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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LLM7.io

Intelligence Score 65/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 90/100 vs 65/100, Gemini 1.5 Pro outperforms Qwen 2.5 by 25 points.

Clear Winner: Significant performance advantage for Gemini 1.5 Pro.

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	Qwen 2.5
Context Window	2M Context, 2 RPM	32K
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~60-64%
Release Date	Feb-May 2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5-30 RPM (varies by model)	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	9000 RPD (Flash) / 25 RPD (3.1 Pro)	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
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	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use