Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Pro

S-TIER

Google AI Studio

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

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A-TIER

Qwen (Alibaba)

Intelligence Score 81/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 81/100, Gemini 1.5 Pro outperforms Qwen-Max by 9 points.

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	Qwen-Max
Context Window	2M Context, 2 RPM	32K tokens
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~75-79%
Release Date	Feb-May 2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	2-15 RPM	60 RPM
Daily Limit	1,500 RPD (Flash) / 50 RPD (Pro)	Credit-based
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	Undisclosed
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	Requires Alibaba Cloud account (Payment method) Dashboard can be complex Region selection matters
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Qwen Family: Top tier open weights Multimodal capabilities (VL models) Search Plugin integration