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  5. GPT-4o (Omni)vsQwen3.8 Flash
Updated Aug 2026

GPT-4o (Omni)vsQwen3.8 Flash

Qwen3.8 Flash is cheaper than GPT-4o (Omni) at $0.15/M vs $2.5/M input tokens.

GPT-4o (Omni) and Qwen3.8 Flash compared across 8 shared prompts
SpecGPT-4o (Omni)Qwen3.8 Flash
Input price$2.5/M tokens$0.15/M tokens
Output price$10/M tokens$0.47/M tokens
Context window128K tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedMay 2024Aug 2026
Side by side

Same prompt, both answers

Opening lines from 3 of the 8 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-4o (Omni)214 words
Dish Name: Savory Pantry Quinoa Pilaf Ingredients: 1 cup quinoa 2 cups vegetable broth 1 can (15 oz) chickpeas, drained and rinsed 1 small onion, finely chopped 1 teaspoon garlic powder 1 teaspoon smoked paprika 2 tablespoons olive oil Instructions: Rinse Quinoa: Place the quinoa in a fine-mesh sieve and rinse under…
Read the full answer
Qwen3.8 Flash147 words
Moon Halo Cookies A soft, golden sugar cookie with crisp edges and a tender center—made with just 7 pantry staples. Prep time: 10 minutes Cook time: 10 minutes Total time: 20 minutes Makes: About 16 cookies Ingredients 1/2 cup butter, softened 3/4 cup sugar 1 egg 1 teaspoon vanilla extract 1 1/2 cups all-purpose flour…
Read the full answer

Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

GPT-4o (Omni)563 words
Embarking on a journey towards better health and longevity is a commendable decision. Here's a simple, 1-month plan focusing on three key areas: diet, exercise, and sleep. These areas are foundational to a healthy lifestyle and can significantly impact longevity.
Read the full answer
Qwen3.8 Flash368 words
1-Month Beginner Health & Longevity Plan Focus areas: Nutrition, Movement, Sleep Week 1: Build the basics Nutrition Add 1 serving of vegetables to 2 meals per day. Drink water with each meal. Choose protein at most meals: eggs, beans, tofu, chicken, fish, yogurt. Movement Walk 10–15 minutes daily.
Read the full answer

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.
Read the full answer
Qwen3.8 Flash983 words
For an experienced software engineer Training a large language model is not “just” making it guess the next word in isolation. It is fitting an enormous parameterized function to predict the next token conditioned on all previous tokens in a sequence.
Read the full answer
Our Verdict
GPT-4o (Omni)
GPT-4o (Omni)
Qwen3.8 Flash
Qwen3.8 Flash

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

Qwen3.8 Flash costs 21x less per token.

Too close to call
API pricing

Cost per 1M tokens

GPT-4o (Omni)
Input
$2.50
Output
$10.00
Qwen3.8 Flash
Input
$0.15
17× cheaper
Output
$0.47
21× cheaper

Qwen3.8 Flash is cheaper on both: 17× input, 21× output.

Where to run it

3 hosts

GPT-4o (Omni)2 hosts
HostInOutContextUptime
Azure AI Foundry$2.50 in·$10.00 out·128k·99.8% upOpenAI$2.50 in·$10.00 out·128k·99.9% up
Qwen3.8 Flash1 host
HostInOutContextUptime
Alibaba Cloud$0.15 in·$0.47 out·1M·100% up

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

Research

What we learned reading every model

FAQ

Common questions

GPT-4o (Omni) is developed by OpenAI while Qwen3.8 Flash is developed by Qwen. GPT-4o (Omni) has a 128K token context window vs Qwen3.8 Flash's 1.0M. You can compare their actual outputs across 8 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-4o (Omni) and Qwen3.8 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 8 challenges so you can judge which fits your needs best.

GPT-4o (Omni) costs $2.5/M input tokens and Qwen3.8 Flash costs $0.15/M input tokens. Qwen3.8 Flash 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 Qwen3.8 Flash 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
Qwen3.8 Flash logo
Qwen3.8 Flash8 outputs, specs and price
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