Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 70B

A-TIER

Lepton AI

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

Command R7B (12-2024)

A-TIER

Cohere

Intelligence Score 87/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Command R7B (12-2024) Wins

Equal intelligence scores (87/100), but Command R7B (12-2024) offers a significantly larger context window.

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

Detailed Comparison

Feature
Llama 3.1 70B
Command R7B (12-2024)
Context Window
8K 128K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~80-84% ~80-84%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 20 requests/minute
Daily Limit
Credit-based -
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
âš¡ Fast âš¡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
70B 7B
Limitations
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
  • Monthly quota shared across all models
  • 1,000 API calls/month on free tier
  • Commercial use restricted on free plan
Key Strengths
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization
  • Retrieval Augmented Generation (RAG) built-in
  • Enterprise-grade models
  • Embeddings and reranking models

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