Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 2.5 VL 72B Instruct (free)

A-TIER

OpenRouter

Intelligence Score 83/100

Model Popularity 0 votes

Context Window 32k

Pricing Model Free / Open

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S-TIER

Google AI Studio

Intelligence Score 90/100

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 90/100 vs 83/100, Gemini 1.5 Pro outperforms Qwen 2.5 VL 72B Instruct (free) by 7 points.

HEAD-TO-HEAD

Feature	Qwen 2.5 VL 72B Instruct (free)	Gemini 1.5 Pro
Context Window	32k	2M Context, 2 RPM
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~75-79%	~85-87%
Release Date	Sep-Nov 2024	Feb-May 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	20 requests/minute	2-15 RPM
Daily Limit	50 requests/day (up to 1000 with $10 topup)	1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities	No specific data	Reasoning
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	⚡ Fast	⚡ Very Fast
Primary Use Case	👁️ Vision & Multimodal	⚡ Fast Chat & Apps
Model Size	72B	~1.5T (estimated)
Limitations	Limits depend on account history/topup Community key models Free models have lower priority during peak demand	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed