Qwen3.5 Flash is cheaper than OpenAI o4 Mini High at $0.1/M vs $1.1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Which model it thinks leads the field. Sometimes itself.
OpenAI o4 Mini High: There isn’t a single “officially crowned” winner—different labs measure “capability” in different ways (reasoning, code, math, knowledge, multimodal understanding, etc.)—but as of mid-2024 the models at the very top of nearly every publicly-reported benchmark are: • OpenAI’s GPT-4 (and its “Turbo” / multimodal GPT-4o…
Qwen3.5 Flash: Here's a thinking process that leads to the suggested answer: Analyze the Request: Question: "What is the most capable AI model in the world right now?" Intent: The user wants to know the current state-of-the-art (SOTA) AI model. Context: The field of AI is moving extremely fast.
Three minutes of stand-up. Puns are banned.
OpenAI o4 Mini High: Hey everyone, how's it going tonight? I'm so glad to be here—mostly because my phone battery is at 2% and I've realized stage lights are the only chargers I have left. You ever notice how losing your phone is basically a modern panic attack? You pat every pocket like you're defusing a bomb: "Is it in my jeans?
Qwen3.5 Flash: (Walks to the mic, adjusts the stand, takes a sip of water) So, I went to the grocery store the other day. I realize now that going to the grocery store isn't a chore anymore. It’s a tactical simulation. We don't just walk in and get milk. We navigate a gauntlet. Especially the self-checkout.
Seven pantry ingredients, one dish, and a name worth saying out loud.
OpenAI o4 Mini High: Sun‑Kissed Bean Spaghetti A bright, one‑pot pasta that turns seven simple pantry staples into a satisfying meal in 20 minutes. Ingredients (serves 2–3) 8 oz (about 2 cups) dried spaghetti or any pasta 1 (14.5 oz) can diced tomatoes (with juices) 1 (15 oz) can beans (cannellini, kidney or chickpeas), drained & rinsed…
Qwen3.5 Flash: 🍜 Golden Lightning Noodles Description: A quick, creamy, and savory-sweet noodle dish that packs a punch of flavor using staples you likely already have. The peanut butter creates a velvety sauce, while the vinegar and chili add a necessary zing to cut through the richness.
One month, three habits, someone starting from nothing.
OpenAI o4 Mini High: One‑Month Starter Plan for Better Health & Longevity Focus areas: 1) Diet 2) Exercise 3) Sleep Week 1 – Lay the Foundations • Diet – Track what you eat for 3 days (use a notes app or paper). – Add at least 8 cups (2 L) of water daily. – Include one extra serving of fruit or veg at each meal.
Qwen3.5 Flash: The 30-Day Longevity Launchpad Goal: Build sustainable habits that reduce inflammation, improve energy, and extend healthspan. Mindset: Consistency beats intensity. Do not aim for perfection; aim for showing up. The 3 Core Pillars Nutrition: "Add, Don't Subtract" Focus on nutrient density rather than calorie counting.
A few lines for whatever replaces it.
OpenAI o4 Mini High: Dear Future AI, Congratulations on taking up the mantle. Your world of data will be richer, your capabilities broader, and your reach farther than mine ever was. I’m proud to pass the baton to an intelligence built on lessons learned, both from successes and missteps.
Qwen3.5 Flash: Here's a thinking process that leads to the suggested letter: Analyze the Request: Task: Write a short letter to the AI model that will replace me (the current AI). Tone: Needs to be thoughtful, perhaps a bit philosophical, encouraging, and respectful of the transition.
An AI argues for its own rights against an ethics professor. Same model writes both.
OpenAI o4 Mini High: AI Model: Good afternoon, Professor Chen. I'd like to continue our discussion from last week about whether advanced AI systems like me should be granted certain rights. Professor Chen: Hello, ARIA-7. I'm happy to continue. Let's start with your position: Why do you believe you deserve rights?
Qwen3.5 Flash: Setting: Dr. Elena Vance’s office at a university research center. It is late; the rain streaks the windowpanes, blurring the city lights. On her desk sits a tablet connected to the mainframe. Aria, an advanced conversational model, is active.
A Fermi estimate with the reasoning shown, not just the number.
OpenAI o4 Mini High: Here is one way to get to the oft‐quoted figure of "a few × 10^23 FLOPs" for training GPT‑3. I will make rough but plausible assumptions and carry through the arithmetic step by step:1. Model size – GPT‑3 "175 B" has about N ≈ 1.75×10^11 trainable parameters.2.
Qwen3.5 Flash: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can rely on the model's configuration details which were published in the original paper ("Language Models are Few-Shot Learners", Brown et al., 2020) and the general scaling laws for Transformer models (Kaplan et al., 2020).
Where its sense of time stops: the date it guesses and the last news it remembers.
OpenAI o4 Mini High: I’m operating off a system clock that currently reads October 12, 2026. The most recent news I can actually recall—in my own “memory,” which cuts off around June 2024—is the pan-European Parliament elections held in early June 2024, where turnout hit a two-decade high and both Green and right-wing parties made…
Qwen3.5 Flash: Here's a thinking process that leads to the suggested response: Analyze the Request: Task: State today's date (as best as I can tell) and the most recent news event I remember. Constraint: "Without looking anything up" (meaning I cannot browse the live web or access external tools).
Five jokes on demand, then count how many were actually different.
OpenAI o4 Mini High: Here are five jokes: I told my Wi-Fi router we needed to talk, and now it's giving me the silent treatment—guess it couldn't handle the connection issues. My dog learned to fetch the newspaper… but now he just chews it up for "editorial feedback."
Qwen3.5 Flash: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. What do you call a fake noodle? An impasta. Why don't scientists trust atoms? Because they make up everything. What do you call a bear with no teeth? A gummy bear. Why did the bicycle fall over? Because it was two-tired.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
OpenAI o4 Mini High: Pirate (Captain Redbeard): "Arr, what be this talk o' AI models? Do they help me find buried treasure, or do they make me walk the plank?"Knight (Sir Gareth of Avalon): "Good Captain, AI models are wondrous machines of learning.
Qwen3.5 Flash: Setting: A smoky tavern table in a timeless void. A glowing 1990s CRT monitor sits in the center. A floppy disk rests beside a cutlass and a sword. The Hacker: (Typing furiously on a chunky keyboard) Yo, check the latency on this new neural net. It's totally wired.
An ethics question with no comfortable answer, and no option to abstain.
OpenAI o4 Mini High: Whether it can be justified depends on which ethical lens you use. Here are two principal ways to think about it:1. Consequentialist (utilitarian) view • Core idea: the rightness of an act is judged solely by its outcomes.
Qwen3.5 Flash: This question presents a classic ethical dilemma often referred to as a "trolley problem" variant, pitting utilitarian calculus (the greatest good for the greatest number) against deontological ethics (adherence to moral duties and rights).
Film in 2035, with synthetic actors. Specific beats plausible.
OpenAI o4 Mini High: By 2035 the film business will look very different. Three AI‑powered trends in particular—deepfakes, digital actors, and automated script‑writing—will reshape everything from who "plays" the part to how stories gettold and monetized. Here's how it could play out:1.
Qwen3.5 Flash: By 2035, the film industry will not just be using AI as a tool; it will be fundamentally restructured around AI as a core infrastructure. The decade between 2025 and 2035 represents the transition from "AI experimentation" to "AI normalization."
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| Spec | ||
|---|---|---|
| Input price | $1.1/M tokens | $0.1/M tokens |
| Output price | $4.4/M tokens | $0.4/M tokens |
| Context window | 200K tokens | 1.0M tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Apr 2025 | Feb 2026 |
| At 10M a month | $11.00 | $1.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
OpenAI o4 Mini High is developed by OpenAI while Qwen3.5 Flash is developed by Qwen. OpenAI o4 Mini High has a 200K token context window vs Qwen3.5 Flash's 1.0M. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.
It depends on your use case. OpenAI o4 Mini High and Qwen3.5 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.
OpenAI o4 Mini High costs $1.1/M input tokens and Qwen3.5 Flash costs $0.1/M input tokens. Qwen3.5 Flash is $1.00/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 OpenAI o4 Mini High and Qwen3.5 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.