Model Comparison

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

Anthropic

Claude Sonnet 4

Anthropic

Claude Sonnet 4 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 69.4% across 8 benchmarks. It excels particularly in MMMLU (86.5%), TAU-bench Retail (80.5%), GPQA (75.4%). It supports a 328K 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 2025, it represents Anthropic's latest advancement in AI technology.

Google

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Google

Gemma 2 9B

Google

2024-06-27

Anthropic

Claude Sonnet 4

Anthropic

2025-05-22

10 months newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4

Larger context
Max Context:328.0K
Google

Gemma 2 9B

Max Context:-
Parameters:9.2B

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4

general
+1.7%
68.1%
Google

Gemma 2 9B

general
66.4%

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude Sonnet 4

3 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 101 tok/s
Latency: 0.5ms

Anthropic

Throughput: 42 tok/s
Latency: 0.4ms
Google

Gemma 2 9B

0 providers
Anthropic

Claude Sonnet 4

Avg Score:0.0%
Providers:3
Google

Gemma 2 9B

Avg Score:0.0%
Providers:0