Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 2.5 7B Instruct (free)

OpenRouter

Intelligence Score 79/100

Model Popularity 0 votes

Context Window 32k

Pricing Model Free / Open

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Venice.ai

Intelligence Score 65/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 79/100 vs 65/100, Qwen 2.5 7B Instruct (free) outperforms Dolphin Mixtral by 14 points.

HEAD-TO-HEAD

Feature	Qwen 2.5 7B Instruct (free)	Dolphin Mixtral
Context Window	32k	32K tokens
Architecture	Transformer (Open Weight)	Mixture of Experts (MoE)
Est. MMLU Score	~70-74%	~60-64%
Release Date	Sep-Nov 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	20 requests/minute	10 RPM (free tier)
Daily Limit	50 requests/day (up to 1000 with $10 topup)	Limited daily usage
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	7B	Undisclosed
Limitations	Limits depend on account history/topup Community key models Free models have lower priority during peak demand	Free tier has speed/rate limits Pro subscription needed for 405B speed Decentralized network variance
Key Strengths	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network