Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Moonshot Kimi K2

A-TIER

Groq

Intelligence Score 85/100

Model Popularity 0 votes

Context Window 1k RPD, 10k TPM

Pricing Model Free / Open

View Provider Analysis →

A-TIER

Replicate

Intelligence Score 83/100

Context Window 8K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 85/100 vs 83/100, Moonshot Kimi K2 outperforms meta/llama-3-70b-instruct by 2 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	Moonshot Kimi K2	meta/llama-3-70b-instruct
Context Window	1k RPD, 10k TPM	8K tokens
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	30 RPM, 14.4k RPD	Varies by model
Daily Limit	14,400 Requests/Day	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	70b
Limitations	Test	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	LPU Accelerated Extremely Fast Inference Open Source Models	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models