正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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

GMI Cloud

8,889 subscribers

15,052 次观看 • 5 天前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

13 条评论

Praveen Yadav 的头像

Praveen Yadav4 天前

Glm 5.3 flash looks like a winner to me

VulKan 的头像

VulKan4 天前

4.1 Flash takes the cake

Uday G 的头像

Uday G4 天前

i liked the deepseek v4.1 result

Konstantin Anagnostou 的头像

Konstantin Anagnostou4 天前

DS for sure

Maحmoud Ismaعil 的头像

Maحmoud Ismaعil4 天前

Qwen

SK 的头像

SK4 天前

Why did y need to add V4 pro ? U comparing flash models

Alina Ai 的头像

Alina Ai4 天前

DeepSeek V4.1 Flash looks like the one to beat right now.

Khen 的头像

Khen4 天前

Very cool test

GMI Cloud 的头像

GMI Cloud4 天前

thanks!

Kawai 🎀 的头像

Kawai 🎀4 天前

4.1 flashhh it's cool

sigma 的头像

sigma4 天前

Which harness was this on?

Ahmet 的头像

Ahmet4 天前

i see 4 claude models

Rupert 的头像

Rupert4 天前

Please give this idea a try.... 1. Take the code from all of them, merge into zip or document. 2. Give all of them the merged file and do a second pass to see how they adapt to the new information 3. Show us ❤️

相关视频

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?

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 次观看 • 7 天前

GLM 5.3 free on Kira AI, 100M tokens + 50M check-in 😳 GLM 5.3 + Flash + Qwen 3.8 Flash free. 1M context, no card. → → sign up → grab key → plug in Third-party proxy, don't send secrets. Go grab it.

GLM 5.3 free on Kira AI, 100M tokens + 50M check-in 😳 GLM 5.3 + Flash + Qwen 3.8 Flash free. 1M context, no card. → → sign up → grab key → plug in Third-party proxy, don't send secrets. Go grab it.

Punch AI

17,124 次观看 • 7 天前

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

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.

26,250 次观看 • 18 天前

DeepSeek v4.1 Flash via API is almost TOO fast 🤯

DeepSeek v4.1 Flash via API is almost TOO fast 🤯

Mia

137,788 次观看 • 7 天前

4 AI models trying to draw their self-portraits. GLM-5.3-Flash, GLM-5.3, Kimi K3, and Claude Opus 5. GLM-5.3-Flash came out looking the most handsome 🤓

4 AI models trying to draw their self-portraits. GLM-5.3-Flash, GLM-5.3, Kimi K3, and Claude Opus 5. GLM-5.3-Flash came out looking the most handsome 🤓

TypingMind

76,419 次观看 • 19 天前

DeepSeek v4.1 Flash running on 2x DGX Sparks

DeepSeek v4.1 Flash running on 2x DGX Sparks

Mia

57,434 次观看 • 3 天前

Ran FlappyBench on DeepSeek V4.1-Flash, GLM 5.3, and Kimi K3 with the same /design prompt. 🔹 DSV4.1-Flash: 9/10 · $0.0089 one-shot with the lowest cost 🔹 GLM-5.3: 9.5/10 · $0.0184 · nailed the UI but cost 2x more 🔹 Kimi K3: 8/10 · $0.0740 · hard-coded gameplay and 8x more

Ran FlappyBench on DeepSeek V4.1-Flash, GLM 5.3, and Kimi K3 with the same /design prompt. 🔹 DSV4.1-Flash: 9/10 · $0.0089 one-shot with the lowest cost 🔹 GLM-5.3: 9.5/10 · $0.0184 · nailed the UI but cost 2x more 🔹 Kimi K3: 8/10 · $0.0740 · hard-coded gameplay and 8x more

Command Code

20,527 次观看 • 4 天前

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.

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

46,664 次观看 • 5 天前

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 coil on a dark table. same prompt - calls until all four scenes were usable #1 deepseek v4.1 flash – 6 #2 gemini 3.8 flash – 12 - time #1 deepseek v4.1 flash – 13m 57s #2 gemini 3.8 flash – 32m 02s - cost #1 deepseek v4.1 flash – $0.15 #2 gemini 3.8 flash – $1.25 observations: • gemini blew out the exposure on 4 of 5 first attempts – a white blob where the tesla coil should be. the prompt had a paragraph on exposure. it did not help. • both models overcorrect in the fix loop: "too bright" becomes "almost black". round two is where it lands. same four scenes, 6 calls and $0.15 against 12 calls and $1.25!

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 coil on a dark table. same prompt - calls until all four scenes were usable #1 deepseek v4.1 flash – 6 #2 gemini 3.8 flash – 12 - time #1 deepseek v4.1 flash – 13m 57s #2 gemini 3.8 flash – 32m 02s - cost #1 deepseek v4.1 flash – $0.15 #2 gemini 3.8 flash – $1.25 observations: • gemini blew out the exposure on 4 of 5 first attempts – a white blob where the tesla coil should be. the prompt had a paragraph on exposure. it did not help. • both models overcorrect in the fix loop: "too bright" becomes "almost black". round two is where it lands. same four scenes, 6 calls and $0.15 against 12 calls and $1.25!

thehype.

62,229 次观看 • 5 天前

I made a personal profile for my OC using Codex, powered by the DeepSeek V4.1 Flash model.

Silvade

20,722 次观看 • 2 天前

DEEPSEEK v4.1 Flash is SO FAST What are they feeding this thing?

DEEPSEEK v4.1 Flash is SO FAST What are they feeding this thing?

Tak 🦞

67,635 次观看 • 5 天前

How DeepSeek v4.1 Flash looks on 3x DGX Sparks with 4 concurrent streams

How DeepSeek v4.1 Flash looks on 3x DGX Sparks with 4 concurrent streams

Mia

19,730 次观看 • 4 天前

DeepSeek V4.1 Flash one shot Sonic and it COOKED Total Cost: $0.31 Absolutely unreal

DeepSeek V4.1 Flash one shot Sonic and it COOKED Total Cost: $0.31 Absolutely unreal

Tak 🦞

33,122 次观看 • 5 天前

测了一下 Ox-Alpha （GLM-5.3 Flash)，太牛了！远低于 V4 Flash 的价格，完爆 V4 Flash Vision 的能力，新的斩杀线来了。

测了一下 Ox-Alpha （GLM-5.3 Flash)，太牛了！远低于 V4 Flash 的价格，完爆 V4 Flash Vision 的能力，新的斩杀线来了。

歸藏(guizang.ai)

74,854 次观看 • 20 天前

We gave GLM-5.3-Flash a Blender scene and 12 hours later it built this.

We gave GLM-5.3-Flash a Blender scene and 12 hours later it built this.

Lou

200,746 次观看 • 20 天前

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?

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 次观看 • 5 天前

Deepseek V4.1 Flash Running LOCALLY in The Deepseek Harness. This is my FAVORITE Harness right now. Your OWN Local CODEX.

Deepseek V4.1 Flash Running LOCALLY in The Deepseek Harness. This is my FAVORITE Harness right now. Your OWN Local CODEX.

Tech2Wild

17,877 次观看 • 5 天前

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

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 次观看 • 5 天前

DEEPSEEK V4.1 FLASH IS CLAIMED TO HIT 98% OF GPT-6 ASTRA AND IT’S FREE ON XPLABS

DEEPSEEK V4.1 FLASH IS CLAIMED TO HIT 98% OF GPT-6 ASTRA AND IT’S FREE ON XPLABS

0xMarioNawfal

42,767 次观看 • 4 天前

$0.049. DeepSeek V4.1 Flash used ego (lite) to shop Amazon for a MacBook desk setup, all under $100. V4.1 Flash was pushing 295 tok/s. ego (lite) kept the clicks moving. The cart had a productive five minutes.

$0.049. DeepSeek V4.1 Flash used ego (lite) to shop Amazon for a MacBook desk setup, all under $100. V4.1 Flash was pushing 295 tok/s. ego (lite) kept the clicks moving. The cart had a productive five minutes.

ego

32,996 次观看 • 6 天前