Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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A-TIER

Friendli AI

Intelligence Score 86/100

Context Window 32K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 86/100 vs 80/100, Mixtral 8x7B Instruct outperforms DeepSeek-V4 Pro by 6 points.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Mixtral 8x7B Instruct
Context Window	128K	32K
Architecture	Dense Transformer	Mixture of Experts (MoE)
Est. MMLU Score	~75-79%	~80-84%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM	60 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	Multilingual
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	7B
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	$10 credit is one-time trial Billing required after credits Limited model selection
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime