Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 405B Instruct

S-TIER

DeepInfra

Intelligence Score 92/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

Phi-3 Mini 4K Instruct

Glhf.chat

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

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 76/100, Llama 3.1 405B Instruct outperforms Phi-3 Mini 4K Instruct by 16 points.

Clear Winner: Significant performance advantage for Llama 3.1 405B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 405B Instruct
Phi-3 Mini 4K Instruct
Context Window
128K 4K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~85-87% ~70-74%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) 30 RPM
Daily Limit
Credit-based (no daily cap) Generous for personal use
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
405B Undisclosed
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Rate limits on free tier
  • Model availability may vary
  • Smaller selection than aggregators
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Fully serverless (no infrastructure to manage)
  • OpenAI-compatible API format
  • HuggingFace model IDs supported

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