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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A-TIER

Ollama

Intelligence Score 85/100

Context Window 64K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 93/100 vs 85/100, Gemini 2.0 Flash-Lite outperforms DeepSeek Coder V2 by 8 points.

HEAD-TO-HEAD

Feature	Gemini 2.0 Flash-Lite	DeepSeek Coder V2
Context Window	1M Context, 10 RPM	64K tokens
Architecture	Transformer (Proprietary)	Dense Transformer
Est. MMLU Score	~88-91%	~80-84%
Release Date	Dec 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	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	💻 Code Generation
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	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