Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

SDXL

A-TIER

Lepton AI

Intelligence Score 84/100
Model Popularity 0 votes
Context Window Image
Pricing Model Commercial / Paid
View Provider Analysis →

Qwen 2.5 Coder 32B

A-TIER

SambaNova Cloud

Intelligence Score 89/100
Context Window 32k Context
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen 2.5 Coder 32B Wins

With an intelligence score of 89/100 vs 84/100, Qwen 2.5 Coder 32B outperforms SDXL by 5 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
SDXL
Qwen 2.5 Coder 32B
Context Window
Image 32k Context
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 Sep-Nov 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM Varies by model
Daily Limit
Credit-based Dependent on credits
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
Undisclosed 32B
Limitations
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
Key Strengths
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed

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