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This model is no longer active/free — kept for reference.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

View Provider Analysis →

A-TIER

LLM7.io

Intelligence Score 80/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 90/100 vs 80/100, Gemini 1.5 Pro outperforms Mistral Nemo Instruct 2407 by 10 points.

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	Mistral Nemo Instruct 2407
Context Window	2M Context, 2 RPM	128K Context
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)	5-30 RPM (varies by model)	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	Varies by model (Flash / Flash-Lite only; Pro models are paid)	Up to 5M tokens/day (rolling 24h, with free token)
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	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