Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Command R7B (12-2024)

A-TIER

Cohere

Intelligence Score 87/100
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 87/100, NVIDIA: Llama 3.1 Nemotron 70B (free) outperforms Command R7B (12-2024) by 3 points.

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

Detailed Comparison

Feature
Command R7B (12-2024)
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
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 20 requests/minute
Daily Limit
- 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B 70B
Limitations
  • Monthly quota shared across all models
  • 1,000 API calls/month on free tier
  • Commercial use restricted on free plan
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Retrieval Augmented Generation (RAG) built-in
  • Enterprise-grade models
  • Embeddings and reranking models
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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