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
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Apriel 1.5 15B Thinker (Free)

A-TIER

Together.AI

Intelligence Score 83/100
Context Window 131K tokens
Pricing Model Free / Open
Model Popularity 0 votes
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FINAL VERDICT

Apriel 1.5 15B Thinker (Free) Wins

With an intelligence score of 83/100 vs 71/100, Apriel 1.5 15B Thinker (Free) outperforms Llama 3 8B Instruct by 12 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3 8B Instruct
Apriel 1.5 15B Thinker (Free)
Context Window
8K 131K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~65-69% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Hardware dependent Subject to availability
Daily Limit
Unlimited Unlimited (Research Preview)
Capabilities
No specific data
Reasoning Multimodal
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
8B 15B
Limitations
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
  • Limited to specific free models
  • Research preview availability
Key Strengths
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models

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