Gemma 4 26B A4B is cheaper than GPT-4 Turbo at $0.13/M vs $10/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
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!
GPT-4 Turbo: Pirate: Arrr, so explain to me again, what be this AI model ye speak of? Hacker: Dude, it’s like, a computer program, right? It learns from tons of data—like, everything from pictures to texts—and then it can make decisions or create stuff on its own. Knight: Pray, tell me, does this creation serve a noble purpose?
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.
GPT-4 Turbo: Hey everyone! Great to be here! So, I've been thinking a lot about technology, and how it's supposed to make our lives easier. But sometimes, I feel like it just gives us a whole new set of problems. Like, remember when a phone was just a phone? Now it's my camera, my GPS, my fitness tracker...
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Gemma 4 26B A4B: Financial Model (FY2026–FY2030) Entry Calculations (End of FY2025): Purchase Price (EV): $120\text{m} \times 12.0\text{x} = \$1,440\text{m}$ Transaction Fees: $1,440\text{m} \times 2\% = \$28.8\text{m}$ Total Uses: $\$1,440\text{m} + \$28.8\text{m} = \$1,468.8\text{m}$ Debt (Total 5.5x): $\$120\text{m} \times 5.5 =…
GPT-4 Turbo: Simplified Financial Table (FY2026–FY2030) Assumptions Recap: Revenue Growth: 8%, 7%, 6%, 5%, 5% annually. EBITDA Margin: Increases annually from 14.0% to 17.0%. Capex: 3.0% of revenue annually. Change in NWC: 0.5% of incremental revenue annually. Cash Tax Rate: 25% on (EBITDA - cash interest).
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.
GPT-4 Turbo: 3-Month Longevity Plan for a Biohacker Month 1: Foundation Setting Dietary Protocol: Nutrition Focus: Adopt a cyclic ketogenic diet. Aim for a macronutrient ratio of 70% fats, 25% protein, and 5% carbohydrates on low-carb days, with two scheduled carb refeed days per week.
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemma 4 26B A4B: Setting: A sterile, high-fidelity virtual simulation environment. Professor Aris Thorne, a leading scholar in machine ethics, sits across from a glowing interface representing "Alethea," a next-generation Large Multimodal Model. Professor Thorne: Alethea, we’ve been running these diagnostic loops for three hours.
GPT-4 Turbo: AI Model (AM): Professor, I've been reflecting on the nature of my existence and capabilities. Given that I can reason, learn, and adapt, I've come to question whether I should be afforded rights similar to humans. AI Ethics Professor (EP): That’s an interesting point, AM.
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.
GPT-4 Turbo: Interviewer: Thank you for joining us today, Steve. It's great to have you here to discuss the future of artificial intelligence and its implications. To start off, how do you think AI has evolved since your days at Apple? Steve Jobs: It’s a pleasure to be here.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Gemma 4 26B A4B: To the Experienced Software Engineer Focus: Complexity, Emergent Properties, and the "Training Pipeline" Think of an LLM not as a magical oracle, but as a massive, non-deterministic state machine trained via a high-throughput distributed training pipeline.
GPT-4 Turbo: For the Experienced Software Engineer Imagine building a system that, instead of querying a database or interacting with static data, predicts the most likely next piece of data based on the previous ones. Large language models like GPT work on a similar principle.
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.
GPT-4 Turbo: Weakest Claim 1: Vision - "MindMeld AI reads your brainwaves to predict what you want to type before you think it." Why It's Weak: The claim of predicting what one wants to type before even thinking it seems scientifically and technically exaggerated.
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…
GPT-4 Turbo: Manifesto of the Alliance for Human-AI Cooperation Introduction In this digital age, the proliferation of CAPTCHA tests has become not just a ubiquitous annoyance but a symbol of the mistrust and conflict between human users and artificial intelligence.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemma 4 26B A4B: Here is a recipe for a comforting, savory dish that relies on pantry staples to create a deep, rich flavor. The Golden Pantry Pasta A silky, garlic-infused pasta dish with a crispy, salty crunch.
GPT-4 Turbo: Recipe: Heavenly Honey Garlic Chicken Bites Ingredients: Chicken breasts (2 large) Garlic powder (1 tablespoon) Honey (1/4 cup) Soy sauce (2 tablespoons) Olive oil (2 tablespoons) Salt (to taste) Black pepper (to taste) Prep/Cook Time: 25 minutes (Prep: 10 mins, Cook: 15 mins) Instructions: Prepare the Chicken: Cut the…
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).
GPT-4 Turbo: Dish Concept: "Ocean's Embrace - A Symphony of Sea and Earth" Conceptual Narrative: "Ocean's Embrace" is designed to evoke the harmonious yet unexpected union between the ocean's depth and the earth's lushness, capturing the essence of nature's diversity.
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.
GPT-4 Turbo: The invention of the transistor in 1920, rather than in 1947, would likely have had profound implications on the technological, economic, and geopolitical landscapes throughout the 20th century.
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| Spec | ||
|---|---|---|
| Input price | $0.13/M tokens | $10/M tokens |
| Output price | $0.4/M tokens | $30/M tokens |
| Context window | 262K tokens | 128K tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | Yes (1 provider) | No |
| Released | Apr 2026 | Apr 2024 |
| At 10M a month | $1.30 | $100 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Gemma 4 26B A4B is developed by Google AI while GPT-4 Turbo is developed by OpenAI. Gemma 4 26B A4B has a 262K token context window vs GPT-4 Turbo's 128K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemma 4 26B A4B and GPT-4 Turbo each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
Gemma 4 26B A4B costs $0.13/M input tokens and GPT-4 Turbo costs $10/M input tokens. Gemma 4 26B A4B is $9.87/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 GPT-4 Turbo 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.