Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3.1 (Deployable)

Cerebrium

Intelligence Score 65/100

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 86/100 vs 65/100, Mixtral 8x7B Instruct outperforms Llama 3.1 (Deployable) by 21 points.

Clear Winner: Significant performance advantage for Mixtral 8x7B Instruct.

HEAD-TO-HEAD

Feature	Llama 3.1 (Deployable)	Mixtral 8x7B Instruct
Context Window	128K	32K
Architecture	Transformer (Open Weight)	Mixture of Experts (MoE)
Est. MMLU Score	~60-64%	~80-84%
Release Date	Jul 2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	Pay-per-second compute	60 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	Multilingual
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	7B
Limitations	$30 is one-time trial credits Requires some DevOps knowledge Cold starts for serverless models	$10 credit is one-time trial Billing required after credits Limited model selection
Key Strengths	Deploy any HuggingFace model Serverless GPU infrastructure Auto-scaling (scale to zero)	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime