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

Claude Opus 4.1
Anthropic
Claude Opus 4.1 is a multimodal language model developed by Anthropic. The model shows competitive results across 8 benchmarks. It excels particularly in MMMLU (98.4%), AIME 2025 (80.2%), MMMU (validation) (64.8%). 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.

Gemma 3 27B
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). The model shows particular specialization in math tasks with an average performance of 78.2%. It supports a 262K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Gemma 3 27B
2025-03-12

Claude Opus 4.1
Anthropic
2025-08-05
4 months newer
Performance Metrics
Context window and performance specifications

Claude Opus 4.1

Gemma 3 27B
Average performance across 1 common benchmarks

Claude Opus 4.1

Gemma 3 27B
Performance comparison across key benchmark categories

Claude Opus 4.1

Gemma 3 27B
Provider Availability & Performance
Available providers and their performance metrics

Claude Opus 4.1

Gemma 3 27B
DeepInfra
Novita

Claude Opus 4.1

Gemma 3 27B