Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 3.5 Flash

S-TIER

Google AI Studio

Intelligence Score 96/100

Model Popularity 0 votes

Context Window 1M Context

Pricing Model Free / Open

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A-TIER

LLM7.io

Intelligence Score 80/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 80/100, Gemini 3.5 Flash outperforms Mistral Nemo Instruct 2407 by 16 points.

Clear Winner: Significant performance advantage for Gemini 3.5 Flash.

HEAD-TO-HEAD

Feature	Gemini 3.5 Flash	Mistral Nemo Instruct 2407
Context Window	1M Context	128K Context
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~92-95%	~75-79%
Release Date	2026 (Expected)	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	No specific data	No specific data
Performance Tier	S-Tier (Elite)	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