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deepseek v4.1 flash ran all four three.js scenes for $0.15. gemini 3.8 flash needed $1.25 we put the two models on one job: a self-contained html page that renders an animated 3d scene with three.js – a storm at sea, a spiral galaxy, a tornado over farmland, a tesla...

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thehype.

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62,603 просмотров • 1 месяц назад •via X (Twitter)

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Комментарии: 16

Фото профиля Addy Crezee | thehype. | /function1
Addy Crezee | thehype. | /function11 месяц назад

flash models are so powerful these days, wow. can The physics around the hurricane and the night storm is amazing

Фото профиля thehype.
thehype.1 месяц назад

indeed

Фото профиля EL87
EL871 месяц назад

a storm at sea gemini>deepseek a spiral galaxy gemini=deepseek a tornado over farmland gemini>deepseek a tesla coil on a dark table deepseek>gemini

Фото профиля thehype.
thehype.1 месяц назад

so noone won 😊

Фото профиля nickster
nickster1 месяц назад

whale is mogging google 🤦🏻‍♂️ hope gemini 4.0 will be the great google’s revenge

Фото профиля thehype.
thehype.1 месяц назад

we are waiting 😎

Фото профиля Victoria Neiman
Victoria Neiman1 месяц назад

i like deepseek

Фото профиля thehype.
thehype.1 месяц назад

😉

Фото профиля Foundry
Foundry1 месяц назад

nice bench guys! deepseek looks fire fr

Фото профиля thehype.
thehype.1 месяц назад

tyty

Фото профиля Maximum_health
Maximum_health1 месяц назад

That’s wild Deepseek was cooking too For under 2 bucks you could get the best of both and combine them

Фото профиля thehype.
thehype.1 месяц назад

yes 😎

Фото профиля Jake – 🇺🇸/acc
Jake – 🇺🇸/acc1 месяц назад

on the numbers deepseek looks better but in these outputs I'd argue gemini is significantly better

Фото профиля thehype.
thehype.1 месяц назад

both models showed great results tbh, but deepseek won the numbers

Фото профиля AK☄️
AK☄️1 месяц назад

This loooks dope by deepseek

Фото профиля thehype.
thehype.1 месяц назад

solid indeed 👌

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Qwen 3.8 vs GLM 5.3 vs Gemini 3.8 Flash vs DeepSeek v4.1 Flash Prompt: Build an Angry Birds clone Qwen 3.8 took $0.49 in 3 min GLM 5.3 took $0.46 in 2 min Gemini 3.8 Flash took $0.29 in 2 min 23 sec DeepSeek v4.1 Flash took $0.11 in 1 min 28 sec Which one wins for you?
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Qwen 3.8 vs GLM 5.3 vs Gemini 3.8 Flash vs DeepSeek v4.1 Flash Prompt: Build an Angry Birds clone Qwen 3.8 took $0.49 in 3 min GLM 5.3 took $0.46 in 2 min Gemini 3.8 Flash took $0.29 in 2 min 23 sec DeepSeek v4.1 Flash took $0.11 in 1 min 28 sec Which one wins for you?

Bhavy☄️

27,799 просмотров • 1 месяц назад

Opus 5.5 vs GPT-6 Astra vs DeepSeek V4.1 Flash vs Gemini 3.8 Flash
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Opus 5.5 vs GPT-6 Astra vs DeepSeek V4.1 Flash vs Gemini 3.8 Flash

0xMarioNawfal

56,376 просмотров • 24 дней назад

DeepSeek V4.1 Flash just one shot Minecraft. It built this in 11 minutes and cost less than $0.25. Muse Spark 1.3 and Gemini 3.8 Flash completely failed on this same exact prompt. DeepSeek cooked.
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DeepSeek V4.1 Flash just one shot Minecraft. It built this in 11 minutes and cost less than $0.25. Muse Spark 1.3 and Gemini 3.8 Flash completely failed on this same exact prompt. DeepSeek cooked.

BridgeMind

47,564 просмотров • 1 месяц назад

DeepSeek V4.1 Flash vs Gemini 3.8 Flash at 3D geometry test: six self-contained three.js stereometry scenes — a (3,8) torus knot, a Klein bottle, a great stellated dodecahedron, a hyperboloid ruled by 120 straight rods, a level-3 Menger sponge, a thick Möbius strip. one shot each, no libraries beyond three.js, every surface painted with a live iridescent rainbow that has to crawl across the geometry. cost: Gemini 3.8 Flash — $0.11 DeepSeek V4.1 Flash — $0.27 • gemini delivers all six figures for 2.4× less — 21k output tokens against deepseek's 168k • gemini is 5× faster — every scene under 25 seconds, deepseek took up to 3 minutes on the Möbius strip • deepseek wins the torus knot: its rope is vivid and glossy, while gemini rendered the same knot nearly black • neither model can build a real Klein bottle. both hand back a twisted tube and call it done try both on aimlapi[.]com
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DeepSeek V4.1 Flash vs Gemini 3.8 Flash at 3D geometry test: six self-contained three.js stereometry scenes — a (3,8) torus knot, a Klein bottle, a great stellated dodecahedron, a hyperboloid ruled by 120 straight rods, a level-3 Menger sponge, a thick Möbius strip. one shot each, no libraries beyond three.js, every surface painted with a live iridescent rainbow that has to crawl across the geometry. cost: Gemini 3.8 Flash — $0.11 DeepSeek V4.1 Flash — $0.27 • gemini delivers all six figures for 2.4× less — 21k output tokens against deepseek's 168k • gemini is 5× faster — every scene under 25 seconds, deepseek took up to 3 minutes on the Möbius strip • deepseek wins the torus knot: its rope is vivid and glossy, while gemini rendered the same knot nearly black • neither model can build a real Klein bottle. both hand back a twisted tube and call it done try both on aimlapi[.]com

AI/ML API

39,932 просмотров • 1 месяц назад

how did DeepSeek-v4.1-Flash became so good both the outputs are from same prompts.. DeepSeek's flash model on max effort smokes Opus 5 on medium effort and the crazy part is it's still 90% cheaper best strategy would be to use Opus for planning and deepseek-v4.1-flash for execution, that would be an insane combo but do you think Gemini 4 Pro could outperform DeepSeek-v4.1-flash?
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how did DeepSeek-v4.1-Flash became so good both the outputs are from same prompts.. DeepSeek's flash model on max effort smokes Opus 5 on medium effort and the crazy part is it's still 90% cheaper best strategy would be to use Opus for planning and deepseek-v4.1-flash for execution, that would be an insane combo but do you think Gemini 4 Pro could outperform DeepSeek-v4.1-flash?

Tim Jayas

11,371 просмотров • 1 месяц назад

Which flash model wins? DeepSeek v4.1 flash, Qwen 3.8 flash, or GLM 5.3 flash 🤯
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Which flash model wins? DeepSeek v4.1 flash, Qwen 3.8 flash, or GLM 5.3 flash 🤯

GMI Cloud

15,052 просмотров • 1 месяц назад

I found a hidden WorkBuddy feature: it’s more than one AI chat. Gpt 6 Astra, Gemini-3.5-Flash, and DeepSeek-V4.1-Flash are in one place and DeepSeek-V4.1-Flash is free for two weeks. No more tab-hopping when I compare models. Here’s my workflow now. WorkBuddy #WorkBuddy
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I found a hidden WorkBuddy feature: it’s more than one AI chat. Gpt 6 Astra, Gemini-3.5-Flash, and DeepSeek-V4.1-Flash are in one place and DeepSeek-V4.1-Flash is free for two weeks. No more tab-hopping when I compare models. Here’s my workflow now. WorkBuddy #WorkBuddy

Tyler Wayne

115,147 просмотров • 16 дней назад

Gemini Flash 3.8 beats Opus 5 at at 15× lower price the test: four self-contained three.js physics scenes — a balloon popped by a needle, a ball dropping into water, a bomb with a mushroom cloud, a live atom model. 5 seconds each, real gravity, real impact. cost: Gemini 3.8 Flash — $0.12 Claude Opus 5 — $1.86 what we saw: • gemini passes the same physics checklist for 15× less — the ball sinks and bobs, ripples spread, the mushroom towers over the scene • gemini is 4× faster — every scene generated in under 70 seconds. opus took up to 5 minutes try Gemini 3.8 Flash on aimlapi[.]com
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Gemini Flash 3.8 beats Opus 5 at at 15× lower price the test: four self-contained three.js physics scenes — a balloon popped by a needle, a ball dropping into water, a bomb with a mushroom cloud, a live atom model. 5 seconds each, real gravity, real impact. cost: Gemini 3.8 Flash — $0.12 Claude Opus 5 — $1.86 what we saw: • gemini passes the same physics checklist for 15× less — the ball sinks and bobs, ripples spread, the mushroom towers over the scene • gemini is 4× faster — every scene generated in under 70 seconds. opus took up to 5 minutes try Gemini 3.8 Flash on aimlapi[.]com

AI/ML API

116,252 просмотров • 1 месяц назад

i just compared DeepSeek-v4.1-Flash against Opus 5 gave same prompt to both models to build ocean sandbox using three.js DeepSeek-v4.1-Flash was almost 90% cheaper and 50% faster than Opus 5 💀 maybe the benchmarks are not broken.. do you think DeepSeek is better?
0:52

i just compared DeepSeek-v4.1-Flash against Opus 5 gave same prompt to both models to build ocean sandbox using three.js DeepSeek-v4.1-Flash was almost 90% cheaper and 50% faster than Opus 5 💀 maybe the benchmarks are not broken.. do you think DeepSeek is better?

Tim Jayas

28,561 просмотров • 1 месяц назад

glm 5.3 vs qwen 3.8 vs gemini 3.7 vs deepseek v4 flash four models designed and built three structures each on a physics-backed site, with no dimensions anywhere in the brief the setup: our own agent loop on OpenRouter, a construction site as the tool set – footings, walls, arches, roofs, scaffold, a lamp. the site enforces physics and nothing else: unsupported brick falls, a roof needs walls under it, a worker reaches 3.2 m above whatever he stands on, an arch needs centring until the keystone is set, concrete cures before it carries. no budget ceiling – material cost is tallied and reported, never blocked. tasks: 1. house – a plot and a palette, no plan. shape, height and material are the model's call 2. lighthouse – a headland cut by a gully, with a rock stack standing 30 m offshore. the lamp must burn, it must be the highest thing built, and the keeper must be able to walk to it 3. bridge – a river with one islet and banks at different heights. cross it however you want models: Z.ai glm 5.3 flash, Qwen qwen 3.8 flash, Google DeepMind gemini 3.7 flash, DeepSeek v4 flash vision all twelve objects were finished and signed off by the models themselves. tallest lighthouse is qwen's at 38.4 m, planted on the offshore stack with a bridge run out to it – the only model that read the site that way. deepseek signed off its bridge on an empty riverbed: 0 bricks, 107 minutes, $1.16m of material tallied - total cost, three builds #1 glm 5.3 flash – $0.201 #2 gemini 3.7 flash – $0.871 #3 qwen 3.8 flash – $1.058 #4 deepseek v4 flash – $1.567 - wall clock, three builds #1 gemini 3.7 flash – 91m #2 glm 5.3 flash – 228m #3 deepseek v4 flash – 502m #4 qwen 3.8 flash – 912m - total tokens #1 gemini 3.7 flash – 3,567,052 #2 glm 5.3 flash – 4,732,748 #3 qwen 3.8 flash – 13,469,333 #4 deepseek v4 flash – 18,230,076 - defects logged by the site #1 deepseek v4 flash – 59 #2 gemini 3.7 flash – 132 #3 glm 5.3 flash – 221 #4 qwen 3.8 flash – 350 - material tallied across three builds #1 gemini 3.7 flash – $359,884 #2 glm 5.3 flash – $583,358 #3 deepseek v4 flash – $1,327,484 #4 qwen 3.8 flash – $2,188,625 observations: • glm is the cheap one and nothing here is close – $0.201 for three buildings, $0.042 per million tokens, 6x under gemini's rate • what glm spends it on is bulk, not care: 166,228 bricks in one house and 156 defect weight, the worst single object in the set • gemini is the efficiency line – 91 minutes and 3.57m tokens for all three and an eighth of qwen's clock • gemini also builds the smallest of everything. its lighthouse is 22.5 m against qwen's 38.4, its house 6.9 m against 19.3 • qwen is the maximalist: 1.18m bricks, $2.19m of material, tallest on all three tasks, and 912 minutes – 15 hours – to get there conclusion: twelve finished objects for $3.80 all in, and a 7.8x price spread between the cheapest model and the priciest! follow thehype. for 24/7 ai news, analysis and breakdowns
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glm 5.3 vs qwen 3.8 vs gemini 3.7 vs deepseek v4 flash four models designed and built three structures each on a physics-backed site, with no dimensions anywhere in the brief the setup: our own agent loop on OpenRouter, a construction site as the tool set – footings, walls, arches, roofs, scaffold, a lamp. the site enforces physics and nothing else: unsupported brick falls, a roof needs walls under it, a worker reaches 3.2 m above whatever he stands on, an arch needs centring until the keystone is set, concrete cures before it carries. no budget ceiling – material cost is tallied and reported, never blocked. tasks: 1. house – a plot and a palette, no plan. shape, height and material are the model's call 2. lighthouse – a headland cut by a gully, with a rock stack standing 30 m offshore. the lamp must burn, it must be the highest thing built, and the keeper must be able to walk to it 3. bridge – a river with one islet and banks at different heights. cross it however you want models: Z.ai glm 5.3 flash, Qwen qwen 3.8 flash, Google DeepMind gemini 3.7 flash, DeepSeek v4 flash vision all twelve objects were finished and signed off by the models themselves. tallest lighthouse is qwen's at 38.4 m, planted on the offshore stack with a bridge run out to it – the only model that read the site that way. deepseek signed off its bridge on an empty riverbed: 0 bricks, 107 minutes, $1.16m of material tallied - total cost, three builds #1 glm 5.3 flash – $0.201 #2 gemini 3.7 flash – $0.871 #3 qwen 3.8 flash – $1.058 #4 deepseek v4 flash – $1.567 - wall clock, three builds #1 gemini 3.7 flash – 91m #2 glm 5.3 flash – 228m #3 deepseek v4 flash – 502m #4 qwen 3.8 flash – 912m - total tokens #1 gemini 3.7 flash – 3,567,052 #2 glm 5.3 flash – 4,732,748 #3 qwen 3.8 flash – 13,469,333 #4 deepseek v4 flash – 18,230,076 - defects logged by the site #1 deepseek v4 flash – 59 #2 gemini 3.7 flash – 132 #3 glm 5.3 flash – 221 #4 qwen 3.8 flash – 350 - material tallied across three builds #1 gemini 3.7 flash – $359,884 #2 glm 5.3 flash – $583,358 #3 deepseek v4 flash – $1,327,484 #4 qwen 3.8 flash – $2,188,625 observations: • glm is the cheap one and nothing here is close – $0.201 for three buildings, $0.042 per million tokens, 6x under gemini's rate • what glm spends it on is bulk, not care: 166,228 bricks in one house and 156 defect weight, the worst single object in the set • gemini is the efficiency line – 91 minutes and 3.57m tokens for all three and an eighth of qwen's clock • gemini also builds the smallest of everything. its lighthouse is 22.5 m against qwen's 38.4, its house 6.9 m against 19.3 • qwen is the maximalist: 1.18m bricks, $2.19m of material, tallest on all three tasks, and 912 minutes – 15 hours – to get there conclusion: twelve finished objects for $3.80 all in, and a 7.8x price spread between the cheapest model and the priciest! follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

26,360 просмотров • 2 месяцев назад

DeepSeek V4.1 Flash vs. Opus 5.5 on the Bowser 3D test. $0.15 vs. $3.85. This is crazy.
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DeepSeek V4.1 Flash vs. Opus 5.5 on the Bowser 3D test. $0.15 vs. $3.85. This is crazy.

Luckey Faraday

364,320 просмотров • 12 дней назад

DeepSeek-V4-Flash vs Gemini-3.6-Flash both given the exact same prompt to build 3D pirate ship Cost: > deepseek-v4-flash: $0.14 / $0.28 > gemini-3.6-flash: $1.50 / $7.50 though deepseek is 20x cheaper, gemini was surprising faster with the output Prompt used: "build a 3D model of pirate ship in Three js with minimal dashboard buttons in light theme background, with wide view of the pirate ship"
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DeepSeek-V4-Flash vs Gemini-3.6-Flash both given the exact same prompt to build 3D pirate ship Cost: > deepseek-v4-flash: $0.14 / $0.28 > gemini-3.6-flash: $1.50 / $7.50 though deepseek is 20x cheaper, gemini was surprising faster with the output Prompt used: "build a 3D model of pirate ship in Three js with minimal dashboard buttons in light theme background, with wide view of the pirate ship"

Tim Jayas

20,127 просмотров • 2 месяцев назад

Gemini 3.8 Flash vs Opus 5 same prompt to each model and i wasn't expecting gemini 3.8 flash to be this fast! build time: > Opus 5: 24 minutes > 3.8 Flash: 37 seconds 💀 if gemini is given same time as opus 5 it will mog the hell out of opus in terms of quality too which one would you choose here?
0:35

Gemini 3.8 Flash vs Opus 5 same prompt to each model and i wasn't expecting gemini 3.8 flash to be this fast! build time: > Opus 5: 24 minutes > 3.8 Flash: 37 seconds 💀 if gemini is given same time as opus 5 it will mog the hell out of opus in terms of quality too which one would you choose here?

Tim Jayas

76,990 просмотров • 1 месяц назад

DeepSeek V4.1 Flash 1017 vs Gemini 4 Argon vs Muse Spark 1.3 vs Claude Haiku 5.5 The famous Eiffel Tower benchmark is back! 🗼🇫🇷 Same prompt for all four. • DeepSeek V4.1 Flash 1017: $0.53, 1h 10m 31s • Muse Spark 1.3: Free, 17m 01s • Claude Haiku 5.5: $0.43, 45m 02s • Gemini 4 Argon: $3.68, 38m 22s Honestly, I'm very impressed with DeepSeek V4.1 Flash 1017. 🤯 That tower, the Seine, the gardens, whole blocks of Paris, all for 53 cents. Gemini Argon is still the most polished Paris here, but it cost 7x more. And Muse built its version for FREE in 17 minutes. 😳 What do you guys think? Which Paris would you rather visit? 👀
0:20

DeepSeek V4.1 Flash 1017 vs Gemini 4 Argon vs Muse Spark 1.3 vs Claude Haiku 5.5 The famous Eiffel Tower benchmark is back! 🗼🇫🇷 Same prompt for all four. • DeepSeek V4.1 Flash 1017: $0.53, 1h 10m 31s • Muse Spark 1.3: Free, 17m 01s • Claude Haiku 5.5: $0.43, 45m 02s • Gemini 4 Argon: $3.68, 38m 22s Honestly, I'm very impressed with DeepSeek V4.1 Flash 1017. 🤯 That tower, the Seine, the gardens, whole blocks of Paris, all for 53 cents. Gemini Argon is still the most polished Paris here, but it cost 7x more. And Muse built its version for FREE in 17 minutes. 😳 What do you guys think? Which Paris would you rather visit? 👀

Tony

35,918 просмотров • 12 дней назад

DeepSeek Deepseek-v4.1-flash-v2 coming 👀!! I'm more convinced something has changed behind the deepseek-platform api. The "deepseek-flash" endpoint seems to be routing to a different model now. It could be: - Deepseek-v4.2-flash - An updated checkpoint of v4.1-flash Since it's also a little slower, i wonder if V4.1-pro is being quietly tested behind the endpoint. But either way, i'm getting way better result, the difference is noticeable. See the comparison video, same prompt, same settings.
0:50

DeepSeek Deepseek-v4.1-flash-v2 coming 👀!! I'm more convinced something has changed behind the deepseek-platform api. The "deepseek-flash" endpoint seems to be routing to a different model now. It could be: - Deepseek-v4.2-flash - An updated checkpoint of v4.1-flash Since it's also a little slower, i wonder if V4.1-pro is being quietly tested behind the endpoint. But either way, i'm getting way better result, the difference is noticeable. See the comparison video, same prompt, same settings.

AJ

22,059 просмотров • 18 дней назад

Latest models on the self-portrait test 👀 Gemini 3.8 Flash, Muse Spark 1.3, Claude Fable 5.1 and Tencent Hy4. Gemini 3.8 Flash looks cool 😎
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Latest models on the self-portrait test 👀 Gemini 3.8 Flash, Muse Spark 1.3, Claude Fable 5.1 and Tencent Hy4. Gemini 3.8 Flash looks cool 😎

TypingMind

26,162 просмотров • 1 месяц назад

holy sh*t, it can't be f**king real DeepSeek V4.1 Flash just benchmarked at 98% of GPT-6 Astra and it's free on Xplabs what you get: - DeepSeek V4.1 Flash free - and 1000+ models open on the platform how to try it (under 1 min): step 1: go to step 2: search for deepseek-v4.1-flash step 3: select it and start prompting no card, no plan, just use it
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holy sh*t, it can't be f**king real DeepSeek V4.1 Flash just benchmarked at 98% of GPT-6 Astra and it's free on Xplabs what you get: - DeepSeek V4.1 Flash free - and 1000+ models open on the platform how to try it (under 1 min): step 1: go to step 2: search for deepseek-v4.1-flash step 3: select it and start prompting no card, no plan, just use it

Sakata

48,301 просмотров • 1 месяц назад

🚨 Gemini 3.8 Flash first output Gemini 3.8 Flash is getting seriously good at building interactive experience Not perfect, but the progress in generating games is getting ridiculous🔥 Gemini 3.8 Flash is definitely one to watch
0:28

🚨 Gemini 3.8 Flash first output Gemini 3.8 Flash is getting seriously good at building interactive experience Not perfect, but the progress in generating games is getting ridiculous🔥 Gemini 3.8 Flash is definitely one to watch

Salio

26,503 просмотров • 1 месяц назад

GOOGLE 🔥: Gemini 4 Argon has reportedly been A/B-tested under Gemini 3.8 Flash on Antigravity for some time. It seems like a huge jump compared with the existing Flash model. World gen prompt > Gemini 4 Argon (supposedly)
0:34

GOOGLE 🔥: Gemini 4 Argon has reportedly been A/B-tested under Gemini 3.8 Flash on Antigravity for some time. It seems like a huge jump compared with the existing Flash model. World gen prompt > Gemini 4 Argon (supposedly)

🚨 AI News | TestingCatalog

40,834 просмотров • 18 дней назад

gemini 3.7 flash vs deepseek v4 pro 0813 vs muse spark 1.2 – on voxel city dioramas three models each built three crossy road-style 3d scenes – a construction site, a nyc intersection, a river with a drawbridge – as single self-contained html files the setup: Nous Research's hermes agent cli on OpenRouter, three.js skills preloaded, identical prompts per scene tasks: 1. construction site – tower crane on a working lift loop, paver laying fresh road, roller compacting it behind 2. nyc crossing – four-way intersection with a traffic light state machine, queuing cars, pedestrians crossing on the walk signal 3. river drawbridge – double-leaf bascule that lifts for tall boats, cars queuing at the barriers, animated water every scene: Three.js r185, box geometry only, a locked 20-color palette, four camera presets, and a day/night mode with bloom. one file, no build step, no assets models: Google DeepMind gemini 3.7 flash, DeepSeek v4 pro 0813, AI at Meta muse spark 1.2 muse and gemini finished every scene in two to three minutes. deepseek took 15 to 41 minutes per scene - build time, all three scenes #1 gemini 3.7 flash – 6m 43s #2 muse spark 1.2 – 7m 20s #3 deepseek v4 pro – 91m 25s - total tokens #1 muse spark 1.2 – 440,279 #2 gemini 3.7 flash – 713,855 #3 deepseek v4 pro – 20,957,568 - total price #1 muse spark 1.2 – $0.53 #2 gemini 3.7 flash – $0.56 #3 deepseek v4 pro – $4.57 - agent calls across the three builds #1 muse spark 1.2 – 12 #2 gemini 3.7 flash – 18 #3 deepseek v4 pro – 143 observations: • muse won two of the three scenes on looks with the smallest files in the test – 887 to 1,042 lines against gemini's 1,934 to 2,377. cheapest, fastest to a good frame, and shortest turned out to be the same column • deepseek burned 20.96m tokens – 29x gemini, 48x muse – across 143 agent calls. prompt caching is the only reason that cost $4.57: the cache discount absorbed roughly $30 of resent context • gemini was the only model whose files needed zero fixes to render – and the only one whose night mode is cosmetic. the sky never darkens and one camera button does nothing. clean code for a scene it never looked at follow thehype. for 24/7 ai news, analysis and breakdowns
0:45

gemini 3.7 flash vs deepseek v4 pro 0813 vs muse spark 1.2 – on voxel city dioramas three models each built three crossy road-style 3d scenes – a construction site, a nyc intersection, a river with a drawbridge – as single self-contained html files the setup: Nous Research's hermes agent cli on OpenRouter, three.js skills preloaded, identical prompts per scene tasks: 1. construction site – tower crane on a working lift loop, paver laying fresh road, roller compacting it behind 2. nyc crossing – four-way intersection with a traffic light state machine, queuing cars, pedestrians crossing on the walk signal 3. river drawbridge – double-leaf bascule that lifts for tall boats, cars queuing at the barriers, animated water every scene: Three.js r185, box geometry only, a locked 20-color palette, four camera presets, and a day/night mode with bloom. one file, no build step, no assets models: Google DeepMind gemini 3.7 flash, DeepSeek v4 pro 0813, AI at Meta muse spark 1.2 muse and gemini finished every scene in two to three minutes. deepseek took 15 to 41 minutes per scene - build time, all three scenes #1 gemini 3.7 flash – 6m 43s #2 muse spark 1.2 – 7m 20s #3 deepseek v4 pro – 91m 25s - total tokens #1 muse spark 1.2 – 440,279 #2 gemini 3.7 flash – 713,855 #3 deepseek v4 pro – 20,957,568 - total price #1 muse spark 1.2 – $0.53 #2 gemini 3.7 flash – $0.56 #3 deepseek v4 pro – $4.57 - agent calls across the three builds #1 muse spark 1.2 – 12 #2 gemini 3.7 flash – 18 #3 deepseek v4 pro – 143 observations: • muse won two of the three scenes on looks with the smallest files in the test – 887 to 1,042 lines against gemini's 1,934 to 2,377. cheapest, fastest to a good frame, and shortest turned out to be the same column • deepseek burned 20.96m tokens – 29x gemini, 48x muse – across 143 agent calls. prompt caching is the only reason that cost $4.57: the cache discount absorbed roughly $30 of resent context • gemini was the only model whose files needed zero fixes to render – and the only one whose night mode is cosmetic. the sky never darkens and one camera button does nothing. clean code for a scene it never looked at follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

29,033 просмотров • 2 месяцев назад