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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A-TIER

DeepSeek

Intelligence Score 83/100

Context Window 1M

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 85/100 vs 83/100, Moonshot Kimi K2 outperforms DeepSeek-V4 Flash by 2 points.

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

HEAD-TO-HEAD

Feature	Moonshot Kimi K2	DeepSeek-V4 Flash
Context Window	1k RPD, 10k TPM	1M
Architecture	Transformer	Dense Transformer
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	60 RPM
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	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	Undisclosed
Limitations	Test	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods
Key Strengths	LPU Accelerated Extremely Fast Inference Open Source Models	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)