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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S-TIER

Requesty

Intelligence Score 93/100

Context Window 200K

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 93/100 vs 83/100, Claude 3.5 Sonnet (via routing) outperforms meta/llama-3-70b-instruct by 10 points.

HEAD-TO-HEAD

Feature	meta/llama-3-70b-instruct	Claude 3.5 Sonnet (via routing)
Context Window	8K tokens	200K
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~75-79%	~88-91%
Release Date	2024	Jun-Oct 2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	Varies by model	60 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	Reasoning
Performance Tier	B-Tier (Strong)	S-Tier (Elite)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	70b	Unknown
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing