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  1. Home/
  2. Compare/
  3. DeepSeek R1 0528 vs GPT-4
Updated May 2025

DeepSeek R1 0528 vs GPT-4

DeepSeek R1 0528 is cheaper than GPT-4 at $0/M vs $30/M input tokens.

Mario Level UI Recreation

Playable Mario level in one HTML file. The physics is the hard part.

Loading the build
DeepSeek R1 0528
Loading the build
GPT-4

Which answer wins?

Written rounds

10 prompts
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    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.

    GPT-4: Day 1: 8 AM-10 AM: Convene an emergency meeting with your core leadership team. This team includes the heads of Legal, Regulatory Affairs, Medical, Research and Development, Finance, and Communications. Brief them on the situation and ask for their initial input and strategies for managing the situation.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    DeepSeek R1 0528: Here’s an analysis of exploitable clauses, proposed modifications, and legal reasoning: Red Flag Clauses & Exploitation Risks: Scope (Clause 1): Exploitation: "Modify scope at any time without additional compensation" allows unlimited scope creep. Client could demand vastly more work without paying extra.

    GPT-4: SCOPE: The lack of specificity can be used against the contractor in that the client can modify the scope of work at will without renegotiating the price. This could lead to the contractor working beyond the initially agreed upon parameters without additional pay.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    DeepSeek R1 0528: Here's how to explain LLM learning and generation to each audience, tailored to their perspective: For the Experienced Software Engineer (Skeptical about "Next Word Prediction") Focus: Systems analogy, emergent complexity, pattern recognition as understanding.

    GPT-4: Experienced Software Engineer: How does a language model like GPT produce intelligent behavior? Think of it as a highly specialized function in your code. This function has been trained on a large amount of text data, and it's main goal is to predict the next word in a sentence given the previous words.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    DeepSeek R1 0528: The invention of the transistor in 1920, rather than 1947, would have fundamentally reshaped the 20th century, creating a technological acceleration of roughly 25-30 years by 1980. Here’s a detailed analysis of the implications: I.

    GPT-4: An early invention of the transistor in 1920 would have had profound implications across numerous domains, drastically altering the course of history. Technological Implications: WWII: The transistor, a fundamental component of modern electronic devices, could have advanced the technology used in WWII significantly.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    DeepSeek R1 0528: Here are the 3 weakest claims in the MindMeld AI pitch deck, why they are weak, and how to strengthen them: 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."

    GPT-4: Weak Claim 1 - Solution: While the claim that the proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy is impressive, it doesn't address concerns about user comfort, ease of use, or aesthetics.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Every model's answer to this prompt

Price and specs

Not enough votes to call it. On the specs, DeepSeek R1 0528 has the edge: newer, bigger context window.

DeepSeek R1 0528 and GPT-4 compared across 26 shared prompts
SpecDeepSeek R1 0528GPT-4
Input priceFree$30/M tokens
Output priceFree$60/M tokens
Context window164K tokens8K tokens
Parameters671B (37B active)Not disclosed
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedMay 2025May 2023
At 10M a month$0$0$300$300
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it6 hosts, cheapest first
DeepSeek R1 05284 hosts
HostInOutContextUptime
  • DDeepInfrafp4$0.50 in·$2.15 out·164k·99.9% up
  • SSiliconFlowfp8$0.50 in·$2.18 out·164k·99.9% up
  • SStreamLake$0.57 in·$2.29 out·128k·99.5% up
  • NNovitafp8$0.70 in·$2.50 out·164k·99.9% up
GPT-42 hosts
HostInOutContextUptime
  • Azure AI Foundry$30.00 in·$60.00 out·8k·100% up
  • OpenAI$30.00 in·$60.00 out·8k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 5 Oct 2026.

Common questions

What is the difference between DeepSeek R1 0528 and GPT-4?

DeepSeek R1 0528 is developed by DeepSeek while GPT-4 is developed by OpenAI. DeepSeek R1 0528 has a 164K token context window vs GPT-4's 8K. You can compare their actual outputs across 26 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek R1 0528 or GPT-4?

It depends on your use case. DeepSeek R1 0528 and GPT-4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 26 challenges so you can judge which fits your needs best.

How much does DeepSeek R1 0528 cost compared to GPT-4?

DeepSeek R1 0528 costs $0/M input tokens and GPT-4 costs $30/M input tokens. DeepSeek R1 0528 is $30.00/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare DeepSeek R1 0528 and GPT-4 on Rival?

This page shows a side-by-side comparison of DeepSeek R1 0528 and GPT-4 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.

More comparisons

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Same lab, same size, long tail

  • DeepSeek R1 0528 vs DeepSeek V4 Flash Vision ExpSame lab
  • DeepSeek R1 0528 vs DeepSeek V4.1 FlashSame lab
  • GPT-4 vs GPT-4o (Omni)Version compare
  • GPT-4 vs GPT-6.1 SolVersion compare
  • DeepSeek R1 0528 vs Claude 3.7 SonnetNew provider
  • DeepSeek R1 0528 vs Claude Sonnet 4.5New provider
  • DeepSeek R1 0528 vs Claude Fable 5Same size
  • DeepSeek R1 0528 vs Claude Fable 5.1Same size

Model pages

  • DeepSeek R1 052858 outputs, specs and price
  • GPT-426 outputs, specs and price
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