Battle of the Models

Compare specific LLM models, context windows, and capabilities.

TinyLlama

llamafile

Intelligence Score 64/100

Model Popularity 0 votes

Context Window Local

Pricing Model Free / Open

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A-TIER

Ollama

Intelligence Score 84/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 84/100 vs 64/100, Mistral Nemo 12B outperforms TinyLlama by 20 points.

Clear Winner: Significant performance advantage for Mistral Nemo 12B.

HEAD-TO-HEAD

Feature	TinyLlama	Mistral Nemo 12B
Context Window	Local	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware dependent	Hardware limited
Daily Limit	Unlimited	Unlimited
Capabilities	No specific data	Multilingual
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	12B
Limitations	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration