Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Dolphin Mixtral

DEPRECATED

Venice.ai

This model is no longer active/free — kept for reference.

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

Qwen3.6 35B A3B

Hetzner Inference API

Intelligence Score 65/100
Context Window 262K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen3.6 35B A3B Wins

Equal intelligence scores (65/100), but Qwen3.6 35B A3B offers a significantly larger context window.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Dolphin Mixtral
Qwen3.6 35B A3B
Context Window
32K tokens 262K
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) 10 requests, 4M input / 100K output tokens per 60s (per API key)
Daily Limit
Limited daily usage No daily cap published (free while the API is experimental)
Capabilities
No specific data
Vision Reasoning
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 35B
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input

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