Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Model Popularity 0 votes
Context Window 128K tokens
Pricing Model Free / Open
View Provider Analysis →

Grok 4

S-TIER

Grok (xAI)

Intelligence Score 98/100
Context Window 256K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Grok 4 Wins

With an intelligence score of 98/100 vs 91/100, Grok 4 outperforms Llama 3.1 405B by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 405B
Grok 4
Context Window
128K tokens 256K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~85-87% ~92-95%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
10 RPM (free tier) Varies (low for free tier)
Daily Limit
Limited daily usage Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
General Purpose General Purpose
Model Size
405B Undisclosed
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • $25/month credit cap (generous but finite)
  • Lower rate limits on free tier
  • Vision models have smaller context
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Monthly renewing $25 free credits
  • OpenAI-compatible API (drop-in replacement)
  • Real-time knowledge from X/Twitter data

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