Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama 3.1 70B (Fast)

A-TIER

Cerebras

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Free / Open

Phi-3 Mini 4K Instruct

Glhf.chat

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

Llama 3.1 70B (Fast) Wins

With an intelligence score of 87/100 vs 76/100, Llama 3.1 70B (Fast) outperforms Phi-3 Mini 4K Instruct by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B (Fast)
Phi-3 Mini 4K Instruct
Context Window
8K 4K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~80-84% ~70-74%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM 30 RPM
Daily Limit
1,000,000 Tokens / Day Generous for personal use
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
70B Undisclosed
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported

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