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

Ollama

Intelligence Score 84/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 84/100, Gemini 1.5 Pro outperforms Mistral Nemo 12B by 6 points.

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	Mistral Nemo 12B
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	Free Tier
Rate Limit (RPM)	2-15 RPM	Hardware limited
Daily Limit	1,500 RPD (Flash) / 50 RPD (Pro)	Unlimited
Capabilities	Reasoning	Multilingual
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)	12B
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration