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.

Qwen2.5 VL 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 Alibaba's latest advancement in AI technology.

Kimi K2 Instruct
Moonshot AI
2025-01-01

Qwen2.5 VL 32B Instruct
Alibaba
2025-02-28
1 month newer
Performance Metrics
Context window and performance specifications

Kimi K2 Instruct

Qwen2.5 VL 32B Instruct
Average performance across 4 common benchmarks

Kimi K2 Instruct

Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories

Kimi K2 Instruct

Qwen2.5 VL 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Kimi K2 Instruct
Novita

Qwen2.5 VL 32B Instruct

Kimi K2 Instruct

Qwen2.5 VL 32B Instruct