Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 2.0 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 93/100

Model Popularity 0 votes

Context Window 1M Context, 10 RPM

Pricing Model Free / Open

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S-TIER

Requesty

Intelligence Score 92/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 93/100 vs 92/100, Gemini 2.0 Flash-Lite outperforms GPT-4o (via routing) by 1 point.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	Gemini 2.0 Flash-Lite	GPT-4o (via routing)
Context Window	1M Context, 10 RPM	128K
Architecture	Transformer (Proprietary)	Transformer (Proprietary)
Est. MMLU Score	~88-91%	~85-87%
Release Date	Dec 2024	May-Nov 2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	2-15 RPM	60 RPM
Daily Limit	1,500 RPD (Flash) / 50 RPD (Pro)	Credit-based
Capabilities	No specific data	Vision
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)	~1.8T (estimated)
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing