Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 4 Scout Instruct (Free)

A-TIER

Together.AI

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 512K tokens
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 4 Scout Instruct (Free) Wins

With an intelligence score of 87/100 vs 65/100, Llama 4 Scout Instruct (Free) outperforms Dolphin Mixtral by 22 points.

Clear Winner: Significant performance advantage for Llama 4 Scout Instruct (Free).
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout Instruct (Free)
Dolphin Mixtral
Context Window
512K tokens 32K tokens
Architecture
Transformer (Open Weight) Mixture of Experts (MoE)
Est. MMLU Score
~80-84% ~60-64%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Subject to availability 10 RPM (free tier)
Daily Limit
Unlimited (Research Preview) Limited daily usage
Capabilities
Multimodal
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Limited to specific free models
  • Research preview availability
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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