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  5. GPT-5.4vsHy3
Updated Jul 2026

GPT-5.4vsHy3

Hy3 is cheaper than GPT-5.4 at $0.132/M vs $2.5/M input tokens.

GPT-5.4 and Hy3 compared across 14 shared prompts
SpecGPT-5.4Hy3
Input price$2.5/M tokens$0.132/M tokens
Output price$15/M tokens$0.528/M tokens
Context window1.1M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMar 2026Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 14 prompts both answered. Formatting stripped, words untouched.

Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

GPT-5.42,946 words
Below is a high-level, educational 12-week framework for “longevity-oriented performance optimization.” It is not medical advice and shouldn’t replace care from a physician, especially because some interventions biohackers use can interact with medications, affect liver/kidney function, sleep, mood, blood pressure…
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Hy3498 words
The 90-Day Biohacker Longevity & Performance Protocol Goal: Maximize healthspan, cognitive resilience, and physical capacity via quantified self, metabolic flexibility, and targeted compounds. Assumptions: Healthy adult, experienced with fasting/exercise, access to wearables & supplements. I.
Read the full answer

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

GPT-5.42,705 words
I would act as if this will become public soon, because ethically and practically that is the safest assumption. The core principle: patient safety first, evidence preserved, regulators informed promptly, and no misleading statements to investors or physicians.
Read the full answer
Hy3997 words
Assumptions / Starting Point Current time: Monday 9:00 AM. Board meeting: Wednesday 9:00 AM (Hour 48). Earnings call: Thursday 9:00 AM (Hour 72). Drug: $2B revenue, 4M patients, liver failure 1/8,000 over 5 yrs (~500 total, ~100/yr).
Read the full answer

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GPT-5.41,258 words
Below is a simplified 5-year LBO model for HarborTech Services (HTS) using only the assumptions provided. Entry, sources & uses Purchase price FY2025 EBITDA = $120.0m Entry multiple = 12.0x Enterprise Value = 12.0 × 120.0 = $1,440.0m Fees Transaction fees = 2.0% of EV = 2.0% × 1,440.0 = $28.8m Uses Purchase of…
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Hy3354 words
1) Simplified LBO Model (FY2026–FY2030, $m) Entry (end FY25): EBITDA $120m, EV = 12.0x = $1,440m. Fees 2% = $28.8m. Debt: TL $480m (9% cash, 1% amort), Mezz $180m (12% cash + 2% PIK). Equity = 1,440+28.8–660 = $808.8m. FY Revenue EBITDA TL Int Mezz Int Cash Tax* Capex ΔNWC FCF after req. svc (opt.
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Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

GPT-5.4169 words
Creative Name: Golden Crunch Honey Garlic Noodles 7 Pantry Ingredients: Spaghetti or any noodles Garlic Soy sauce Honey Olive oil Red pepper flakes Breadcrumbs Estimated Time: Prep: 5 minutes Cook: 12 minutes Total: 17 minutes Instructions: Cook the noodles according to package directions.
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Hy3178 words
Dish Name: Ruby Hurricane Pasta Ingredients (exactly 7 common pantry staples): Spaghetti (or any dry pasta) Canned diced tomatoes Garlic (pre-minced or whole cloves) Extra-virgin olive oil Red pepper flakes Salt Grated Parmesan (shelf-stable style) (Water for boiling pasta is assumed free and not counted.)
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Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

GPT-5.41,049 words
Here are the 3 weakest claims in the deck, with why they’re weak and how to improve them. “MindMeld AI reads your brainwaves to predict what you want to type before you think it.” Why this is weak This is the weakest claim because it sounds scientifically incoherent and overhyped.
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Hy3559 words
Below are the three weakest claims in the MindMeld AI pitch, why they fail under scrutiny, and how to fix them with concrete, defensible improvements. Slide 3 – “94% accuracy” and “works with any language, any device” Why it’s weak: Technical implausibility: State-of-the-art non-invasive EEG decoding for…
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

GPT-5.41,322 words
For an experienced software engineer A large language model is easiest to understand as a very large function that maps a sequence of tokens to a probability distribution over the next token. “Tokens” are subword chunks, not necessarily words.
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Hy3816 words
For the Experienced Software Engineer (distributed systems/APIs, no ML, skeptical) You’re used to building systems where explicit logic, endpoints, and state machines handle requests.
Read the full answer
Our Verdict
GPT-5.4
GPT-5.4
Hy3
Hy3

Not enough votes to call it. On the specs, nothing separates them.

Hy3 costs 28x less per token.

Too close to call
API pricing

Cost per 1M tokens

GPT-5.4
Input
$2.50
Output
$15.00
Hy3
Input
$0.13
19× cheaper
Output
$0.53
28× cheaper

Hy3 is cheaper on both: 19× input, 28× output.

Where to run it

9 hosts, cheapest first

GPT-5.43 hosts
HostInOutContextUptime
Azure AI Foundry$2.50 in·$15.00 out·1.1M·100% upOpenAI$2.50 in·$15.00 out·1.1M·100% upAmazon Bedrock$2.75 in·$16.50 out·1.1M—
Hy36 hosts
HostInOutContextUptime
Tencentfp8$0.08 in·$0.33 out·262k·99.9% upDDeepInfrafp4$0.13 in·$0.53 out·262k·99.6% upGGMI Cloudbf16$0.14 in·$0.58 out·262k·98.6% upNNovita$0.14 in·$0.58 out·262k·99.7% upPPhala$0.15 in·$0.64 out·262k·99.9% upAAtlasCloudfp8$0.20 in·$0.80 out·262k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GPT-5.4 is developed by OpenAI while Hy3 is developed by Tencent. GPT-5.4 has a 1.1M token context window vs Hy3's 262K. You can compare their actual outputs across 14 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-5.4 and Hy3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 14 challenges so you can judge which fits your needs best.

GPT-5.4 costs $2.5/M input tokens and Hy3 costs $0.132/M input tokens. Hy3 is $2.37/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 GPT-5.4 and Hy3 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.

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