Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 6.7% higher average benchmark score. Qwen2.5 VL 7B Instruct supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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 262K token context window for handling large documents. The model is available through 1 API provider. 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.
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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 Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Kimi K2 Instruct
Moonshot AI
2025-07-11
Context window and performance specifications
Average performance across 70 common benchmarks
Kimi K2 Instruct
Qwen2.5 VL 7B Instruct
Available providers and their performance metrics
Kimi K2 Instruct
Novita
Qwen2.5 VL 7B Instruct
Kimi K2 Instruct
Qwen2.5 VL 7B Instruct
Kimi K2 Instruct
Qwen2.5 VL 7B Instruct