Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemma 2 9B

A-TIER

Ollama

Intelligence Score 80/100
Model Popularity 0 votes
Context Window 8K 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

Gemma 2 9B Wins

With an intelligence score of 80/100 vs 65/100, Gemma 2 9B outperforms Dolphin Mixtral by 15 points.

Clear Winner: Significant performance advantage for Gemma 2 9B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Gemma 2 9B
Dolphin Mixtral
Context Window
8K tokens 32K tokens
Architecture
Transformer Mixture of Experts (MoE)
Est. MMLU Score
~75-79% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 10 RPM (free tier)
Daily Limit
Unlimited Limited daily usage
Capabilities
Reasoning
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
9B Undisclosed
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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