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 3.1 405B Instruct
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.1 405B Instruct
Meta
2024-07-23

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

Kimi-k1.5

Llama 3.1 405B Instruct
Average performance across 2 common benchmarks

Kimi-k1.5

Llama 3.1 405B Instruct
Performance comparison across key benchmark categories

Kimi-k1.5

Llama 3.1 405B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Kimi-k1.5

Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate

Kimi-k1.5

Llama 3.1 405B Instruct