Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Various Open Models

NVIDIA NIM

Intelligence Score 65/100

Model Popularity 0 votes

Context Window Context Limited

Pricing Model Commercial / Paid

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OpenRouter

Intelligence Score 79/100

Context Window 32k

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 Various Open Models by 14 points.

HEAD-TO-HEAD

Feature	Various Open Models	Qwen 2.5 7B Instruct (free)
Context Window	Context Limited	32k
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~70-74%
Release Date	2024	Sep-Nov 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	40 requests/minute	20 requests/minute
Daily Limit	-	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	7B
Limitations	Phone number verification required Free credits are limited Rate limits on free tier	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	High performance models	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing