Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100

Model Popularity 0 votes

Context Window 128K tokens

Pricing Model Free / Open

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A-TIER

Cohere

Intelligence Score 87/100

Context Window 128K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 91/100 vs 87/100, Llama 3.1 405B outperforms Command R7B (12-2024) by 4 points.

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

HEAD-TO-HEAD

Feature	Llama 3.1 405B	Command R7B (12-2024)
Context Window	128K tokens	128K
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~85-87%	~80-84%
Release Date	Jul 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 RPM (free tier)	20 requests/minute
Daily Limit	Limited daily usage	-
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	🐢 Slower (Reasoning)	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	405B	7B
Limitations	Free tier has speed/rate limits Pro subscription needed for 405B speed Decentralized network variance	Monthly quota shared across all models 1,000 API calls/month on free tier Commercial use restricted on free plan
Key Strengths	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network	Retrieval Augmented Generation (RAG) built-in Enterprise-grade models Embeddings and reranking models