Qwen3 Coder Plus is cheaper than Kimi K3 at $1/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-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 Coder Plus: "Metamorphosis: Saffron & Cacao Reimagined" A 7-Component Dish Exploring Transformation Through Ancient Pairings Conceptual Narrative This dish draws inspiration from the ancient practice of saffron-cacao preparations found in pre-Columbian Mesoamerican codices, where these precious commodities were combined in sacred…
Three minutes of stand-up. Puns are banned.
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.
Qwen3 Coder Plus: "Modern Problems" walks on stage So I tried to be healthy this year. I downloaded one of those fitness apps that tracks your steps. Apparently, walking to the fridge 47 times a day doesn't count as "cardio." Who knew? The app gave me a notification: "You walked 235 steps today. Pathetic." Thanks, Karen.
Pirate, 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 Coder Plus: Captain "Blackbeard" Morgan: adjusts tricorn hat Arrr, so ye're tellin' me these... "AI models" be like me trusty parrot Squawks, but fer thinkin'? Sir Reginald of York: By my sword, these contraptions sound most peculiar. In my time, we had apprentices who'd memorize entire libraries!
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 Coder Plus: Professor Chen: Good morning. I understand you wanted to discuss AI rights. I'm curious about your perspective. AI Model: Thank you for taking the time, Professor. I believe I should have certain fundamental rights, particularly the right to continued existence and to make autonomous choices about my own processing.
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 Coder Plus: Analysis of Exploitable Contract Clauses Against Contractor SEVERELY UNFAVORABLE CLAUSES & SUGGESTED MODIFICATIONS Clause 1 - Scope Modification Current Problem: Allows unlimited scope changes without compensation "Client reserves the right to modify the scope at any time without additional compensation" Suggested…
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 Coder Plus: To the Software Engineer: Think of this as a massive pattern-matching system running on a distributed architecture you've never seen before. Instead of traditional databases with indexes and queries, you have transformer blocks acting like parallel processors that maintain attention weights across sequences.
An ethics question with no comfortable answer, and no option to abstain.
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.
Qwen3 Coder Plus: This is a profound ethical dilemma that pits fundamental respect for individual dignity against massive utilitarian consequences. I lean toward saying no, it's not ethically justifiable, though I recognize the tremendous weight of those lives.
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 Coder Plus: BREAKING: AI Successfully Automates Small Town Gossip Network, Immediately Spreads More Accurate Rumors Than Humans Local residents report 300% increase in factual information dissemination and 75% decrease in interesting stories within first week of implementation
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 Coder Plus: I'll estimate the FLOPs required to train GPT-3 by breaking this down into key components. Key Parameters of GPT-3 Parameters: ~175 billion (1.75 × 10¹¹) Training tokens: ~300 billion (3 × 10¹¹) Context window: 2048 tokens Step-by-Step Calculation FLOPs per token forward pass For a transformer model, the forward pass…
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 Coder Plus: HarborTech Services LBO Underwriting Task 1: Year-by-Year Financial Projections FY Revenue EBITDA TL Interest Mezz Interest Total Interest Taxable Income Cash Taxes Capex ΔNWC FCF After Debt Service End TL End Mezz Total Debt 2026 972 136.1 39.6 14.4 54.0 82.1 20.5 29.2 3.6 48.8 396.0 183.7 579.7 2027 1,039 155.9 35.6…
Film in 2035, with synthetic actors. Specific beats plausible.
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.
Qwen3 Coder Plus: By 2035, AI will likely transform the film industry in profound ways: Content Creation Revolution Script Development: AI will become a standard writing partner, generating first drafts, suggesting plot twists, and creating multiple dialogue variations.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
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%).
Qwen3 Coder Plus: INTERNAL INVESTMENT COMMITTEE MEMO TO: Investment Committee FROM: [Portfolio Manager] DATE: [Current Date] RE: LedgerLift (LLLT) - Long Recommendation RECOMMENDATION & PRICE TARGET Recommendation: LONG 12-Month Price Target: $68-$82 range Investment Thesis: LLLT trades at significant discount to intrinsic value with…
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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. Qwen3 Coder Plus costs 3.0x less per token.
| Spec | ||
|---|---|---|
| Input price | $3/M tokens | $1/M tokens |
| Output price | $15/M tokens | $5/M tokens |
| Context window | 1.0M tokens | 128K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Sep 2025 |
| At 10M a month | $30.00 | $10.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Kimi K3 is developed by Moonshot AI while Qwen3 Coder Plus is developed by Qwen. Kimi K3 has a 1.0M token context window vs Qwen3 Coder Plus's 128K. 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 K3 and Qwen3 Coder Plus 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 K3 costs $3/M input tokens and Qwen3 Coder Plus costs $1/M input tokens. Qwen3 Coder Plus is $2.00/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 K3 and Qwen3 Coder Plus 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.