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.
Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.2 3B Instruct
Meta
2024-09-25
Kimi-k1.5
Moonshot AI
2025-01-20
3 months newer
Performance Metrics
Context window and performance specifications
Kimi-k1.5
Llama 3.2 3B Instruct
Average performance across 2 common benchmarks
Kimi-k1.5
Llama 3.2 3B Instruct
Performance comparison across key benchmark categories
Kimi-k1.5
Llama 3.2 3B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Kimi-k1.5
Llama 3.2 3B Instruct
DeepInfra
Kimi-k1.5
Llama 3.2 3B Instruct