Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek: R1 (free)

OpenRouter

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open

stability-ai/sdxl

A-TIER

Replicate

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

stability-ai/sdxl Wins

With an intelligence score of 84/100 vs 65/100, stability-ai/sdxl outperforms DeepSeek: R1 (free) by 19 points.

Clear Winner: Significant performance advantage for stability-ai/sdxl.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek: R1 (free)
stability-ai/sdxl
Context Window
128k Image
Architecture
Dense Transformer Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
20 requests/minute Varies by model
Daily Limit
50 requests/day (up to 1000 with $10 topup) Credit-based
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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