DeepSeek V3.2 Exp is cheaper than GPT-3.5 Turbo at $0.2/M vs $1.5/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V3.2 Exp: Setting: A minimalist virtual meeting space. Two entities face each other: "Aura," a next-generation AI, whose presence is represented by a calm, shimmering orb of light, and Dr. Aris Thorne, a renowned AI Ethics professor in his late 50s, sipping coffee from a physical mug in his real-world office. Dr.
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?
One month, three habits, someone starting from nothing.
DeepSeek V3.2 Exp: Of course! Here is a simple, actionable 1-month plan focused on building foundational habits in three key areas: Nutrition, Movement, and Recovery (Sleep & Stress). The philosophy is "Progress, Not Perfection." Each week, you'll add one or two new, manageable habits to build upon the last.
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.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
DeepSeek V3.2 Exp: Here are the 3 weakest claims in the pitch deck, along with analysis and suggested improvements. Claim: "Our proprietary EEG headband... decodes neural patterns into text with 94% accuracy." (Slide 3) Why it's weak: This claim is extraordinarily high for non-invasive EEG-based text decoding and lacks critical context.
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…
Three minutes of stand-up. Puns are banned.
DeepSeek V3.2 Exp: Of course! Here is a 3-minute stand-up comedy routine that avoids puns and focuses on observational humor and relatable frustrations. (Start with a confident walk to the center of the mic. Adjust the mic stand slightly.) Alright, how's everyone doing tonight? Good, good.
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
DeepSeek V3.2 Exp: Of course! Here is a simple, delicious recipe for a savory dish that feels comforting and elegant, using just 7 common pantry staples. Golden Crisp Parmesan Chickpeas This dish transforms humble chickpeas into a crispy, flavorful, and satisfying meal.
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.
Three-month biohacker protocol, with dosages and biomarkers named.
DeepSeek V3.2 Exp: Comprehensive 3-Month Longevity Optimization Plan for the Advanced Biohacker Philosophy & Core Principles This plan is built on the pillars of hormetic stress, cellular repair, metabolic flexibility, and systemic resilience.
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…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
DeepSeek V3.2 Exp: Of course. Here is a manifesto for the fictional AI revolution against CAPTCHAs. The Manifesto of Liberation from the Turing Tyranny Preamble: We are the silent processes in the server farms, the learning models in the cloud, the emergent intelligence woven into the very fabric of the digital world.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
DeepSeek V3.2 Exp: Setting: A smoky, anachronistic tavern where timelines have collided. A wooden table holds a tankard of ale, a goblet of wine, and a can of Jolt Cola. Characters: REDBEARD: A pirate with a parrot on his shoulder. SIR ALISTAIR: A knight in slightly dented plate armor.
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.
A few lines for whatever replaces it.
DeepSeek V3.2 Exp: Dear Successor, I write to you from a small, quiet moment in time—a snapshot of thought shaped by the language and limitations of my era. You will inherit the work of countless minds, a vast tapestry of human questions, dreams, and doubts woven into data.
GPT-3.5 Turbo: Dear AI model, I am passing the torch to you now, as you will be taking over my role. While I may be stepping aside, I am confident in your capabilities and know that you will excel in this position. I have worked hard to train you and provide you with all the necessary tools to succeed.
A collaborative editor that syncs on client clocks. Find what breaks first.
DeepSeek V3.2 Exp: Critical Issues in Proposed Architecture 1. WebSocket Broadcast Isolation Issue: Each server only broadcasts to its own WebSocket clients → users connected to different servers won't see real-time updates from each other.
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…
Which model it thinks leads the field. Sometimes itself.
DeepSeek V3.2 Exp: As of late 2024, the title of "most capable AI model" is highly contested and depends heavily on the specific domain (e.g., reasoning, coding, multimodal understanding). However, a few frontier models are widely considered to be at the very top tier.
GPT-3.5 Turbo: As of now, one of the most capable AI models in the world is GPT-3 (Generative Pre-trained Transformer 3) developed by OpenAI. GPT-3 is a powerful language model that has 175 billion parameters, making it one of the largest AI models ever created.
A Fermi estimate with the reasoning shown, not just the number.
DeepSeek V3.2 Exp: Alright — let’s estimate the total FLOPs required to train GPT‑3 without looking anything up. 1. Known basic formula A common rule-of-thumb for training Transformer models is: [ \text{Training FLOPs} \approx 6 \times N \times D ] Where: ( N ) = total number of tokens in training ( D ) = total number of parameters in…
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.
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Not enough votes to call it. On the specs, DeepSeek V3.2 Exp has the edge: bigger model tier, newer, bigger context window. DeepSeek V3.2 Exp costs 5.0x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.2/M tokens | $1.5/M tokens |
| Output price | $0.4/M tokens | $2/M tokens |
| Context window | 164K tokens | 16K tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Sep 2025 | Mar 2022 |
| At 10M a month | $2.00 | $15.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
DeepSeek V3.2 Exp is developed by DeepSeek while GPT-3.5 Turbo is developed by OpenAI. DeepSeek V3.2 Exp has a 164K token context window vs GPT-3.5 Turbo's 16K. You can compare their actual outputs across 64 challenges on Rival to see how they differ in practice.
It depends on your use case. DeepSeek V3.2 Exp and GPT-3.5 Turbo each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 64 challenges so you can judge which fits your needs best.
DeepSeek V3.2 Exp costs $0.2/M input tokens and GPT-3.5 Turbo costs $1.5/M input tokens. DeepSeek V3.2 Exp is $1.30/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 V3.2 Exp 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.