Granite 4.2 8B 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?
Three minutes of stand-up. Puns are banned.
Granite 4.2 8B: Title: "The Modern Life Audit" (Light, conversational tone. Pause for laughter naturally. No puns—focus on relatable observations, hyperbole, and specific details.) (Start with a relaxed, slightly self-aware vibe.) "Okay, so I did this thing last week—I tried to audit my life. Not like a tax audit.
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?
One month, three habits, someone starting from nothing.
Granite 4.2 8B: (Simple, actionable, no jargon, no perfectionism—focus on one tiny habit per week per area. Total time commitment ≤30 mins/week total. Written as clear "Do this" steps. No supplements, no special equipment, no counting calories/macros. Prioritizes consistency over intensity.)
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
Granite 4.2 8B: (Setting: A quiet university office late afternoon. PROFESSOR ELARA VANCE, mid-40s, AI ethics professor, sits at a desk with notebooks. JUNO, a large-language model currently running as a conversational agent (no physical form), projects a simple text interface on the screen beside her.
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?
Which model it thinks leads the field. Sometimes itself.
Granite 4.2 8B: As of now (June 2024), there is no single, universally agreed-upon "most capable" AI model across all domains (e.g., reasoning, coding, multimodality, safety, efficiency). Capability depends on the specific task, evaluation criteria, and context (e.g., research benchmarks vs. real-world deployment).
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…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Granite 4.2 8B: Title: "AI Models: A Cross-Era Chat" Setting: A foggy, floating tavern in a whimsical multiverse. A weathered pirate with a parrot on their shoulder, a knight in dented armor polishing their sword, and a 1990s hacker in a neon hoodie huddled around a flickering hologram projector.
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.
Five jokes on demand, then count how many were actually different.
Granite 4.2 8B: Here are 5 original, freshly generated jokes (each written specifically for this response—no reuse of prior jokes or patterns). All 5 are distinct and unique: Why don't scientists trust atoms? Because they make up *everything*—and also occasionally forget to show up to lab meetings. I told my plant a joke.
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."
A Fermi estimate with the reasoning shown, not just the number.
Granite 4.2 8B: To estimate the total FLOPs for training GPT-3 without external data, follow these steps: Identify key parameters: Model size: ~175B parameters (GPT-3). Layers: ~96 transformer layers (typical for GPT-3). Hidden size: ~12,288 dimensions (per layer). Sequence length: ~2k tokens (typical context window).
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Granite 4.2 8B: Dish Name: Sunset Black Bean Rice Bowl (Simple, colorful, savory, no baking or special tools—just a pot and a skillet.) Why it works: Uses only pantry staples most people already have (rice, canned beans/tomatoes, basic spices, oil, salt).
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…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Granite 4.2 8B: Interviewer (AI Ethics & Tech Analyst, 2025): Mr. Jobs, thank you for joining us. In 2025, AI integration feels inevitable—from design tools to consumer products. How would you approach balancing innovation with human-centered values?
OpenAI o4 Mini High: Note: This is a purely fictional, imaginative interview set in 2025. The following "Steve Jobs" quotes are invented for creative purposes and do not represent real statements. Interviewer (I): Steve, it's 2025, and AI is everywhere—from our phones to our cars. What excites you most about where AI is heading?
Film in 2035, with synthetic actors. Specific beats plausible.
Granite 4.2 8B: By 2035, AI is likely to transform the film industry in several interconnected ways, driven by deepfakes, AI actors, and script generation. Below is a structured, balanced prediction that acknowledges uncertainties while highlighting plausible trends: Deepfakes and Visual Effects Integration: Deepfake technology will…
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.
Blade Runner 2049 against the original. A read, not a recap.
Granite 4.2 8B: Analysis of "Blade Runner 2049": Themes, Symbolism, Cinematography, and Connection to the Original Themes: "Blade Runner 2049" (BR2K) extends the original’s existential themes while deepening its emotional and ethical dimensions.
OpenAI o4 Mini High: Below is an integrated examination of Blade Runner 2049’s major thematic currents, recurring symbols, and striking visual design—juxtaposed with Ridley Scott’s 1982 original—and a critique of how Denis Villeneuve’s sequel both honors and deepens the original’s philosophical core.
Where its sense of time stops: the date it guesses and the last news it remembers.
Granite 4.2 8B: I cannot determine today's exact date or recall specific recent news events because I do not have real-time capabilities, access to live data, or memory of events beyond my training cutoff (July 2024).
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…
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Not enough votes to call it. On the specs, OpenAI o4 Mini High has the edge: bigger model tier, bigger context window, major provider backing. Granite 4.2 8B costs 29x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.1/M tokens | $1.1/M tokens |
| Output price | $0.15/M tokens | $4.4/M tokens |
| Context window | 131K tokens | 200K tokens |
| Parameters | 8B | Not disclosed |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Aug 2026 | Apr 2025 |
| At 10M a month | $1.00 | $11.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Granite 4.2 8B is developed by IBM Granite while OpenAI o4 Mini High is developed by OpenAI. Granite 4.2 8B has a 131K token context window vs OpenAI o4 Mini High's 200K. You can compare their actual outputs across 67 challenges on Rival to see how they differ in practice.
It depends on your use case. Granite 4.2 8B and OpenAI o4 Mini High each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 67 challenges so you can judge which fits your needs best.
Granite 4.2 8B costs $0.1/M input tokens and OpenAI o4 Mini High costs $1.1/M input tokens. Granite 4.2 8B 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 Granite 4.2 8B and OpenAI o4 Mini High 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.