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 →

Qwen 2.5 7B Instruct (free)

OpenRouter

Intelligence Score 79/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen 2.5 7B Instruct (free) Wins

With an intelligence score of 79/100 vs 65/100, Qwen 2.5 7B Instruct (free) outperforms Phi-3.5 Mini by 14 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3.5 Mini
Qwen 2.5 7B Instruct (free)
Context Window
128K tokens 32k
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~70-74%
Release Date
2024 Sep-Nov 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) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 7B
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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