Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 70B (Fast)

A-TIER

Cerebras

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

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 70B (Fast) Wins

With an intelligence score of 87/100 vs 65/100, Llama 3.1 70B (Fast) outperforms Phi-3.5 Mini by 22 points.

Clear Winner: Significant performance advantage for Llama 3.1 70B (Fast).
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B (Fast)
Phi-3.5 Mini
Context Window
8K 128K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~80-84% ~60-64%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM Hardware limited
Daily Limit
1,000,000 Tokens / Day Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
âš¡ Fast âš¡ Very Fast
Primary Use Case
General Purpose âš¡ Fast Chat & Apps
Model Size
70B Undisclosed
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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