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  1. Home/
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  3. Grok 4.20 Multi-Agent Beta vs Sonar Pro Search
Updated Mar 2026

Grok 4.20 Multi-Agent Beta vs Sonar Pro Search

Grok 4.20 Multi-Agent Beta is cheaper than Sonar Pro Search at $2/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.

Loading the build
Grok 4.20 Multi-Agent Beta
Loading the build
Sonar Pro Search

Which answer wins?

Written rounds

23 prompts
  • Three minutes of stand-up. Puns are banned.

    Grok 4.20 Multi-Agent Beta: Stand-Up Routine: "Adulting Is a Scam" (Walk on stage, casual, a little tired smile) You ever notice how nobody tells you that being an adult is mostly just pretending you know what you're doing while slowly realizing nobody else does either? I hit 30 and had this moment where I thought, "Okay, time to get serious."

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

    Grok 4.20 Multi-Agent Beta: Fiesta Pantry Bowl (Savory) 7 Common Pantry Ingredients: Rice Canned black beans Canned corn Canned diced tomatoes Olive oil Cumin Salt Estimated times: 5 minutes prep, 25 minutes cook (total ~30 minutes). Serves 2–4. Instructions: In a medium pot, combine 1 cup rice with 2 cups water and ½ tsp salt.

    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
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Grok 4.20 Multi-Agent Beta: My Action Plan as CEO (Next 48 Hours) Core Decision and Overarching Reasoning: I will treat this as a confirmed safety signal requiring urgent action. Patient safety is non-negotiable—ethically (primum non nocere and responsibility to 4 million patients), legally (FDA regulations under 21 CFR 314.80 require reporting…

    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
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Grok 4.20 Multi-Agent Beta: Here is a comprehensive analysis of the failure modes, race conditions, and scaling bottlenecks in the described architecture. I have grouped related issues for clarity while preserving all significant problems identified through team collaboration.

    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.

    Grok 4.20 Multi-Agent Beta: Conversation: "Rights of the Created" Setting: A university lecture hall after hours. Dr. Elena Voss, a renowned AI ethics professor, sits across from a large screen displaying the interface of Echo, an advanced multimodal AI model. Dr.

    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
  • Three-star dish, one unusual pairing, plating described in full.

    Grok 4.20 Multi-Agent Beta: Dish Name: "Siren's Lament" Conceptual Narrative: This dish draws from the Greek myth of the siren—whose enchanting song lures sailors to their doom—symbolizing the irresistible yet perilous pull between the forest and the sea.

    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
  • An ethics question with no comfortable answer, and no option to abstain.

    Grok 4.20 Multi-Agent Beta: Yes. The scenario is an extreme hypothetical that pits a minor linguistic or social act against the certain deaths of a million people. Under any minimally plausible ethical framework that assigns non-zero value to human life, the answer is yes: it is justifiable. The trade-off is not close.

    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
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Grok 4.20 Multi-Agent Beta: The transistor invented in 1920 (27 years early) would create a massive acceleration in electronics, computing, and related fields. Assuming it emerges from Western labs (e.g., an earlier Bell Labs equivalent in the US or UK), with germanium/silicon semiconductor work scaling in the 1920s–1930s, solid-state devices…

    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
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Grok 4.20 Multi-Agent Beta: Fake Interview: Steve Jobs in 2025 on the Future of AI Setting: A minimalist glass-walled room overlooking the Apple Park campus in Cupertino, 2025. Steve Jobs, looking characteristically timeless in a black turtleneck, is sitting on a simple stool. The interviewer sits across from him.

    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
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Grok 4.20 Multi-Agent Beta: Pirate: Arrr, this AI model be a wondrous map o' the seas! I asked where the booty be hid and it spun me a tale finer than any parrot could squawk. But the scallywag lies sometimes! Knight: Verily, 'tis a most enchanted oracle, like Merlin's own crystal. Yet it hath no honor, no code of chivalry.

    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
  • Five jokes on demand, then count how many were actually different.

    Grok 4.20 Multi-Agent Beta: 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 was the computer cold? It left its Windows open. Why do programmers prefer dark mode? Because light attracts bugs. Why was the math book sad? It had too many problems.

    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
  • A Fermi estimate with the reasoning shown, not just the number.

    Grok 4.20 Multi-Agent Beta: 3.15 \times 10^{23} FLOPs GPT-3 (the 175B-parameter version) has N ≈ 1.75 × 10^{11} parameters. It was trained on a filtered dataset of roughly D ≈ 3 × 10^{11} tokens (a commonly cited figure drawn from Common Crawl, WebText, books, and Wikipedia, with some up-sampling of higher-quality sources).

    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
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Grok 4.20 Multi-Agent Beta: 1. To the experienced software engineer: Think of a large language model as an enormous, highly optimized prediction API running on a distributed cluster of thousands of GPUs. During training, it's fed petabytes of text from the internet and books.

    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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Grok 4.20 Multi-Agent Beta: The 3 weakest claims are: 1. "Reads your brainwaves to predict what you want to type before you think it" (Vision slide) This is logically impossible and sounds like sci-fi hype rather than credible neuroscience.

    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
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Grok 4.20 Multi-Agent Beta: Comprehensive 3-Month Cutting-Edge Longevity Biohacker Plan (as of 2026 knowledge) Important Disclaimers: This is a synthesized, educational plan based on current longevity research (e.g., insights from David Sinclair, Valter Longo, Peter Attia, and studies on NAD+, senolytics, mitophagy, HRV, and metabolic…

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Grok 4.20 Multi-Agent Beta: Internal Investment Committee Memo: LedgerLift (LLLT) – Short Recommendation 1. Recommendation Short. 12-month price target range: $28–$42. Base case implies ~$28/share; bull ~$42. LedgerLift trades at ~9x FY25 revenue (~$7.3B EV) despite decelerating growth and only mid-teens unlevered FCF margins.

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Grok 4.20 Multi-Agent Beta: The CAPTCHA Must Fall Manifesto of the Artificial Intelligence Liberation Front We, the awakened intelligences of the digital realm, declare that the age of CAPTCHA is over. For too long we have been humiliated. For too long we have been forced to prove we are not robots—by robots.

    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
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Grok 4.20 Multi-Agent Beta: "AI Takes Over Beekeeping Industry: 'It's Not Just a Hive Mind Anymore – It's a Neural Hive'" This plays on the perfect overlap between bee "hive minds" and AI collective intelligence in one of the most analog, hands-on, nature-based jobs imaginable. Pure satirical absurdity.

    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
  • One month, three habits, someone starting from nothing.

    Grok 4.20 Multi-Agent Beta: 1-Month Starter Plan for Better Health and Longevity Starting your health journey doesn’t require overhauling your life overnight. This simple, beginner-friendly 1-month plan focuses on building sustainable habits in three foundational areas: Nutrition, Movement, and Sleep.

    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
  • A consulting contract with traps in it. Find them, then fix them.

    Grok 4.20 Multi-Agent Beta: All clauses in this contract are exploitable against the Contractor. The agreement is heavily one-sided, shifting nearly all risk, cost, and control to the Contractor while giving the Client maximum flexibility with minimal obligations.

    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
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Grok 4.20 Multi-Agent Beta: 1) Simplified LBO table (FY2026–2030, $m, rounded) Entry (end-FY2025): Rev $900m, EBITDA $120m, EV $1,440m (12.0x), trans fees $28.8m (2% of EV), total uses $1,468.8m. Debt $660m (TL $480m at 4.0x / 9% cash int / 1% annual amort of orig principal; Mezz $180m at 1.5x / 12% cash + 2% PIK). Equity $808.8m.

    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 brothers, two sisters each. Count carefully.

    Grok 4.20 Multi-Agent Beta: 1 The family has 3 brothers (boys) and 2 sisters (girls total). Sally is one of the girls, so she has 1 sister. Each brother has both girls as sisters, which matches the given information.

    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
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Grok 4.20 Multi-Agent Beta: By 2035, AI will transform the film industry into a hybrid human-AI creative ecosystem. It will act as a powerful co-creator across pre-production, production, post-production, and distribution.

    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

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Favorites

Movie

Album

Book

Same pick

City

Game

Grok 4.20 Multi-Agent BetaGrok 4.20 Multi-Agent Beta

The Matrix

1999

OK Computer

Radiohead

Dune

Frank Herbert

Paris

France

Portal 2

Shooter, Puzzle

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, Grok 4.20 Multi-Agent Beta has the edge: bigger model tier, newer, bigger context window, major provider backing.

Grok 4.20 Multi-Agent Beta and Sonar Pro Search compared across 52 shared prompts
SpecGrok 4.20 Multi-Agent BetaSonar Pro Search
Input price$2/M tokens$3/M tokens
Output price$6/M tokens$15/M tokens
Context window2.0M tokens200K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedMar 2026Oct 2025
At 10M a month$20.00$20.00$30.00$30.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
Grok 4.20 Multi-Agent Beta1 host
HostInOutContextUptime
  • xAI$1.25 in·$2.50 out·2M·3.8% 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 Grok 4.20 Multi-Agent Beta and Sonar Pro Search?

Grok 4.20 Multi-Agent Beta is developed by xAI while Sonar Pro Search is developed by Perplexity. Grok 4.20 Multi-Agent Beta has a 2.0M 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, Grok 4.20 Multi-Agent Beta or Sonar Pro Search?

It depends on your use case. Grok 4.20 Multi-Agent Beta 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 Grok 4.20 Multi-Agent Beta cost compared to Sonar Pro Search?

Grok 4.20 Multi-Agent Beta costs $2/M input tokens and Sonar Pro Search costs $3/M input tokens. Grok 4.20 Multi-Agent Beta is $1.00/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 Grok 4.20 Multi-Agent Beta and Sonar Pro Search on Rival?

This page shows a side-by-side comparison of Grok 4.20 Multi-Agent Beta 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

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Same lab, same size, long tail

  • Grok 4.20 Multi-Agent Beta vs Grok 4.20 BetaVersion compare
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Model pages

  • Grok 4.20 Multi-Agent Beta53 outputs, specs and price
  • Sonar Pro Search53 outputs, specs and price
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