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

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S-TIER

Friendli AI

Intelligence Score 94/100

Context Window 164K Context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 94/100 vs 85/100, DeepSeek V3.2 outperforms Moonshot Kimi K2 by 9 points.

HEAD-TO-HEAD

Feature	Moonshot Kimi K2	DeepSeek V3.2
Context Window	1k RPD, 10k TPM	164K Context
Architecture	Transformer	Dense Transformer
Est. MMLU Score	~80-84%	~88-91%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM, 14.4k RPD	60 RPM
Daily Limit	14,400 Requests/Day	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	S-Tier (Elite)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Test	$10 credit is one-time trial Billing required after credits Limited model selection
Key Strengths	LPU Accelerated Extremely Fast Inference Open Source Models	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime