Model Comparison

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

Anthropic

Claude 3.5 Sonnet

Anthropic

Claude 3.5 Sonnet is a multimodal language model developed by Anthropic. This model demonstrates exceptional performance with an average score of 84.1% across 9 benchmarks. It excels particularly in GSM8k (96.4%), BIG-Bench Hard (93.1%), HumanEval (92.0%). It supports a 400K token context window for handling large documents. The model is available through 2 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

OpenAI

GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

OpenAI

GPT-4

OpenAI

2023-06-13

Anthropic

Claude 3.5 Sonnet

Anthropic

2024-06-21

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3.5 Sonnet

$72.00 cheaper
Input:$3.00
Output:$15.00
OpenAI

GPT-4

Input:$30.00
Output:$60.00

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.5 Sonnet

Larger context
Max Context:400.0K
OpenAI

GPT-4

Max Context:65.5K

Average performance across 6 common benchmarks

Anthropic

Claude 3.5 Sonnet

+17.5%
Average Score:81.9%
OpenAI

GPT-4

Average Score:64.4%

Performance comparison across key benchmark categories

Anthropic

Claude 3.5 Sonnet

code
+25.0%
92.0%
math
+17.9%
86.4%
general
+5.0%
81.2%
OpenAI

GPT-4

code
67.0%
math
68.5%
general
76.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4

2022-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude 3.5 Sonnet

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 101 tok/s
Latency: 0.5ms
OpenAI

GPT-4

2 providers

Azure

Throughput: 104 tok/s
Latency: 0.3ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Anthropic

Claude 3.5 Sonnet

+17.5%
Avg Score:81.9%
Providers:2
OpenAI

GPT-4

Avg Score:64.4%
Providers:2