Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 48.5% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $1.32 cheaper per million tokens. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
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.
1 year newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Kimi K2 0905
Moonshot AI
2025-09-05
Cost per million tokens (USD)
Kimi K2 0905
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 19 common benchmarks
Kimi K2 0905
Llama 3.1 405B Instruct
Available providers and their performance metrics
Kimi K2 0905
Novita
ZeroEval
Llama 3.1 405B Instruct
Kimi K2 0905
Llama 3.1 405B Instruct
Kimi K2 0905
Llama 3.1 405B Instruct
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