Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemma 2 9B

A-TIER

Ollama

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 8K tokens

Pricing Model Free / Open

View Provider Analysis →

OpenRouter

Intelligence Score 65/100

Context Window 128k

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 outperforms DeepSeek: R1 (free) by 15 points.

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

HEAD-TO-HEAD

Feature	Gemma 2 9B	DeepSeek: R1 (free)
Context Window	8K tokens	128k
Architecture	Transformer	Dense Transformer
Est. MMLU Score	~75-79%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	20 requests/minute
Daily Limit	Unlimited	50 requests/day (up to 1000 with $10 topup)
Capabilities	Reasoning	No specific data
Performance Tier	B-Tier (Strong)	C-Tier (Good)
Speed Estimate	Medium	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	🧠 Complex Reasoning
Model Size	9B	Undisclosed
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing