Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B

A-TIER

Lepton AI

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

Meta: Llama 3.3 70B Instruct (free)

S-TIER

OpenRouter

Intelligence Score 94/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Meta: Llama 3.3 70B Instruct (free) Wins

With an intelligence score of 94/100 vs 87/100, Meta: Llama 3.3 70B Instruct (free) outperforms Llama 3.1 70B by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B
Meta: Llama 3.3 70B Instruct (free)
Context Window
8K 128k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~88-91%
Release Date
Jul 2024 Dec 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 20 requests/minute
Daily Limit
Credit-based 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
âš¡ Fast âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
70B 70B
Limitations
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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