Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B (Fast)

DEPRECATED

Cerebras

This model is no longer active/free — kept for reference.

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

Llama 3.1 (Deployable)

Cerebrium

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

Llama 3.1 70B (Fast) Wins

With an intelligence score of 87/100 vs 65/100, Llama 3.1 70B (Fast) outperforms Llama 3.1 (Deployable) by 22 points.

Clear Winner: Significant performance advantage for Llama 3.1 70B (Fast).
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B (Fast)
Llama 3.1 (Deployable)
Context Window
8K 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~60-64%
Release Date
Jul 2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial) Pay-per-second compute
Daily Limit
1M tokens/day Credit-based
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B Undisclosed
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • $30 is one-time trial credits
  • Requires some DevOps knowledge
  • Cold starts for serverless models
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Deploy any HuggingFace model
  • Serverless GPU infrastructure
  • Auto-scaling (scale to zero)

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