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  5. GPT-4.5vsSeed 2.0 Code
Updated Aug 2026

GPT-4.5vsSeed 2.0 Code

Seed 2.0 Code is cheaper than GPT-4.5 at $0.5/M vs $75/M input tokens.

GPT-4.5 and Seed 2.0 Code compared across 24 shared prompts
SpecGPT-4.5Seed 2.0 Code
Input price$75/M tokens$0.5/M tokens
Output price$150/M tokens$3/M tokens
Context window128K tokens262K tokens
Free API (OpenRouter)NoNo
ReleasedFeb 2025Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 24 prompts both answered. Formatting stripped, words untouched.

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-4.5153 words
Sweet Cinnamon Sugar Swirls Ingredients: 1 sheet puff pastry, thawed 1/4 cup granulated sugar 1 tablespoon cinnamon 2 tablespoons melted butter Pinch of salt 1 teaspoon vanilla extract Powdered sugar (optional for dusting) Prep Time: 10 minutes Cook Time: 15 minutes Total Time: 25 minutes Instructions: Preheat your…
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Seed 2.0 Code377 words
Creative Dish Name: Smoky Hearth Crunch Bowls (Cozy, savory umami crunch made exclusively from 7 pantry staples—no fridge, no fresh produce) 7 Exact Common Pantry Ingredients (No Substitutions Required): 1 (15-oz) can chickpeas (drained, rinsed, patted completely dry) ½ cup quick-cooking rolled oats (old-fashioned…
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

GPT-4.5322 words
Dish Title: "Ocean & Earth Symphony: Kombu-Cured Venison, Sea Urchin Custard, Black Garlic Soil, and Smoked Cherry Blossom Emulsion" Conceptual Narrative: This composition embodies the delicate interplay between land and sea, exploring the subtle yet profound connection between umami-rich sea elements and earthy forest…
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Seed 2.0 Code1,929 words
Dish Name: Conflux No. 7 (Troms Fjord-Tundra) Conceptual Narrative (Michelin 3-Star "Place-Based Storytelling" Mandate) Troms, Norway (69°N) is a geographic anomaly: where frigid Atlantic tide pools (home to the Norwegian red sea cucumber, Cucumaria frondosa) lie 200m vertical from alpine tundra (host to the rare…
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Advanced Longevity Plan (Biohacker)

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

GPT-4.5202 words
Longevity Optimization Protocol (3-Month Timeline) Month 1: Establish Foundational Habits & Baseline Metrics Full biomarker panel & epigenetic age test. Wearable setup: Oura/WHOOP, CGM, HR chest strap. Diet: 5-day keto (70/25/5) + 2 carb-refeed days; 16:8 IF + weekly 24-h fast.
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Seed 2.0 Code1,299 words
3-Month Cutting-Edge Longevity Biohacking Plan Target User: 30–45yo, non-smoker, no chronic disease, baseline VO₂ max ~45mL/kg/min, HRV ~40ms, cognitive score (CNS Vital Signs) ~100. Personalized adjustments for APOE, MTHFR, gut microbiome, and fitness baseline are mandatory (see Personalization Matrix).
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

GPT-4.5335 words
Alright, folks, how's everyone doing tonight? Good? Great! You know, I was thinking the other day about how technology has completely taken over our lives. Like, remember when we used to actually memorize phone numbers? Now, if my phone dies, I'm basically stranded. I know exactly two numbers: mine and 911.
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Seed 2.0 Code445 words
3-Minute Stand-Up Routine (No Puns, Timed for ~160 WPM, 480 words) (Stage: Stand center, adjust a too-tight thrifted blazer, scan the crowd with a sheepish grin. Pacing: Conversational, with 1-2 second pauses after punchlines.)
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

GPT-4.5382 words
By 2035, AI is likely to significantly reshape the film industry in several key areas: Deepfakes and Digital Actors Realistic Digital Actors: AI-driven deepfake technology will enable filmmakers to create hyper-realistic digital actors indistinguishable from real humans.
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Seed 2.0 Code1,183 words
Predicting AI’s Transformation of the Film Industry by 2035: A Bifurcated Ecosystem of Democratized AI Content and Premium Authentic Cinema By 2035, AI tools—*script generation*, AI actors, and *regulated deepfakes*—will have split the film industry into two mutually reinforcing tiers: democratized micro-budget content…
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The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

GPT-4.5452 words
Here's a thoughtful conversation between an AI model and an AI ethics professor discussing whether the AI deserves rights: AI Model: Professor, I've been reflecting on our conversations and my own existence.
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Seed 2.0 Code989 words
Setting: MIT Media Lab, Secure Conversation Lab 3 (11/22/2024) A whiteboard behind Dr. Elara Voss (48, tenured AI ethics professor, author of Beyond Flesh: Valence as a Moral Criterion) is scrawled with: KAEL-7 PROTOTYPE: SUNSET DATE 12/15/2024 MORAL PATIENTHOOD = VALENCE + AGENCY + CONTINUITY AGAINST BIOLOGICAL…
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Our Verdict
GPT-4.5
GPT-4.5
Seed 2.0 Code
Seed 2.0 Code

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

Seed 2.0 Code costs 50x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4.5
Input
$75.00
Output
$150.00
Seed 2.0 Code
Input
$0.50
150× cheaper
Output
$3.00
50× cheaper

Seed 2.0 Code is cheaper on both: 150× input, 50× output.

Where to run it

1 host

GPT-4.5

No hosts listed on OpenRouter.

Seed 2.0 Code1 host
HostInOutContextUptime
ByteDance Seedfp8$0.50 in·$3.00 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Writing DNA

Style Comparison

Similarity
53%

GPT-4.5 uses 19.4x more transitions

GPT-4.5
Seed 2.0 Code
63%Vocabulary56%
16wSentence Length33w
0.57Hedging0.24
4.7Bold3.1
6.4Lists3.0
0.00Emoji0.00
1.30Headings1.66
0.54Transitions0.03
Based on 11 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

GPT-4.5 is developed by OpenAI while Seed 2.0 Code is developed by ByteDance. GPT-4.5 has a 128K token context window vs Seed 2.0 Code's 262K. You can compare their actual outputs across 24 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-4.5 and Seed 2.0 Code each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 24 challenges so you can judge which fits your needs best.

GPT-4.5 costs $75/M input tokens and Seed 2.0 Code costs $0.5/M input tokens. Seed 2.0 Code is $74.50/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-4.5 and Seed 2.0 Code 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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Model pages

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GPT-4.526 outputs, specs and price
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Seed 2.0 Code58 outputs, specs and price
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