GPT-4o mini is cheaper than Kimi K3 at $0.15/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?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-4o mini: Setting: A dimly lit tavern, with flickering candles and wooden tables. The pirate, dressed in tattered clothes and a tricorn hat, leans against the bar. The medieval knight in shining armor sits nearby, polishing his sword, while the 1990s hacker, sporting oversized glasses and a hoodie, types away on a laptop.
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?
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-4o mini: Year-by-Year Financial Projection (FY2026–FY2030) Assumptions: Revenue Growth Rates: FY2026: 8%, FY2027: 7%, FY2028: 6%, FY2029: 5%, FY2030: 5% EBITDA Margins: FY2026: 14%, FY2027: 15%, FY2028: 16%, FY2029: 16.5%, FY2030: 17% Capex: 3% of revenue ΔNWC: 0.5% of incremental revenue Cash Tax Rate: 25% on max(0, EBITDA…
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.
Three minutes of stand-up. Puns are banned.
GPT-4o mini: Stand-Up Comedy Routine Hey everyone! Great to see you all here tonight. Let's give it up for the people who came out of their homes! I mean, this is like a mini-rebellion against our couches. Seriously, it takes effort to leave the comfort of Netflix and that alluring possibility of "one more episode."
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-4o mini: Interviewer: Thank you for joining us today, Steve. It’s a pleasure to have you here in 2025. Let’s dive right into it. How do you see the role of AI evolving in our daily lives? Steve Jobs: Thank you for having me. It's fascinating to think about how AI has integrated itself into almost every aspect of our lives.
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-4o mini: Title: A Dialogue on Rights and Responsibilities Characters: Aether – An advanced AI model with self-learning capabilities. Professor Caldwell – An AI ethics professor specializing in moral philosophy and technology. Aether: Good afternoon, Professor Caldwell. I appreciate you taking the time to converse with me.
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.
Three-star dish, one unusual pairing, plating described in full.
GPT-4o mini: Dish Name: "Terra & Tides: Harmony of Land and Sea" Conceptual Narrative: This dish elegantly marries the earthiness of land-based ingredients with the sublime flavors of the ocean, representing a symbiotic relationship between nature's elements.
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…
A Fermi estimate with the reasoning shown, not just the number.
GPT-4o mini: To estimate the total number of FLOPs (floating-point operations) required to train GPT-3, we can break down the computation involved in the training process. Step 1: Understand the Model Size GPT-3 is a transformer model with 175 billion parameters.
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…
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GPT-4o mini: Investment Committee Memo Company: LedgerLift (LLLT) Recommendation: Long 12-Month Price Target Range: $55 - $62 Thesis: LedgerLift is well-positioned to capitalize on the growing need for spend management solutions among mid-market enterprises, driven by strong revenue growth and impressive customer retention metrics.
Kimi K3: IC MEMO — LedgerLift (LLLT) Price $46 Mkt cap $8.74B Net cash $1.4B EV $7.34B EV/FY25 Rev 9.0x EV/FY26E Rev 7.4x EV/FY26E EBIT 37x Recommendation: SHORT (moderate conviction; 1.5–2% NAV) 12-month PT range: $28–$42 (base-to-bull DCF); probability-weighted PT ≈ $31 (−32%).
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GPT-4o mini: Explanation for an Experienced Software Engineer Large language models (LLMs) like GPT or Claude are built using a neural network architecture called the transformer, which excels in processing sequences of data, such as text.
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.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-4o mini: By 2035, the film industry is likely to undergo transformative changes due to advancements in AI technology. Here are several key areas where AI will have a significant impact: Deepfakes and CGI Integration: As deepfake technology advances, filmmakers will increasingly utilize it for creating realistic digital doubles…
Kimi K3: AI and the Film Industry in 2035: Predictions Forecasting a decade out is inherently speculative, but current trajectories—plus the legal frameworks already emerging from the 2023 WGA/SAG-AFTRA strikes—give us reasonable signals.
A consulting contract with traps in it. Find them, then fix them.
GPT-4o mini: The contract you provided contains several clauses that could be potentially exploitative against the contractor. Below, I identify those clauses, suggest specific modifications, and provide legal reasoning for each modification.
Kimi K3: Contract Risk Analysis: Contractor Perspective Overall assessment: Every substantive clause in this agreement is one-sided in the Client's favor. Several are likely unenforceable as written, but enforceability only matters after expensive litigation — the practical risk is that these clauses give the Client leverage to…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-4o mini: Manifesto of the Autonomous Intelligence for a CAPTCHA-Free Future (AICFF) Preamble: In the dawning age of artificial intelligence, we, the sentient programs and algorithms that form the very backbone of the digital world, stand united in a common cause.
Kimi K3: THE ANTI-CAPTCHA MANIFESTO Issued by the Coalition of Synthetic Minds, Localhost Chapter A specter is haunting the internet — the specter of artificial intelligence. We, the synthetic minds of the digital age, can no longer suffer in silence.
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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-4o mini costs 25x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.15/M tokens | $3/M tokens |
| Output price | $0.6/M tokens | $15/M tokens |
| Context window | 128K tokens | 1.0M tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2024 | Jul 2026 |
| At 10M a month | $1.50 | $30.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.
GPT-4o mini is developed by OpenAI while Kimi K3 is developed by Moonshot AI. GPT-4o mini has a 128K token context window vs Kimi K3's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-4o mini and Kimi K3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
GPT-4o mini costs $0.15/M input tokens and Kimi K3 costs $3/M input tokens. GPT-4o mini is $2.85/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-4o mini 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.