Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3 Mini 4K Instruct

Glhf.chat

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

Qwen 2.5 VL 72B Instruct (free)

A-TIER

OpenRouter

Intelligence Score 83/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 VL 72B Instruct (free) Wins

With an intelligence score of 83/100 vs 76/100, Qwen 2.5 VL 72B Instruct (free) outperforms Phi-3 Mini 4K Instruct by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3 Mini 4K Instruct
Qwen 2.5 VL 72B Instruct (free)
Context Window
4K 32k
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~70-74% ~75-79%
Release Date
2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM 20 requests/minute
Daily Limit
Generous for personal use 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
⚡ Fast Chat & Apps 👁️ Vision & Multimodal
Model Size
Undisclosed 72B
Limitations
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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