Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.2 3B

Ollama

Intelligence Score 75/100

Model Popularity 0 votes

Context Window 128K tokens

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 79/100 vs 75/100, Qwen 2.5 7B Instruct (free) outperforms Llama 3.2 3B by 4 points.

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

HEAD-TO-HEAD

Feature	Llama 3.2 3B	Qwen 2.5 7B Instruct (free)
Context Window	128K tokens	32k
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~70-74%
Release Date	Sep 2024	Sep-Nov 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	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	3B	7B
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