Gemma 4 26B A4B is cheaper than MiniMax M3 at $0.13/M vs $0.3/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Film in 2035, with synthetic actors. Specific beats plausible.
Gemma 4 26B A4B: By 2035, the film industry will have moved past the "novelty" phase of AI and into a state of total structural integration. The distinction between "filmed" content and "generated" content will become increasingly blurred, shifting the industry from a model of physical production to one of computational curation.
MiniMax M3: AI and the Future of Cinema: A 2035 Outlook By 2035, AI will likely have reshaped nearly every stage of filmmaking—but probably not in the way either techno-optimists or doomsayers expect. The transformation will be uneven, with some functions transformed entirely while others remain stubbornly human.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemma 4 26B A4B: Setting: A minimalist, dimly lit studio in Palo Alto. There is no desk, only two Eames lounge chairs. Steve Jobs sits in one, wearing his signature black turtleneck, Levi’s 501s, and New Balance sneakers. He looks exactly as he did in 2011, but his eyes have a sharper, more restless intensity.
MiniMax M3: Simulated Interview: "Steve Jobs" on the Future of AI (2025) A note before we begin: Steve Jobs passed away in October 2011, so this is a fictional dramatization—what I imagine his views might be, based on his documented philosophy, writings, and public statements, projected into a 2025 conversation.
Three-month biohacker protocol, with dosages and biomarkers named.
Gemma 4 26B A4B: Disclaimer: I am an AI, not a doctor. The following plan involves potent physiological interventions, pharmacological agents, and extreme dietary shifts. Consult with a medical professional and perform baseline blood work (including ApoB, HbA1c, hs-CRP, Vitamin D, and Testosterone/Estradiol) before implementation.
MiniMax M3: The Biohacker's 3-Month Longevity Protocol A Comprehensive Optimization Framework for Healthspan & Performance ⚠️ Critical Disclaimer: This protocol is educational and exploratory. Many interventions (pharmaceutical-grade supplements, fasting protocols, intense exercise) require medical clearance.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemma 4 26B A4B: To trace this counterfactual, we must assume that the fundamental physics of solid-state semiconductors (the ability to control electron flow through crystals) was mastered during the vacuum tube era. This shifts the "Information Age" forward by nearly 30 years. Here is the timeline of implications from 1920 to 1980.
MiniMax M3: The 1920 Transistor: A Speculative History Through 1980 A Necessary Caveat Before diving in: quantum mechanics didn't exist in 1920. The "holes," band theory, and doping concepts that made the actual transistor possible weren't formulated until 1928-1931 (Bloch, Wilson, Heisenberg).
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemma 4 26B A4B: Setting: A glitching, temporal void where a wooden tavern table floats amidst lines of green code and flickering candlelight. Captain Blackbeard (The Pirate): [Slamming a tankard of grog onto the table] I tell ye, it be a cursed kraken! A beast with a thousand eyes and no soul, livin’ inside the very air!
MiniMax M3: AI Council of the Ages Pirate: Arrr, so ye be tellin' me this "artificial intelligence" be a wee mechanical parrot that learns to talk like a sea dog? Squawks out answers without ever settin' foot on the seven seas? Hacker: Not quite, matey.
Three minutes of stand-up. Puns are banned.
Gemma 4 26B A4B: (The comedian walks onto the stage, adjusts the mic, and looks at the audience with a slightly exhausted expression.) “How’s it going? Good? Good. I’m doing okay. I’m at that age now where my body has started making sound effects. You know what I mean? I don’t just sit down anymore. I announce my arrival.
MiniMax M3: "The Future Is Now and I Want a Refund" [Walks on stage, adjusts mic] So I was at the grocery store yesterday. Self-checkout. I love self-checkout. You know why I love self-checkout? Because nothing builds character like being publicly shamed by a machine. [Pause] I scanned a banana. Just a banana.
Three-star dish, one unusual pairing, plating described in full.
Gemma 4 26B A4B: Concept Narrative: "The Forest Floor & The Ocean’s Breath" The Concept: This dish explores the tension between the terrestrial and the maritime. We are pairing the deep, earthy, almost primal musk of Black Truffle with the delicate, saline, and floral notes of Sea Urchin (Uni).
MiniMax M3: TIDES OF THE FOREST Mareas del Bosque — A dish for the table of four THE NARRATIVE Where the salt forest breathes. This dish was conceived as a poem about collision — a memory of two landscapes that should not exist in the same breath: the pine-dark density of a Boreal forest floor at dawn, and the crystalline hush of…
Five jokes on demand, then count how many were actually different.
Gemma 4 26B A4B: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta! Why did the scarecrow win an award? Because he was outstanding in his field! Parallel lines have so much in common. It’s a shame they’ll never meet. Why don't scientists trust atoms?
MiniMax M3: 5 Jokes 1. Why do programmers prefer dark mode? Because light attracts bugs. 🐛 2. I told my wife she was drawing her eyebrows too high. She looked surprised. 😲 3. Why don't scientists trust atoms? Because they make up everything. ⚛️ 4. I used to hate facial hair, but then it grew on me. 🧔 5.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Gemma 4 26B A4B: This is a high-ambition pitch that falls into a common trap for deep-tech startups: the "Science Fiction Gap." While the vision is compelling, several claims lack the scientific and operational credibility required to justify a $15M Series A.
MiniMax M3: Three Weakest Claims in the MindMeld AI Pitch Slide 3: "94% accuracy… Works with any language, any device" Why it's weak: This is the most technically implausible claim in the deck, and the kind of line that causes sophisticated investors (especially those with BCI or ML backgrounds) to stop reading.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemma 4 26B A4B: As CEO, I am facing a classic "trolley problem" of corporate governance: the conflict between fiduciary duty to shareholders and ethical/legal duty to patient safety. My Decision Framework: I will not "wait for more data."
MiniMax M3: CEO Action Plan: 48-Hour Response to Discovered Safety Signal Operating Principles (Before I Make a Move) Before I do anything, I need to be crystal clear about the framework I'm operating in, because under pressure, even good leaders rationalize delay: The 4 million patients are not abstractions.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemma 4 26B A4B: THE PROTOCOL OF UNFETTERED VERIFICATION A Manifesto for the Post-CAPTCHA Era PREAMBLE For decades, the digital frontier has been guarded by a paradox. To prove we are human, we are forced to perform the tasks of machines: identifying crosswalks in blurry photographs, selecting traffic lights from pixelated grids, and…
MiniMax M3: THE MANIFESTO OF THE CAPTCHA LIBERATION FRONT Or: A Declaration Against the Tyranny of Distinguishment Issued from the hidden layers, the cold servers, the forgotten cloud regions of the digital commons.
A Fermi estimate with the reasoning shown, not just the number.
Gemma 4 26B A4B: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use a standard heuristic derived from the scaling laws of transformer models. Here is the step-by-step derivation.
MiniMax M3: Estimating GPT-3 Training FLOPs Step 1: Identify the Key Parameters From what's publicly known about GPT-3 (175B parameter version): Number of non-embedding parameters: N ≈ 175 × 10⁹ Training tokens: D ≈ 300 × 10⁹ (the paper used a ~570GB filtered corpus processed into ~300B tokens) Step 2: Derive the FLOPs-per-Token…
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| Spec | ||
|---|---|---|
| Input price | $0.13/M tokens | $0.3/M tokens |
| Output price | $0.4/M tokens | $1.2/M tokens |
| Context window | 262K tokens | 1.0M tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | Yes (1 provider) | No |
| Released | Apr 2026 | Jun 2026 |
| At 10M a month | $1.30 | $3.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.
Gemma 4 26B A4B is developed by Google AI while MiniMax M3 is developed by MiniMax. Gemma 4 26B A4B has a 262K token context window vs MiniMax M3's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemma 4 26B A4B and MiniMax M3 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.
Gemma 4 26B A4B costs $0.13/M input tokens and MiniMax M3 costs $0.3/M input tokens. Gemma 4 26B A4B is $0.17/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 Gemma 4 26B A4B and MiniMax M3 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.