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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OpenRouter

Intelligence Score 79/100

Context Window 32k

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 80/100 vs 79/100, Gemma 2 9B Instruct outperforms Qwen 2.5 7B Instruct (free) by 1 point.

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

HEAD-TO-HEAD

Feature	Gemma 2 9B Instruct	Qwen 2.5 7B Instruct (free)
Context Window	8k	32k
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~70-74%
Release Date	2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	300 Requests / hour	20 requests/minute
Daily Limit	Dependent on global load	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	9B	7B
Limitations	Rate limited to ~300 request/hour for free users Models larger than 10GB may not load Cold starts can occur	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Serverless Inference Instant Model Loading Text Generation	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing