Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100

Model Popularity 0 votes

Context Window 32K

Pricing Model Commercial / Paid

View Provider Analysis →

OpenRouter

Intelligence Score 65/100

Context Window 128k

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 86/100 vs 65/100, Mixtral 8x7B Instruct outperforms Microsoft: Phi-3 Medium (free) by 21 points.

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

HEAD-TO-HEAD

Feature	Mixtral 8x7B Instruct	Microsoft: Phi-3 Medium (free)
Context Window	32K	128k
Architecture	Mixture of Experts (MoE)	Transformer
Est. MMLU Score	~80-84%	~60-64%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	20 requests/minute
Daily Limit	Credit-based	50 requests/day (up to 1000 with $10 topup)
Capabilities	Multilingual	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	7B	Undisclosed
Limitations	$10 credit is one-time trial Billing required after credits Limited model selection	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing