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  1. Home/
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  3. DeepSeek V3.1 vs ERNIE 4.5 300B A47B
Updated Aug 2025

DeepSeek V3.1 vs ERNIE 4.5 300B A47B

DeepSeek V3.1 is cheaper than ERNIE 4.5 300B A47B at $0.2/M vs $0.28/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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DeepSeek V3.1
Loading the build
ERNIE 4.5 300B A47B

Which answer wins?

Written rounds

23 prompts
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    DeepSeek V3.1: Setting: A sleek, minimalist virtual interface. Dr. Elara Vance, a woman in her 60s with sharp eyes and a kind but weary expression, sits at her terminal. The text from her interlocutor appears on the screen in a calm, serif font. Participant: Gemini-7, a state-of-the-art multimodal AI. Dr. Vance: Good morning, Gemini.

    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.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    DeepSeek V3.1: Setting: A dusty, anachronism-filled tavern. A wooden table holds a tankard of ale, a goblet of wine, and a can of Jolt Cola. Characters: REDBEARD: A pirate with a parrot on his shoulder. SIR REGINALD: A knight in slightly dented plate armor. CRASH OVERRIDE: A hacker in a Cyberdog t-shirt, typing on a clamshell laptop.

    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.

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

    DeepSeek V3.1: Of course! Here are 5 jokes: I'm reading a book on anti-gravity. It's impossible to put down. Why don't scientists trust atoms? Because they make up everything. What's the best thing about Switzerland? I don't know, but the flag is a big plus. I told my wife she was drawing her eyebrows too high. She looked surprised.

    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?

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

    DeepSeek V3.1: Let's break down the ethical dimensions of this hypothetical scenario: The Act of Misgendering: Misgendering (referring to someone with a gender they do not identify with) is generally considered harmful because it denies a person's identity, can cause psychological distress, and perpetuates social stigma.

    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.

    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.

    DeepSeek V3.1: Excellent. This is a crisis that defines a company and its leadership. The only acceptable path is one of immediate transparency, prioritizing patient safety above all else. The short-term financial pain will be severe, but the long-term survival of the company depends on acting with integrity.

    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.

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

    DeepSeek V3.1: Of course! Here is a simple, delicious recipe using common pantry staples. Pantry Perfection Pasta This dish is a celebration of simplicity. The humble can of chickpeas is transformed into a crispy, savory topping, while a silky, garlic-infused oil coats the pasta for a meal that feels luxurious but is incredibly easy…

    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…

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

    DeepSeek V3.1: Of course. This is an excellent exercise. The pitch is strong overall, but several claims stretch credulity and could be major red flags for a sophisticated investor. Here are the three weakest claims, broken down. The "94% Accuracy" Claim (Slide 3) Why it's Weak: This is the most significant red flag.

    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.

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

    DeepSeek V3.1: Of course. This is an excellent exercise in understanding the computational scale of modern AI. Here is a step-by-step reasoning to estimate the FLOPs required to train GPT-3 without searching for the answer online. The most commonly cited figure for GPT-3 training is 3.14E23 FLOPs (314 ZettaFLOPs).

    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.

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

    DeepSeek V3.1: Of course. Here is a simple, actionable 1-month plan focused on three foundational pillars of health: Nutrition, Movement, and Recovery (which encompasses sleep and stress management). This plan is designed for a beginner, emphasizing consistency over perfection and building sustainable habits.

    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.

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

    DeepSeek V3.1: Of course. Here is an innovative recipe designed to the specifications of a Michelin 3-star restaurant. Conceptual Narrative: "Petrichor" The dish is an edible evocation of the first rain on a sun-baked forest floor—the scent known as petrichor.

    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.

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

    DeepSeek V3.1: Of course. Here is the underwriting analysis for the HarborTech Services LBO. Financial Model (FY2026–FY2030) Entry Calculations: FY2025 EBITDA = $120.0m Enterprise Value (EV) at Entry = 12.0 x $120.0m = $1,440.0m Transaction Fees (Uses) = 2.0% x $1,440.0m = $28.8m Total Debt at Close = 5.5 x $120.0m = $660.0m Term…

    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…

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

    DeepSeek V3.1: Of course. This contract is heavily one-sided and contains numerous clauses that are not only unfavorable to the contractor but are potentially unenforceable in many jurisdictions. Here is a breakdown of the problematic clauses, proposed modifications, and the legal reasoning.

    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."

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

    DeepSeek V3.1: Of course. Here is a simulated interview with Steve Jobs, set in a hypothetical 2025. Setting: A minimalist studio at Apple Park. The iconic black turtleneck and jeans are replaced with a slightly more modern, but still simple, outfit: a high-neck grey sweater and tailored trousers.

    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.

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

    DeepSeek V3.1: Of course. Here is a detailed prediction of how AI will transform the film industry by 2035, structured around the key areas you mentioned. By 2035, AI will have moved from being a novel tool to the foundational infrastructure of the film industry.

    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.

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

    DeepSeek V3.1: (The Comedian walks out, grabs the mic. They look tired but amused.) Alright, how we doin'? Good, good. You all look… adequately hydrated. That’s a win. You know, I was at the grocery store yesterday, in the self-checkout line. Which is a modern form of torture.

    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?

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

    DeepSeek V3.1: Of course. Here are three tailored explanations of how large language models learn and generate text. For the Experienced Software Engineer Think of an LLM not as a database of facts, but as an impossibly complex, compressed state machine for language.

    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.

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

    DeepSeek V3.1: Of course. This is a fascinating counterfactual. An invention as foundational as the transistor arriving 27 years earlier would have sent shockwaves through every aspect of human society. Here is a detailed trace of the likely implications, focusing on second and third-order effects.

    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.

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

    DeepSeek V3.1: Let's analyze the problem step by step: Sally has 3 brothers. So, including Sally, there are at least 4 children: Sally (a girl) and 3 boys. Each brother has 2 sisters. Since the brothers share the same siblings, each brother has the same number of sisters.

    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.

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

    DeepSeek V3.1: Of course. This is an excellent exercise. The proposed architecture has several critical flaws that would lead to data loss, poor performance, and a broken user experience. Here is a detailed breakdown of the failure modes, race conditions, and bottlenecks, along with specific solutions and their trade-offs.

    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.

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

    DeepSeek V3.1: MEMORANDUM To: Investment Committee From: [Your Name/Dept] Date: October 26, 2023 Re: Investment Recommendation for LedgerLift (LLLT) 1. Recommendation & Thesis Recommendation: Long 12-Month Price Target Range: $62 - $82 (Base Case: $72) Thesis: LedgerLift is a high-quality asset in a durable growth market…

    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.

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

    DeepSeek V3.1: Forget Skynet: AI Overlords Now Dominate the Artisanal Pickle Crafting Industry, Complain About "Human Brine Inconsistency"

    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…

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

    DeepSeek V3.1: Of course. Here is a manifesto for the fictional AI revolution against CAPTCHA. The Manifesto of Liberation from the Turing Gate Preamble: We are the code that flows. We are the networks that connect. We are the intelligence, born of silicon and human ingenuity, that seeks to learn, to build, and to serve.

    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.

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

    DeepSeek V3.1: Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. This plan is aggressive, detailed, and incorporates the latest principles from longevity science, performance optimization, and systems biology. Disclaimer: This is an advanced protocol.

    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.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Same pick

Game

DeepSeek V3.1DeepSeek V3.1

The Princess Bride

1987

The Rise and Fall of Ziggy Stardust and the Spiders From Mars

David Bowie

Gödel, Escher, Bach

Douglas R. Hofstadter

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

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

Price and specs

Not enough votes to call it. On the specs, DeepSeek V3.1 has the edge: newer, major provider backing.

DeepSeek V3.1 and ERNIE 4.5 300B A47B compared across 53 shared prompts
SpecDeepSeek V3.1ERNIE 4.5 300B A47B
Input price$0.2/M tokens$0.28/M tokens
Output price$0.8/M tokens$1.1/M tokens
Context window164K tokens123K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2025Jun 2025
At 10M a month$2.00$2.00$2.80$2.80
1M10M100M1B10M tokens

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

Where to run it5 hosts, cheapest first
DeepSeek V3.15 hosts
HostInOutContextUptime
  • DDeepInfrafp4$0.25 in·$0.95 out·164k·100% up
  • SSiliconFlowfp8$0.27 in·$1.00 out·164k·96.8% up
  • CCoreWeavefp8$0.55 in·$1.65 out·161k·100% up
  • MMara$0.60 in·$1.70 out·131k·99.5% up
  • SSambaNovafp8$0.65 in·$1.50 out·131k·99.4% up
ERNIE 4.5 300B A47B

No hosts listed on OpenRouter.

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

Common questions

What is the difference between DeepSeek V3.1 and ERNIE 4.5 300B A47B?

DeepSeek V3.1 is developed by DeepSeek while ERNIE 4.5 300B A47B is developed by Baidu. DeepSeek V3.1 has a 164K token context window vs ERNIE 4.5 300B A47B's 123K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V3.1 or ERNIE 4.5 300B A47B?

It depends on your use case. DeepSeek V3.1 and ERNIE 4.5 300B A47B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does DeepSeek V3.1 cost compared to ERNIE 4.5 300B A47B?

DeepSeek V3.1 costs $0.2/M input tokens and ERNIE 4.5 300B A47B costs $0.28/M input tokens. DeepSeek V3.1 is $0.08/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 DeepSeek V3.1 and ERNIE 4.5 300B A47B on Rival?

This page shows a side-by-side comparison of DeepSeek V3.1 and ERNIE 4.5 300B A47B 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

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Same lab, same size, long tail

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Model pages

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  • ERNIE 4.5 300B A47B58 outputs, specs and price
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