Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama 3.2 11B Vision

A-TIER

Hugging Face Inference

Intelligence Score 82/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open

Dolphin Mixtral

Venice.ai

Intelligence Score 65/100
Context Window 32K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.2 11B Vision Wins

With an intelligence score of 82/100 vs 65/100, Llama 3.2 11B Vision outperforms Dolphin Mixtral by 17 points.

Clear Winner: Significant performance advantage for Llama 3.2 11B Vision.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.2 11B Vision
Dolphin Mixtral
Context Window
128k 32K tokens
Architecture
Transformer (Open Weight) Mixture of Experts (MoE)
Est. MMLU Score
~75-79% ~60-64%
Release Date
Sep 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
300 Requests / hour 10 RPM (free tier)
Daily Limit
Dependent on global load Limited daily usage
Capabilities
Text Vision
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
👁️ Vision & Multimodal General Purpose
Model Size
11B Undisclosed
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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