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

Kimi K2 Instruct
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

QvQ-72B-Preview
Alibaba
QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba's latest advancement in AI technology.

QvQ-72B-Preview
Alibaba
2024-12-25

Kimi K2 Instruct
Moonshot AI
2025-01-01
7 days newer
Performance Metrics
Context window and performance specifications

Kimi K2 Instruct

QvQ-72B-Preview
Performance comparison across key benchmark categories

Kimi K2 Instruct

QvQ-72B-Preview
Provider Availability & Performance
Available providers and their performance metrics

Kimi K2 Instruct
Novita

QvQ-72B-Preview

Kimi K2 Instruct

QvQ-72B-Preview