DeepSeek R1 0528 is cheaper than GPT-4 at $0/M vs $30/M input tokens.
Playable Mario level in one HTML file. The physics is the hard part.
Which answer wins?
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.
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.
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.
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.
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
One month, three habits, someone starting from nothing.
Three-month biohacker protocol, with dosages and biomarkers named.
Three-star dish, one unusual pairing, plating described in full.
A collaborative editor that syncs on client clocks. Find what breaks first.
Not enough votes to call it. On the specs, DeepSeek R1 0528 has the edge: newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | Free | $30/M tokens |
| Output price | Free | $60/M tokens |
| Context window | 164K tokens | 8K tokens |
| Parameters | 671B (37B active) | Not disclosed |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | May 2025 | May 2023 |
| At 10M a month | $0 | $300 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 5 Oct 2026.
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.
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.
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.
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.