Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

GPT-4o (via routing)

S-TIER

Requesty

Intelligence Score 92/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

Llama 3 8B Instruct

BentoML

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

GPT-4o (via routing) Wins

With an intelligence score of 92/100 vs 71/100, GPT-4o (via routing) outperforms Llama 3 8B Instruct by 21 points.

Clear Winner: Significant performance advantage for GPT-4o (via routing).
HEAD-TO-HEAD

Detailed Comparison

Feature
GPT-4o (via routing)
Llama 3 8B Instruct
Context Window
128K 8K
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~65-69%
Release Date
May-Nov 2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM Hardware dependent
Daily Limit
Credit-based Unlimited
Capabilities
Vision
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
~1.8T (estimated) 8B
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic

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