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 11B Instruct
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. 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 2024, it represents Meta's latest advancement in AI technology.

Llama 3.2 11B 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 11B Instruct
Average performance across 3 common benchmarks

Kimi-k1.5

Llama 3.2 11B Instruct
Performance comparison across key benchmark categories

Kimi-k1.5

Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Kimi-k1.5

Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock

Kimi-k1.5

Llama 3.2 11B Instruct