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 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 Haiku

Anthropic

2024-03-13

OpenAI

GPT-4 Turbo

OpenAI

2024-04-09

27 days newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3 Haiku

$38.50 cheaper
Input:$0.25
Output:$1.25
OpenAI

GPT-4 Turbo

Input:$10.00
Output:$30.00

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3 Haiku

Larger context
Max Context:400.0K
OpenAI

GPT-4 Turbo

Max Context:132.1K

Average performance across 6 common benchmarks

Anthropic

Claude 3 Haiku

Average Score:62.8%
OpenAI

GPT-4 Turbo

+15.3%
Average Score:78.1%

Performance comparison across key benchmark categories

Anthropic

Claude 3 Haiku

code
75.9%
math
67.6%
general
65.1%
OpenAI

GPT-4 Turbo

code
+11.2%
87.1%
math
+12.9%
80.5%
general
+8.4%
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 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 Turbo

2 providers

Azure

Throughput: 97 tok/s
Latency: 0.6ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Anthropic

Claude 3 Haiku

Avg Score:62.8%
Providers:3
OpenAI

GPT-4 Turbo

+15.3%
Avg Score:78.1%
Providers:2