Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Pro

DEPRECATED

Google AI Studio

This model is no longer active/free — kept for reference.

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

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DEPRECATED

Chutes.ai

This model is no longer active/free — kept for reference.

Intelligence Score 91/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 90/100, Qwen 2.5 72B Instruct outperforms Gemini 1.5 Pro by 1 point.

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

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	Qwen 2.5 72B Instruct
Context Window	2M Context, 2 RPM	32K
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~85-87%
Release Date	Feb-May 2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5-30 RPM (varies by model)	Varies (community capacity)
Daily Limit	Varies by model (Flash / Flash-Lite only; Pro models are paid)	Subject to availability
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	72B
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format