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 4 Scout
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Kimi-k1.5
Moonshot AI
2025-01-20

Llama 4 Scout
Meta
2025-04-05
2 months newer
Performance Metrics
Context window and performance specifications

Kimi-k1.5

Llama 4 Scout
Average performance across 3 common benchmarks

Kimi-k1.5

Llama 4 Scout
Performance comparison across key benchmark categories

Kimi-k1.5

Llama 4 Scout
Provider Availability & Performance
Available providers and their performance metrics

Kimi-k1.5

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

Kimi-k1.5

Llama 4 Scout