Model Comparison

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

Anthropic

Claude 3 Haiku

Anthropic

Claude 3 Haiku is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 71.5% across 10 benchmarks. It excels particularly in ARC-C (89.2%), GSM8k (88.9%), HellaSwag (85.9%). The model shows particular specialization in reasoning tasks with an average performance of 87.5%. 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

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 Haiku

Anthropic

2024-03-13

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3 Haiku

$88.50 cheaper
Input:$0.25
Output:$1.25
OpenAI

GPT-4

Input:$30.00
Output:$60.00

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3 Haiku

Larger context
Max Context:400.0K
OpenAI

GPT-4

Max Context:65.5K

Average performance across 7 common benchmarks

Anthropic

Claude 3 Haiku

Average Score:66.1%
OpenAI

GPT-4

+2.7%
Average Score:68.8%

Performance comparison across key benchmark categories

Anthropic

Claude 3 Haiku

reasoning
87.5%
general
65.1%
code
+8.9%
75.9%
math
67.6%
OpenAI

GPT-4

reasoning
+5.5%
93.0%
general
+11.0%
76.2%
code
67.0%
math
+0.9%
68.5%
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 Haiku

3 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 104 tok/s
Latency: 0.5ms

Anthropic

Throughput: 100 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 Haiku

Avg Score:66.1%
Providers:3
OpenAI

GPT-4

+2.7%
Avg Score:68.8%
Providers:2