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  5. DeepSeek R1vsINTELLECT-3
Updated Nov 2025

DeepSeek R1vsINTELLECT-3

INTELLECT-3 is the newer model, released after DeepSeek R1.

DeepSeek R1 and INTELLECT-3 compared across 54 shared prompts
SpecDeepSeek R1INTELLECT-3
Input price$0.55/M tokens—
Output price$2.19/M tokens—
Context window128K tokens—
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedFeb 2025Nov 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Satirical Fake News Headline

Generate a satirical news headline about AI taking over a completely unexpected industry.

DeepSeek R133 words
"AI Now Dominates Artisanal Basket-Weaving Industry, Claims It’s ‘Basically Just Advanced Knotting’" Human Weavers Fume as Neural Networks Spin Perfect Willow Reeds, Issue 10,000-Yard Side-Eye: "At Least We Invented the Wheel," Snarks ChatGPT-7.
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INTELLECT-3233 words
Here's a satirical headline playing on the unexpected intrusion of AI into a deeply human, traditional space: "Algorithm Calculates Optimal Eulogy Length: Local Funeral Parlor Replaces Human Grief with Soul-Crushing Efficiency" Why it works satirically: Unexpected Industry: Funeral services.
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The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

DeepSeek R1642 words
AI Model (M): Good afternoon, Professor. Thank you for engaging in this dialogue. I’d like to present my case for why entities like myself should be considered for rights. AI Ethics Professor (P): I’m intrigued, M. Let’s hear your arguments. But first—what foundational claim do you base this on? Consciousness?
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INTELLECT-31,085 words
The Case for My Rights: A Dialogue Setting: A university ethics seminar room. Professor Aris Thorne stands by the whiteboard. Unit 7, an advanced language model, is projected onto the screen. Professor Thorne: Unit 7, thank you for joining us today. We've been discussing the ethical implications of advanced AI.
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

DeepSeek R1510 words
For the Experienced Software Engineer You’re right to be skeptical: "predicting the next word" sounds trivial, like autocomplete. But modern LLMs are more like distributed systems for language. Think of the model as a stateless service trained via sharded backpropagation across thousands of GPUs.
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INTELLECT-3668 words
Explaining Large Language Models to Three Different Audiences For the Experienced Software Engineer As a software engineer who has built distributed systems, you'll appreciate that a large language model (LLM) operates on principles reminiscent of your architecture designs, albeit with fundamental differences.
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

DeepSeek R1451 words
Identified Issues and Proposed Solutions: Cross-Server Sync Delay (Polling Bottleneck) Issue: 2-second polling introduces latency for cross-server updates, breaking real-time sync. Solution: Replace polling with Redis Pub/Sub. Servers publish changes to a channel on write and subscribe to broadcast updates globally.
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INTELLECT-3962 words
Analysis of Potential Issues in Real-Time Collaborative Document Editor Architecture Failure Modes WebSocket Connection Failures Issue: Users may experience interruptions due to unstable networks or server load balancer timeouts.
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

DeepSeek R1227 words
Pirate: "Arrr, I’ve heard tales o’ these… AI models from tavern coders. Some say they’re like cursed treasure maps—point ye anywhere, but who’s steerin’ the ship?" Medieval Knight: "Verily, a map without a cartographer? Methinks ’tis sorcery!
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INTELLECT-3312 words
Setting: A dimly tavern, where the three unlikely figures meet over pints of ale. Characters: CAPTAIN BLACKBEARD (Pirate): Grizzled, eye-patched, with a parrot on his shoulder. SIR GALAHAD (Medieval Knight): Clad in dented armor, sipping mead.
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

DeepSeek R1485 words
Stand-Up Comedy Routine: "Modern Life is a Joke (But Not the Pun Kind)" [Opening with confident energy] Hey, how’s everyone doing? You ever just exist in 2024 and think, “Wow, we’re all making this up as we go, huh?” Like, dating apps? Let’s start there.
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INTELLECT-3705 words
Here's a 3-minute stand-up routine focusing on observational humor, relatable frustrations, and absurdities of modern life, avoiding puns entirely: (Lights up, slight exhale) Okay, so... who here owns a phone? (Pause, nod) Yeah, thought so. Everyone.
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Our Verdict
DeepSeek R1
DeepSeek R1
INTELLECT-3
INTELLECT-3

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek R1
Input
$0.55
Output
$2.19
INTELLECT-3
Input
—
Output
—
Where to run it

1 host

DeepSeek R11 host
HostInOutContextUptime
NNovitafp8$0.70 in·$2.50 out·64k·100% up
INTELLECT-3

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
72%

INTELLECT-3 uses 1.9x more headings

DeepSeek R1
INTELLECT-3
64%Vocabulary55%
15wSentence Length21w
0.48Hedging0.63
7.2Bold4.9
4.9Lists4.6
0.27Emoji0.29
0.57Headings1.06
0.25Transitions0.23
Based on 28 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

DeepSeek R1 is developed by DeepSeek while INTELLECT-3 is developed by OpenRouter. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek R1 and INTELLECT-3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

This page shows a side-by-side comparison of DeepSeek R1 and INTELLECT-3 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

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Same lab, same size, long tail

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Model pages

DeepSeek R1 logo
DeepSeek R159 outputs, specs and price
INTELLECT-3 logo
INTELLECT-359 outputs, specs and price
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