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fixed the reasoning bugs + the thinking loop in glm-5.3 flash. it's a different model now. i gave the same prompt to glm (running on my desk) vs gpt-6.1 sol. they produced a SINGLE HTML file each. very content with GLM's version, i'm genuinely impressed

47,597 Aufrufe • vor 1 Tag •via X (Twitter)

13 Kommentare

Profilbild von dr bosconovitch
dr bosconovitchvor 1 Tag

how much time did it take?

Profilbild von Sat Grewal
Sat Grewalvor 1 Tag

Can you share the prompt you used for this animated version?

Profilbild von Rico · DGX Spark Cluster
Rico · DGX Spark Clustervor 1 Tag

Running on your desk is the best part. It's my daily coding model on two Sparks too. What caused the thinking loop?

Profilbild von dr bosconovitch
dr bosconovitchvor 1 Tag

Wow waiting patiently! So that I can leave it running overnight... Please push it's 12am here haha Thanks for your work, man!

Profilbild von Erago 🇦🇹
Erago 🇦🇹vor 1 Tag

How do you do that? For me GLM 5.3 Flash (through my Z AI subscription already has issues doing the simplest 3d tasks.

Profilbild von tolgaozisik
tolgaozisikvor 1 Tag

This is huge if its true

Profilbild von Ican
Icanvor 1 Tag

What's 16bit or what

Profilbild von Tyler Folkman
Tyler Folkmanvor 1 Tag

Pretty impressive.

Profilbild von accelerate27
accelerate27vor 1 Tag

how many iterations did it take for glm 5.3 flash to reach this point?

Profilbild von John Davis | Solar Strategies
John Davis | Solar Strategiesvor 1 Tag

Pushed?

Profilbild von Terp
Terpvor 1 Tag

that's great work

Profilbild von LakyFx
LakyFxvor 1 Tag

🥳👍

Profilbild von MarioLee
MarioLeevor 1 Tag

你是通过 zcode 使用 glm 模型的么?

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glm 5.3 flash is 7.5x cheaper, but 3.4x slower than gemini 3.7 flash Z.ai glm 5.3 flash – shipped aug 26, $0.07/$0.25 per 1m Google DeepMind gemini 3.7 flash – shipped aug 13, $0.38/$1.88 per 1m we put the two models on one job: write one html file that draws an animated 3d scene in the browser. no images, no downloads, and it has to look the same on every load. the setup: three scenes – a glass aquarium in a lit room, the solar system, a night city under a thunderstorm. identical brief word for word, reasoning effort high, 64k output cap. the numbers below are not the whole run. they cover the three scenes we kept – the best one per task from each model, the ones in the video. - total generation time for the three scenes #1 gemini 3.7 flash – 10m 36s #2 glm 5.3 flash – 36m 30s - tokens spent on those three scenes #1 glm 5.3 flash – 110k #2 gemini 3.7 flash – 111k - cost of those three scenes #1 glm 5.3 flash – $0.027 #2 gemini 3.7 flash – $0.202 observations: • glm's first 10 attempts: 7 blank pages. it kept inventing short random helpers and forgetting to define one of them. the fix was one line in the brief: use exactly one random helper, named rand(), and don't invent shorthands next to it. next 12 attempts: 11 alive, 0 crashes. • glm spends 66% of its output on reasoning, gemini 57%. that is the whole speed gap. • gemini's storm came back as a black rectangle in 4 of 6 runs. glm's best storm has a branching bolt, lit rain and wet asphalt – for $0.01. conclusion: same three scenes, same token spend – glm 5.3 flash billed $0.027 and took 36m 30s, gemini 3.7 flash billed $0.202 and took 10m 36s. glm wins gemini on price and made the best storm of the whole run follow thehype. for 24/7 ai news, analysis and breakdowns

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