Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Llama 3 8B Instruct

BentoML

Intelligence Score 71/100

Model Popularity 0 votes

Context Window 8K

Pricing Model Commercial / Paid

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A-TIER

DeepInfra

Intelligence Score 89/100

Context Window 64K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 89/100 vs 71/100, Mixtral 8x22B Instruct outperforms Llama 3 8B Instruct by 18 points.

Clear Winner: Significant performance advantage for Mixtral 8x22B Instruct.

HEAD-TO-HEAD

Feature	Llama 3 8B Instruct	Mixtral 8x22B Instruct
Context Window	8K	64K
Architecture	Transformer (Open Weight)	Mixture of Experts (MoE)
Est. MMLU Score	~65-69%	~80-84%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	Hardware dependent	60 RPM (varies by model)
Daily Limit	Unlimited	Credit-based (no daily cap)
Capabilities	No specific data	Reasoning Multilingual
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	8B	22B
Limitations	Learning curve for 'Bento' concept Deployment requires cloud knowledge Local serving is just step 1	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	Unified Model Store Distributed Runner Architecture Deployment Agnostic	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving