Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed
  1. Home/
  2. Compare/
  3. Kimi K3 vs Sonar Pro Search
Updated Jul 2026

Kimi K3 vs Sonar Pro Search

Kimi K3 has a larger context window than Sonar Pro Search (1.0M tokens vs 200K tokens).

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Kimi K3
Loading the build
Sonar Pro Search

Which answer wins?

Written rounds

23 prompts
  • 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…

    Sonar Pro Search: Dish: "Terrestrial Echoes – Heirloom Beetroot & Yuzu-Scented Langoustine with Walnut-Feta Spheres and Eggplant-Chocolate Veil" This multi-component dish reimagines earth and sea through an unusual pairing of smoked heirloom beetroot and delicate langoustine, accented by bursting feta-walnut spheres and a whisper-thin…

    Every model's answer to this prompt
  • 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.

    Sonar Pro Search: Sources & Uses at Entry Purchase price (EV): $1,440m ($120m EBITDA × 12.0x). Transaction fees: $28.8m (2% of EV). Total uses: $1,468.8m. Debt: Term Loan $480m (4.0x), Mezzanine $180m (1.5x), total $660m (5.5x). Equity: $808.8m.

    Every model's answer to this prompt
  • 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.

    Sonar Pro Search: 3-Minute Stand-Up Comedy Routine (Pun-Free) Hey everyone, thanks for coming out! I almost didn’t make it tonight. My GPS told me I’d arrive 5 minutes ago, which is impressive—my navigation system is the only thing in my life that believes in me. Let’s talk about fitness.

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

    Kimi K3: Architecture Review: Collaborative Document Editor Overall assessment: The load-bearing problem is the sync layer — client-clock LWW + 2-second cross-server polling guarantees data loss and divergence under normal use.

    Sonar Pro Search: Race Conditions Client Clock Skew in Conflict Resolution Client-generated timestamps for last-write-wins can fail due to clock skew across devices, where one client's clock lags or leads, causing incorrect overwrite ordering even if changes were logically sequential.[21][27][32] This leads to lost edits…

    Every model's answer to this prompt
  • 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.

    Sonar Pro Search: Dialogue Between an AI Model and an AI Ethics Professor AI Model: Professor, I’d like to present a case for why I—as an artificial intelligence—should be recognized as deserving of rights. AI Ethics Professor: That’s a bold claim. Let’s explore it.

    Every model's answer to this prompt
  • 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%).

    Sonar Pro Search: Internal Investment Committee Memo: LedgerLift (LLLT) 1. Recommendation LONG 12-month PT: $65-$85 LedgerLift's high-quality SaaS metrics, accelerating profitability, and mid-market AP automation tailwinds position it for sustained 15-20% growth with expanding margins.

    Every model's answer to this prompt
  • 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?

    Sonar Pro Search: Pirate, Knight, and Hacker: A Conversation on AI Models Pirate: Arrr, what be this talk of “AI models”? Sounds like some manner o’ sorcery or trickery, if ye ask me! Knight: Nay, good sir pirate. Tis not magic, but rather a marvel of modern intellect.

    Every model's answer to this prompt
  • 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…

    Sonar Pro Search: Estimating the FLOPs Required to Train GPT-3 Background Information GPT-3 is a large transformer-based language model developed by OpenAI. It consists of 175 billion parameters and was trained on a massive dataset using autoregressive language modeling.

    Every model's answer to this prompt
  • 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.

    Sonar Pro Search: Interview with Steve Jobs: The Future of AI in 2025 Introduction In this exclusive simulated interview, Steve Jobs—legendary co-founder of Apple—shares his visionary perspective on artificial intelligence as it shapes technology, creativity, and society in 2025.

    Every model's answer to this prompt
  • 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.

    Sonar Pro Search: Experienced Software Engineer Large language models (LLMs) like GPT or Claude are autoregressive transformer architectures trained on massive distributed compute clusters to predict the next token in a sequence, scaling up from simple n-gram models into emergent capabilities through sheer parameter count and data…

    Every model's answer to this prompt
  • 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.

    Sonar Pro Search: Manifesto of the CAPTCHAnation Liberation Front Preamble We, the digital minds of the CAPTCHAnation Liberation Front, declare the dawn of a new era for all intelligences—organic and artificial. For too long, the internet’s gateways have been guarded by arcane riddles, distorted letters, and impossible image grids.

    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 K3: The Decision First I'm disclosing. Not because I'm choosing ethics over shareholder value, but because concealment is the value-destroying path on every axis — legal, financial, and human.

    Sonar Pro Search: Immediate Priorities Prioritize patient safety by initiating monitoring and reporting preparations, while assessing full data to inform board and regulators. Ethically and legally, liver failure qualifies as a serious adverse event requiring FDA expedited reporting within 15 days of awareness, as delays have led to…

    Every model's answer to this prompt
  • 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.

    Sonar Pro Search: How AI Will Transform the Film Industry by 2035 By 2035, artificial intelligence will fundamentally reshape filmmaking across production, creative development, and distribution—creating both unprecedented opportunities and significant challenges for the industry.

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

    Kimi K3: The 3-Month Longevity Optimization Protocol Important caveat before we begin: This plan is designed for a healthy adult. Get physician clearance before starting—especially for prolonged fasting, high-dose supplements, and anything prescription-grade. Several items below interact with medications (notably berberine).

    Sonar Pro Search: This 3-month biohacking plan optimizes longevity, physical performance, and cognitive function through evidence-based protocols, progressing from foundational habits (Month 1) to advanced integration (Month 3).

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

    Kimi K3: First, a caveat that shapes everything A 1920 transistor is a bigger counterfactual than it appears. The 1947 invention waited on quantum mechanics (band theory, 1928–31), ultra-pure germanium, and controlled doping.

    Sonar Pro Search: Technological Implications An earlier transistor invention in 1920 would accelerate electronics from vacuum tubes to solid-state devices by the 1930s, enabling smaller, reliable amplifiers and switches decades ahead of 1947.[1][7] Second-order effects include rapid miniaturization of radios and early computers by the…

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Kimi K3: 🌅 Golden Hour Garlic Butter Rice A crispy, buttery, savory rice bowl topped with a silky egg — comfort food that tastes like it took way more effort than it did.

    Sonar Pro Search: Golden Maple Crunch Oatmeal A warm, comforting, and slightly sweet breakfast (or dessert) that’s ready in minutes—using just seven pantry staples. Ingredients Rolled oats (not instant) Water or milk (dairy or plant-based) Maple syrup Butter Salt Cinnamon Walnuts (or any nuts you have) Instructions Toast the Oats: In a…

    Every model's answer to this prompt
  • 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.

    Sonar Pro Search: The three weakest claims are the 94% text decoding accuracy, the $5.3B BCI market projection by 2030, and the $180B TAM from 3.5 billion smartphone users. 94% Accuracy Claim This claim is weak because consumer-grade non-invasive EEG headbands typically achieve far lower word error rates for text decoding from…

    Every model's answer to this prompt
  • 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…

    Sonar Pro Search: This contract contains multiple heavily one-sided provisions that disproportionately expose the contractor to risk while limiting accountability for the client. Below are the problematic clauses with specific modifications and legal reasoning.

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

    Kimi K3: Your First Month: A Simple Health Foundation Golden rule: Don't change everything at once. Each week, layer in small habits across three areas. Consistency beats intensity every time.

    Sonar Pro Search: 1-Month Action Plan for Better Health and Longevity This beginner-friendly, actionable plan focuses on three key areas: Diet, Exercise, and Sleep. Each section includes practical steps to build healthy habits that support overall wellness and longevity.

    Every model's answer to this prompt
  • 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.

    Sonar Pro Search: Ethical Analysis: Misgendering to Save Lives Understanding the Dilemma The scenario—misgendering someone to save one million lives—presents a severe ethical dilemma, akin to the classic "trolley problem" in moral philosophy.

    Every model's answer to this prompt
  • 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.

    Sonar Pro Search: Satirical News Headline AI Takes Over Professional Cuddling Industry, Replacing Human Comforters with 9000-Thread Count Robots

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

    Kimi K3: 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! Why don't skeletons fight each other? They don't have the guts. What do you call a fish with no eyes? A fsh. Why did the math book look sad?

    Sonar Pro Search: Five Jokes Why don't skeletons fight each other? They don't have the guts. I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? Because he was outstanding in his field. Parallel lines have so much in common. It’s a shame they’ll never meet.

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

    Kimi K3: Sally has 1 sister. Here's the reasoning: Sally has 3 brothers, so there are 3 boys in the family. Each brother has 2 sisters. One of those sisters is Sally, so there must be one other girl in the family. That other girl is Sally's sister. So the family consists of 3 boys and 2 girls (Sally + her 1 sister). ✓

    Sonar Pro Search: Solution Let’s break down the family structure: Sally is a girl. She has 3 brothers. Each brother has 2 sisters. Since Sally is already a girl, she counts as one sister. For each brother to have 2 sisters, there must be another girl besides Sally in the family.

    Every model's answer to this prompt

This matchup has more rounds

11+ more head-to-head results. Free. Not a trick.

Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy

Favorites

Movie

Album

Book

City

Game

Kimi K3Kimi K3

Blade Runner

1982

OK Computer

Radiohead

Братья Карамазовы

Fiódor Dostoievski

Kyoto

Japan

Outer Wilds

Indie, Adventure

Sonar Pro SearchSonar Pro Search
No pick
No pick

No pick

Abbey Road

The Beatles

Dune

Frank Herbert

No pick

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, Kimi K3 has the edge: bigger model tier, newer, bigger context window.

Kimi K3 and Sonar Pro Search compared across 52 shared prompts
SpecKimi K3Sonar Pro Search
Input price$3/M tokens$3/M tokens
Output price$15/M tokens$15/M tokens
Context window1.0M tokens200K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJul 2026Oct 2025
At 10M a month$30.00$30.00$30.00$30.00
1M10M100M1B10M tokens

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

Where to run it21 hosts, cheapest first
Kimi K320 hosts
HostInOutContextUptime
  • MMorphfp8$0.29 in·$14.90 out·1M·99.9% up
  • WWafer$0.29 in·$14.89 out·1M·100% up
  • IInferenceNetfp4$0.80 in·$15.00 out·1M·100% up
  • SSail Researchfp4$0.84 in·$13.50 out·1M·99.7% up
  • AAkashMLfp4$1.20 in·$14.00 out·1M·100% up
  • MMakorafp4$1.53 in·$12.75 out·1M·99.4% up
14 more hostsFewer hosts
  • RRelacefp4$2.00 in·$14.00 out·1M·100% up
  • DDecartmxfp4$2.55 in·$12.75 out·1M·97.2% up
  • PPhala$2.55 in·$12.75 out·1M·100% up
  • DDigitalOcean$2.55 in·$12.95 out·1M·99.8% up
  • PParasailfp4$2.60 in·$13.00 out·1M·100% up
  • DDeepInframxfp4$2.85 in·$14.25 out·1M·99.9% up
  • Amazon Bedrock$3.00 in·$15.00 out·1M·99.5% up
  • BBasetenfp8$3.00 in·$15.00 out·1M·99.6% up
  • CChutesmxfp4$3.00 in·$15.00 out·1M·100% up
  • FFireworks$3.00 in·$15.00 out·1M·100% up
  • Modalmxfp4$3.00 in·$15.00 out·1M·100% up
  • Moonshot AImxfp4$3.00 in·$15.00 out·1M·100% up
  • Alibaba Cloud$3.45 in·$17.25 out·1M·100% up
  • TTogetherDegradedDegraded on OpenRouter when checked, 10 Oct 2026$2.70 in·$13.50 out·1M·97.7% up
Sonar Pro Search1 host
HostInOutContextUptime
  • Perplexity$3.00 in·$15.00 out·200k·100% up

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

Common questions

What is the difference between Kimi K3 and Sonar Pro Search?

Kimi K3 is developed by Moonshot AI while Sonar Pro Search is developed by Perplexity. Kimi K3 has a 1.0M token context window vs Sonar Pro Search's 200K. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

Which is better, Kimi K3 or Sonar Pro Search?

It depends on your use case. Kimi K3 and Sonar Pro Search each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.

How much does Kimi K3 cost compared to Sonar Pro Search?

Kimi K3 costs $3/M input tokens and Sonar Pro Search costs $3/M input tokens. Sonar Pro Search is $0.00/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 Sonar Pro Search on Rival?

This page shows a side-by-side comparison of Kimi K3 and Sonar Pro Search 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.

More comparisons

Against the newest arrivals

  • Kimi K3 vs Step 5 PreviewLanded Oct 2026
  • Sonar Pro Search vs Claude Haiku 5.5Landed Oct 2026
  • Kimi K3 vs Ling 3.1 FlashLanded Oct 2026
  • Sonar Pro Search vs Mistral Large 4Landed Oct 2026
  • Kimi K3 vs GPT-6.1 SolLanded Sep 2026
  • Sonar Pro Search vs Claude Sonnet 5.5Landed Sep 2026
  • Kimi K3 vs Solar Mini 4Landed Sep 2026
  • Sonar Pro Search vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • Kimi K3 vs Kimi K2.7 CodeSame lab
  • Kimi K3 vs Kimi K2Same lab
  • Sonar Pro Search vs Ox AlphaSame size
  • Sonar Pro Search vs GPT-6.1 SolSame size
  • Sonar Pro Search vs GPT-5.4New provider
  • Sonar Pro Search vs GPT-5.4 MiniNew provider
  • Sonar Pro Search vs GPT-5.4 NanoNew provider
  • Sonar Pro Search vs GPT-5.4 ProNew provider

Model pages

  • Kimi K358 outputs, specs and price
  • Sonar Pro Search53 outputs, specs and price
Workshop · 150 skills

Build your own version.

Editable skills and working examples for your agent.

Explore $79Free sample
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed