Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Anthropic

Claude 3 Opus

Anthropic

Claude 3 Opus is a multimodal language model developed by Anthropic. This model demonstrates exceptional performance with an average score of 81.6% across 11 benchmarks. It excels particularly in ARC-C (96.4%), HellaSwag (95.4%), GSM8k (95.0%). The model shows particular specialization in reasoning tasks with an average performance of 95.9%. It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic's latest advancement in AI technology.

OpenAI

GPT-4 Turbo

OpenAI

GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

Anthropic

Claude 3 Opus

Anthropic

2024-02-29

OpenAI

GPT-4 Turbo

OpenAI

2024-04-09

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3 Opus

Input:$15.00
Output:$75.00
OpenAI

GPT-4 Turbo

$50.00 cheaper
Input:$10.00
Output:$30.00

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3 Opus

Larger context
Max Context:400.0K
OpenAI

GPT-4 Turbo

Max Context:132.1K

Average performance across 6 common benchmarks

Anthropic

Claude 3 Opus

Average Score:76.0%
OpenAI

GPT-4 Turbo

+2.1%
Average Score:78.1%

Performance comparison across key benchmark categories

Anthropic

Claude 3 Opus

code
84.9%
math
+1.4%
81.9%
general
+1.6%
75.1%
OpenAI

GPT-4 Turbo

code
+2.2%
87.1%
math
80.5%
general
73.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4 Turbo

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude 3 Opus

3 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 120 tok/s
Latency: 0.5ms

Anthropic

Throughput: 100 tok/s
Latency: 0.5ms
OpenAI

GPT-4 Turbo

2 providers

Azure

Throughput: 97 tok/s
Latency: 0.6ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Anthropic

Claude 3 Opus

Avg Score:76.0%
Providers:3
OpenAI

GPT-4 Turbo

+2.1%
Avg Score:78.1%
Providers:2