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

Kimi-k1.5
Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). The model shows particular specialization in math tasks with an average performance of 85.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K 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 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 7B Instruct
Alibaba
2024-09-19

Kimi-k1.5
Moonshot AI
2025-01-20
4 months newer
Performance Metrics
Context window and performance specifications

Kimi-k1.5

Qwen2.5 7B Instruct
Average performance across 1 common benchmarks

Kimi-k1.5

Qwen2.5 7B Instruct
Performance comparison across key benchmark categories

Kimi-k1.5

Qwen2.5 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Kimi-k1.5

Qwen2.5 7B Instruct
Together

Kimi-k1.5

Qwen2.5 7B Instruct