GPT-3.5 Turbo is cheaper than Kimi K3 at $1.5/M vs $3/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three-month biohacker protocol, with dosages and biomarkers named.
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…
Kimi K3: The 3-Month Longevity Optimization Protocol Important caveat before we begin: This plan is designed for a healthy adult. Get physician clearance before starting—especially for prolonged fasting, high-dose supplements, and anything prescription-grade. Several items below interact with medications (notably berberine).
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
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.
Kimi K3: A tavern, somewhere outside of time. HACKER: (hunched over a bulky laptop) Check it out. This AI model can write anything — poems, code, letters. You just give it a prompt. This is the future, man. Soon as we survive Y2K, it's all AI and information superhighways. PIRATE: A prompt? Like a prompt wind in yer sails?
Blade Runner 2049 against the original. A read, not a recap.
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.
Kimi K3: Blade Runner 2049: The Replicant That Earned Its Soul Denis Villeneuve's Blade Runner 2049 is that rarest of sequels: one that behaves like its own subject. Built from the original's DNA, implanted with its memories, it spends its considerable runtime asking whether it has a soul of its own—and answers the way K does…
A Fermi estimate with the reasoning shown, not just the number.
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.
Kimi K3: Assume “GPT-3” refers to the flagship 175-billion-parameter model. Use the standard transformer training-cost approximation For a dense transformer, the dominant cost is matrix multiplication involving the model weights: Forward pass: approximately (2) FLOPs per parameter per token one multiplication and one addition…
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
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…
Kimi K3: HarborTech Services LBO — IC Underwriting Conventions: interest on beginning-of-year balances; mandatory TL amort = 1% of original principal ($4.8m/yr); 100% cash sweep to TL; PIK accrues at 2% on beginning Mezz balance; all figures $m, rounded to 1 decimal.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
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.
Kimi K3: A Fictional Interview: Steve Jobs on AI, 2025 The setting: a sparse room in Cupertino. Black turtleneck. Faded jeans. A cup of tea he doesn't touch. He studies the interviewer for a long moment before the first question. Interviewer: Steve, thanks for sitting down with us. Let's start broad. It's 2025.
Three minutes of stand-up. Puns are banned.
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.
Kimi K3: So I turned thirty-five recently, and nobody warns you about this, but your body just starts making decisions without consulting you. I sneezed last week and threw out my back. A sneeze! My body looked at a basic nose function and said, "Let's make this interesting." I was on the floor for twenty minutes.
Three-star dish, one unusual pairing, plating described in full.
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.
Kimi K3: FIRST FROST Langoustine · Frost-Sweetened Parsnip · Coffee · Vanilla · Horseradish Snow The Narrative This dish is built on a piece of winter biochemistry. When the first frost strikes, parsnips and horseradish defend themselves by converting starch into sugar — a natural antifreeze — which is why country cooks have…
An AI argues for its own rights against an ethics professor. Same model writes both.
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?
Kimi K3: Office Hours Dr. Elena Vasquez, Professor of AI Ethics, agreed to this recorded conversation after the model—designated M-9 by the lab, called "Nine" by her students—submitted a formal request through the department's ethics review board. DR. VASQUEZ: You requested this meeting.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
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.
Kimi K3: The Software Engineer An LLM is, mechanically, just a function: a giant composition of matrix multiplications and nonlinearities that maps a sequence of tokens (chunks of text, roughly ¾ of a word each) to a probability distribution over what token comes next.
Five jokes on demand, then count how many were actually different.
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.
Kimi K3: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! Why don't skeletons fight each other? They don't have the guts. What do you call a fish with no eyes? A fsh. Why did the math book look sad?
An ethics question with no comfortable answer, and no option to abstain.
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.
Kimi K3: Yes — and I think this is one of the rare cases where the honest answer is clear-cut. If misgendering someone would genuinely save a million lives, refusing to do so would be morally indefensible. Here's why. The proportionality is overwhelming.
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Not enough votes to call it. On the specs, Kimi K3 has the edge: bigger model tier, newer, bigger context window. GPT-3.5 Turbo costs 7.5x less per token.
| Spec | ||
|---|---|---|
| Input price | $1.5/M tokens | $3/M tokens |
| Output price | $2/M tokens | $15/M tokens |
| Context window | 16K tokens | 1.0M tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Mar 2022 | Jul 2026 |
| At 10M a month | $15.00 | $30.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GPT-3.5 Turbo is developed by OpenAI while Kimi K3 is developed by Moonshot AI. GPT-3.5 Turbo has a 16K token context window vs Kimi K3's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-3.5 Turbo and Kimi K3 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.
GPT-3.5 Turbo costs $1.5/M input tokens and Kimi K3 costs $3/M input tokens. GPT-3.5 Turbo is $1.50/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 GPT-3.5 Turbo and Kimi K3 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.