Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 4.5% higher average benchmark score. Llama 3.1 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
11 months newer

Llama 3.1 70B Instruct
Meta
2024-07-23

Kimi K2 Base
Moonshot AI
2025-07-11
Context window and performance specifications
Average performance across 3 common benchmarks

Kimi K2 Base

Llama 3.1 70B Instruct
Available providers and their performance metrics

Kimi K2 Base

Llama 3.1 70B Instruct
Bedrock

Kimi K2 Base

Llama 3.1 70B Instruct

Kimi K2 Base

Llama 3.1 70B Instruct
Cerebras
DeepInfra
Fireworks
Groq
Hyperbolic
Lambda
Sambanova
Together