Battle of the Models

Compare specific LLM models, context windows, and capabilities.

meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100

Model Popularity 0 votes

Context Window 8K tokens

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

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 89/100 vs 83/100, Mixtral 8x22B Instruct outperforms meta/llama-3-70b-instruct by 6 points.

HEAD-TO-HEAD

Feature	meta/llama-3-70b-instruct	Mixtral 8x22B Instruct
Context Window	8K tokens	64K
Architecture	Transformer (Open Weight)	Mixture of Experts (MoE)
Est. MMLU Score	~75-79%	~80-84%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	Varies by model	60 RPM (varies by model)
Daily Limit	Credit-based	Credit-based (no daily cap)
Capabilities	No specific data	Reasoning Multilingual
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	70b	22B
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving