Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mixtral 8x7B

A-TIER

Mistral (La Plateforme)

Intelligence Score 86/100

Model Popularity 0 votes

Context Window 32k

Pricing Model Free / Open

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A-TIER

Replicate

Intelligence Score 83/100

Context Window 8K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 86/100 vs 83/100, Mixtral 8x7B outperforms meta/llama-3-70b-instruct by 3 points.

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

HEAD-TO-HEAD

Feature	Mixtral 8x7B	meta/llama-3-70b-instruct
Context Window	32k	8K tokens
Architecture	Mixture of Experts (MoE)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	1 request/second	Varies by model
Daily Limit	-	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	7B	70b
Limitations	Phone verification required Data training opt-in required 1 request/second rate limit	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Access to Mistral's open-weight models OpenAI-compatible API endpoints Function calling support	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models