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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S-TIER

Hyperbolic

Intelligence Score 91/100

Context Window 32K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 91/100 vs 76/100, Qwen 2.5 72B outperforms Phi-3 Mini 4K Instruct by 15 points.

Clear Winner: Significant performance advantage for Qwen 2.5 72B.

HEAD-TO-HEAD

Feature	Phi-3 Mini 4K Instruct	Qwen 2.5 72B
Context Window	4K	32K
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~85-87%
Release Date	2024	Sep-Nov 2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	30 RPM	60 RPM
Daily Limit	Generous for personal use	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	Undisclosed	72B
Limitations	Rate limits on free tier Model availability may vary Smaller selection than aggregators	Credits are limited ($1) Decentralized nature may vary latency Billing flow involves crypto/stripe
Key Strengths	Fully serverless (no infrastructure to manage) OpenAI-compatible API format HuggingFace model IDs supported	Verifiable Inference (verified computing) Low Cost due to decentralized compute Privacy focused