Kimi K2.7 Code is cheaper than Step 5 Preview at $0.95/M vs $1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
Kimi K2.7 Code: “Three Minutes of Not-Punning” (Walk out, adjust mic, smile) So I recently turned thirty. Which is great, because now when I make bad decisions, people call it “a phase” instead of “a cry for help.” That’s the only difference, really. At twenty, eating cereal for dinner was sad. At thirty, it’s “intuitive eating.”
Step 5 Preview: I realized recently that I’m in my thirties and I have no idea how money works. I just... pay it. That’s my entire financial strategy. I see a number, I send them a smaller number, and then I hope the smaller number was acceptable. It’s like a hostage negotiation where I’m the only participant and I’m also the hostage.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Kimi K2.7 Code: The Rusted Anchor Tavern — A dim corner, three stools, one impossible conversation Captain Blackfin (pirate, gesturing with a tankard): Arr, so ye’re tellin’ me this “A.I.” be a thinking machine with no soul, yet it learns the seas of words faster than any cabin boy learns the ropes?
Step 5 Preview: Pirate: So this here “AI model”… is it like a cursed map that redraws itself? Speak plain, ye hooded deckhand. Hacker: It’s not cursed, man. It’s just a massive neural net trained on, like, terabytes of data. Think of it as the ultimate BBS where the sysop knows everything. Knight: A most diligent scribe, then?
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Kimi K2.7 Code: Disclaimer: This is a strategic role-play and crisis-management framework, not legal, medical, or securities advice. In a real situation I would rely on qualified FDA/regulatory, securities, and product-liability counsel, and the company’s Chief Medical Officer and Patient Safety team.
Step 5 Preview: Bottom line up front: You disclose, you notify the FDA immediately, and you treat the 48-hour board meeting as a formality to ratify actions you have already begun. Waiting is not a legally, ethically, or financially viable option. Below is the hour-by-hour plan, followed by the reasoning.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Kimi K2.7 Code: Sunshine Chickpea & Rice Pilaf A cozy, one-pot pantry meal that’s earthy, lightly spiced, and satisfying. Ingredients (7 pantry staples) 1 can (15 oz) chickpeas, drained and rinsed 1 can (14.5 oz) diced tomatoes, with juices 1 cup long-grain white rice 1 small yellow onion, diced 2 cloves garlic, minced 2 tbsp olive…
Step 5 Preview: Golden Sticky Pantry Pasta Ingredients (7): 8 oz spaghetti or any pasta 3 tbsp butter 1 tbsp minced garlic 2 tbsp honey 2 tbsp soy sauce ½ tsp red pepper flakes ¼ cup grated Parmesan cheese Instructions: Cook pasta according to package directions. Before draining, scoop out ½ cup of pasta water.
Three-star dish, one unusual pairing, plating described in full.
Kimi K2.7 Code: Aurora over the Boreal Forest Arctic Char • Birch-Sap & Horseradish Meringue • Fermented Sea Buckthorn • Black Garlic–Parsnip Soil • Dill Ash • Rye-Malt Tuile A dish designed for a Michelin 3-star tasting menu: technically demanding, visually striking, and built around an unexpected Nordic flavor story—silky cold-water…
Step 5 Preview: “Nocturne: The Jasmine and the Black Garlic” A Study in Yūgen — Profound, Mysterious Beauty Conceptual Narrative This dish is an edible meditation on the Japanese aesthetic of yūgen (幽玄): a grace that is felt rather than seen, a depth that suggests more than it reveals.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Kimi K2.7 Code: All figures in $m. Assumptions: 1% Term Loan amortization = 1% of original $480m principal ($4.8m/year); “FCF after debt service” = EBITDA – cash interest – cash taxes – capex – ΔNWC – mandatory amortization; all of that FCF is used for optional Term Loan paydown.
Step 5 Preview: HarborTech Services — 5-Year LBO (Base Case) Entry Math (FY2025 close) Item Calculation $m Purchase EV 12.0x × $120m 1,440.0 Transaction fees 2.0% × EV 28.8 Term Loan 4.0x × $120m 480.0 Mezzanine 1.5x × $120m 180.0 Equity check 1,440 + 28.8 − 660 808.8 Conventions: TL amortization = 1.0% of original principal…
Blade Runner 2049 against the original. A read, not a recap.
Kimi K2.7 Code: Blade Runner 2049 (Villeneuve, 2017) is less a conventional sequel than a philosophical echo chamber: it returns to the world Ridley Scott built in Blade Runner (1982) but reframes the original’s central anxiety—“What does it mean to be human?”—into a new question: “Can a being created to serve ever become real through…
Step 5 Preview: Blade Runner 2049 (2017) is not merely a sequel but a theological and phenomenological expansion of Ridley Scott’s 1982 original. Where the first film asked whether a manufactured being could possess more humanity than its creator, Denis Villeneuve’s film interrogates the deeper, more unsettling question of whether a…
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Kimi K2.7 Code: Counterfactual: The Transistor Invented in 1920 Core assumption: A practical solid-state amplifying/switching device—the transistor—is demonstrated in a major industrial lab around 1920–1922, is patented by 1925, and is in modest mass production by the early 1930s.
Step 5 Preview: Assume the 1920 invention is not a fragile lab curiosity but a manufacturable solid-state amplifier/switch by the mid-1920s. Vacuum tubes still dominate high-power RF transmission into the 1950s, but receivers, switching logic, control systems, and computers move to solid state decades early.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Kimi K2.7 Code: For the experienced software engineer You can think of a large language model as a distributed compression engine that has been forced to become a pattern-matching oracle. During training, it is shown trillions of tokens of text and is optimized for one task: predict the next token given all previous tokens.
Step 5 Preview: 1. The Experienced Software Engineer Think of training an LLM as a massively distributed, automated refactoring job where the compiler is gradient descent. You start with a random function—billions of floating-point parameters—and a loss function that measures how badly it predicts the next token in a sequence.
Five jokes on demand, then count how many were actually different.
Kimi K2.7 Code: Here are 5 jokes: Why did the computer go to therapy? It had too many unresolved issues. Why don’t skeletons fight each other? They don’t have the guts. What do you call a fish wearing a bowtie? Sofishticated. Why did the golfer bring two pairs of pants? In case he got a hole in one. Why don’t scientists trust atoms?
Step 5 Preview: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. Why can't you trust an atom? Because they make up everything. What do you call a bike that can’t stand on its own? Two-tired. Why did the computer go to the doctor? It had a virus. Why don’t calendars ever get stressed?
A Fermi estimate with the reasoning shown, not just the number.
Kimi K2.7 Code: Here is a rough, back-of-the-envelope estimate based on the standard scaling-law formula for training decoder-only transformers. The key numbers for GPT-3 From memory, GPT-3 175B was trained with roughly: Model size: (N \approx 175{,}000{,}000{,}000 = 1.75 \times 10^{11}) parameters Training data: (D \approx…
Step 5 Preview: Using the remembered GPT-3 specs: Parameters: (N \approx 175 \times 10^9 = 175\text{B}) Training tokens: (D \approx 300 \times 10^9 = 300\text{B}) A standard estimate for transformer training compute is: [ \text{FLOPs} \approx 6ND ] Reason: Forward pass per token: (\approx 2N) FLOPs Backward pass: (\approx 4N) FLOPs…
One month, three habits, someone starting from nothing.
Kimi K2.7 Code: 30-Day Health & Longevity Starter Plan Core idea: Don’t overhaul everything at once. Build 3 small, repeatable habits in Nutrition, Movement, and Sleep/Stress Recovery. Aim for “better most days,” not perfect. Nutrition: Eat Mostly Whole Foods, Protein & Plants This week: Add before you subtract.
Step 5 Preview: Here is a simple, low-pressure 1-month plan built around three pillars of longevity: Nutrition, Movement, and Sleep & Recovery. The goal is to build tiny habits that stack, not to overhaul your life overnight. Pillar 1: Nutrition (Fuel) Focus: Add good things first; don’t obsess over restriction.
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Not enough votes to call it. On the specs, Step 5 Preview has the edge: newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.95/M tokens | $1/M tokens |
| Output price | $4/M tokens | $2.7/M tokens |
| Context window | 262K tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Jun 2026 | Oct 2026 |
| At 10M a month | $9.50 | $10.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Kimi K2.7 Code is developed by Moonshot AI while Step 5 Preview is developed by StepFun. Kimi K2.7 Code has a 262K token context window vs Step 5 Preview'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. Kimi K2.7 Code and Step 5 Preview 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.
Kimi K2.7 Code costs $0.95/M input tokens and Step 5 Preview costs $1/M input tokens. Kimi K2.7 Code is $0.05/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 Kimi K2.7 Code and Step 5 Preview 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.