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-4.1

OpenAI

GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Anthropic

Claude 3 Haiku

Anthropic

2024-03-13

OpenAI

GPT-4.1

OpenAI

2025-04-14

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3 Haiku

$8.50 cheaper
Input:$0.25
Output:$1.25
OpenAI

GPT-4.1

Input:$2.00
Output:$8.00

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3 Haiku

Max Context:400.0K
OpenAI

GPT-4.1

Larger context
Max Context:1.1M

Average performance across 2 common benchmarks

Anthropic

Claude 3 Haiku

Average Score:54.3%
OpenAI

GPT-4.1

+24.0%
Average Score:78.3%

Performance comparison across key benchmark categories

Anthropic

Claude 3 Haiku

code
75.9%
math
67.6%
general
+11.7%
65.1%
OpenAI

GPT-4.1

code
+11.5%
87.4%
math
+4.6%
72.2%
general
53.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1

2024-06-01

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-4.1

1 providers

OpenAI

Throughput: 100 tok/s
Latency: 10ms
Anthropic

Claude 3 Haiku

Avg Score:54.3%
Providers:3
OpenAI

GPT-4.1

+24.0%
Avg Score:78.3%
Providers:1