Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 (Deployable)

Cerebrium

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
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

Evenly Matched!

Both models score 65/100 and have comparable capabilities.

🎯 Selection Guide:
Choose Phi-3.5 Mini for free tier access.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 (Deployable)
Phi-3.5 Mini
Context Window
128K 128K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~60-64% ~60-64%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Pay-per-second compute Hardware limited
Daily Limit
Credit-based Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
Medium âš¡ Very Fast
Primary Use Case
General Purpose âš¡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • $30 is one-time trial credits
  • Requires some DevOps knowledge
  • Cold starts for serverless models
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Deploy any HuggingFace model
  • Serverless GPU infrastructure
  • Auto-scaling (scale to zero)
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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