Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

OpenLLM Generic

BentoML

Intelligence Score 65/100
Model Popularity 0 votes
Context Window Varies
Pricing Model Commercial / Paid
View Provider Analysis →

GPT-4o (via routing)

S-TIER

Requesty

Intelligence Score 92/100
Context Window 128K
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 65/100, GPT-4o (via routing) outperforms OpenLLM Generic by 27 points.

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

Detailed Comparison

Feature
OpenLLM Generic
GPT-4o (via routing)
Context Window
Varies 128K
Architecture
Transformer Transformer (Proprietary)
Est. MMLU Score
~60-64% ~85-87%
Release Date
2024 May-Nov 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
Hardware dependent 60 RPM
Daily Limit
Unlimited Credit-based
Capabilities
No specific data
Vision
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed ~1.8T (estimated)
Limitations
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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