Model Comparison

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

Moonshot AI

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.

Alibaba

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.

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

Moonshot AI

Kimi K2 Instruct

Moonshot AI

2025-01-01

7 days newer

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi K2 Instruct

Larger context
Max Context:144.0K
Parameters:1.0T
Alibaba

QvQ-72B-Preview

Max Context:-
Parameters:73.4B

Performance comparison across key benchmark categories

Moonshot AI

Kimi K2 Instruct

math
+32.9%
86.6%
general
+41.6%
62.0%
Alibaba

QvQ-72B-Preview

math
53.6%
general
20.4%

Provider Availability & Performance

Available providers and their performance metrics

Moonshot AI

Kimi K2 Instruct

1 providers

Novita

Throughput: 45 tok/s
Latency: 0.95ms
Alibaba

QvQ-72B-Preview

0 providers
Moonshot AI

Kimi K2 Instruct

Avg Score:0.0%
Providers:1
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0