Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 (Deployable)

Cerebrium

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

Grok 4.1 Fast

S-TIER

Grok (xAI)

Intelligence Score 96/100
Context Window 2M
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Grok 4.1 Fast Wins

With an intelligence score of 96/100 vs 65/100, Grok 4.1 Fast outperforms Llama 3.1 (Deployable) by 31 points.

Clear Winner: Significant performance advantage for Grok 4.1 Fast.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 (Deployable)
Grok 4.1 Fast
Context Window
128K 2M
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~60-64% ~92-95%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
Pay-per-second compute Varies (low for free tier)
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • $30 is one-time trial credits
  • Requires some DevOps knowledge
  • Cold starts for serverless models
  • $25/month credit cap (generous but finite)
  • Lower rate limits on free tier
  • Vision models have smaller context
Key Strengths
  • Deploy any HuggingFace model
  • Serverless GPU infrastructure
  • Auto-scaling (scale to zero)
  • Monthly renewing $25 free credits
  • OpenAI-compatible API (drop-in replacement)
  • Real-time knowledge from X/Twitter data

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