Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-3.5 Mini

Ollama

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K tokens

Pricing Model Free / Open

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A-TIER

Friendli AI

Intelligence Score 86/100

Context Window 32K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 86/100 vs 65/100, Mixtral 8x7B Instruct outperforms Phi-3.5 Mini by 21 points.

Clear Winner: Significant performance advantage for Mixtral 8x7B Instruct.

HEAD-TO-HEAD

Feature	Phi-3.5 Mini	Mixtral 8x7B Instruct
Context Window	128K tokens	32K
Architecture	Transformer	Mixture of Experts (MoE)
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Hardware limited	60 RPM
Daily Limit	Unlimited	Credit-based
Capabilities	Reasoning	Multilingual
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	Undisclosed	7B
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	$10 credit is one-time trial Billing required after credits Limited model selection
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime