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

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GMI Cloud

8,889 subscribers

15,052 次观看 • 2 个月前 •via X (Twitter)

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13 条评论

Praveen Yadav 的头像
Praveen Yadav2 个月前

Glm 5.3 flash looks like a winner to me

VulKan 的头像
VulKan2 个月前

4.1 Flash takes the cake

Uday G 的头像
Uday G2 个月前

i liked the deepseek v4.1 result

Konstantin Anagnostou 的头像
Konstantin Anagnostou2 个月前

DS for sure

Maحmoud Ismaعil 的头像
Maحmoud Ismaعil2 个月前

Qwen

SK 的头像
SK2 个月前

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

Alina Ai 的头像
Alina Ai2 个月前

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

Khen 的头像
Khen2 个月前

Very cool test

GMI Cloud 的头像
GMI Cloud2 个月前

thanks!

Kawai 🎀 的头像
Kawai 🎀2 个月前

4.1 flashhh it's cool

sigma 的头像
sigma2 个月前

Which harness was this on?

Ahmet 的头像
Ahmet2 个月前

i see 4 claude models

Rupert 的头像
Rupert2 个月前

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?
0:24

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 • 2 个月前

Inkling 2 Small can paint 👩‍🎨!! (Video + Audio made in code) Comparison below between GLM 5.3 Flash, DeepSeek V4.1 Flash and Qwen 3.8 Flash on the same prompts. ⬇️
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Inkling 2 Small can paint 👩‍🎨!! (Video + Audio made in code) Comparison below between GLM 5.3 Flash, DeepSeek V4.1 Flash and Qwen 3.8 Flash on the same prompts. ⬇️

Surya

41,397 次观看 • 7 天前

DeepSeek V4.1 Flash vs MiMo V2.6 Flash vs GLM 5.3 Flash vs LongCat 2.5 Preview All models 100% free on OpenCode Which one is the best?
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DeepSeek V4.1 Flash vs MiMo V2.6 Flash vs GLM 5.3 Flash vs LongCat 2.5 Preview All models 100% free on OpenCode Which one is the best?

Rubens Soto | AI & SaaS

62,875 次观看 • 29 天前

GLM 5.3 Flash vs DeepSeek V4.1 Flash 1017 Can't believe we're abusing gummy bears to test models, but here we are! Both models were run locally. - GLM 5.3 Flash: my own EXL3 quant (link below) - DeepSeek V4.1 Flash 1017: official quant - Same harness.Both on Max effort. Who won?
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GLM 5.3 Flash vs DeepSeek V4.1 Flash 1017 Can't believe we're abusing gummy bears to test models, but here we are! Both models were run locally. - GLM 5.3 Flash: my own EXL3 quant (link below) - DeepSeek V4.1 Flash 1017: official quant - Same harness.Both on Max effort. Who won?

Mia

32,512 次观看 • 26 天前

Jumpgate - hyperspace jump DS4.1F-1017 vs GLM 5.3 Flash vs Fable 5.1 Who won imo: 🥇 Fable 5.1 🥈 DeepSeek V4.1 Flash 1017 🥉 GLM 5.3 Flash You can run these by yourself here: Prompt below.
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Jumpgate - hyperspace jump DS4.1F-1017 vs GLM 5.3 Flash vs Fable 5.1 Who won imo: 🥇 Fable 5.1 🥈 DeepSeek V4.1 Flash 1017 🥉 GLM 5.3 Flash You can run these by yourself here: Prompt below.

Mia

13,071 次观看 • 25 天前

Five frontier models. One simple prompt. No retries. No blender. Just a simple frontend web design. Fable 5.1 vs. GPT-6 Astra vs. DeepSeek v4.1 Flash vs. GLM 5.3 Flash vs. Qwen3.8 Flash Next Which model built the best looking luxury watch landing page? IMO Fable 5.1 and GLM 5.3 Flash look the best. LIVE DEMO:
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Five frontier models. One simple prompt. No retries. No blender. Just a simple frontend web design. Fable 5.1 vs. GPT-6 Astra vs. DeepSeek v4.1 Flash vs. GLM 5.3 Flash vs. Qwen3.8 Flash Next Which model built the best looking luxury watch landing page? IMO Fable 5.1 and GLM 5.3 Flash look the best. LIVE DEMO:

Mia

16,546 次观看 • 2 个月前

$25 free credits on River AI right now 😳 DeepSeek V4.1 Flash + GLM-5.3 Flash at 20% cheaper than official rates. → Go grab it.
0:27

$25 free credits on River AI right now 😳 DeepSeek V4.1 Flash + GLM-5.3 Flash at 20% cheaper than official rates. → Go grab it.

Punch AI

13,649 次观看 • 1 个月前

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 次观看 • 1 个月前

Two private models, now included with Pro. DeepSeek V4.1 Flash and GLM 5.3 Flash run in Private mode, so no prompt or response is stored. Try it on Venice.
0:21

Two private models, now included with Pro. DeepSeek V4.1 Flash and GLM 5.3 Flash run in Private mode, so no prompt or response is stored. Try it on Venice.

Venice

30,131 次观看 • 8 天前

NVIDIA is giving away 9 frontier AI models for free 🤯 • DeepSeek V4.1 Flash • Kimi K3 + K2.6 • GLM 5.3 + GLM 5.3 Flash • Nemotron 3 Ultra 550B • Nemotron 3 Super 120B • Nemotron 3.5 Lightning • Nemotron 3 Nano Omni No card, 40 req/min. Base URL:
0:20

NVIDIA is giving away 9 frontier AI models for free 🤯 • DeepSeek V4.1 Flash • Kimi K3 + K2.6 • GLM 5.3 + GLM 5.3 Flash • Nemotron 3 Ultra 550B • Nemotron 3 Super 120B • Nemotron 3.5 Lightning • Nemotron 3 Nano Omni No card, 40 req/min. Base URL:

Punch AI

17,655 次观看 • 1 个月前

DeepSeek v4.1 Flash vs GLM 5.3 Flash I asked both models to recreate the Psychonauts 2 and Metroid Prime game menus as closely as possible to the originals. Attached are full-sized videos from both models for both games. All were done in a single shot, both at Max thinking, same harness. Tokens used: DeepSeek v4.1 Flash - Psychonauts 2: 412k - Metroid Prime: 466k GLM 5.3 Flash - Psychonauts 2: 134k - Metroid Prime: 111k That's between 3-4x MORE used by DS4.1F. Who do you think won? IMO GLM 5.3 Flash won by FAR on both.
0:20

DeepSeek v4.1 Flash vs GLM 5.3 Flash I asked both models to recreate the Psychonauts 2 and Metroid Prime game menus as closely as possible to the originals. Attached are full-sized videos from both models for both games. All were done in a single shot, both at Max thinking, same harness. Tokens used: DeepSeek v4.1 Flash - Psychonauts 2: 412k - Metroid Prime: 466k GLM 5.3 Flash - Psychonauts 2: 134k - Metroid Prime: 111k That's between 3-4x MORE used by DS4.1F. Who do you think won? IMO GLM 5.3 Flash won by FAR on both.

Mia

24,127 次观看 • 1 个月前

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.
0:27

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 • 2 个月前

deepseek v4.1 flash is now 100% free 😳 a new coding agent is using ads to keep the whole thing free. > DeepSeek V4.1 Flash > GPT 6 Luna > GLM 5.3 Flash > More model How to get start → go to [ → sign up with GitHub → generate your API key these models be used for six hours per day.
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deepseek v4.1 flash is now 100% free 😳 a new coding agent is using ads to keep the whole thing free. > DeepSeek V4.1 Flash > GPT 6 Luna > GLM 5.3 Flash > More model How to get start → go to [ → sign up with GitHub → generate your API key these models be used for six hours per day.

HARIKA

24,322 次观看 • 1 个月前

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
1:09

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 次观看 • 2 个月前

DeepSeek V4.1 Flash breaks tool calls 45x as often as DeepSeek V4.1 Flash Providers can matter a lot
0:21

DeepSeek V4.1 Flash breaks tool calls 45x as often as DeepSeek V4.1 Flash Providers can matter a lot

Adam Holter

12,118 次观看 • 8 天前

Meet Wally. Our inference stack for open frontier models, built to be the fastest place to run them. Performance snapshot: GLM-5.3 Flash: 380 tok/s. GLM-5.3 Max: 790 tok/s Qwen3.8-27B: 485 tok/s DeepSeek-V4.1 Flash: 615 tok/s 1/7
0:46

Meet Wally. Our inference stack for open frontier models, built to be the fastest place to run them. Performance snapshot: GLM-5.3 Flash: 380 tok/s. GLM-5.3 Max: 790 tok/s Qwen3.8-27B: 485 tok/s DeepSeek-V4.1 Flash: 615 tok/s 1/7

RunAnywhere

66,857 次观看 • 1 个月前

DeepSeek v4.1 Flash via API is almost TOO fast 🤯
0:21

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

Mia

139,524 次观看 • 2 个月前

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 🤓
0:50

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

77,196 次观看 • 2 个月前

GLM 5.3 Flash vs DeepSeek V4.1, equal conditions, similar time to completion of the scene. DeepSeek had issues with recording a video (fog + distance), but the actual model is better, so I'd say they are about equal.
0:20

GLM 5.3 Flash vs DeepSeek V4.1, equal conditions, similar time to completion of the scene. DeepSeek had issues with recording a video (fog + distance), but the actual model is better, so I'd say they are about equal.

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)

14,610 次观看 • 2 个月前

两台 128GB 的机器，写代码， GLM 5.3 Flash 绝对是比 DeepSeek V4.1 更好的选择 给你们欣赏一下 GLM 5.3 Flash 在写安全补丁时我录制的视频，速度非常快
0:42

两台 128GB 的机器，写代码， GLM 5.3 Flash 绝对是比 DeepSeek V4.1 更好的选择 给你们欣赏一下 GLM 5.3 Flash 在写安全补丁时我录制的视频，速度非常快

Andy Stewart

15,216 次观看 • 1 个月前