Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100

Model Popularity 0 votes

Context Window 128K tokens

Pricing Model Free / Open

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S-TIER

Google AI Studio

Intelligence Score 93/100

Context Window 1M Context, 10 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 93/100 vs 91/100, Gemini 2.0 Flash-Lite outperforms Llama 3.1 405B by 2 points.

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

HEAD-TO-HEAD

Feature	Llama 3.1 405B	Gemini 2.0 Flash-Lite
Context Window	128K tokens	1M Context, 10 RPM
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~85-87%	~88-91%
Release Date	Jul 2024	Dec 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 RPM (free tier)	2-15 RPM
Daily Limit	Limited daily usage	1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	S-Tier (Elite)
Speed Estimate	🐢 Slower (Reasoning)	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	405B	~1.5T (estimated)
Limitations	Free tier has speed/rate limits Pro subscription needed for 405B speed Decentralized network variance	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed