Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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DeepSeek V3.2

S-TIER

Friendli AI

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 164K Context
Pricing Model Free / Open

Dolphin Mixtral

DEPRECATED

Venice.ai

This model is no longer active/free — kept for reference.

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

DeepSeek V3.2 Wins

With an intelligence score of 94/100 vs 65/100, DeepSeek V3.2 outperforms Dolphin Mixtral by 29 points.

Clear Winner: Significant performance advantage for DeepSeek V3.2.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek V3.2
Dolphin Mixtral
Context Window
164K Context 32K tokens
Architecture
Dense Transformer Mixture of Experts (MoE)
Est. MMLU Score
~88-91% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
60 RPM 10 RPM (free tier)
Daily Limit
Credit-based Limited daily usage
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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