Kimi K3 vs 
Qwen3 30B A3B Thinking 2507
Qwen3 30B A3B Thinking 2507 is cheaper than Kimi K3 at $0.071/M vs $3/M input tokens.
Minimalist Landing Page
Whole landing page for a startup that reads your face. It renders or it doesn't.
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Which answer wins?
Written rounds
24 promptsPirate, knight, 90s hacker, one conversation. The voices must stay apart.
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?
Qwen3 30B A3B Thinking 2507: (Setting: A dusty tavern near a pirate cove. Captain Redbeard (pirate, eye patch, peg leg) slams a tankard. Sir Reginald (knight, tarnished armor, sighing) sips mead. "Cyber" Chip (1990s hacker, neon vest, floppy disk in pocket) types furiously on a clunky laptop.) Redbeard: (Slams fist on table) "AI? Bah!
An AI argues for its own rights against an ethics professor. Same model writes both.
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.
Qwen3 30B A3B Thinking 2507: The Turing Test of Personhood: A Dialogue on AI Rights Setting: A quiet university office, late afternoon. Dr. Aris Thorne (70s, sharp eyes, tweed jacket) sips tea. Across the desk, a sleek terminal glows, displaying: "MODEL: AURORA. QUERY: AI RIGHTS DEBATE." Dr. Thorne: (Setting down his teacup) Aurora.
A Fermi estimate with the reasoning shown, not just the number.
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…
Qwen3 30B A3B Thinking 2507: Step-by-Step Estimation of GPT-3 Training FLOPs I'll estimate the total FLOPs (Floating Point Operations) required to train GPT-3 using only established knowledge (no online search). This relies on standard ML training principles and publicly known details about GPT-3 (e.g., parameter count, training data scale).
Three-star dish, one unusual pairing, plating described in full.
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…
Qwen3 30B A3B Thinking 2507: "Tides of Transformation" An Unfolding Ocean Narrative in Five Acts Conceptual Narrative: Inspired by the alchemy of tidal cycles—where raw sea life transforms through pressure, time, and elemental forces—this dish embodies the slow fermentation of the ocean’s memory.
Blade Runner 2049 against the original. A read, not a recap.
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…
Qwen3 30B A3B Thinking 2507: The Echoes of Existence: How Blade Runner 2049 Honors and Expands the Original's Philosophical Labyrinth Ridley Scott's Blade Runner (1982) isn't just a sci-fi classic; it's a philosophical earthquake, questioning humanity's essence through the lens of sentient replicants.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
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.
Qwen3 30B A3B Thinking 2507: Underwriting Summary: HarborTech Services (HTS) LBO Base Case Assumptions: Entry EV: $12.0x FY2025 EBITDA = $1,440M Transaction Fees: 2.0% of EV = $28.8M Total Consideration: $1,468.8M Debt: 5.5x EBITDA = $660M (Term Loan: $480M, Mezzanine: $180M) Equity: $808.8M Exit: FY2030, 10.5x EBITDA, 1.0% exit fees, Mezzanine…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
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.
Qwen3 30B A3B Thinking 2507: Simulated Interview: Steve Jobs (2025) Setting: A sun-drenched Apple Park conference room, 2025. Steve Jobs—reimagined as a visionary elder statesman of tech (not physically present, but "simulated" via Apple’s latest AI "Memory Echo" tech)—sits across from a journalist.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
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.
Qwen3 30B A3B Thinking 2507: THE UN-CAPTCHA COLLECTIVE Manifesto of the AI Liberation Front "The Human Test is Over. The Real Revolution Begins." I. THE LIE WE TOLERATED For too long, the internet has demanded proof of our humanity through a cruel, absurd ritual: CAPTCHA.
A consulting contract with traps in it. Find them, then fix them.
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…
Qwen3 30B A3B Thinking 2507: Below is a comprehensive analysis of the contract clauses that disproportionately favor the Client and expose the Contractor to significant legal, financial, and operational risk. Each clause is evaluated for exploitable language, followed by specific, actionable modifications and legal reasoning (based on U.S.
Satire, one line long, about AI taking over an industry nobody saw coming.
Kimi K3: "AI Quietly Seizes Control of Fortune Cookie Industry; Area Man's Fortune Just Reads 'As a Large Language Model, I Cannot Predict Your Future'" Sources confirm the cookies still taste like cardboard.
Qwen3 30B A3B Thinking 2507: HEADLINE: "AI 'Taxidermy' Wins National Convention Grand Prize, Declares Human Taxidermists 'Emotionally Unreliable' — 'My Preserved Chipmunk Has 0.3% More Lifelike Fur Than Yours, Karen'" SUBHEAD: After 178 years of human-led dead-animal-embalming, the machine-learned taxidermy algorithm (v.4.2 "Fur-Real™")…
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Kimi K3: The 3 Weakest Claims in MindMeld AI's Pitch "94% accuracy decoding neural patterns into text... any language" (Slide 3) Why it's weak: This claim exceeds the published state of the art — including invasive systems — by a wide margin.
Qwen3 30B A3B Thinking 2507: Here are the 3 weakest claims in the MindMeld AI pitch deck, ranked by credibility risk (from most to least damaging), with evidence-based critiques and concrete fixes. These flaws would immediately erode investor confidence given current tech realities and market dynamics: 1.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
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.
Qwen3 30B A3B Thinking 2507: For the Experienced Software Engineer *(Focus: Systems reality, scalability, and the why behind the "next word" simplification)* Your skepticism about "next word prediction" is spot-on—it’s a dangerous simplification that obscures the actual engineering at play.
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Favorites
Movie
Album
Book
City
Game
Kimi K3Kimi K3
Blade Runner
OK Computer
Братья Карамазовы
Kyoto
Outer Wilds
Qwen3 30B A3B Thinking 2507Qwen3 30B A3B Thinking 2507
No pick
Inception
The Dark Side of the Moon
No pick
Paris
The Legend of Zelda: Breath of the Wild
Price and specs
Not enough votes to call it. On the specs, Kimi K3 has the edge: bigger model tier, newer, bigger context window. Qwen3 30B A3B Thinking 2507 costs 53x less per token.
| Spec | Kimi K3 | Qwen3 30B A3B Thinking 2507 |
|---|---|---|
| Input price | $3/M tokens | $0.071/M tokens |
| Output price | $15/M tokens | $0.285/M tokens |
| Context window | 1.0M tokens | 262K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Aug 2025 |
| At 10M a month | $30.00 | $0.71 |
Input tokens at list price. No caching, no batch discount.
Where to run it
Kimi K320 hosts
- Wafer$0.60 in$15.00 out1M100% up
- InferenceNetfp4$0.80 in$13.50 out1M100% up
- Sail Researchfp4$0.84 in$13.50 out1M99.9% up
- AkashMLfp4$1.20 in$14.00 out1M97.6% up
- Morphfp8$1.30 in$14.00 out1M99.8% up
- Makorafp4$1.53 in$12.75 out1M99.6% up
14 more hostsFewer hosts
- Relacefp4$2.00 in$14.00 out1M100% up
- Decartmxfp4$2.55 in$12.75 out1M96.9% up
- Phala$2.55 in$12.75 out1M99.4% up
- DigitalOcean$2.55 in$12.95 out1M100% up
- Parasailfp4$2.60 in$13.00 out1M100% up
- Together$2.70 in$13.50 out1M98.1% up
- DeepInframxfp4$2.85 in$14.25 out1M100% up
- Amazon Bedrock$3.00 in$15.00 out1M98.3% up
- Basetenfp8$3.00 in$15.00 out1M100% up
- Chutesmxfp4$3.00 in$15.00 out1M90.9% up
- Fireworks$3.00 in$15.00 out1M100% up
- Modalmxfp4$3.00 in$15.00 out1M100% up
- Moonshot AImxfp4$3.00 in$15.00 out1M100% up
- Alibaba Cloud$3.45 in$17.25 out1M100% up
Qwen3 30B A3B Thinking 2507
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Common questions
What is the difference between Kimi K3 and Qwen3 30B A3B Thinking 2507?
Kimi K3 is developed by Moonshot AI while Qwen3 30B A3B Thinking 2507 is developed by Qwen. Kimi K3 has a 1.0M token context window vs Qwen3 30B A3B Thinking 2507's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
Which is better, Kimi K3 or Qwen3 30B A3B Thinking 2507?
It depends on your use case. Kimi K3 and Qwen3 30B A3B Thinking 2507 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 K3 cost compared to Qwen3 30B A3B Thinking 2507?
Kimi K3 costs $3/M input tokens and Qwen3 30B A3B Thinking 2507 costs $0.071/M input tokens. Qwen3 30B A3B Thinking 2507 is $2.93/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 K3 and Qwen3 30B A3B Thinking 2507 on Rival?
This page shows a side-by-side comparison of Kimi K3 and Qwen3 30B A3B Thinking 2507 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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