Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3.5 Mini

Ollama

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

Meta: Llama 3.3 70B Instruct (free)

S-TIER

OpenRouter

Intelligence Score 94/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Meta: Llama 3.3 70B Instruct (free) Wins

With an intelligence score of 94/100 vs 65/100, Meta: Llama 3.3 70B Instruct (free) outperforms Phi-3.5 Mini by 29 points.

Clear Winner: Significant performance advantage for Meta: Llama 3.3 70B Instruct (free).
HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3.5 Mini
Meta: Llama 3.3 70B Instruct (free)
Context Window
128K tokens 128k
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 20 requests/minute
Daily Limit
Unlimited 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning
No specific data
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
âš¡ Very Fast âš¡ Fast
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 70B
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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