Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3 8B Instruct

BentoML

Intelligence Score 71/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Commercial / Paid
View Provider Analysis →

Llama 3.1 8B (Fast)

Cerebras

Intelligence Score 78/100
Context Window 8K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 8B (Fast) Wins

With an intelligence score of 78/100 vs 71/100, Llama 3.1 8B (Fast) outperforms Llama 3 8B Instruct by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3 8B Instruct
Llama 3.1 8B (Fast)
Context Window
8K 8K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~65-69% ~70-74%
Release Date
2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Hardware dependent 30 RPM
Daily Limit
Unlimited 1,000,000 Tokens / Day
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
8B 8B
Limitations
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
Key Strengths
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility

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