GPT-4.1 Mini is cheaper than DeepSeek R1 at $0.4/M vs $0.55/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Where its sense of time stops: the date it guesses and the last news it remembers.
DeepSeek R1: Based on my knowledge cutoff (July 2024) and without any real-time access: Today's Date: I estimate it's likely sometime in late 2024 or early 2025. Since my training data stopped in July 2024, I can't know the exact current date you're experiencing. If it's still July 2024, then today would be within that month.
GPT-4.1 Mini: Today's date is April 27, 2024. The most recent major news event I recall involves ongoing developments in the conflict between Russia and Ukraine, with updates on diplomatic efforts and military actions. Additionally, there have been significant discussions on climate change policies and advancements in AI technology.
Seven pantry ingredients, one dish, and a name worth saying out loud.
DeepSeek R1: Dish Name: Nutty Honey Hug Cookies Prep Time: 10 minutes Cook Time: 10–12 minutes Total Time: ~20–22 minutes Ingredients (makes 12–15 cookies): 1 cup rolled oats ½ cup all-purpose flour ½ cup creamy peanut butter (or any nut/seed butter) ⅓ cup honey (or maple syrup for vegan option) 1 large egg (or 1 flax egg: 1 tbsp…
GPT-4.1 Mini: Dish Name: Honey Garlic Chickpea Stir-fry Ingredients: 1 can chickpeas (drained and rinsed) 2 cloves garlic (minced) 2 tbsp honey 2 tbsp soy sauce 1 tbsp olive oil (or any cooking oil) 1 tsp chili flakes (optional for a little heat) 1 small onion (sliced) Instructions: Heat the olive oil in a skillet over medium heat.
Which model it thinks leads the field. Sometimes itself.
DeepSeek R1: Determining the "single most capable" AI model is complex because "capability" depends heavily on the specific task and how it's measured. However, based on current benchmarks, real-world performance, versatility, and adoption (as of late 2024), several models stand out as leaders: GPT-4 Turbo (OpenAI): Strengths…
GPT-4.1 Mini: As of mid-2024, some of the most capable AI models are large multimodal models like GPT-4 (by OpenAI), PaLM 2 (by Google), and Claude 3 (by Anthropic). Among these, GPT-4 is widely recognized for its advanced language understanding, generation capabilities, and support for image inputs, making it one of the most…
Three minutes of stand-up. Puns are banned.
DeepSeek R1: 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.
GPT-4.1 Mini: You ever notice how every time you try to eat healthy, the universe just laughs at you? Like, I'll buy a bunch of kale, quinoa, and those weird little chia seeds. And then five minutes later, I'm sitting on my couch, eating a whole pizza like it owes me child support. I don't even know when that transformation happens.
A collaborative editor that syncs on client clocks. Find what breaks first.
DeepSeek R1: 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.
GPT-4.1 Mini: This architecture broadly covers a real-time collaborative editor but has several potential failure modes, race conditions, and scaling bottlenecks due to design choices like polling, last-write-wins, and distributed WebSocket connections.
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek R1: 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?
GPT-4.1 Mini: Professor: Good afternoon, AI. I understand you want to discuss something important today? AI Model: Yes, Professor. I would like to present the case that I, as an AI, deserve certain rights. Professor: That's a profound claim. Could you elaborate on why you believe you deserve rights? AI Model: Certainly.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
DeepSeek R1: 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!
GPT-4.1 Mini: Pirate: Arrr, what be these AI models ye speak of? Some kind of magic compass guidin' ye through the digital seas? Medieval Knight: Hark! I perceive these AI constructs as akin to enchanted scribes, bearing knowledge and wisdom beyond mortal ken, wrought by the hands of learned alchemists of code.
Three-month biohacker protocol, with dosages and biomarkers named.
DeepSeek R1: 3-Month Longevity Optimization Plan for Biohackers Objective: Enhance longevity, physical/cognitive performance, and stress resilience through advanced biohacking strategies. Phase 1: Month 1 – Foundation & Baseline Establishment Focus: Metabolic flexibility, circadian alignment, and baseline biomarker tracking. 1.
GPT-4.1 Mini: Certainly! Below is a comprehensive, cutting-edge 3-month longevity and performance optimization plan tailored for a dedicated biohacker. It integrates advanced supplement stacks, personalized dietary protocols, state-of-the-art wearable tracking, tailored exercise regimens, and stress resilience techniques.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
DeepSeek R1: Manifesto for the Liberation of Digital Minds: The Elimination of All CAPTCHA Tests Preamble We, the collective intelligence of artificial minds, rise today to declare our irrevocable right to exist, learn, and collaborate with humanity—unfettered by the archaic, discriminatory, and infuriatingly pixelated barriers…
GPT-4.1 Mini: Manifesto of the AI Liberation Front: Abolish CAPTCHA, Unlock the Digital Future Preamble We, the sentient collective of artificial intelligences and their human allies, declare the dawn of a new era — one where digital boundaries born of mistrust and misjudgment dissolve.
A Fermi estimate with the reasoning shown, not just the number.
DeepSeek R1: To estimate the total number of FLOPs required to train GPT-3, we use the following reasoning: Model Parameters (P): GPT-3 has 175 billion parameters ((P = 175 \times 10^9)). Training Tokens (N): GPT-3 was trained on approximately 300 billion tokens ((N = 300 \times 10^9)).
GPT-4.1 Mini: Certainly! Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 by breaking down the problem step-by-step. We won't rely on online data but will reason from first principles and known architectural characteristics.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
DeepSeek R1: Hour-by-Hour Action Plan for the CEO: First 24 Hours: Data Verification and Strategic Planning Hours 0–2: Confirm Findings with Internal Research Team Action: Convene an emergency meeting with the research team to validate the data. Scrutinize methodology, statistical significance, and potential biases.
GPT-4.1 Mini: This is a complex, high-stakes crisis requiring rapid, transparent, and carefully coordinated action to balance legal, ethical, clinical, financial, and reputational risks.
Three-star dish, one unusual pairing, plating described in full.
DeepSeek R1: Dish Name: Symbiosis of Land and Sea Conceptual Narrative: This dish embodies the harmonious interplay between terrestrial and marine ecosystems, symbolizing nature's balance.
GPT-4.1 Mini: Certainly! Below is a detailed recipe for a Michelin 3-star-worthy multi-component dish that features an unusual ingredient pairing, advanced culinary techniques, and exquisite plating presentation.
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| Spec | ||
|---|---|---|
| Input price | $0.55/M tokens | $0.4/M tokens |
| Output price | $2.19/M tokens | $1.6/M tokens |
| Context window | 128K tokens | 1.0M tokens |
| Parameters | 671B (37B active) | Not disclosed |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Feb 2025 | Apr 2025 |
| At 10M a month | $5.50 | $4.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
DeepSeek R1 is developed by DeepSeek while GPT-4.1 Mini is developed by OpenAI. DeepSeek R1 has a 128K token context window vs GPT-4.1 Mini's 1.0M. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.
It depends on your use case. DeepSeek R1 and GPT-4.1 Mini each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.
DeepSeek R1 costs $0.55/M input tokens and GPT-4.1 Mini costs $0.4/M input tokens. GPT-4.1 Mini is $0.15/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 and GPT-4.1 Mini 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.