Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3 Mini 4K Instruct

Glhf.chat

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 4K
Pricing Model Free / Open

Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100
Context Window 32K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x7B Instruct Wins

With an intelligence score of 86/100 vs 76/100, Mixtral 8x7B Instruct outperforms Phi-3 Mini 4K Instruct by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3 Mini 4K Instruct
Mixtral 8x7B Instruct
Context Window
4K 32K
Architecture
Transformer Mixture of Experts (MoE)
Est. MMLU Score
~70-74% ~80-84%
Release Date
2024 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
Multilingual
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 7B
Limitations
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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