Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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LLaVA 1.5

A-TIER

llamafile

Intelligence Score 81/100
Model Popularity 0 votes
Context Window Local
Pricing Model Free / Open

DeepSeek Coder 6.7B

A-TIER

Cloudflare Workers AI

Intelligence Score 83/100
Context Window 16K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek Coder 6.7B Wins

With an intelligence score of 83/100 vs 81/100, DeepSeek Coder 6.7B outperforms LLaVA 1.5 by 2 points.

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

Detailed Comparison

Feature
LLaVA 1.5
DeepSeek Coder 6.7B
Context Window
Local 16K
Architecture
Transformer Dense Transformer
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent Varies by model
Daily Limit
Unlimited 10,000 neurons/day
Capabilities
Vision
Code
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose 💻 Code Generation
Model Size
Undisclosed 6.7B
Limitations
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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