Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 3.1 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 96/100

Model Popularity 0 votes

Context Window 1M Context

Pricing Model Free / Open

View Provider Analysis →

A-TIER

LLM7.io

Intelligence Score 85/100

Context Window 1M Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 96/100 vs 85/100, Gemini 3.1 Flash-Lite outperforms Nemotron 3 Nano 30B by 11 points.

HEAD-TO-HEAD

Feature	Gemini 3.1 Flash-Lite	Nemotron 3 Nano 30B
Context Window	1M Context	1M Context
Architecture	Transformer (Proprietary)	Transformer
Est. MMLU Score	~92-95%	~80-84%
Release Date	2026 (Expected)	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies by model (per-model limits are now shown only inside AI Studio)	1 req/s, 60/min, 250/hour (free token from dash.llm7.io)
Daily Limit	Varies by model. Free: Flash, Flash-Lite and Gemini 2.5 Pro; Gemini 3.x Pro models are paid	100,000 tokens per 24h (free token; may be reduced without notice)
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	30B
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