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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S-TIER

Chutes.ai

Intelligence Score 97/100

Context Window 64K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 86/100, DeepSeek-R1 outperforms Mixtral 8x7B Instruct by 11 points.

HEAD-TO-HEAD

Feature	Mixtral 8x7B Instruct	DeepSeek-R1
Context Window	32K	64K
Architecture	Mixture of Experts (MoE)	Dense Transformer
Est. MMLU Score	~80-84%	~92-95%
Release Date	2024	Jan 2025
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	Varies (community capacity)
Daily Limit	Credit-based	Subject to availability
Capabilities	Multilingual	Reasoning
Performance Tier	A-Tier (Excellent)	S-Tier (Elite)
Speed Estimate	⚡ Very Fast	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	🧠 Complex Reasoning
Model Size	7B	Undisclosed
Limitations	$10 credit is one-time trial Billing required after credits Limited model selection	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format