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

Friendli AI

Intelligence Score 86/100

Context Window 32K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 92/100 vs 86/100, Llama 3.1 405B Instruct outperforms Mixtral 8x7B Instruct by 6 points.

HEAD-TO-HEAD

Feature	Llama 3.1 405B Instruct	Mixtral 8x7B Instruct
Context Window	128K	32K
Architecture	Transformer (Open Weight)	Mixture of Experts (MoE)
Est. MMLU Score	~85-87%	~80-84%
Release Date	Jul 2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM (varies by model)	60 RPM
Daily Limit	Credit-based (no daily cap)	Credit-based
Capabilities	Reasoning	Multilingual
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	🐢 Slower (Reasoning)	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	405B	7B
Limitations	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model	$10 credit is one-time trial Billing required after credits Limited model selection
Key Strengths	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime