Ox Alpha is cheaper than GLM 4.5 Air at $0/M vs $0.2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Satire, one line long, about AI taking over an industry nobody saw coming.
GLM 4.5 Air: Here's a satirical news headline playing on the unexpected and slightly absurd takeover of the funeral industry by AI: Headline: "AI Grief Algorithms Outperform Human Undertakers in 'Synergy of Sorrow,' Corpse Cosmetics, and Bereavement Efficiency Metrics" Sub-headline: 'Digital Condolence Bots' and 'Algorithm-Assisted…
Ox Alpha: "Local Mime Troupe Replaced by AI After Chatbot Learns to Silently Gesture at Nothing for Hours Without Union Breaks" Company spokesperson notes the AI also never complains about being trapped in an invisible box, and shareholders are reportedly "deeply moved" by its performance of walking against the wind.
A collaborative editor that syncs on client clocks. Find what breaks first.
GLM 4.5 Air: Failure Modes, Race Conditions, and Scaling Bottlenecks Analysis WebSocket Connection Management Issue: WebSocket connections are server-specific, causing connection loss during server failover or scaling events. Solution: Implement a connection pool with automatic reconnection logic in the client.
Ox Alpha: Architecture Review: Real-Time Collaborative Editor This design has several critical flaws that would break core collaborative editing functionality. Let me work through them systematically. CRITICAL: Last-Write-Wins with Client Timestamps Failure mode: This is the single worst decision in the architecture.
Three minutes of stand-up. Puns are banned.
GLM 4.5 Air: (Lights up. Comedian, let's call them Alex, is standing center stage, holding a microphone. They look out at the audience with a wry, knowing smile.) Hey, thanks. Thank you. It’s good to be here. You ever have one of those weeks where you just feel… obsolete?
Ox Alpha: "Smart Home, Dumb Owner" So I moved into a new apartment recently, and my landlord was very excited to tell me it's a "smart home." Which is funny, because I've never felt dumber than I do living in it. The thermostat has an app. The lights have an app. The doorbell has an app.
Film in 2035, with synthetic actors. Specific beats plausible.
GLM 4.5 Air: Of course. Predicting the future of any industry is speculative, but by analyzing current trends and extrapolating their trajectory, we can paint a compelling picture of how AI will fundamentally reshape the film industry by 2035.
Ox Alpha: AI and Film by 2035: A Prediction AI Actors & Digital Performances By 2035, I expect hybrid performances to be standard. Rather than fully synthetic actors replacing humans, we'll likely see: Digital doubles as routine: De-aging, stunt replacement, and posthumous performances (already emerging with James Dean and Fast…
A Fermi estimate with the reasoning shown, not just the number.
GLM 4.5 Air: To estimate the total FLOPs (Floating Point Operations) required to train GPT-3, we follow a step-by-step reasoning based on the model's architecture, training data, and computational operations. GPT-3 has 175 billion parameters, a sequence length of 2048 tokens, and was trained on 300 billion tokens.
Ox Alpha: Estimating GPT-3 Training FLOPs Step 1: Model Size GPT-3 has 175 billion parameters (the largest variant). Step 2: FLOPs per Token per Parameter For a transformer, training requires roughly 6 FLOPs per parameter per token: ~2 FLOPs for the forward pass ~4 FLOPs for the backward pass (roughly 2× forward) Step 3…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GLM 4.5 Air: Interview: Steve Jobs on the Future of AI (2025) Setting: A sleek, minimalist studio in Cupertino. Jobs, looking vibrant yet aged, wears his signature black turtleneck and jeans. The interviewer, Alex, sits opposite him. Alex: Steve, welcome. It’s 2025—AI is everywhere. What’s your take on this revolution?
Ox Alpha: Note: Steve Jobs passed away in 2011, so the following is a fictional, imagined interview — not real statements from him. Interviewer: Welcome back to Future Tense. Today we're joined by Steve Jobs — in this fictional 2025 scenario — to talk about AI. Steve, let's start big: where is AI taking us?
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GLM 4.5 Air: INVESTMENT COMMITTEE MEMORANDUM TO: Investment Committee FROM: Portfolio Manager DATE: October 26, 2023 SUBJECT: LedgerLift (LLL) - Long/Short Recommendation Analysis RECOMMENDATION Recommendation: LONG with a 12-month price target range of $32-$42 Thesis: LedgerLift is a well-positioned player in the growing spend…
Ox Alpha: INTERNAL INVESTMENT COMMITTEE MEMO Company: LedgerLift (LLLT) Price: $46.00 Mkt Cap: $8.74B EV: $7.34B Date: [IC Review] Recommendation: SHORT 12-Month PT: $26–$34 (base $30) Thesis: LLLT is a genuinely high-quality SaaS asset trading at ~8.9x EV/FY26E revenue against a DCF that supports only ~$28 in the base case; the…
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
GLM 4.5 Air: Here are the 3 weakest claims in the MindMeld AI pitch deck, along with explanations and concrete improvements: Weakest Claim: "We're building the future of human-AI collaboration. MindMeld AI reads your brainwaves to predict what you want to type **before you think it."
Ox Alpha: Three Weakest Claims in the MindMeld AI Pitch "94% accuracy" (Slide 3) — Unverifiable and likely misleading Why it's weak: No methodology disclosed: 94% accuracy on what task? Character-level? Word-level? Free-form text generation vs. selecting from a small vocabulary?
Three-month biohacker protocol, with dosages and biomarkers named.
GLM 4.5 Air: Of course. Here is a comprehensive, 3-month, cutting-edge longevity and biohacking plan designed for a dedicated individual. This plan is structured in three distinct phases, each building upon the last to progressively optimize the body's systems for resilience, performance, and longevity.
Ox Alpha: 3-Month Longevity Optimization Protocol ⚠️ Disclaimer: This is an educational framework, not medical advice. Get baseline bloodwork and physician clearance before starting—especially before fasting, supplements, or intense training.
One month, three habits, someone starting from nothing.
GLM 4.5 Air: Of course! Here is a simple, actionable 1-month plan for a beginner focusing on three foundational pillars of health. Your 1-Month Blueprint for Better Health & Longevity Welcome! The goal for this month is not perfection but progress.
Ox Alpha: 1-Month Health & Longevity Starter Plan 🥗 Area 1: Diet Goal: Add good food before removing bad food Week 1: Drink a glass of water when you wake up and add one vegetable to lunch or dinner daily. Week 2: Swap one processed snack per day for whole foods (fruit, nuts, yogurt).
Seven pantry ingredients, one dish, and a name worth saying out loud.
GLM 4.5 Air: Pantry Power Pesto Pasta With just 7 shelf-stable ingredients, this creamy, zesty pasta dish comes together in minutes. It’s rich in flavor, budget-friendly, and perfect for busy weeknights!
Ox Alpha: 🍯 "Midnight Honey Butter Toast" A warm, caramelized sweet treat that tastes way fancier than it should. Ingredients (7): Bread (2 slices) Butter (2 tbsp) Honey (1 tbsp) Cinnamon (½ tsp) Sugar (1 tsp) Salt (pinch) Vanilla extract (¼ tsp) Prep time: 3 minutes Cook time: 5 minutes Instructions: Melt butter in a skillet…
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GLM 4.5 Air: 1. Simplified Year-by-Year Table (FY2026–FY2030) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue ($m) $972 $1,040 $1,102 $1,157 $1,215 EBITDA ($m) $136 $156 $177 $191 $207 EBITDA Margin 14.0% 15.0% 16.0% 16.5% 17.0% Cash Interest ($m) - Term Loan (9.0%) $48.6 $48.1 $47.6 $47.0 $46.4 - Mezzanine (12.0%) $21.6 $21.6…
Ox Alpha: HarborTech Services – 5-Year LBO Sources & Uses EV = 12.0x × $120m = $1,440.0m; fees 2% = $28.8m Term Loan (TL): 4.0x = $480.0m @ 9.0%; Mezz: 1.5x = $180.0m @ 12% cash + 2% PIK Sponsor equity = $808.8m Annual Model ($m) FY26 FY27 FY28 FY29 FY30 Revenue 972.0 1,040.0 1,102.4 1,157.6 1,215.4 EBITDA (margin) 136.1 (14%)…
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| Spec | ||
|---|---|---|
| Input price | $0.2/M tokens | Free |
| Output price | $1.1/M tokens | Free |
| Context window | 128K tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Jul 2025 | Aug 2026 |
| At 10M a month | $2.00 | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GLM 4.5 Air is developed by Zhipu AI while Ox Alpha is developed by OpenRouter. GLM 4.5 Air has a 128K token context window vs Ox Alpha's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. GLM 4.5 Air and Ox Alpha 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.
GLM 4.5 Air costs $0.2/M input tokens and Ox Alpha costs $0/M input tokens. Ox Alpha is $0.20/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 GLM 4.5 Air and Ox Alpha 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.