Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.1 405B Instruct

S-TIER

DeepInfra

Intelligence Score 92/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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S-TIER

Google AI Studio

Intelligence Score 90/100

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 92/100 vs 90/100, Llama 3.1 405B Instruct outperforms Gemini 1.5 Pro by 2 points.

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

HEAD-TO-HEAD

Feature	Llama 3.1 405B Instruct	Gemini 1.5 Pro
Context Window	128K	2M Context, 2 RPM
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~85-87%	~85-87%
Release Date	Jul 2024	Feb-May 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM (varies by model)	2-15 RPM
Daily Limit	Credit-based (no daily cap)	1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities	Reasoning	Reasoning
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	🐢 Slower (Reasoning)	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	405B	~1.5T (estimated)
Limitations	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed