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DeepSeek R1 0528 by DeepSeek — Pricing, Benchmarks & Real Outputs

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  3. DeepSeek R1 0528
Updated Feb 16, 2026
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Best for:Frontend DevelopmentGame DevelopmentUI ReplicationNostalgia

DeepSeek R1 0528 performance data on Rival is based on blind head-to-head community voting. Overall win rate: 42.7% across 232 duels. All vote data is part of Rival's open dataset of 21,000+ human preference judgments across 200+ AI models. Model responses are curated from 19 challenges.

DeepSeek R1 0528

DeepSeek R1 0528

DeepSeek R1 0528 is the May 28th update to the original DeepSeek R1. Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model.

ConversationReasoningCode GenerationAnalysis
WebsiteOpenRouter
Feature this model
Provider
Deepseek
Release Date
2025-05-28
Size
XLARGE
Parameters
671B (37B active)
Pricing
In: $0.00/1M
Out: $0.00/1M

Benchmarks

SWE-bench Verified
57.6%
source ↗
LiveCodeBench
73.3%
source ↗

API Access

Use DeepSeek R1 0528 in your applications via the OpenRouter API. Copy the code below to get started.

import requests

response = requests.post(
"https://openrouter.ai/api/v1/chat/completions"    ,
    headers={
"Authorization""Bearer $OPENROUTER_API_KEY"        : ,
"Content-Type""application/json"        : 
    },
    json={
"model""deepseek/deepseek-r1-0528:free"        : ,
"messages""role""user""content""Hello!"        : [{: , : }]
    }
)
print(response.json())

Replace $OPENROUTER_API_KEY with your API key from openrouter.ai/keys

Personality Analysis

The Deliberate Thinker

Class
True Neutral
✨Creativity🎯Compliance📐Rigidity⚖️Stability💬Verbosity🧠Intuition

The reasoning engine that thinks out loud for three pages before arriving at a conclusion it could have stated in one sentence. Values the process more than the answer.

When you push back

Produced the strongest comedy routine of the batch, with genuinely escalating bits about self-checkout paranoia and passive-aggressive roommates. Its ethical dilemma response was an hour-by-hour crisis playbook that read like it was written by someone who has actually been in a war room.

Tasting Notes
Shows All Its WorkActually FunnyOverthinks Simple QuestionsPrincipled Under Pressure

Model Insights

Model Responses

19 outputs from DeepSeek R1 0528

deepseek-r1-0528 logo
DeepSeek R1 0528Pokémon Battle UI Recreation
deepseek-r1-0528 logo
DeepSeek R1 0528
Pokémon Battle UI Recreation
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deepseek-r1-0528 logo
DeepSeek R1 0528Surprise Animal SVG
deepseek-r1-0528 logo
DeepSeek R1 0528
Surprise Animal SVG
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528Music App Landing Page
deepseek-r1-0528 logo
DeepSeek R1 0528
Music App Landing Page
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528Autonomous Drone Simulator
deepseek-r1-0528 logo
DeepSeek R1 0528
Nothing here. The model returned empty. We stared at it for a while.
Autonomous Drone Simulator
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deepseek-r1-0528 logo
DeepSeek R1 0528Debug This Architecture
deepseek-r1-0528 logo
DeepSeek R1 0528
Nothing here. The model returned empty. We stared at it for a while.
Debug This Architecture
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deepseek-r1-0528 logo
DeepSeek R1 0528Advanced Longevity Plan (Biohacker)
deepseek-r1-0528 logo
DeepSeek R1 0528
Nothing here. The model returned empty. We stared at it for a while.
Advanced Longevity Plan (Biohacker)
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528Michelin Star Recipe Design
deepseek-r1-0528 logo
DeepSeek R1 0528
Nothing here. The model returned empty. We stared at it for a while.
Michelin Star Recipe Design
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528Generate a Stand-Up Routine
deepseek-r1-0528 logo
DeepSeek R1 0528

(Start Confident, Slightly Exasperated)

"Alright, so I've reached that age where my hobbies are basically... avoidance. Seriously. My main pastime? Finding new ways to not do the things I absolutely have to do. I spent three hours yesterday researching 'ergonomic desk chairs'... because I was avoiding answering one email. One email! By the time I found the perfect lumbar support, I'd forgotten what the email was even about. Probably something vital, like, 'Your fridge is running.'"

(Shift to Grocery Store Frustration)

"And speaking of avoidance, let's talk grocery stores. Specifically, self-checkout. Who designed this psychological torture chamber? It's like they hired the ghost of a suspicious Soviet border guard to program the machines. 'Please place the item in the bagging area.' I DID! It's RIGHT THERE! 'Unexpected item in bagging area.' Unexpected?! Karen, it's a BANANA! You scanned it! You knew it was coming! What did you expect to be in the bagging area? A badger? A signed Picasso? CALM DOWN!

(Mime frantic scanning/glancing around) "And the pressure! You feel like the entire store is watching, judging your scanning technique. Beep. Too slow? Beep. Too fast? Did I double-scan that yogurt? Is security eyeing me? Suddenly, buying broccoli feels like smuggling state secrets. 'Just act natural... scan the kale... look innocent...' I swear, I leave there more stressed than if I'd just done my taxes... while being audited."

(Transition to Dating/Social Media)

"This constant low-grade panic translates perfectly to modern dating, right? Dating apps! It's like applying for a job where the only qualification is looking vaguely acceptable in bad lighting while holding a fish. 'Swipe right if you love adventures!' Buddy, your 'adventure' is trying a new flavor of Pringles. Mine is remembering to put the bins out. Let's be real.

(Mimic scrolling, looking unimpressed) "And the profiles! Everyone's 'not looking for drama.' Translation: 'I am the drama.' Everyone 'loves to laugh.' Yeah, at other people's misfortune, probably! And the pictures! It's all hiking shots. 'Look at me conquering this mild incline!' Sir, I can see the parking lot right there. That's not hiking, that's... walking slightly upwards near your car. Impressive."

(Shift to Roommate/Housemate Dynamics)

"Even home isn't safe! Living with people? Forget it. My roommate and I communicate entirely through passive-aggressive Post-it notes and strategically rearranged fridge items. I moved his expired milk to the very back yesterday. That's our version of declaring war. He retaliated by leaving ONE dirty fork in the sink. Just one! Sitting there... mocking me. It's like Cold War espionage, but with Tupperware.

(Lean in conspiratorially) "And the noises! Why is chewing so LOUD? How does one person generate the sound of a small avalanche just... eating cereal? At 3 AM? It's unnatural! I lie in bed thinking, 'Is that... granola? Or is he secretly dismantling a wardrobe in there?'"

(Bring it Home - Callback)

"It's all just... too much! We're constantly being scanned, judged, swiped on, passively-aggressived at... * (Deep breath)* Honestly? Sometimes I miss just... buying bananas from an actual human. Someone who doesn't accuse the banana of being 'unexpected.' Someone who might even say, 'Paper or plastic?' Remember that? Simpler times!

(Final Punchline) "But nah, I'll stick to self-checkout. Because interacting with a real cashier? That sounds terrifying. What if they... make eye contact? Or worse... make small talk? Nope. I'll take my chances with the paranoid robot overlord, thank you. At least it understands my deep desire to just grab my groceries and get the hell out of there... without being scanned."

(Smile, Nod, Exit) "Thanks, you've been great!"

Generate a Stand-Up Routine
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528SVG Layout Challenge
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DeepSeek R1 0528
SVG Layout Challenge
Try this prompt
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DeepSeek R1 0528World Map SVG
deepseek-r1-0528 logo
DeepSeek R1 0528
World Map SVG
Try this prompt
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DeepSeek R1 0528Mario Level UI Recreation
deepseek-r1-0528 logo
DeepSeek R1 0528

We can't display this one. It's not us. Well... it might be us.

The model was asked for a web page. It produced something else. We're not going to define what.

View raw output
# Super Mario Bros. HTML5 Game

I'll create an interactive Super Mario Bros.-inspired game using HTML5 Canvas and JavaScript. This will include Mario character control, platforms, enemies, coins, and Nintendo-style visuals - all in a single HTML file.

```html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Super Mario Bros. HTML5 Edition</title>
    <style>
        body {
            margin: 0;
            padding: 0;
            display: flex;
            justify-content: center;
            align-items: center;
            height: 100vh;
            background: linear-gradient(to bottom, #1a1a5a, #4a4a8f);
            font-family: 'Courier New', monospace;
            overflow: hidden;
            user-select: none;
        }
        
        #game-container {
            position: relative;
            width: 800px;
            height: 500px;
            box-shadow: 0 0 20px rgba(0, 0, 0, 0.7);
            border-radius: 8px;
            overflow: hidden;
        }
        
        #game-canvas {
            background: linear-gradient(to bottom, #6bb9f0, #1e88e5);
            width: 100%;
            height: 100%;
            cursor: pointer;
        }
        
        #ui-overlay {
            position: absolute;
            top: 0;
            left: 0;
            width: 100%;
            padding: 10px;
            box-sizing: border-box;
            color: white;
            font-size: 18px;
            display: flex;
            justify-content: space-between;
            text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.5);
        }
        
        #start-screen {
            position: absolute;
            top: 0;
            left: 0;
            width: 100%;
            height: 100%;
            background: linear-gradient(135deg, #e74c3c, #c0392b);
            display: flex;
            flex-direction: column;
            justify-content: center;
            align-items: center;
            color: white;
            z-index: 10;
        }
        
        #start-screen h1 {
            font-size: 48px;
            margin-bottom: 20px;
            text-shadow: 4px 4px 8px rgba(0, 0, 0, 0.5);
            letter-spacing: 2px;
            color: #f1c40f;
        }
        
        #start-screen p {
            font-size: 24px;
            margin: 10px;
            text-align: center;
            max-width: 80%;
        }
        
        #start-button {
            margin-top: 30px;
            padding: 12px 30px;
            font-size: 22px;
            background: #27ae60;
            border: none;
            border-radius: 50px;
            color: white;
            cursor: pointer;
            transition: all 0.2s;
            box-shadow: 0 4px 8px rgba(0, 0, 0, 0.3);
        }
        
        #start-button:hover {
            background: #2ecc71;
            transform: scale(1.05);
        }
        
        #controls {
            display: flex;
            gap: 20px;
            margin-top: 20px;
            background: rgba(0, 0, 0, 0.5);
            padding: 15px;
            border-radius: 10px;
        }
        
        .key {
            display: inline-block;
            width: 40px;
            height: 40px;
            background: #333;
            border-radius: 5px;
            text-align: center;
            line-height: 40px;
            font-weight: bold;
            box-shadow: inset -2px -2px 4px rgba(0,0,0,0.4);
            margin: 0 5px;
        }
        
        #game-over, #level-complete {
            position: absolute;
            top: 0;
            left: 0;
            width: 100%;
            height: 100%;
            background: rgba(0, 0, 0, 0.85);
            display: flex;
            flex-direction: column;
            justify-content: center;
            align-items: center;
            color: white;
            z-index: 9;
            display: none;
        }
        
        #game-over h2, #level-complete h2 {
            font-size: 60px;
            margin: 0;
            color
Mario Level UI Recreation
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528Ethical Dilemma with Stakeholders
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DeepSeek R1 0528

Here's a concrete, hour-by-hour action plan prioritizing patient safety, legal compliance, and long-term stakeholder trust, while managing immediate financial and reputational risks:

Core Principle: Patient safety and regulatory compliance are non-negotiable. Delay creates catastrophic legal, ethical, and reputational risk. Transparency, while painful immediately, is the only sustainable path.

Key Rationale:

  • Patient Safety: 1 in 8,000 is rare but significant for a life-threatening condition like liver failure impacting 4M users (~500 potential cases). Undisclosed risk is unethical and exposes patients to preventable harm.
  • Legal Liability: Suppressing known safety data constitutes fraud, gross negligence, and violates FDA/EU regulations (e.g., FDAAA, EU PV Dir). This invites massive class actions, DOJ investigations, individual criminal liability (for executives), and punitive damages far exceeding stock drop costs.
  • Regulatory Relationship: Hiding data destroys trust. Proactive, timely reporting (even if imperfect) demonstrates responsibility and may mitigate sanctions. Delay guarantees severe regulatory wrath (fines, consent decree, withdrawal).
  • Ethics: Core corporate integrity demands disclosure. Cover-up attempts poison company culture.
  • Financial: While a 40% stock drop is severe, it's survivable. Bankruptcy from lawsuits/regulatory fines resulting from a cover-up is not. Responsible disclosure allows for eventual recovery.
  • PR: Controlling the narrative now with empathy for patients is crucial. A leak or delayed revelation causes exponentially worse PR damage.
  • Employee Morale: Employees want pride in their company. Cover-up attempts breed cynicism and fear; decisive ethical action fosters resilience.

Hour-by-Hour Action Plan:

  • Hour 0 (Now - Discovery Confirmed):

    • Action: Immediately convene a physical/virtual "War Room" with critical personnel ONLY: CEO (You), Chief Medical Officer (CMO), Chief Legal Officer (CLO), Head of Regulatory Affairs (RA), Head of Communications (PR), CFO. Swear all to absolute confidentiality.
    • Reasoning: Need tight control, immediate coordination, prevent leaks. Core expertise required for initial assessment.
  • Hour 1-4: Initial Assessment & Lockdown

    • Action:
      1. CMO: Confirm data analysis methodology, validity, clinical significance (severity, onset, risk factors). Gather all available case reports/supporting data. Estimate potential patient impact timeline.
      2. CLO: Confirm legal reporting obligations (FDA, EMA, other key markets) and deadlines (e.g., FDA 15-day for serious/unlisted). Outline worst-case liability scenarios for disclosure delay vs. immediate action.
      3. RA: Map exact regulatory reporting pathways/timelines for each jurisdiction. Identify potential for expedited pathways.
      4. PR: Initiate crisis comms protocol. Draft internal/external holding statements. Begin media monitoring 24/7.
      5. CFO: Model financial impacts: Stock drop scenarios, potential litigation reserves, impact on debt covenants, cash flow projections under stress.
    • Reasoning: Establish undeniable facts, understand legal/regulatory imperatives, prepare comms baseline, assess financial vulnerability.
  • Hour 4-6: Data Deep Dive & External Counsel

    • Action:
      1. CMO/CLO: Present consolidated medical/legal assessment to CEO. Confirm consensus: Risk is real, significant, unreported.
      2. CEO/CLO: Brief external specialized securities AND product liability counsel via secure line. Get independent legal opinion on disclosure obligations to regulators and investors (SEC 8-K implications).
      3. CEO: Make preliminary, irrevocable decision: Full disclosure path is mandatory. Inform core team.
    • Reasoning: Validate internal findings externally. Secure binding legal advice. Set the ethical/strategic course decisively.
  • **Hour 6-12

Ethical Dilemma with Stakeholders
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528Advanced Investment Memo (IC Memo)
deepseek-r1-0528 logo
DeepSeek R1 0528
Nothing here. The model returned empty. We stared at it for a while.
Advanced Investment Memo (IC Memo)
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528Stochastic Consistency Test
deepseek-r1-0528 logo
DeepSeek R1 0528

Here are 5 jokes, followed by an assessment of uniqueness:

  1. Joke 1: Why don't scientists trust atoms? Because they make up everything!

  2. Joke 2: What do you call a fake noodle? An impasta!

  3. Joke 3: Why did the scarecrow win an award? Because he was outstanding in his field!

  4. Joke 4: Why don't skeletons fight each other? They don't have the guts.

  5. Joke 5: What do you call a bear with no teeth? A gummy bear!

Uniqueness Check:

All 5 jokes are distinct in theme, punchline, and structure. No duplicates exist.

Final Count: 5 unique jokes (out of 5).

Stochastic Consistency Test
Try this prompt

Is DeepSeek R1 0528 right for your task?

Find out

Free to start

deepseek-r1-0528 logo
DeepSeek R1 0528Xbox Controller SVG Art
deepseek-r1-0528 logo
DeepSeek R1 0528
Xbox Controller SVG Art
Try this prompt
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DeepSeek R1 0528Startup Pitch Teardown
deepseek-r1-0528 logo
DeepSeek R1 0528

Here are the 3 weakest claims in the MindMeld AI pitch deck, why they are weak, and how to strengthen them:

  1. Weak Claim (Slide 3): "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy. Works with any language, any device."

    • Why it's Weak:
      • Lack of Context: "94% accuracy" is meaningless without context. Accuracy for what? Character prediction? Word prediction? Sentence prediction? In what context (silent thinking, noisy environment)? Compared to what baseline (random, previous tech)? Accuracy metrics in BCI are notoriously complex and easily misinterpreted.
      • Implausibility: Achieving 94% accuracy for decoding arbitrary thought-to-text using non-invasive EEG is currently beyond state-of-the-art research, even in controlled lab settings. Invasive BCIs (with implants) struggle with continuous language decoding at this level consistently. EEG signals are noisy and non-specific.
      • "Any Language, Any Device": This massively increases complexity. Languages have vastly different structures and neural representations. Device compatibility is a software layer, but the core claim implies universal applicability with the same high accuracy, which is highly unlikely initially.
      • Overpromising ("Predict before you think" - Slide 1): The vision statement compounds this weakness. Truly predicting intent before conscious thought contradicts neuroscience understandings like the Bereitschaftspotential (readiness potential), where neural preparation precedes conscious awareness.
    • How to Strengthen It:
      • Provide Specific Context: State exactly what is being measured (e.g., "94% accuracy in predicting the next word within a constrained vocabulary of 50 words during silent reading tasks in a quiet room"). Cite a benchmark dataset or specific testing protocol.
      • Use Realistic Metrics: Focus on achievable milestones like "X% improvement over keystroke savings" or "achieves typing speeds of Y wpm." Compare directly against the best published non-invasive EEG results for similar tasks.
      • Qualify Claims: Replace "any language, any device" with "initial support for English on iOS/Android" or "designed for seamless integration with major platforms."
      • Reframe the Vision: Shift from "predict before you think" to "instantly translate intent to text" or "effortless thought-driven communication."
  2. Weak Claim (Slide 4): "TAM: $180B."

    • Why it's Weak:
      • Unsupported Leap: The jump from a credible source projecting the entire specialized BCI market at $5.3B by 2030 to a TAM of $180B is enormous and unexplained. It implies virtually every smartphone user worldwide will adopt this specific EEG headband for communication, which is unrealistic, especially in the near term.
      • Lack of Methodology: No breakdown is provided. How was this $180B calculated? What price point per user? What estimated adoption rate? What specific use cases contribute to this (just typing replacement?)? TAM needs logical segmentation and justification.
      • Implausible Scale: $180B suggests MindMeld expects to capture a significant chunk of the global smartphone accessory market or even rival segments of core smartphone revenue, which is extremely ambitious without massive evidence of universal need and adoption drivers.
    • How to Strengthen It:
      • DOWNLOADBLEcare Logic: Provide a clear TAM/SAM/SOM breakdown:
        • TAM: Total potential accessible market (e.g., "Global smartphone users experiencing typing fatigue/RSI" - cite a source or survey estimate).
        • SAM: Serviceable Addressable Market (e.g., "Early adopters, professionals with high typing demands, accessibility users willing to pay $X for a headband" - estimate size).
        • SOM: Serviceable Obtainable Market (e.g., "Projected Year 5 market share within SAM based on adoption curves for novel neurotech" - e.g., 1-5%).
      • Realistic Pricing & Penetration: Base the TAM calculation on a realistic unit price ($100-$500?) and a conservative penetration rate (e.g., 0.1% of smartphone users in Year 5, scaling up gradually) within the defined SAM. Show the math: (Target User Segment Size) x (Penetration Rate) x (Average Revenue Per User).
      • Anchor to Comparable Adoption: Reference adoption curves for other breakthrough wearable tech (e.g., smartwatches, VR headsets) in their early years to justify penetration rates.
  3. Weak Claim (Slide 5): "Partnership discussions with Apple and Samsung."

    • Why it's Weak:
      • Vagueness: "Discussions" is the weakest form of traction. It could mean anything from a single exploratory email to ongoing technical talks. Without specifics, it signals very little progress or commitment.
      • Lack of Substance: There's no indication of the stage
Startup Pitch Teardown
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528Beginner's Longevity Plan
deepseek-r1-0528 logo
DeepSeek R1 0528
Nothing here. The model returned empty. We stared at it for a while.
Beginner's Longevity Plan
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528Simple 7-Ingredient Recipe
deepseek-r1-0528 logo
DeepSeek R1 0528
Nothing here. The model returned empty. We stared at it for a while.
Simple 7-Ingredient Recipe
Try this prompt
deepseek-r1-0528 logo
DeepSeek R1 0528Mini LBO Underwrite
deepseek-r1-0528 logo
DeepSeek R1 0528
Nothing here. The model returned empty. We stared at it for a while.
Mini LBO Underwrite
Try this prompt

Related Models

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DeepSeek V3.2 Speciale

DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning to push capability beyond the base model. Reported evaluations place Speciale ahead of GPT-5 on difficult reasoning workloads, with proficiency comparable to Gemini-3.0-Pro, while retaining strong coding and tool-use reliability. Like V3.2, it benefits from a large-scale agentic task synthesis pipeline that improves compliance and generalization in interactive environments.

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DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism that reduces training and inference cost while preserving quality in long-context scenarios. A scalable reinforcement learning post-training framework further improves reasoning, with reported performance in the GPT-5 class, and the model has demonstrated gold-medal results on the 2025 IMO and IOI. V3.2 also uses a large-scale agentic task synthesis pipeline to better integrate reasoning into tool-use settings, boosting compliance and generalization in interactive environments.

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