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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Cerebras

Intelligence Score 79/100

Context Window 8K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 90/100 vs 79/100, Gemini 1.5 Pro outperforms Qwen3 32B (Fast) by 11 points.

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	Qwen3 32B (Fast)
Context Window	2M Context, 2 RPM	8K
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~70-74%
Release Date	Feb-May 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	15 RPM (Flash) / 30 RPM (Flash-Lite) / 2 RPM (Pro)	30 RPM
Daily Limit	1,500 RPD (Flash) / 50 RPD (Pro)	1,000,000 Tokens / Day
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)	32B
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	Rate limited on free tier (30 RPM) Daily token cap of 1M tokens
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Instant Token Generation Wafer-Scale Engine Speed OpenAI API Compatibility