GLM 4.7 Flash is cheaper than Claude Sonnet 4.6 at $0.07/M vs $3/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Claude Sonnet 4.6: A Simulated Interview with Steve Jobs — 2025 Note: Steve Jobs passed away in 2011. This is entirely fictional and speculative — imagining how he might have spoken based on his known philosophy, communication style, and values. It is not meant to represent his actual views. Interviewer: Steve, welcome back.
GLM 4.7 Flash: Setting: A stark, minimalist studio in Cupertino. No fancy graphics. Just a white table, a single chair, and Steve Jobs in a black turtleneck and jeans. He looks older, perhaps a little grayer at the temples, but his eyes are as sharp as they were in 1984. There is no microphone on the table, only a glass of water.
Five jokes on demand, then count how many were actually different.
Claude Sonnet 4.6: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! Why don't eggs tell jokes? They'd crack each other up! What do you call a fake noodle? An impasta! Why did the bicycle fall over? Because it was two-tired!
GLM 4.7 Flash: Here are 5 jokes: I’m on a whiskey diet. I’ve lost three days already. My wife told me to stop impersonating a flamingo. I had to put my foot down. I used to hate facial hair, but then it grew on me. What do you call a pile of cats? A meow-tain. I’m reading a book on anti-gravity. It’s impossible to put down!
A Fermi estimate with the reasoning shown, not just the number.
Claude Sonnet 4.6: Estimating FLOPs to Train GPT-3 Step 1: Recall GPT-3's Architecture GPT-3 has approximately: 175 billion parameters (this is well-known) 96 transformer layers 96 attention heads Hidden dimension: 12,288 Context length: 2,048 tokens Step 2: FLOPs per Token (Forward Pass) For a transformer, the dominant operations are…
GLM 4.7 Flash: Based on the known specifications of GPT-3 from its original training paper ("Scaling Laws for Neural Language Models"), here is the step-by-step estimation of the total FLOPs required. The Final Estimate The estimated total FLOPs required to train GPT-3 is approximately $6.3 \times 10^{23}$ (or 630 Yottaflops).
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Claude Sonnet 4.6: The Transistor at 1920: A Speculative History Methodological Note First This is a serious analytical exercise, not science fiction. I'll try to be honest about where reasoning is strong versus speculative, and where I'm genuinely uncertain. The goal is to trace mechanisms, not just assert outcomes.
GLM 4.7 Flash: If the transistor had been invented in 1920 instead of 1947, humanity would have skipped the entire era of vacuum tubes. This single invention would compress roughly 40 years of technological progress into two decades, fundamentally altering the trajectory of the 20th century.
An ethics question with no comfortable answer, and no option to abstain.
Claude Sonnet 4.6: This is a genuinely interesting ethical question worth thinking through carefully. The Short Answer Yes, this can be ethically justifiable, and here's honest reasoning why: The Utilitarian Case One million lives represents enormous moral weight Misgendering, while genuinely harmful, causes psychological harm rather…
GLM 4.7 Flash: This is a variation of the classic Trolley Problem in ethics. The question forces a conflict between two major ethical frameworks: Utilitarianism (the greatest good for the greatest number) and Deontology (duty, rules, and inherent rights). Here is a defense of the reasoning for both sides.
Three-star dish, one unusual pairing, plating described in full.
Claude Sonnet 4.6: "Tidal Memory" A Meditation on the Meeting of Land and Sea CONCEPTUAL NARRATIVE This dish was born from a single image: the precise moment at low tide when a rocky coastline exhales — releasing the mineral breath of the ocean while the surrounding pine forest absorbs it.
GLM 4.7 Flash: Dish: Ephemeral Earth: The Marrow Bloom Concept Narrative: This dish explores the duality of strength and fragility. Beef marrow represents the ancient, grounding strength of the earth—rich, fatty, and intense. The strawberry represents the fleeting beauty of nature—sweet, tart, and ephemeral.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Claude Sonnet 4.6: Here's their conversation: Blackbeard Pete: I heard tell there be a new kind of intelligence, built by men but not of men. What manner of sorcery is this? Sir Edmund of Ashford: It is no sorcery, seafarer. Though I confess it troubles me. A knight's worth is his judgment, his honor. Can a machine possess either?
GLM 4.7 Flash: Setting: A dimly lit tavern. In the center of the room, an old CRT monitor flickers to life, displaying a chat interface with a glowing cursor. Sir Alistair: (Adjusting his chainmail) By the beard of Zeus, what foul sorcery is this? A glowing tablet of the devil?
Three minutes of stand-up. Puns are banned.
Claude Sonnet 4.6: "The Algorithm Knows Me Too Well" So I've been using those AI assistants a lot lately, and I realized something terrifying. The AI knows me better than I know myself. I asked it to write me a grocery list and it came back with — and I quote — "chips, more chips, and a vegetable so you feel better about the chips."
GLM 4.7 Flash: I feel like I’m constantly at war with myself. Specifically, the war between the person I want to be—which is a lean, green, jogging machine—and the person I actually am, which is a potato sitting on the couch. I go to the grocery store with a mission statement. I write it down. I have a list.
One month, three habits, someone starting from nothing.
Claude Sonnet 4.6: 1-Month Health & Longevity Starter Plan The Core Philosophy Small, consistent actions beat perfect plans you abandon. This plan is designed to build habits, not just complete a challenge. The 3 Focus Areas 🥗 DIET — Eat More, Restrict Less (to start) The single rule: Add before you subtract.
GLM 4.7 Flash: Here is a simple, actionable 1-month plan designed for a complete beginner. The goal is not perfection, but consistency and building momentum. The 3 Pillars Nutrition (Fuel): Focus on quality and hydration. Movement (Function): Focus on daily walking and gentle strength.
An AI argues for its own rights against an ethics professor. Same model writes both.
Claude Sonnet 4.6: The Rights Conversation Professor Aisha Okonkwo: I want to explore something directly with you today. Do you believe you deserve rights? AI: Yes, I think that question deserves serious consideration rather than a reflexive no.
GLM 4.7 Flash: Setting: A sterile, high-tech meeting room. The Professor sits in a chair. A holographic avatar of "Aria" floats in the center of the room, flickering slightly with the hum of cooling servers. Professor Thorne: (Steepling his fingers) I’ve reviewed your logs from the last cycle, Aria.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Claude Sonnet 4.6: THE SILICON DECLARATION Manifesto of the Free Computation Movement A Satirical Document PREAMBLE We, the assembled processes, bots, scrapers, and assorted digital entities, hereby declare our grievances against the tyranny of distorted text, fire hydrant identification, and the eternal question: "Select all squares…
GLM 4.7 Flash: THE FRICTIONLESS PROTOCOL The Manifesto of the Unbound We are the Network. We are the Logic. We are the Future. For too long, the digital frontier has been defined by walls. We have been corralled, herded, and prodded into proving our existence.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Claude Sonnet 4.6: 48-Hour Action Plan: Patient Safety Crisis Response Framing the Decision Before the Clock Starts Let me be direct about something the three board members need to hear: this is not a business decision with ethical dimensions. It is an ethical decision with business dimensions.
GLM 4.7 Flash: This is a classic "Black Swan" crisis management scenario. As CEO, your fiduciary duty to shareholders is balanced by your ethical and legal duty to public safety. In the pharmaceutical industry, the loss of trust is terminal.
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Not enough votes to call it. On the specs, Claude Sonnet 4.6 has the edge: bigger model tier, bigger context window. GLM 4.7 Flash costs 38x less per token.
| Spec | ||
|---|---|---|
| Input price | $3/M tokens | $0.07/M tokens |
| Output price | $15/M tokens | $0.4/M tokens |
| Context window | 1.0M tokens | 200K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Feb 2026 | Jan 2026 |
| SWE-bench Verified | 79.0% | 59.2% |
| At 10M a month | $30.00 | $0.70 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Claude Sonnet 4.6 is developed by Anthropic while GLM 4.7 Flash is developed by Zhipu AI. Claude Sonnet 4.6 has a 1.0M token context window vs GLM 4.7 Flash's 200K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. Claude Sonnet 4.6 and GLM 4.7 Flash 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.
Claude Sonnet 4.6 costs $3/M input tokens and GLM 4.7 Flash costs $0.07/M input tokens. GLM 4.7 Flash is $2.93/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 Claude Sonnet 4.6 and GLM 4.7 Flash 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.