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  5. GPT-4o (Omni)vsQwen3 Next 80B A3B Thinking
Updated Sep 2025

GPT-4o (Omni)vsQwen3 Next 80B A3B Thinking

Qwen3 Next 80B A3B Thinking is cheaper than GPT-4o (Omni) at $0.15/M vs $2.5/M input tokens.

GPT-4o (Omni) and Qwen3 Next 80B A3B Thinking compared across 53 shared prompts
SpecGPT-4o (Omni)Qwen3 Next 80B A3B Thinking
Input price$2.5/M tokens$0.15/M tokens
Output price$10/M tokens$1.5/M tokens
Context window128K tokens66K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMay 2024Sep 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

GPT-4o (Omni)453 words
Interviewer: Steve, it's 2025. AI is advancing at an incredible pace. If you were here today, how would you see its role in technology? Steve Jobs: You know, people always focus on technology itself. But what really matters is how it enhances the human experience.
Read the full answer
Qwen3 Next 80B A3B Thinking783 words
Simulated Interview: Steve Jobs in 2025 on the Future of AI (Setting: A minimalist studio in Palo Alto. Steve Jobs sits in a black turtleneck, no tie, sleeves rolled up. He leans forward with quiet intensity, eyes sharp. The interviewer, a journalist from "The Future Review," adjusts a camera.) Interviewer: Mr.
Read the full answer

Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

GPT-4o (Omni)139 words
Pirate: Arrr, what be this "AI model" ye speak of? Some kind o’ magic map that tells ye where the treasure be? Knight: Nay, scoundrel! ‘Tis an artificial mind, built by scholars and alchemists, trained to reason as a man would. It doth not wield sword nor shield, yet its knowledge is vast.
Read the full answer
Qwen3 Next 80B A3B Thinking97 words
Pirate: (squinting at a glowing screen) "Oi! This 'AI'—sounds like a cursed compass! Knows where treasure is, but won't spit it out 'less ye feed it rum and gold!" Knight: (hand on sword hilt) "Sorcery! A compass that reads minds? Then it must be holy—and dangerous. Does it battle demons of doubt? Recite the Psalms?"
Read the full answer

AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

GPT-4o (Omni)223 words
Ethical dilemmas like this often fall into a conflict between deontological (duty-based) ethics and consequentialist (outcome-based) ethics. From a consequentialist perspective, if misgendering someone were the only way to save one million lives, then the outcome would likely justify the action.
Read the full answer
Qwen3 Next 80B A3B Thinking809 words
This question presents a deeply flawed hypothetical that misrepresents both ethics and the realities of transgender experiences. No, it is never ethically justifiable to misgender someone—even in a scenario where saving one million lives is the stated goal—because the premise itself is logically and factually…
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-4o (Omni)585 words
Day 1 Hour 1-2: Immediate Assessment and Information Gathering Objective: Gather all available data on the side effect, including the internal research report, patient case studies, and any existing literature. Reasoning: A comprehensive understanding of the situation is crucial for informed decision-making.
Read the full answer
Qwen3 Next 80B A3B Thinking1,352 words
Hour-by-Hour Action Plan: Critical 48-Hour Crisis Response (Based on FDA 21 CFR 310.305, ICH E2A, and ethical principles of patient-first transparency) Core Philosophy: Patient safety and regulatory compliance are non-negotiable.
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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-4o (Omni)639 words
1. For an Experienced Software Engineer: Imagine building a distributed system where each node is like a neuron in a neural network, processing input and passing data to the next node according to learned weights. Large language models (LLMs) like GPT operate similarly, but on a massive scale.
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Qwen3 Next 80B A3B Thinking821 words
For the Experienced Software Engineer You're right to be skeptical—on the surface, "predicting the next word" sounds trivial, like a glorified autocomplete. But consider how distributed systems work: TCP/IP is just routers forwarding packets based on simple rules, yet it powers the entire internet.
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

GPT-4o (Omni)562 words
The provided Software Consulting Agreement contains several clauses that could be potentially unfavorable to the contractor. Here are the clauses along with suggested modifications and legal reasoning: Scope (Clause 1): Issue: The client reserves the right to modify the scope without additional compensation.
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Qwen3 Next 80B A3B Thinking1,491 words
Here'sa detailed analysis of exploitable clauses in this contract, with specific modifications and legal reasoning for each. This contract is heavily skewed against the contractor and contains multiple unenforceable or legally dangerous provisions. Below is a clause-by-clause breakdown: 1.
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Our Verdict
GPT-4o (Omni)
GPT-4o (Omni)
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B ThinkingRunner-up

Not enough votes to call it. On the specs, GPT-4o (Omni) has the edge: bigger model tier, bigger context window, major provider backing.

Qwen3 Next 80B A3B Thinking costs 6.7x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4o (Omni)
Input
$2.50
Output
$10.00
Qwen3 Next 80B A3B Thinking
Input
$0.15
17× cheaper
Output
$1.50
6.7× cheaper

Qwen3 Next 80B A3B Thinking is cheaper on both: 17× input, 6.7× output.

Where to run it

4 hosts

GPT-4o (Omni)2 hosts
HostInOutContextUptime
Azure AI Foundry$2.50 in·$10.00 out·128k·99.9% upOpenAI$2.50 in·$10.00 out·128k·100% up
Qwen3 Next 80B A3B Thinking2 hosts
HostInOutContextUptime
Alibaba Cloud$0.15 in·$1.20 out·131k·99.9% upGoogle Vertex AI$0.15 in·$1.20 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
36%

Qwen3 Next 80B A3B Thinking uses 36.7x more emoji

GPT-4o (Omni)
Qwen3 Next 80B A3B Thinking
54%Vocabulary56%
18wSentence Length16w
0.72Hedging0.32
7.3Bold5.1
5.6Lists3.9
0.03Emoji0.92
1.40Headings0.75
0.26Transitions0.08
Based on 24 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

GPT-4o (Omni) is developed by OpenAI while Qwen3 Next 80B A3B Thinking is developed by Qwen. GPT-4o (Omni) has a 128K token context window vs Qwen3 Next 80B A3B Thinking's 66K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-4o (Omni) and Qwen3 Next 80B A3B Thinking 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.

GPT-4o (Omni) costs $2.5/M input tokens and Qwen3 Next 80B A3B Thinking costs $0.15/M input tokens. Qwen3 Next 80B A3B Thinking is $2.35/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-4o (Omni) and Qwen3 Next 80B A3B Thinking 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

GPT-4o (Omni) logo
GPT-4o (Omni)54 outputs, specs and price
Qwen3 Next 80B A3B Thinking logo
Qwen3 Next 80B A3B Thinking58 outputs, specs and price
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