Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 8B (Fast)

Cerebras

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

meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100
Context Window 8K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

meta/llama-3-70b-instruct Wins

With an intelligence score of 83/100 vs 78/100, meta/llama-3-70b-instruct outperforms Llama 3.1 8B (Fast) by 5 points.

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

Detailed Comparison

Feature
Llama 3.1 8B (Fast)
meta/llama-3-70b-instruct
Context Window
8K 8K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~75-79%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM Varies by model
Daily Limit
1,000,000 Tokens / Day Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
8B 70b
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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