Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 3.8 27B

Cerebras

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K Context

Pricing Model Free / Open

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A-TIER

Groq

Intelligence Score 85/100

Context Window 1k RPD, 10k TPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 85/100 vs 65/100, Moonshot Kimi K2 outperforms Qwen 3.8 27B by 20 points.

Clear Winner: Significant performance advantage for Moonshot Kimi K2.

HEAD-TO-HEAD

Feature	Qwen 3.8 27B	Moonshot Kimi K2
Context Window	128K Context	1k RPD, 10k TPM
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial)	30 RPM, 14.4k RPD
Daily Limit	1M tokens/day	14,400 Requests/Day
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	27B	Undisclosed
Limitations	Rate limited on free tier (30 RPM) Daily token cap of 1M tokens	Test
Key Strengths	Instant Token Generation Wafer-Scale Engine Speed OpenAI API Compatibility	LPU Accelerated Extremely Fast Inference Open Source Models