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

View Provider Analysis →

A-TIER

DeepInfra

Intelligence Score 89/100

Context Window 64K

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 89/100 vs 80/100, Mixtral 8x22B Instruct outperforms DeepSeek-V4 Pro by 9 points.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Mixtral 8x22B Instruct
Context Window	128K	64K
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 (varies by model)
Daily Limit	Credit-based	Credit-based (no daily cap)
Capabilities	No specific data	Reasoning Multilingual
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	22B
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving