Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek V3

S-TIER

DeepInfra

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 64K
Pricing Model Commercial / Paid

Llama 3 8B Instruct

BentoML

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

DeepSeek V3 Wins

With an intelligence score of 94/100 vs 71/100, DeepSeek V3 outperforms Llama 3 8B Instruct by 23 points.

Clear Winner: Significant performance advantage for DeepSeek V3.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek V3
Llama 3 8B Instruct
Context Window
64K 8K
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~88-91% ~65-69%
Release Date
2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM (varies by model) Hardware dependent
Daily Limit
Credit-based (no daily cap) Unlimited
Capabilities
Reasoning
No specific data
Performance Tier
S-Tier (Elite) C-Tier (Good)
Speed Estimate
Medium âš¡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 8B
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic

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