Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Llama 3 8B Instruct

BentoML

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

Qwen 2.5 Coder 32B

A-TIER

SambaNova Cloud

Intelligence Score 89/100
Context Window 32k Context
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 Coder 32B Wins

With an intelligence score of 89/100 vs 71/100, Qwen 2.5 Coder 32B outperforms Llama 3 8B Instruct by 18 points.

Clear Winner: Significant performance advantage for Qwen 2.5 Coder 32B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3 8B Instruct
Qwen 2.5 Coder 32B
Context Window
8K 32k Context
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~65-69% ~80-84%
Release Date
2024 Sep-Nov 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
Hardware dependent Varies by model
Daily Limit
Unlimited Dependent on credits
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
8B 32B
Limitations
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
Key Strengths
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed

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