Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100

Model Popularity 0 votes

Context Window 32K

Pricing Model Commercial / Paid

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A-TIER

AI21 Labs

Intelligence Score 88/100

Context Window 256K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 88/100 vs 86/100, Jamba 1.5 Large outperforms Mixtral 8x7B Instruct by 2 points.

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

HEAD-TO-HEAD

Feature	Mixtral 8x7B Instruct	Jamba 1.5 Large
Context Window	32K	256K
Architecture	Mixture of Experts (MoE)	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~80-84%	~80-84%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM	100 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	Multilingual	Reasoning
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	7B	Undisclosed
Limitations	$10 credit is one-time trial Billing required after credits Limited model selection	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference