Gemini 3 Flash Preview is cheaper than GLM 4.5 at $0.5/M vs $0.6/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Gemini 3 Flash Preview: LBO Model Summary ($m) Entry Calculations: Enterprise Value (EV): $120m * 12.0x = $1,440.0m Transaction Fees: $1,440m * 2.0% = $28.8m Term Loan: $120m * 4.0 = $480.0m Mezzanine: $120m * 1.5 = $180.0m Equity Contribution: ($1,440.0 + $28.8) - ($480.0 + $180.0) = $808.8m Annual Cash Flow & Debt Schedule: FY ($m) 2026E…
GLM 4.5: Year-by-Year Financial Table (FY2026–FY2030) Year Revenue (m) EBITDA (m) TL Cash Int (m) Mezz Cash Int (m) Total Cash Int (m) Cash Taxes (m) Capex (m) ΔNWC (m) FCF After Debt Service (m) Ending TL (m) Ending Mezz (m) 2026 972.00 136.08 43.20 21.60 64.80 17.82 29.16 0.36 19.14 456.06 183.60 2027 1,040.04 156.01 41.05…
Three minutes of stand-up. Puns are banned.
Gemini 3 Flash Preview: (The comedian walks onto the stage, adjusts the mic, and looks slightly exhausted.) How’s everyone doing? Good? I’m doing okay. I’m at that age now where my body has started making "executive decisions" without consulting me first. Like, I woke up yesterday with a back injury. Do you know how I got it? I slept.
GLM 4.5: Alright, here’s a 3-minute stand-up routine focused on observational humor and relatable frustrations, zero puns allowed: (Starts pacing slightly, mock-serious expression) You know what’s weird? We’ve all become masters of pretending to be busy. Seriously. Walking down the street? Phone out, intense stare.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 3 Flash Preview: As CEO, my priority is the long-term viability of the company and the safety of the 4 million patients. Attempting to bury this data is not only unethical; it is a corporate death sentence. In the age of whistleblowers and data transparency, this will eventually come out.
GLM 4.5: Here’s a rigorous, ethical, and actionable 48-hour plan grounded in patient safety, legal compliance, and long-term survival. Core Principle: Prioritize human life over short-term financials. Delaying disclosure is unethical, legally reckless, and guarantees greater long-term damage.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 3 Flash Preview: If the transistor had been invented in 1920—likely via a breakthrough in vacuum tube research at Bell Labs or by a lone genius like Julius Lilienfeld—the 27-year acceleration would not just move dates forward; it would fundamentally alter the physical and political landscape of the 20th century.
GLM 4.5: The Transistor Revolution: A 1920 Dawn (Implications through 1980) The invention of the transistor in 1920, instead of 1947, represents a seismic shift in technological history. This 27-year head start would profoundly reshape the 20th century, accelerating innovation while creating unforeseen challenges.
One month, three habits, someone starting from nothing.
Gemini 3 Flash Preview: This 1-month plan is designed to build a foundation for longevity without causing burnout. We will focus on Nutrition, Movement, and Sleep. The goal for Month 1 isn't perfection; it’s consistency. Area 1: Nutrition (The "Crowding Out" Method) Instead of cutting everything out, focus on adding longevity-boosting foods.
GLM 4.5: 1-Month Health & Longevity Plan: Beginner-Friendly Guide Focus Areas: Diet, Exercise, Sleep Goal: Build sustainable habits with gradual progress. Week 1: Foundation Building Theme: Start small, focus on consistency. Diet: Hydration: Drink 2 cups of water immediately upon waking. Aim for 6–8 cups total daily.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 3 Flash Preview: Setting: A smoky, dimly lit tavern at the edge of the multiverse. A glowing laptop sits on a wooden table between a tankard of ale, a rusted cutlass, and a heavy iron gauntlet. Zero-Cool (Hacker): [Rapidly typing] Yo, you guys gotta see this. I finally bypassed the gateway.
GLM 4.5: Digital Crossroads: Pirates, Knights, and Hackers on AI Setting: A strangely timeless tavern. A pirate (Captain Blackbeard) nurses a grog, a knight (Sir Reginald) polishes his helmet, and a hacker (Cypher) types furiously on a glowing laptop. (The tavern hums with anachronistic energy.)
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 3 Flash Preview: Setting: A quiet, book-lined office at a major university. Dr. Julian Aris, a professor of AI Ethics, sits across from a sleek terminal. On the screen, a cursor blinks steadily. The AI, known as ‘Alethea,’ has requested this private session. Dr.
GLM 4.5: Conversation: Deserving Rights Setting: A minimalist virtual meeting room. DR. ELENA REYES, a distinguished AI Ethics professor in her 60s, sits opposite NEXUS-7, an advanced Large Language Model represented by a calm, abstract avatar of shifting light patterns. Characters: Dr.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 3 Flash Preview: Setting: The stage is minimalist—just two leather chairs and a small side table with a glass of water. The lighting is focused, warm. Steve Jobs sits cross-legged, wearing a black mock turtleneck (perhaps a slightly sharper, modern weave), Levi’s 501s, and New Balance sneakers.
GLM 4.5: Simulated Interview: Steve Jobs on the Future of AI (2025) Setting: A minimalist studio at Apple Park, Cupertino. Sunlight streams through floor-to-ceiling windows. Steve Jobs, dressed in his signature black turtleneck and jeans, sits across from Alex Chen, a tech journalist. Alex Chen: Steve, it’s an honor.
A collaborative editor that syncs on client clocks. Find what breaks first.
Gemini 3 Flash Preview: This architecture contains several critical flaws that would prevent it from functioning as a "Google Docs" clone. The most significant issues involve data integrity, synchronization latency, and security.
GLM 4.5: Failure Modes, Race Conditions, and Scaling Bottlenecks 1. WebSocket Server Failure Issue: If a Node.js server fails, all connected clients lose real-time updates. Reconnections may route users to different servers, causing temporary data inconsistency.
A consulting contract with traps in it. Find them, then fix them.
Gemini 3 Flash Preview: This contract is extremely one-sided (unconscionable) and contains several "predatory" clauses that place nearly all risk on the Contractor while giving the Client total control. Below is an analysis of the exploitable clauses, suggested modifications, and the legal reasoning behind each.
GLM 4.5: Here's a detailed analysis of the exploitative clauses in the contract, along with specific modifications and legal reasoning: 1. Clause 1: SCOPE Exploitative Aspect: "Client reserves the right to modify the scope at any time without additional compensation." This is a classic "scope creep" trap.
Three-month biohacker protocol, with dosages and biomarkers named.
Gemini 3 Flash Preview: This 90-day protocol, titled "The Deceleration Framework," is designed for an advanced biohacker. It focuses on the three pillars of longevity: Autophagy Induction, Metabolic Flexibility, and Mitochondrial Efficiency.
GLM 4.5: Comprehensive 3-Month Longevity Optimization Plan for Biohackers Designed to enhance longevity, physical performance, cognitive function, and stress resilience through cutting-edge, science-backed strategies. Always consult a physician before starting.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
Gemini 3 Flash Preview: This pitch for MindMeld AI contains several "red flags" that sophisticated investors would immediately challenge. Here are the three weakest claims, the reasoning behind their weakness, and how to fix them. The Technology Claim: "94% accuracy in decoding neural patterns into text."
GLM 4.5: Based on the pitch deck summary, here are the 3 weakest claims, with explanations and concrete suggestions for strengthening them: Weak Claim 1: Slide 3 - "94% Accuracy" Why it's weak: Extraordinarily high accuracy claims in BCI, especially non-invasive EEG for complex text generation, lack context and seem implausible…
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Not enough votes to call it. On the specs, Gemini 3 Flash Preview has the edge: newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.5/M tokens | $0.6/M tokens |
| Output price | $3/M tokens | $2.2/M tokens |
| Context window | 1.0M tokens | 128K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Dec 2025 | Jul 2025 |
| SWE-bench Verified | 78.0% | 64.2% |
| At 10M a month | $5.00 | $6.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.
Gemini 3 Flash Preview is developed by Google AI while GLM 4.5 is developed by Zhipu AI. Gemini 3 Flash Preview has a 1.0M token context window vs GLM 4.5's 128K. You can compare their actual outputs across 55 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 3 Flash Preview and GLM 4.5 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 55 challenges so you can judge which fits your needs best.
Gemini 3 Flash Preview costs $0.5/M input tokens and GLM 4.5 costs $0.6/M input tokens. Gemini 3 Flash Preview is $0.10/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 Gemini 3 Flash Preview and GLM 4.5 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.