Model Comparison

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

Anthropic

Claude 3.5 Haiku

Anthropic

Claude 3.5 Haiku is a language model developed by Anthropic. It achieves strong performance with an average score of 60.8% across 9 benchmarks. It excels particularly in HumanEval (88.1%), MGSM (85.6%), DROP (83.1%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. 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 3.5 Haiku

Anthropic

2024-10-22

Google

MedGemma 4B IT

Google

2025-05-20

7 months newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.5 Haiku

Larger context
Max Context:400.0K
Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B

Performance comparison across key benchmark categories

Anthropic

Claude 3.5 Haiku

general
57.6%
Google

MedGemma 4B IT

general
+1.9%
59.5%

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude 3.5 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: 0.3ms
Google

MedGemma 4B IT

0 providers
Anthropic

Claude 3.5 Haiku

Avg Score:0.0%
Providers:3
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0