Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Dolphin Mixtral

Venice.ai

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 32K tokens
Pricing Model Free / Open
View Provider Analysis →

Llama 4 Scout Instruct (Free)

A-TIER

Together.AI

Intelligence Score 87/100
Context Window 512K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
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
Dolphin Mixtral
Llama 4 Scout Instruct (Free)
Context Window
32K tokens 512K tokens
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) Subject to availability
Daily Limit
Limited daily usage Unlimited (Research Preview)
Capabilities
No specific data
Multimodal
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Limited to specific free models
  • Research preview availability
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models

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