Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Gemini 1.5 Pro

S-TIER

Google AI Studio

Intelligence Score 90/100
Model Popularity 0 votes
Context Window 2M Context, 2 RPM
Pricing Model Free / Open

SDXL

A-TIER

Lepton AI

Intelligence Score 84/100
Context Window Image
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Gemini 1.5 Pro Wins

With an intelligence score of 90/100 vs 84/100, Gemini 1.5 Pro outperforms SDXL by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 1.5 Pro
SDXL
Context Window
2M Context, 2 RPM Image
Architecture
Transformer (Proprietary) Transformer
Est. MMLU Score
~85-87% ~75-79%
Release Date
Feb-May 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
2-15 RPM 60 RPM
Daily Limit
1,500 RPD (Flash) / 50 RPD (Pro) Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) Undisclosed
Limitations
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
Key Strengths
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization

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