.
Benchmark not available 84.9%

MATH

Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
Benchmark not available 60.1%

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