Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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NVIDIA: Llama 3.1 Nemotron 70B (free)

S-TIER

OpenRouter

Intelligence Score 90/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open

Llama 3.1 70B

A-TIER

Lepton AI

Intelligence Score 87/100
Context Window 8K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

NVIDIA: Llama 3.1 Nemotron 70B (free) Wins

With an intelligence score of 90/100 vs 87/100, NVIDIA: Llama 3.1 Nemotron 70B (free) outperforms Llama 3.1 70B by 3 points.

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

Detailed Comparison

Feature
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 70B
Context Window
128k 8K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~80-84%
Release Date
Jul 2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
20 requests/minute 60 RPM
Daily Limit
50 requests/day (up to 1000 with $10 topup) Credit-based
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
âš¡ Fast âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
70B 70B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization

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