Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-R1

S-TIER

NVIDIA NIM

Intelligence Score 97/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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A-TIER

DeepInfra

Intelligence Score 89/100

Context Window 64K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 89/100, DeepSeek-R1 outperforms Mixtral 8x22B Instruct by 8 points.

HEAD-TO-HEAD

Feature	DeepSeek-R1	Mixtral 8x22B Instruct
Context Window	128K	64K
Architecture	Dense Transformer	Mixture of Experts (MoE)
Est. MMLU Score	~92-95%	~80-84%
Release Date	Jan 2025	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	40 requests/minute	60 RPM (varies by model)
Daily Limit	-	Credit-based (no daily cap)
Capabilities	No specific data	Reasoning Multilingual
Performance Tier	S-Tier (Elite)	A-Tier (Excellent)
Speed Estimate	🐢 Slower (Reasoning)	Medium
Primary Use Case	🧠 Complex Reasoning	General Purpose
Model Size	Undisclosed	22B
Limitations	Phone number verification required Free credits are limited Rate limits on free tier	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	High performance models	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving