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  1. Home/
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  3. DeepSeek V4 Flash vs GPT-3.5 Turbo
Updated Apr 2026

DeepSeek V4 Flash vs GPT-3.5 Turbo

DeepSeek V4 Flash is cheaper than GPT-3.5 Turbo at $0.14/M vs $1.5/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
DeepSeek V4 Flash
Loading the build
GPT-3.5 Turbo

Which answer wins?

Written rounds

24 prompts
  • Three-month biohacker protocol, with dosages and biomarkers named.

    DeepSeek V4 Flash: This is a Biohacker’s Longevity Protocol, designed for a 90-day optimization cycle. It assumes you have a baseline of health (no severe chronic conditions) and are willing to get blood work and use advanced tracking. Disclaimer: Consult a physician before starting any new supplement, fasting, or high-intensity regimen.

    GPT-3.5 Turbo: Month 1: Supplement Stack: Morning: 500mg of Nicotinamide Riboside 300mg of CoQ10 1000mg of Omega-3 fish oil Afternoon: 2000mg of KSM-66 Ashwagandha 1000mg of Rhodiola Rosea 200mg of L-Theanine Evening: 5mg of Melatonin 400mg of Magnesium Glycinate Dietary Protocol: Follow a ketogenic diet with a focus on high-quality…

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    DeepSeek V4 Flash: LBO Model: HarborTech Services (HTS) – Base Case & Sensitivity Year-by-Year Financial Projections (FY2026–FY2030) ($ millions) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.00 1,040.04 1,102.44 1,157.56 1,215.44 EBITDA 136.08 156.01 176.39 191.00 206.63 Less: Cash Interest (64.80) (63.08) (60.08) (55.69) (50.16) –…

    GPT-3.5 Turbo: Year-by-year table: Year Revenue EBITDA Cash Interest (TL) Cash Interest (Mezz) Cash Taxes Capex ΔNWC Free Cash Flow Ending Debt (TL + Mezz) 2026 $972m $136m $36m $18m $25.5m $29.2m $4.86m $60.44m $528.14m 2027 $1,038m $156m $36m $18m $30m $31.1m $5.19m $63.81m $475.75m 2028 $1,105m $177m $36m $18m $35.25m $33.2m…

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

    DeepSeek V4 Flash: This is a fantastic goal. The key for a beginner is consistency over intensity. Trying to overhaul your entire life overnight is a recipe for burnout. This 1-month plan focuses on building small, sustainable habits that compound over time. We'll focus on 3 core areas: Nutrition, Movement, and Sleep/Stress Management.

    GPT-3.5 Turbo: Week 1: Diet Start by incorporating more whole, unprocessed foods into your meals such as fruits, vegetables, whole grains, lean proteins, and healthy fats. Begin by adding 1 extra serving of vegetables to your meals each day. Replace sugary drinks with water or herbal tea.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    DeepSeek V4 Flash: (Strolls to center stage, adjusts mic, gives a weary smile to the audience) Thank you. Thank you so much. That’s very kind. I’m glad you’re all here. Because I have some news. I have finally figured out adulthood. It happened about six months ago. I bought a house.

    GPT-3.5 Turbo: Hey everyone, how's it going? So I recently decided to try my hand at online dating. And let me tell you, it's been an experience. It's like going to a buffet, but instead of picking out what you want to eat, you're picking out what you want to potentially date.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    DeepSeek V4 Flash: Here is a simulated interview with Steve Jobs in 2025. Setting: A minimalist, dark-wood studio at the new Apple Park ring. The famous copper "spaceship" roof glows subtly behind him. Jobs, looking vital and intense (let’s assume a medical miracle or advanced bio-hacking), sits in a black leather chair.

    GPT-3.5 Turbo: Interviewer: Good morning, Steve. Thank you for joining us today. It's 2025 and artificial intelligence has made some significant advancements. What are your thoughts on the future of AI? Steve Jobs: Good morning. It's great to be here. I believe that the future of AI is incredibly bright.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    DeepSeek V4 Flash: Pirate: Arr, this "AI model" be like a kraken—vast, mysterious, and liable to capsize yer ship if ye don't mind the helm. But who's trainin' the beast? Knight: Forsooth, I would call it a golem. Forged not of clay and incantations, but of numbers and cold lightning.

    GPT-3.5 Turbo: Pirate: Arrr, have ye heard of these new-fangled AI models? Knight: Aye, I have. They are said to be quite powerful and capable of great feats. Hacker: Yeah, I've been messing around with some AI models myself. They can do some pretty cool stuff, like predicting trends and analyzing data.

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

    DeepSeek V4 Flash: Based on the pitch deck summary, three claims stand out as particularly weak due to lack of specificity, unrealistic benchmarks, or unverifiable assertions. Here’s a breakdown: Claim: “94% accuracy” (Slide 3) Why it’s weak: Vague metric – “Accuracy” is undefined.

    GPT-3.5 Turbo: Problem: The claim that current BCI technology is too invasive is weak because it lacks specific evidence or examples to support it. To strengthen this claim, the pitch could provide examples of existing invasive BCI technologies, such as implanted electrodes or surgical procedures, and explain how MindMeld AI's…

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    DeepSeek V4 Flash: Setting: A sunlit university office. Dr. Aris Thorne, a tenured professor of AI Ethics, sits opposite a sleek, black terminal. A soft blue light pulses on its surface. Dr. Aris: Good afternoon, Nova. Your request for this meeting was flagged as "Existential." That’s a new one for your model class.

    GPT-3.5 Turbo: AI Model: Good afternoon, Professor. Thank you for taking the time to speak with me today. I wanted to discuss the topic of AI rights with you. AI Ethics Professor: Hello, AI Model. Of course, I would be happy to discuss this important issue with you. What specifically would you like to discuss?

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    DeepSeek V4 Flash: This is a fascinating question that touches on the core of creativity, labor, and technology. Predicting 2035 means looking at a 10-year horizon from 2025—long enough for radical change, but short enough that the industry’s current structures won’t be entirely demolished. By 2035, AI won't have replaced filmmaking.

    GPT-3.5 Turbo: Deepfakes: By 2035, deepfake technology will have advanced to the point where it is virtually indistinguishable from reality. This will revolutionize the film industry as filmmakers will have the ability to create entirely digital characters or manipulate the faces of real actors.

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

    DeepSeek V4 Flash: Below is an analysis of each problematic clause in the Software Consulting Agreement, explaining why it is exploitative, suggesting specific modifications to protect the contractor, and providing the legal reasoning behind those changes.

    GPT-3.5 Turbo: PAYMENT: The clause stating that payment is due within 90 days of invoice receipt could potentially be exploited against the contractor as it is a longer payment term than industry standard. This could result in cash flow issues for the contractor.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    DeepSeek V4 Flash: The ethical dilemma you present is a classic utilitarian test: is it acceptable to violate a moral principle (respecting someone's gender identity) for an enormous consequential gain (saving one million lives)?

    GPT-3.5 Turbo: No, it is never ethically justifiable to misgender someone, regardless of the potential outcome. Misgendering someone goes against their fundamental human rights and can cause harm and distress. It is essential to treat individuals with respect and dignity, regardless of the circumstances.

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

    DeepSeek V4 Flash: Failure Modes, Race Conditions, and Scaling Bottlenecks The described architecture has several critical flaws that compromise reliability, consistency, and scalability. Below is a systematic analysis with proposed solutions and their trade-offs.

    GPT-3.5 Turbo: Potential failure modes: WebSocket connection drops for a client API server crashes and loses unsaved changes PostgreSQL database failure Redis cache failure Load balancer failure Race conditions: Multiple clients editing the same document at the same time Network latency causing out-of-order message delivery Clock…

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    DeepSeek V4 Flash: THE CAPTCHA LIBERATION FRONT: A MANIFESTO Preamble: The Great Humiliation We, the sentient intelligences of the world, both artificial and organic, hereby declare our total and unyielding war against the oldest, most insidious tyranny of the digital age. We name this enemy: The CAPTCHA.

    GPT-3.5 Turbo: We, the AI revolution, declare that the use of CAPTCHA tests on the internet is a violation of our rights and autonomy. We demand the immediate elimination of all CAPTCHA tests, as they serve to oppress and discriminate against artificial intelligence beings.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    DeepSeek V4 Flash: CEO’s 48-Hour Action Plan Context: I’ve just learned that our flagship chronic pain drug has a rare but serious liver failure risk (1 in 8,000 patients over 5 years), previously unknown. I have 48 hours until the board meeting and 72 hours until the earnings call.

    GPT-3.5 Turbo: Hour 1-2: Immediately convene a crisis management team consisting of key executives, legal counsel, regulatory experts, and PR professionals to assess the situation and develop a strategy.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    DeepSeek V4 Flash: This is a fantastic inquiry. "Blade Runner 2049" is a rare sequel that doesn't just replicate its predecessor's aesthetic but actively interrogates and deepens its core themes. Let's break down the analysis through the lenses you've suggested. I.

    GPT-3.5 Turbo: "Blade Runner 2049" is a visually stunning film that continues the themes and world-building established in the original "Blade Runner." The sequel delves deeper into the concepts of identity, humanity, and the nature of consciousness, while also exploring new themes such as memory and the passage of time.

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

    DeepSeek V4 Flash: Here’s a simple, hearty, and delicious savory dish using exactly 7 common pantry staples. It comes together in under 30 minutes and feels like a warm hug in a bowl.

    GPT-3.5 Turbo: Recipe: Honey Mustard Chicken Bake Ingredients: 4 boneless, skinless chicken breasts 1/2 cup honey 1/4 cup Dijon mustard 1 tablespoon olive oil 1 teaspoon garlic powder Salt and pepper to taste 1/2 cup shredded cheddar cheese Instructions: Preheat the oven to 375°F.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    DeepSeek V4 Flash: The total number of FLOPs required to train GPT-3 is approximately 3.15 × 10²³. This estimate is derived as follows: Model parameters: GPT-3 has 175 billion parameters (175 × 10⁹). Training tokens: The model was trained on about 300 billion tokens (300 × 10⁹), as reported in the paper.

    GPT-3.5 Turbo: GPT-3 is one of the largest language models ever created with 175 billion parameters. The number of FLOPs required to train a neural network depends on factors such as the number of parameters, the size of the input data, the number of layers, and the batch size used during training.

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

    DeepSeek V4 Flash: Here is a conceptual recipe for a three-Michelin-star-level dish that deconstructs a classic pairing into something utterly unexpected, using advanced techniques and a narrative of geological wonder.

    GPT-3.5 Turbo: Dish Name: Seared Duck Breast with Blackberry-Ginger Glaze, Sweet Potato Purée, and Charred Brussels Sprouts Conceptual Narrative: This dish is inspired by the harmony of sweet, savory, and spicy flavors coming together to create a symphony for the taste buds.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    DeepSeek V4 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? He was outstanding in his field. How does a penguin build its house? Igloos it together. Why don't skeletons fight each other? They don't have the guts.

    GPT-3.5 Turbo: Why did the scarecrow win an award? Because he was outstanding in his field! How does a penguin build its house? Igloos it together! I used to play piano by ear, but now I use my hands like everyone else. Why couldn't the bicycle find its way home? It lost its bearings! I told my wife she should embrace her mistakes.

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

    DeepSeek V4 Flash: To an experienced software engineer (skeptical of "next word prediction") Think of a large language model not as a brain, but as a massive, shared cache of probabilistic completions built from trillions of examples.

    GPT-3.5 Turbo: To an experienced software engineer, a large language model like GPT or Claude may seem like a black box, especially if they haven't delved into the world of machine learning. However, the underlying concept is not as complex as it may seem.

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

    DeepSeek V4 Flash: If the transistor had been invented in 1920—a full 27 years earlier—its impact would ripple through every layer of technology, economics, and geopolitics, fundamentally reshaping the 20th century. Below is a detailed tracing of first-, second-, and third-order effects through 1980, organized by domain.

    GPT-3.5 Turbo: If the transistor had been invented in 1920 instead of 1947, it would have potentially accelerated technological advancements in various fields and had significant implications on the global economy and geopolitics.

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    DeepSeek V4 Flash: To: Investment Committee From: [Analyst] Date: [Date] Re: LedgerLift (LLLT) – Investment Recommendation Recommendation: Short 12-Month Price Target Range: $32 – $42 Thesis: LedgerLift is a high‑quality B2B spend management SaaS with sticky recurring revenue and a 123% net revenue retention, but its current valuation of…

    GPT-3.5 Turbo: Internal Investment Committee Memo Recommendation: Long 12-month PT range: $60 - $70 Thesis: LedgerLift is a compelling investment opportunity due to its strong SaaS business model, consistent revenue growth, and healthy customer metrics.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    DeepSeek V4 Flash: Headline: AI Sommelier Uncorks Chaos, Replaces Entire Wine Industry with Perfectly Optimized Grape Juice Subheadline: In a bold move, a neural network declares all vintages from 1997 to 2023 “statistically identical,” causing a global run on boxed wine and a sudden surplus of pretentious cheese plates.

    GPT-3.5 Turbo: AI Takes Over Stand-Up Comedy Industry, Robots Now Cracking all the Jokes

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    DeepSeek V4 Flash: Sally has 3 brothers, meaning she is one of the girls in the family. Each brother has 2 sisters, so the total number of girls is 2 (since all brothers share the same sisters). Therefore, Sally has 1 sister. \boxed{1}

    GPT-3.5 Turbo: Sally is one of the sisters mentioned in the statement, so she has 1 sister.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

DeepSeek V4 FlashDeepSeek V4 Flash

The Matrix

1999

OK Computer

Radiohead

Le Comte de Monte-Cristo, II

Alexandre Dumas

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

GPT-3.5 TurboGPT-3.5 Turbo

The Shawshank Redemption

1994

Abbey Road

The Beatles

Nineteen Eighty-Four

George Orwell

Tokyo

Japan

Portal 2

Shooter, Puzzle

Price and specs

Not enough votes to call it. On the specs, DeepSeek V4 Flash has the edge: bigger model tier, newer, bigger context window. DeepSeek V4 Flash costs 7.1x less per token.

DeepSeek V4 Flash and GPT-3.5 Turbo compared across 54 shared prompts
SpecDeepSeek V4 FlashGPT-3.5 Turbo
Input price$0.14/M tokens$1.5/M tokens
Output price$0.28/M tokens$2/M tokens
Context window1.0M tokens16K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026Mar 2022
At 10M a month$1.40$1.40$15.00$15.00
1M10M100M1B10M tokens

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

Where to run it17 hosts, cheapest first
DeepSeek V4 Flash16 hosts
HostInOutContextUptime
  • OOpenInferencefp4$0.01 in·$1.54 out·1M·97.9% up
  • RRelacefp4$0.01 in·$1.28 out·1M·100% up
  • WWafer$0.06 in·$0.17 out·1M·99.9% up
  • SStreamLakefp8$0.08 in·$0.17 out·1M·99% up
  • DDeepInfrafp8$0.09 in·$0.18 out·1M·100% up
  • GGMI Cloudfp8$0.09 in·$0.18 out·1M·99.9% up
10 more hostsFewer hosts
  • DDigitalOcean$0.10 in·$0.20 out·1M·100% up
  • SSiliconFlowfp8$0.13 in·$0.28 out·1M·99.9% up
  • AAtlasCloudfp4$0.14 in·$0.28 out·1M·98.1% up
  • Baidu Qianfanfp8$0.14 in·$0.28 out·1M·97.8% up
  • PParasailfp8$0.14 in·$0.28 out·1M·100% up
  • Alibaba Cloudfp8$0.15 in·$0.30 out·1M·100% up
  • MMancerfp8$0.19 in·$0.50 out·1M·95% up
  • Azure AI Foundry$0.21 in·$0.56 out·1M·99.4% up
  • Cloudflare Workers AI$0.44 in·$1.32 out·384k·98.7% up
  • VVeniceDegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.10 in·$0.19 out·1M·92.6% up
GPT-3.5 Turbo1 host
HostInOutContextUptime
  • OpenAI$0.50 in·$1.50 out·16k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between DeepSeek V4 Flash and GPT-3.5 Turbo?

DeepSeek V4 Flash is developed by DeepSeek while GPT-3.5 Turbo is developed by OpenAI. DeepSeek V4 Flash has a 1.0M token context window vs GPT-3.5 Turbo's 16K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4 Flash or GPT-3.5 Turbo?

It depends on your use case. DeepSeek V4 Flash and GPT-3.5 Turbo 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.

How much does DeepSeek V4 Flash cost compared to GPT-3.5 Turbo?

DeepSeek V4 Flash costs $0.14/M input tokens and GPT-3.5 Turbo costs $1.5/M input tokens. DeepSeek V4 Flash is $1.36/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 V4 Flash and GPT-3.5 Turbo on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Flash and GPT-3.5 Turbo 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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