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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 Aufrufe • vor 2 Monaten •via X (Twitter)

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13 Kommentare

Profilbild von Praveen Yadav
Praveen Yadavvor 2 Monaten

Glm 5.3 flash looks like a winner to me

Profilbild von VulKan
VulKanvor 2 Monaten

4.1 Flash takes the cake

Profilbild von Uday G
Uday Gvor 2 Monaten

i liked the deepseek v4.1 result

Profilbild von Konstantin Anagnostou
Konstantin Anagnostouvor 2 Monaten

DS for sure

Profilbild von Maحmoud Ismaعil
Maحmoud Ismaعilvor 2 Monaten

Qwen

Profilbild von SK
SKvor 2 Monaten

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

Profilbild von Alina Ai
Alina Aivor 2 Monaten

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

Profilbild von Khen
Khenvor 2 Monaten

Very cool test

Profilbild von GMI Cloud
GMI Cloudvor 2 Monaten

thanks!

Profilbild von Kawai 🎀
Kawai 🎀vor 2 Monaten

4.1 flashhh it's cool

Profilbild von sigma
sigmavor 2 Monaten

Which harness was this on?

Profilbild von Ahmet
Ahmetvor 2 Monaten

i see 4 claude models

Profilbild von Rupert
Rupertvor 2 Monaten

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 ❤️

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Bhavy☄️

27,799 Aufrufe • vor 2 Monaten

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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41,397 Aufrufe • vor 9 Tagen

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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?
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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 Aufrufe • vor 27 Tagen

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 Aufrufe • vor 26 Tagen

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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 Aufrufe • vor 2 Monaten

$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.
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$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.

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

0xMarioNawfal

56,376 Aufrufe • vor 1 Monat

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.
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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

30,397 Aufrufe • vor 10 Tagen

Here's the DeepSeek V4.1 Flash 1017 result. Disappointing... Next up is GLM 5.3 Flash. Will post once it's ready. Thanks to Mr Tactical for the full prompt.
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Here's the DeepSeek V4.1 Flash 1017 result. Disappointing... Next up is GLM 5.3 Flash. Will post once it's ready. Thanks to Mr Tactical for the full prompt.

Mia

40,760 Aufrufe • vor 1 Tag

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:
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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 Aufrufe • vor 1 Monat

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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 Aufrufe • vor 2 Monaten

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.
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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

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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 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 2 Monaten

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

Adam Holter

12,154 Aufrufe • vor 9 Tagen

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

67,165 Aufrufe • vor 1 Monat

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 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 2 Monaten