Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-4

A-TIER

GitHub Models

Intelligence Score 89/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open
View Provider Analysis →

NVIDIA: Llama 3.1 Nemotron 70B (free)

S-TIER

OpenRouter

Intelligence Score 90/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

NVIDIA: Llama 3.1 Nemotron 70B (free) Wins

With an intelligence score of 90/100 vs 89/100, NVIDIA: Llama 3.1 Nemotron 70B (free) outperforms Phi-4 by 1 point.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-4
NVIDIA: Llama 3.1 Nemotron 70B (free)
Context Window
128K 128k
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
Dec 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by Copilot Tier 20 requests/minute
Daily Limit
Low 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 70B
Limitations
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Prototyping
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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