Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 45.6% higher average benchmark score. Claude 3.5 Haiku offers 137.9K more tokens in context window than Kimi K2 Instruct. Kimi K2 Instruct is $1.93 cheaper per million tokens. Claude 3.5 Haiku is available on 3 providers. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
Anthropic
Claude 3.5 Haiku is a language model developed by Anthropic. It achieves strong performance with an average score of 60.8% across 9 benchmarks. It excels particularly in HumanEval (88.1%), MGSM (85.6%), DROP (83.1%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. Released in 2024, it represents Anthropic's latest advancement in AI technology.
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K 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 2025, it represents Moonshot AI's latest advancement in AI technology.
8 months newer
Claude 3.5 Haiku
Anthropic
2024-10-22
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Claude 3.5 Haiku
Kimi K2 Instruct
Context window and performance specifications
Average performance across 40 common benchmarks
Claude 3.5 Haiku
Kimi K2 Instruct
Available providers and their performance metrics
Claude 3.5 Haiku
Anthropic
Bedrock
Claude 3.5 Haiku
Kimi K2 Instruct
Claude 3.5 Haiku
Kimi K2 Instruct
Kimi K2 Instruct
Novita