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.

Google

MedGemma 4B IT

Google

MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Anthropic

Claude 3 Haiku

Anthropic

2024-03-13

Google

MedGemma 4B IT

Google

2025-05-20

1 year newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3 Haiku

Larger context
Max Context:400.0K
Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B

Performance comparison across key benchmark categories

Anthropic

Claude 3 Haiku

general
+5.7%
65.1%
Google

MedGemma 4B IT

general
59.5%

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
Google

MedGemma 4B IT

0 providers
Anthropic

Claude 3 Haiku

Avg Score:0.0%
Providers:3
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0