Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-3 Mini 4K Instruct

Glhf.chat

Intelligence Score 76/100

Model Popularity 0 votes

Context Window 4K

Pricing Model Free / Open

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A-TIER

Replicate

Intelligence Score 83/100

Context Window 8K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 83/100 vs 76/100, meta/llama-3-70b-instruct outperforms Phi-3 Mini 4K Instruct by 7 points.

HEAD-TO-HEAD

Feature	Phi-3 Mini 4K Instruct	meta/llama-3-70b-instruct
Context Window	4K	8K tokens
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	30 RPM	Varies by model
Daily Limit	Generous for personal use	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	Undisclosed	70b
Limitations	Rate limits on free tier Model availability may vary Smaller selection than aggregators	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Fully serverless (no infrastructure to manage) OpenAI-compatible API format HuggingFace model IDs supported	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models