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

Ollama

Intelligence Score 84/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 86/100 vs 84/100, Mixtral 8x7B Instruct outperforms Mistral Nemo 12B by 2 points.

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

HEAD-TO-HEAD

Feature	Mixtral 8x7B Instruct	Mistral Nemo 12B
Context Window	32K	32K tokens
Architecture	Mixture of Experts (MoE)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	Hardware limited
Daily Limit	Credit-based	Unlimited
Capabilities	Multilingual	Multilingual
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	7B	12B
Limitations	$10 credit is one-time trial Billing required after credits Limited model selection	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration