Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 8k

Pricing Model Free / Open

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Cerebras

Intelligence Score 65/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 80/100 vs 65/100, Gemma 2 9B Instruct outperforms Qwen 3.8 27B by 15 points.

Clear Winner: Significant performance advantage for Gemma 2 9B Instruct.

HEAD-TO-HEAD

Feature	Gemma 2 9B Instruct	Qwen 3.8 27B
Context Window	8k	128K Context
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	300 Requests / hour	5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial)
Daily Limit	Capped by monthly credit, not a flat request count	1M tokens/day
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	C-Tier (Good)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	9B	27B
Limitations	Rate limited to ~300 request/hour for free users Models larger than 10GB may not load Cold starts can occur	Rate limited on free tier (30 RPM) Daily token cap of 1M tokens
Key Strengths	Serverless Inference Instant Model Loading Text Generation	Instant Token Generation Wafer-Scale Engine Speed OpenAI API Compatibility