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

AI21 Labs

Intelligence Score 82/100

Context Window 256K

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 83/100 vs 82/100, meta/llama-3-70b-instruct outperforms Jamba 1.5 Mini by 1 point.

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

HEAD-TO-HEAD

Feature	meta/llama-3-70b-instruct	Jamba 1.5 Mini
Context Window	8K tokens	256K
Architecture	Transformer (Open Weight)	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~75-79%	~75-79%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	Varies by model	100 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	⚡ Fast	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	70b	Undisclosed
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference