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. It achieves strong performance with an average score of 72.7% across 8 benchmarks. It excels particularly in MMMLU (89.5%), TAU-bench Retail (82.4%), GPQA (80.9%). The model shows particular specialization in general tasks with an average performance of 81.6%. It supports a 232K token context window for handling large documents. The model is available through 4 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.

Kimi K2-Instruct-0905
Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Claude Opus 4.1
Anthropic
2025-08-05

Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
1 month newer
Performance Metrics
Context window and performance specifications

Claude Opus 4.1

Kimi K2-Instruct-0905
Average performance across 4 common benchmarks

Claude Opus 4.1

Kimi K2-Instruct-0905
Performance comparison across key benchmark categories

Claude Opus 4.1

Kimi K2-Instruct-0905
Provider Availability & Performance
Available providers and their performance metrics

Claude Opus 4.1
Anthropic
Bedrock
ZeroEval

Kimi K2-Instruct-0905

Claude Opus 4.1

Kimi K2-Instruct-0905