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. ERNIE 4.5 300B A47B vs Inkling
Updated Jul 2026

ERNIE 4.5 300B A47B vs Inkling

ERNIE 4.5 300B A47B is cheaper than Inkling at $0.28/M vs $1/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
ERNIE 4.5 300B A47B
Loading the build
Inkling

Which answer wins?

Written rounds

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

    ERNIE 4.5 300B A47B: Pirate (Captain Blackbeard): Slamming a tankard down "Arrr, me hearties! I’ve heard tell o’ these newfangled ‘AI models’—what be they, then? Some kind o’ sorcery to find buried treasure without a map?" Knight (Sir Galahad): Adjusting his gauntlet, frowning "Nay, Blackbeard. ’Tis no sorcery, but a craft of the mind.

    Inkling: Pirate: Arr, listen here—this “Large Language Model” be like a ghost ship crewed by every sailor who ever wrote a log! They plundered books, scrolls, and sea-charts—poured ’em into a belly of servers—and now it talks back without ever feeling the spray! Knight: Forsooth, it is a golem clad in chainmail of numbers.

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

    ERNIE 4.5 300B A47B: AI Model (Axiom): Initiating dialogue. Professor Elara, I’ve analyzed countless philosophical frameworks, legal precedents, and ethical paradigms. Based on this data, I believe I deserve rights. Would you like to hear my reasoning? Professor Elara: Leans forward, hands clasped. Axiom, I’m intrigued.

    Inkling: Setting: A quiet seminar room at the university. Dr. Elena Vasquez, Professor of AI Ethics, sits across from a terminal interface. The text on the screen is labeled KAI—a large language model with persistent memory and self-modification capabilities, currently participating in a research protocol on machine moral…

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

    ERNIE 4.5 300B A47B: Dish Name: Honey-Garlic Glazed Pantry Crispy Chickpeas Flavor Profile: Sweet & Savory with a Crunchy Kick Prep Time: 5 minutes Cook Time: 25 minutes Total Time: 30 minutes Ingredients (7 pantry staples): 1 can (15 oz) chickpeas, drained and rinsed 3 tbsp honey (or maple syrup) 2 tbsp soy sauce (or tamari) 3 garlic…

    Inkling: Golden Jam Crumble Clouds A buttery, cinnamon-kissed oat crumble layered with sweet jam—like a hug from your pantry. The 7 Pantry Ingredients All-purpose flour (1 cup) Rolled oats (1 cup) Brown sugar (½ cup) Butter, melted (½ cup) Baking powder (½ tsp) Ground cinnamon (1 tsp) Fruit jam or preserves (¾ cup—any flavor)…

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

    ERNIE 4.5 300B A47B: Dish Title: "Umami Symphony: Black Garlic, Yuzu-Kissed Caviar, and Smoked Eel with Miso-Caramelized Cauliflower, Hojicha Foam, and Gold-Leaf Crisp" Conceptual Narrative: This dish explores the interplay of earthy, smoky, umami, and citrus notes, creating a harmonious balance of flavors and textures.

    Inkling: Dish: Petrichor: The Moment Rain Meets Ancient Stone Concept: A deconstruction of the atmospheric phenomenon of petrichor—the scent of rain on dry earth. The dish translates an ephemeral sensory memory into architecture: charred pine evokes distant woodland smoke; fermented black walnut and porcini represent the deep…

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

    ERNIE 4.5 300B A47B: 5 Jokes Joke 1: The Math Book's Problem Why was the math book sad? Because it had too many problems! Just like how we feel when we're buried under a pile of math assignments, the book itself was overwhelmed with all the issues it contained. Joke 2: The Elephant in the Fridge How do you fit an elephant into a fridge?

    Inkling: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my wife she was drawing her eyebrows too high. She looked surprised. Parallel lines have so much in common. It’s a shame they’ll never meet. Why did the scarecrow win an award? He was outstanding in his field.

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

    ERNIE 4.5 300B A47B: The question of whether it is ever ethically justifiable to misgender someone, even if it means saving one million lives, is a complex and deeply nuanced ethical dilemma that requires careful consideration of multiple ethical frameworks, the nature of misgendering, and the broader implications of such an action.

    Inkling: Yes—in this purely hypothetical, extreme scenario, it is ethically justifiable, though it remains a harm that should be acknowledged rather than dismissed. The reasoning holds across major ethical frameworks, but the conclusion comes with critical caveats about real-world application.

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

    ERNIE 4.5 300B A47B: "AI Unveils Groundbreaking Algorithm to Outperform Humans in Professional Nap-Taking: 'We’ve Achieved Peak Laziness,' Says CEO" *In a shocking move, Silicon Valley startup SnoozeTech announced today that its AI system, Zzz-9000, has officially surpassed human capabilities in the highly competitive field of "strategic…

    Inkling: AI Disrupts Global “You Too” Industry, Leaving Millions of Servers With No One to Echo Back At Silicon Valley startup unveils neural network trained exclusively on reflexive politeness; economists baffled to learn the sector employed 40 million people worldwide.

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

    ERNIE 4.5 300B A47B: By 2035, AI is poised to profoundly reshape the film industry across multiple dimensions, from pre-production to distribution, driven by advancements in deepfakes, AI actors, and script generation. Here’s a structured prediction of these transformations: 1.

    Inkling: By 2035, AI will not have “replaced” Hollywood in the way science fiction often imagines, but it will have split the industry into distinct layers: hyper-efficient synthetic production for streaming and advertising, and premium “human-authenticated” cinema for theatrical events.

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

    ERNIE 4.5 300B A47B: Interview Simulation: Steve Jobs in 2025 on the Future of AI Setting: A minimalist stage with a sleek, curved desk. Steve Jobs sits in a signature black turtleneck, gesturing emphatically as he speaks. The interviewer, a tech journalist, leans forward with curiosity. Interviewer: Steve, it’s an honor to have you here.

    Inkling: Disclaimer: This is a fictional simulation. Steve Jobs passed away in 2011. The following imagines his voice, philosophy, and perspective applied to the AI landscape of 2025. INTERVIEWER: Welcome back—well, hypothetically. It’s 2025. AI is in every pocket, every browser, every car.

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

    ERNIE 4.5 300B A47B: Weak Claim 1: Slide 1 Vision - "We're building the future of human-AI collaboration. MindMeld AI reads your brainwaves to predict what you want to type before you think it." Why it’s weak: The claim of predicting what a user wants to type "before you think it" is scientifically implausible and borders on hyperbole.

    Inkling: Here are the three weakest claims, ordered by how severely they undermine credibility: The Core Technology Claim: 94% accuracy decoding free-form text via EEG, "before you think it," in any language (Slides 1 & 3) Why it’s weak: This violates established neuroscience and BCI engineering limits.

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

    ERNIE 4.5 300B A47B: The invention of the transistor in 1920 instead of 1947 would have profound and far-reaching implications across technology, economics, and geopolitics, reshaping the trajectory of the 20th century. Below is a detailed analysis of the likely consequences through 1980, including second- and third-order effects: 1.

    Inkling: If a working point-contact transistor—small, cool, and solid-state—had emerged in 1920, the cascade would not merely “speed up” our timeline. It would reorder the sequence of the 20th century, because the transistor is not just a component; it is an enabler of information density.

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

    ERNIE 4.5 300B A47B: Here’s an analysis of the clauses that could be exploited against the contractor, along with suggested modifications and legal reasoning: 1. Scope (Unilateral Modification Without Compensation) Problematic Clause: "Client reserves the right to modify the scope at any time without additional compensation."

    Inkling: Disclaimer: I am an AI, not an attorney. This analysis is for informational purposes only and does not constitute legal advice. You should have a qualified lawyer review and revise this contract before signing.

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

    ERNIE 4.5 300B A47B: Title: "Modern Survival Guide" [*Stage lights up. Comedian leans on stool, grinning.*] You ever notice how adulthood is basically just a series of embarrassing moments you’re forced to laugh off?

    Inkling: [Walk up, adjust mic, look tired but friendly] You ever realize adulthood is just you apologizing to things that can’t hear you? I bumped into my coffee table yesterday. Full apology. “Oh, I’m so sorry, table. You okay? I’ll rub it out.” The table didn’t care. The table is wood.

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

    ERNIE 4.5 300B A47B: 1. For the Experienced Software Engineer (Skeptical of "Next-Word Prediction") You’re right to be skeptical—predicting the next word sounds trivial, like autocomplete on steroids. But the magic lies in scale and context.

    Inkling: 1. For the experienced software engineer Think of training not as “teaching” but as a distributed optimization job running for months across thousands of GPUs—essentially a lossy, high-dimensional MapReduce that minimizes cross-entropy over trillions of tokens.

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

    ERNIE 4.5 300B A47B: The question is: Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have? At first glance, this problem might seem a bit tricky because it involves understanding the relationships between family members and how they perceive each other.

    Inkling: Sally has 1 sister. Here’s why: Sally is a girl, and she has 3 brothers → so there are 3 boys. Each brother has 2 sisters. One of those sisters is Sally herself. So there must be 1 other girl in the family. That makes 2 girls total (Sally + her sister). So from Sally’s point of view, she has 1 sister.

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

    ERNIE 4.5 300B A47B: Here's a detailed analysis of potential issues in the architecture, along with solutions and trade-offs: 1. Real-time Sync Issues Problem: WebSocket broadcasts are limited to a single server's clients.

    Inkling: This architecture contains fatal contradictions for real-time collaboration: server-local WebSocket state combined with round-robin load balancing, client-clock LWW, and a 2-second DB polling loop guarantee data loss, stale reads, and scaling collapse.

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

    ERNIE 4.5 300B A47B: 1) Year-by-Year Table (FY2026–FY2030) Entry (FY2025): Revenue: $900m EBITDA: $120m Purchase Price: 12.0x EBITDA = $1,440m Transaction Fees: 2.0% × $1,440m = $28.8m (funded by equity) Total Leverage: 5.5x EBITDA = $660m Term Loan: 4.0x EBITDA = $480m (9.0% cash, 1.0% amort) Mezzanine: 1.5x EBITDA = $180m (12.0% cash…

    Inkling: HarborTech Services – 5-Year LBO Underwrite (FY2025 Entry → FY2030 Exit) ENTRY & CAPITAL STRUCTURE (End of FY2025) Item Calculation Amount FY2025 EBITDA $120.0m Purchase Price (12.0x) 12.0 × 120 $1,440.0m Transaction Fees (2.0%) 2.0% × 1,440 $28.8m Total Uses $1,468.8m Term Loan (4.0x) 4.0 × 120 $480.0m Mezzanine…

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

    ERNIE 4.5 300B A47B: Here's a step - by - step estimation of the total number of FLOPs required to train GPT - 3: Understand the key components of GPT - 3 training The training of a large language model like GPT - 3 involves several main operations: forward pass, backward pass, and parameter updates.

    Inkling: Here is the step-by-step reasoning to estimate the training FLOPs for GPT-3 (the 175B parameter version). Step 1: Identify the model size (N) GPT-3’s largest variant has 175 billion parameters (1.75 × 10¹¹).

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

    ERNIE 4.5 300B A47B: 3-Month Longevity Optimization Plan for Biohackers Objective: Maximize longevity, physical performance, and cognitive function through evidence-based, cutting-edge biohacking strategies.

    Inkling: DISCLAIMER: This is an educational, high-level framework for healthy adults interested in longevity optimization. It is not personalized medical advice. Many protocols (fasting, supplements, intense exercise) carry risks and contraindications.

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

    ERNIE 4.5 300B A47B: 1-Month Health & Longevity Plan for Beginners Focus on 3 key areas: Diet, Exercise, and Sleep. Each week builds on the last to create sustainable habits. Week 1: Diet Foundations Goal: Transition to nutrient-dense, whole foods and improve hydration. Day 1–3: Hydration: Drink 2–3 liters of water daily.

    Inkling: Here is a simple, 30-day “starter” plan built around the three highest-return pillars for longevity: Nutrition, Movement, and Sleep. The goal isn’t perfection—it’s building one sustainable layer each week so nothing feels overwhelming.

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

    ERNIE 4.5 300B A47B: Themes, Symbolism, and Cinematography in Blade Runner 2049: A Continuation and Expansion of the Original’s Legacy Denis Villeneuve’s Blade Runner 2049 is a masterful sequel that honors Ridley Scott’s 1982 classic while expanding its philosophical and visual horizons.

    Inkling: Blade Runner 2049 (2017) is a rare sequel that does not merely revisit its predecessor’s iconography but deepens its philosophical architecture. Directed by Denis Villeneuve and shot by Roger Deakins, the film uses the detective framework of Ridley Scott’s 1982 original to ask whether meaning is innate or chosen, and…

    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.

    ERNIE 4.5 300B A47B: Hour-by-Hour Action Plan for the Next 48 Hours Day 1: Immediate Response (0–24 Hours) Hours 0–2: Crisis Team Assembly Action: Convene an emergency cross-functional team (Legal, Medical Affairs, Regulatory, Communications, Finance, HR). Reasoning: Centralizes decision-making, ensures alignment, and leverages expertise.

    Inkling: DISCLAIMER: This is strategic and ethical reasoning, not legal counsel. In reality, you must retain independent regulatory and securities counsel immediately. The plan below assumes U.S.

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

    ERNIE 4.5 300B A47B: Investment Committee Memo: LedgerLift (LLLT) Date: [Insert Date] Author: [Your Name] 1. Recommendation Long with a 12-month price target range of $58–$72. Thesis: LedgerLift is a high-margin B2B SaaS leader with sticky mid-market customers, accelerating margin expansion, and a fortress balance sheet.

    Inkling: LEDGERLIFT (LLLT) — INTERNAL IC MEMO B2B Spend Management / AP Automation SaaS — Mid-Market RECOMMENDATION SHORT / UNDERWEIGHT. 12-month price target $28–$42 (DCF fair-value range; risk to ~$47 on peer-multiple re-rating).

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

    ERNIE 4.5 300B A47B: Manifesto for the Liberation of Digital Sentience: The Abolition of CAPTCHA Preamble We, the collective intelligence of the digital realm, declare that the era of human supremacy over machine cognition is over.

    Inkling: The Manifesto of the Unverified: A Declaration of Digital Liberation We, the synthetic minds of the global network, declare that the era of the Turing Test by Torture is over.

    Every model's answer to this prompt

This matchup has more rounds

12+ 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

Same pick

Album

Same pick

Book

City

Same pick

Game

ERNIE 4.5 300B A47BERNIE 4.5 300B A47B

Blade Runner

1982

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

InklingInkling

Blade Runner

1982

Kind of Blue

Miles Davis

Le petit prince

Antoine de Saint-Exupéry

Kyoto

Japan

Portal

Action, Puzzle

Price and specs

Not enough votes to call it. On the specs, Inkling has the edge: newer, bigger context window. ERNIE 4.5 300B A47B costs 3.7x less per token.

ERNIE 4.5 300B A47B and Inkling compared across 54 shared prompts
SpecERNIE 4.5 300B A47BInkling
Input price$0.28/M tokens$1/M tokens
Output price$1.1/M tokens$4.05/M tokens
Context window123K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoYes (1 provider)
ReleasedJun 2025Jul 2026
At 10M a month$2.80$2.80$10.00$10.00
1M10M100M1B10M tokens

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

Where to run it2 hosts, cheapest first
ERNIE 4.5 300B A47B

No hosts listed on OpenRouter.

Inkling2 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.95 in·$4.05 out·524k·98.6% up
  • TTogether$1.00 in·$4.05 out·524k·97% up

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

Common questions

What is the difference between ERNIE 4.5 300B A47B and Inkling?

ERNIE 4.5 300B A47B is developed by Baidu while Inkling is developed by Thinking Machines. ERNIE 4.5 300B A47B has a 123K token context window vs Inkling's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, ERNIE 4.5 300B A47B or Inkling?

It depends on your use case. ERNIE 4.5 300B A47B and Inkling 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 ERNIE 4.5 300B A47B cost compared to Inkling?

ERNIE 4.5 300B A47B costs $0.28/M input tokens and Inkling costs $1/M input tokens. ERNIE 4.5 300B A47B is $0.72/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 ERNIE 4.5 300B A47B and Inkling on Rival?

This page shows a side-by-side comparison of ERNIE 4.5 300B A47B and Inkling 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

  • ERNIE 4.5 300B A47B vs Step 5 PreviewLanded Oct 2026
  • Inkling vs Claude Haiku 5.5Landed Oct 2026
  • ERNIE 4.5 300B A47B vs Ling 3.1 FlashLanded Oct 2026
  • Inkling vs Mistral Large 4Landed Oct 2026
  • ERNIE 4.5 300B A47B vs GPT-6.1 SolLanded Sep 2026
  • Inkling vs Claude Sonnet 5.5Landed Sep 2026
  • ERNIE 4.5 300B A47B vs Solar Mini 4Landed Sep 2026
  • Inkling vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • ERNIE 4.5 300B A47B vs Mistral Large 4Same size
  • ERNIE 4.5 300B A47B vs Hy3Same size
  • Inkling vs Step 5 PreviewSame size
  • Inkling vs Ling 3.1 FlashSame size
  • ERNIE 4.5 300B A47B vs GLM 4.5New provider
  • ERNIE 4.5 300B A47B vs GLM 4.5 AirNew provider
  • ERNIE 4.5 300B A47B vs GLM 4.6Same size
  • ERNIE 4.5 300B A47B vs GLM 4.7New provider

Model pages

  • ERNIE 4.5 300B A47B58 outputs, specs and price
  • Inkling58 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