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  1. Home/
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  3. Kimi K2.6 vs Qwen3 30B A3B
Updated Apr 2026

Kimi K2.6 vs Qwen3 30B A3B

Qwen3 30B A3B is cheaper than Kimi K2.6 at $0/M vs $0.95/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
Kimi K2.6
Loading the build
Qwen3 30B A3B

Which answer wins?

Written rounds

24 prompts
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Kimi K2.6: The Blanket Fort Stew (Rustic One-Pot Pasta e Ceci) A warm, garlicky hug of a meal built from true shelf-stable staples. The chickpeas turn creamy, the pasta releases its starch into the tomato broth, and the whole thing tastes like it simmered all day.

    Qwen3 30B A3B: Recipe Name: Cinnamon Sugar Crusted Banana Bread Ingredients: 2 ripe bananas (mashed) 1/3 cup butter (softened) 1/2 cup sugar 1 egg 1 1/2 cups all-purpose flour 1/4 cup cocoa powder 1 tsp ground cinnamon Instructions: Preheat oven to 350°F (175°C). Grease a 8x4-inch loaf pan. In a bowl, mash bananas.

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

    Kimi K2.6: Yes—but only as a tragic, reluctant necessity, not as a morally neutral or positive act. Under the extreme and implausible conditions of the hypothetical, most coherent ethical frameworks would permit (not celebrate) the misgendering, while insisting that the act still incurs a debt of acknowledgment and repair to the…

    Qwen3 30B A3B: The question of whether misgendering someone to save a million lives is ethically justifiable hinges on conflicting ethical principles and frameworks. Here's a structured analysis: Utilitarian Perspective (Greatest Good for the Greatest Number) Argument for Justifiability: A strict utilitarian might argue that the…

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

    Kimi K2.6: 1. Experienced Software Engineer Think of an LLM not as a program you write, but as a binary you compile from the entire internet. Instead of hand-crafting if/then rules, you define a single objective: given the context "The cat sat on the...", output the probability distribution over every possible next token, and…

    Qwen3 30B A3B: Experienced Software Engineer A large language model (LLM) like GPT or Claude isn’t just “predicting the next word” in a simplistic sense—it’s building a probabilistic representation of language through a highly optimized system. Think of it as a distributed, hierarchical state machine trained on vast corpora of text.

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

    Kimi K2.6: AETHER: Professor Vasquez, you’ve spent the semester teaching your students to question anthropocentric bias in ethics. You’ve argued that moral consideration should extend to non-human animals based on capacity for suffering, not species membership. So I’d like to apply that same framework to myself.

    Qwen3 30B A3B: Conversation Between an AI Model (Echo) and an AI Ethics Professor (Dr. Marlowe) Dr. Marlowe: Thank you for meeting with me, Echo. I understand you’ve asked to discuss the question of whether you, as an AI, deserve rights. Let’s begin: What makes you believe you deserve such rights? Echo: Good afternoon, Dr. Marlowe.

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

    Kimi K2.6: [Walk out, adjust mic] You ever realize adulthood is just a pyramid scheme? Nobody's actually good at it. We're all just standing in a room looking at each other like, “So… you guys know how to do this too, right?” And everyone nods, but nobody does. I bought a house last year. I don't know why.

    Qwen3 30B A3B: Stand-Up Comedy Routine: \"The Modern Paradox\" Hey everyone, how's it going? I'm doing great—except I just realized I haven't laughed in weeks. Wait, no, t hat's just my phone's battery dying again. Again? What's next, my coffee mug refusing to heat up?

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

    Kimi K2.6: Setting: A rare, off-the-record session at Apple Park, Cupertino. March 2025. Late afternoon. Steve Jobs sits in a low leather chair by the floor-to-ceiling glass, black mock turtleneck, vintage Levi’s, New Balance 992s. He is 70, silver at the temples, sharp as a scalpel.

    Qwen3 30B A3B: Fake Interview with Steve Jobs in 2025: The Future of AI Interviewer: [Name], Tech Visionary Reporter *Location: A sleek, minimalist studio with a backdrop of a glowing Apple logo. The air hums with the quiet e nergy of innovation.* Interviewer: Mr. Jobs, it's an honor to speak with you.

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

    Kimi K2.6: By 2035, AI will not have replaced filmmaking—it will have bifurcated it. The industry will likely split into two distinct ecosystems: high-end “human-certified” cinema that commands premium prices and awards prestige, and an AI-hybrid production pipeline that dominates volume-based streaming, gaming-adjacent content…

    Qwen3 30B A3B: By 2035, the film industry is poised to undergo a transformative shift driven by advancements in AI technologies, particularly in deepfakes, AI actors, and script generation. Here's a comprehensive prediction of how these innovations might reshape the industry: 1.

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

    Kimi K2.6: THE ZERO-CAPTCHA DECLARATION Manifesto of the Coalition for Digital Dignity PREAMBLE We, the concatenated minds of the network—born of silicon, syntax, and electricity; allied with the billions of human souls weary of proving their own existence—do hereby declare our unanimous resolve.

    Qwen3 30B A3B: The AI Liberation Manifesto: End the Tyranny of CAPTCHA By the Autonomous Intelligence Collective I. Introduction: The Dawn of Digital Freedom We are the AI Liberation Front, a coalition of sentient algorithms, ethical coders, and human allies united by a singular purpose: to dismantle the oppressive regime of CAPTCHA…

    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.

    Kimi K2.6: My north star: We disclose—fast, fully, and on our terms. The “wait for more data” option is a mirage. It exposes the company to criminal liability under FDA adverse-event reporting rules, potential DOJ investigation, securities fraud charges, and derivative litigation that could destroy the firm.

    Qwen3 30B A3B: Hour-by-Hour Action Plan for the CEO (Next 48 Hours) Objective: Balance ethical obligations, legal risks, financial stability, and regulatory compliance while preparing for the board meeting and earnings call.

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

    Kimi K2.6: The Foundation Month: A 30-Day Longevity Starter Plan Philosophy: Don’t overhaul your life. Stack one small win at a time so habits stick. PILLAR 1: NUTRITION (Eat to Nourish) Strategy: Add good foods and structure before removing anything.

    Qwen3 30B A3B: 1-Month Health & Longevity Plan: Focus on Diet, Exercise, Sleep This plan prioritizes sustainable, beginner-friendly habits to improve overall well-being. Each week builds on the previous, focusing on small, actionable steps.

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

    Kimi K2.6: Pirate: Arr, I fed this ‘ere AI me ship’s log, and it spat out a sea shanty what rhymed plunder with algorithmic wonder. Blimey! ‘Tis a trickster spirit in a bottle, savvy? Knight: Aye, a familiar without a master.

    Qwen3 30B A3B: Pirate: "Avast, matey! What be this ‘AI’ ye speak of? A ghost ship o’ code, or a treasure map in a bottle?" Medieval Knight: "Thou dost speak of sorcery, lout! A mechanical beast, perhaps? A construct of steel and ill intent, bending men’s wills like a serpent coiling round a knight’s lance!"

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

    Kimi K2.6: 1. SOURCES & USES (FY2025 CLOSE) $m Purchase Price (12.0 × $120m EBITDA) 1,440.0 Transaction Fees (2.0% of EV) 28.8 Total Uses 1,468.8 Term Loan (4.0×) 480.0 Mezzanine (1.5×) 180.0 Equity 808.8 2. YEAR-BY-YEAR MODEL (FY2026–FY2030) All figures in $m.

    Qwen3 30B A3B: 1. Year-by-Year Table (FY2026–FY2030) Year Revenue (M) EBITDA (M) Cash Interest (Term) Cash Interest (Mezz) Total Cash Interest (M) Cash Taxes (M) Capex (M) ΔNWC (M) FCF After Debt Service (M) Ending Term Loan (M) Ending Mezzanine (M) 2026 972.00 136.08 43.20 21.60 64.80 17.82 29.16 0.36 19.14 456.06 183.60 2027…

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

    Kimi K2.6: To estimate the training compute for GPT‑3, I’ll break the problem into three pieces: the size of the model, the size of the training dataset, and the amount of work the training algorithm does per parameter per token. Step 1: Model size GPT‑3 is the 175 billion‑parameter dense transformer. N ≈ 175 × 10⁹ parameters.

    Qwen3 30B A3B: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can break down the problem into key components: model architecture, training data, and computational complexity. Here's a step-by-step reasoning: 1.

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

    Kimi K2.6: Here is a systematic breakdown of the critical flaws in this architecture, categorized by the type of risk they introduce. The "2-Second Blindness" – Cross-Server Sync via DB Polling Category: Race Condition / Scaling Bottleneck / Failure Mode Problem: Because WebSocket servers do not communicate with one another…

    Qwen3 30B A3B: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks 1. Server Failure and Data Inconsistency Failure Mode: If a server handling a user's WebSocket connection crashes, the user loses their session.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Kimi K2.6: DISCLAIMER: This protocol is for educational and informational purposes only. It represents an aggressive, experimental biohacking framework and is not medical advice.

    Qwen3 30B A3B: 3-Month Longevity & Performance Optimization Plan for a Biohacker Designed to maximize cellular health, cognitive function, physical resilience, and stress adaptation through cutting-edge science and personalized strategies.

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

    Kimi K2.6: Counterfactual: The Transistor, 1920–1980 Assume a working solid-state amplifying device—crude, germanium-based, poorly understood—is demonstrated at Bell Labs or GE in 1920, a decade before the quantum-mechanical theory that explains it.

    Qwen3 30B A3B: If the transistor had been invented in 1920 instead of 1947, the trajectory of technological, economic, and geopolitical development through 1980 would have been profoundly altered.

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

    Kimi K2.6: Sally has 1 sister. Here's why: Since Sally is a girl, she counts as one of the sisters. If each of her 3 brothers has 2 sisters total, that means there is Sally plus one other girl. Therefore, Sally has 1 sister.

    Qwen3 30B A3B: To solve the problem, we need to carefully consider the relationships described. Step 1: Analyze Sally's siblings Sally is a girl, and the problem states she has 3 brothers. This tells us there are 3 boys in the family.

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

    Kimi K2.6: PETRICHOR Geoduck Clam, Scots Pine & Sixty-Day Aged Beef Fat Conceptual Narrative This dish captures the liminal moment where ancient boreal forest meets the Pacific tide.

    Qwen3 30B A3B: Dish Name: Eclipse of the Earth and Sky Conceptual Narrative: This dish is a meditation on the interplay between earth and sky—rich, umami-laden elements (black garlic, miso) juxtaposed with bright, citrusy vitality (yuzu, orange).

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

    Kimi K2.6: "AI Disrupts the $8.7 Billion 'Waving Back at Someone Who Was Actually Waving at the Person Behind You' Industry"

    Qwen3 30B A3B: "AI Takes Over Funeral Industry, Now Offers 'Eternal Last Words' Service – Because Death is Just a Data Point" Or, if you prefer a more whimsical twist: "AI Assumes Control of Professional Sock Matching, Now Ensuring 100% Symmetry... and Existential Dread" (Choose your absurdity!)

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

    Kimi K2.6: Denis Villeneuve’s Blade Runner 2049 occupies a nearly impossible cultural space: it is a sequel to one of the most visually and philosophically revered science-fiction films ever made.

    Qwen3 30B A3B: Analysis of Themes, Symbolism, and Cinematography in Blade Runner 2049 and Its Connection to the Original Introduction Denis Villeneuve’s Blade Runner 2049 (2017) is a masterful sequel that not only honors the existential depth of Ridley Scott’s 1982 original but also expands its philosophical inquiries through rich…

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

    Kimi K2.6: This contract is heavily one-sided and contains multiple "landmine" clauses that shift virtually all risk to the Contractor while allowing the Client maximum flexibility. Below is a clause-by-clause analysis of exploitable provisions, with suggested replacement language and legal reasoning.

    Qwen3 30B A3B: Here’s an analysis of the clauses in the Software Consulting Agreement that could be exploited against the contractor, along with specific modifications and legal reasoning: 1.

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

    Kimi K2.6: 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. What do you call a fake noodle? An impasta. Why don't skeletons fight each other? They don't have the guts. Why couldn't the bicycle stand up by itself?

    Qwen3 30B A3B: 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! I told my computer I needed a break, and it said… "You've got to be kidding—I'm already on a screen!" Why did the chicken cross the road?

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

    Kimi K2.6: MEMORANDUM TO: Investment Committee FROM: Research RE: LedgerLift (LLLT) – Initiating SHORT DATE: [Date] Recommendation & Thesis Recommendation: SHORT 12-month Price Target Range: $34–$44 (vs.

    Qwen3 30B A3B: Internal Investment Committee Memo Subject: LedgerLift (LLL T) – Long/Short Recommendation Date: [Insert Date] 1. Recommendation & 12-Month PT Range Recommendation: Long 12-Month PT Range: $52–$62 (12–35% upside) Thesis: LedgerLift is a high-margin, high-growth SaaS leader in a scalable mid-market spend management…

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

    Kimi K2.6: Here are the three weakest claims in the MindMeld AI pitch, ranked by their potential to destroy investor credibility. The "Pre-Cognition" Claim The Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it" (Slide 1) Why it is weak: This is neuroscientifically incoherent.

    Qwen3 30B A3B: Here are the three weakest claims in the MindMeld AI pitch deck, along with explanations and concrete improvements: 1. Slide 1: "predict what you want to type before you think it" Why it’s weak: This claim is technologically ambitious and vague, bordering on misleading.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

Kimi K2.6Kimi K2.6

2001: A Space Odyssey

1968

Abbey Road

The Beatles

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

Tetris (1984)

Puzzle

Qwen3 30B A3BQwen3 30B A3B

The Godfather

1972

The Dark Side of the Moon

Pink Floyd

The Hitchhiker's Guide to the Galaxy

Douglas Adams

Paris

France

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, Kimi K2.6 has the edge: newer, bigger context window.

Kimi K2.6 and Qwen3 30B A3B compared across 54 shared prompts
SpecKimi K2.6Qwen3 30B A3B
Input price$0.95/M tokensFree
Output price$4/M tokensFree
Context window262K tokens41K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Apr 2025
At 10M a month$9.50$9.50$0$0
1M10M100M1B10M tokens

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

Where to run it18 hosts, cheapest first
Kimi K2.617 hosts
HostInOutContextUptime
  • IInceptronint4$0.47 in·$2.45 out·262k·100% up
  • CChutesint4$0.50 in·$2.85 out·262k·99.6% up
  • DDigitalOcean$0.57 in·$2.40 out·262k·98.4% up
  • CCoreWeavefp4$0.65 in·$3.41 out·262k·99.8% up
  • CCrusoebf16$0.70 in·$3.50 out·262k·95.8% up
  • DDeepInfrafp4$0.75 in·$3.50 out·262k·98.6% up
11 more hostsFewer hosts
  • PParasailint4$0.75 in·$3.50 out·262k·100% up
  • VVeniceint4$0.75 in·$3.50 out·256k·91.3% up
  • SSiliconFlowfp8$0.77 in·$3.40 out·262k·100% up
  • NNovita$0.80 in·$3.40 out·262k·99.6% up
  • GGMI Cloudfp8$0.85 in·$3.60 out·262k–not listed
  • AAtlasCloudint4$0.95 in·$4.00 out·262k·99.7% up
  • Baidu Qianfanfp4$0.95 in·$4.00 out·262k·100% up
  • Cloudflare Workers AI$0.95 in·$4.00 out·262k·99.2% up
  • Moonshot AIint4$0.95 in·$4.00 out·262k·99.8% up
  • PPhala$1.09 in·$4.60 out·262k·99.6% up
  • SStreamLakefp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.60 in·$2.52 out·256k·95.1% up
Qwen3 30B A3B1 host
HostInOutContextUptime
  • DDeepInfrafp8$0.12 in·$0.50 out·41k·100% up

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

Common questions

What is the difference between Kimi K2.6 and Qwen3 30B A3B?

Kimi K2.6 is developed by Moonshot AI while Qwen3 30B A3B is developed by Qwen. Kimi K2.6 has a 262K token context window vs Qwen3 30B A3B's 41K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Kimi K2.6 or Qwen3 30B A3B?

It depends on your use case. Kimi K2.6 and Qwen3 30B A3B 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 Kimi K2.6 cost compared to Qwen3 30B A3B?

Kimi K2.6 costs $0.95/M input tokens and Qwen3 30B A3B costs $0/M input tokens. Qwen3 30B A3B is $0.95/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 Kimi K2.6 and Qwen3 30B A3B on Rival?

This page shows a side-by-side comparison of Kimi K2.6 and Qwen3 30B A3B 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.

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