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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A-TIER

Mistral (La Plateforme)

Intelligence Score 80/100

Context Window 128k

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 92/100 vs 80/100, Llama 3.1 405B Instruct outperforms Mistral Nemo by 12 points.

HEAD-TO-HEAD

Feature	Llama 3.1 405B Instruct	Mistral Nemo
Context Window	128K	128k
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~85-87%	~75-79%
Release Date	Jul 2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM (varies by model)	1 request/second
Daily Limit	Credit-based (no daily cap)	-
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	🐢 Slower (Reasoning)	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	405B	Undisclosed
Limitations	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model	Phone verification required Data training opt-in required 1 request/second rate limit
Key Strengths	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving	Access to Mistral's open-weight models OpenAI-compatible API endpoints Function calling support