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DeepSeek V4 Flash vs GPT-5.6 Luna tested both models with the same prompt on highest reasoning > luna one shotted everything in under 3 mins in devin > v4 Flash needed an extra prompt to fix the movement and took over 5 mins in aihubmix cli which one do...

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47,643 Aufrufe • vor 1 Monat •via X (Twitter)

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I tested Gemini 3.7 Flash vs Qwen 3.8 vs DeepSeek V4 Pro vs GLM 5.3 same prompt: a busy train interior, then leaving the station. Qwen 3.8 and GLM 5.3 look best to me. but Gemini did it in 1 min 45 secs lol, others took more than 7 mins. Which one wins for you?
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I tested Gemini 3.7 Flash vs Qwen 3.8 vs DeepSeek V4 Pro vs GLM 5.3 same prompt: a busy train interior, then leaving the station. Qwen 3.8 and GLM 5.3 look best to me. but Gemini did it in 1 min 45 secs lol, others took more than 7 mins. Which one wins for you?

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We rolled out support for GLM 5.3 Flash along with an improved model picker UX in Devin CLI. ⚡ Devin now supports: GLM-5.3, 5.3 Flash, 5.2 Claude Fable, Haiku, Opus, Sonnet GPT-5.6 Sol, Luna, Terra + others DeepSeek V4 Flash, Pro SWE-1.7, 1.6 Gemini 3.7 Flash Grok 4.6, 4.5 Inkling Kimi K3, 2.7 + others Also available in Devin Desktop.
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We rolled out support for GLM 5.3 Flash along with an improved model picker UX in Devin CLI. ⚡ Devin now supports: GLM-5.3, 5.3 Flash, 5.2 Claude Fable, Haiku, Opus, Sonnet GPT-5.6 Sol, Luna, Terra + others DeepSeek V4 Flash, Pro SWE-1.7, 1.6 Gemini 3.7 Flash Grok 4.6, 4.5 Inkling Kimi K3, 2.7 + others Also available in Devin Desktop.

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Fable 5.1 vs Kimi K3 Tested both models with the same prompt at the highest reasoning level available. > Fable took 18 minutes to complete this test and cost $12.60 > Kimi K3 took 10 minutes and cost around $6.95 Which one wins here?
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Fable 5.1 vs Kimi K3 Tested both models with the same prompt at the highest reasoning level available. > Fable took 18 minutes to complete this test and cost $12.60 > Kimi K3 took 10 minutes and cost around $6.95 Which one wins here?

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free access to 8+ top AI models 😳 APInex is offering free models with 1M context - Gemini 3.8 Flash - Muse Spark 1.3 - GLM 5.3 Flash - Gemini 3.1 Pro - DeepSeek V4 Pro - GPT-5.6 Luna - Qwen 3.8 MAX - DeepSeek V4 Flash getting started: 1. go to 2. sign up with Gmail 3. create your API key 4. base url 5. choose a free model and start using free models, one API setup 👀
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free access to 8+ top AI models 😳 APInex is offering free models with 1M context - Gemini 3.8 Flash - Muse Spark 1.3 - GLM 5.3 Flash - Gemini 3.1 Pro - DeepSeek V4 Pro - GPT-5.6 Luna - Qwen 3.8 MAX - DeepSeek V4 Flash getting started: 1. go to 2. sign up with Gmail 3. create your API key 4. base url 5. choose a free model and start using free models, one API setup 👀

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Fable 5.1 vs GPT 5.6 Sol tested both models with same prompt at highest reasoning available > Fable took 10 minutes to complete this test and costed $1.6 > Sol took 7 minutes and costed around $.95 even tho sol is cheaper and faster but results are really different which one won here?

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41,089 Aufrufe • vor 18 Tagen

I tested again Gemini 3.7 Flash vs Qwen 3.8 vs Grok 4.6 vs GLM 5.3 same prompt: a family having lunch in 3D. Qwen 3.8 wins again for me on quality. but Gemini finished in under 2 mins, the others took 6+. Which one wins for you?
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71,444 Aufrufe • vor 1 Monat

this is the best trick to maximum usage limits on chatgpt codex codex's best kept secret is that your main agent doesn't have to do everything... custom agents are just files in ~/.codex/agents, and one file gives you a second worker on deepseek v4 flash > create ~/.codex/agents/deepseek-worker.toml > set model = "opencode-go/deepseek-v4-flash" with model_reasoning_effort = "max" > keep it bounded: one task packet, no scope creep, report back ```toml name = "deepseek_worker" description = "bounded implementation, testing, and cleanup on deepseek v4 flash" model = "opencode-go/deepseek-v4-flash" model_reasoning_effort = "max" ``` then @ deepseek_worker in the composer... your root agent plans while the worker ships the implementation planning on the main model, execution on the flash lane... that's the whole trick (we run this exact file, last i checked it keeps the heavy turns off the main thread)
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this is the best trick to maximum usage limits on chatgpt codex codex's best kept secret is that your main agent doesn't have to do everything... custom agents are just files in ~/.codex/agents, and one file gives you a second worker on deepseek v4 flash > create ~/.codex/agents/deepseek-worker.toml > set model = "opencode-go/deepseek-v4-flash" with model_reasoning_effort = "max" > keep it bounded: one task packet, no scope creep, report back ```toml name = "deepseek_worker" description = "bounded implementation, testing, and cleanup on deepseek v4 flash" model = "opencode-go/deepseek-v4-flash" model_reasoning_effort = "max" ``` then @ deepseek_worker in the composer... your root agent plans while the worker ships the implementation planning on the main model, execution on the flash lane... that's the whole trick (we run this exact file, last i checked it keeps the heavy turns off the main thread)

Avid

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Codex can now run Deepseek-v4- flash! There's a catch though. Deepseek's official setup switches your entire codex over to them, so your GPT models stop showing up at all. This is exactly what Codex Router is for. It adds models to the list instead of replacing them, so sol, grok, kimi and deepseek all sit in the same picker and i just grab whichever one suits the job. Deepseek v4-flash is $0.28 per million output tokens. opus 4.8 is $25. same picker, 89x apart. Links in the comment. setup's in the video 👇
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Codex can now run Deepseek-v4- flash! There's a catch though. Deepseek's official setup switches your entire codex over to them, so your GPT models stop showing up at all. This is exactly what Codex Router is for. It adds models to the list instead of replacing them, so sol, grok, kimi and deepseek all sit in the same picker and i just grab whichever one suits the job. Deepseek v4-flash is $0.28 per million output tokens. opus 4.8 is $25. same picker, 89x apart. Links in the comment. setup's in the video 👇

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I tested Gemini 3.7 Flash vs Qwen 3.8 vs Grok 4.6 vs GLM 5.3 Same prompt, 2 scenes: a harvester and farmers working. honestly? Qwen 3.8 impressed me. it just did what I asked. Grok 4.6 failed on coloring. Qwen>GLM> Grok> Gemini which one did better for you?
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I tested Gemini 3.7 Flash vs Qwen 3.8 vs Grok 4.6 vs GLM 5.3 Same prompt, 2 scenes: a harvester and farmers working. honestly? Qwen 3.8 impressed me. it just did what I asked. Grok 4.6 failed on coloring. Qwen>GLM> Grok> Gemini which one did better for you?

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Kimi K3 beats GPT 5.6 Sol on both speed and in cost in backend bug fixing ! Planted 4 defects in the same Python order service: a wrong-total calculation, a broken access-control check (IDOR), a crash on invalid input, and an inventory oversell. Both models got identical code and the same prompt, with an automated test suite verifying every fix over the live API. Both went 4/4, but by the time Kimi K3 finished all 4, GPT 5.6 had only fixed 2. Kimi wrapped in under half the time, at half the cost. Kimi K3: 1min 34s · $0.1 · 4/4 GPT 5.6 Sol: 4min 6s · $0.2 · 4/4

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DeepSeek V4 Flash being ranked almost equal to Opus 4.8 is actually insane to me. Against Kimi K3, Opus 5, GPT-5.6 Sol, and Qwen 3.8 Max Preview, you give up a LOT by choosing DeepSeek. This is not a 2-point difference in practice. I’ll post the Opus 4.8 comparison next because you need to see this.
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DeepSeek V4 Flash being ranked almost equal to Opus 4.8 is actually insane to me. Against Kimi K3, Opus 5, GPT-5.6 Sol, and Qwen 3.8 Max Preview, you give up a LOT by choosing DeepSeek. This is not a 2-point difference in practice. I’ll post the Opus 4.8 comparison next because you need to see this.

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you don't need Seedance 2.5, here's cheaper and more efficient workflow we made this entire game shooting scene in one shot for $1.97 with DeepSeek V4 Flash 0731 + MiniMax H3 we use DeepSeek to code the raw Three.js scene first: exact camera movement, character motion, timing, everything. keep tweaking it there for basically pennies. then feed the final footage into H3 and let it cook the realism 48 mins, $1.97 total, one H3 generation way cheaper than rerolling a video model 10 times

GMI Cloud

157,773 Aufrufe • vor 1 Monat

AI agents can do animation for you now. All I did was create the character in GPT Image 2.0. Fable 5 handled the story and prompt, then I used Renoise CLI to run it with Seedance 2.0. Prompt in thread ⤵️
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AI agents can do animation for you now. All I did was create the character in GPT Image 2.0. Fable 5 handled the story and prompt, then I used Renoise CLI to run it with Seedance 2.0. Prompt in thread ⤵️

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this is literally f**king insane i just 2x my usage limits on $200/mo codex i figured out how to use deepseek v4.1-flash on $10/mo opencode go for routine subagent work... while gpt-6 astra directs the project and sol handles implementation. here's how to set it up in 3 mins: → connect opencode go to codex through model-router → install quota flow, including its skill and agent profiles → open a fresh astra task and paste: quota flow tells flash to handle discovery and checks, sol to implement, and luna to review when needed. the same implementation agent keeps its context through the build → test → fix loop. every extra agent should earn its call.
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this is literally f**king insane i just 2x my usage limits on $200/mo codex i figured out how to use deepseek v4.1-flash on $10/mo opencode go for routine subagent work... while gpt-6 astra directs the project and sol handles implementation. here's how to set it up in 3 mins: → connect opencode go to codex through model-router → install quota flow, including its skill and agent profiles → open a fresh astra task and paste: quota flow tells flash to handle discovery and checks, sol to implement, and luna to review when needed. the same implementation agent keeps its context through the build → test → fix loop. every extra agent should earn its call.

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HOLY SHIT Omen Alpha finished the full test in just 1h 30m, while GLM 5.3 Flash and GPT 5.6 Luna Max took around 3 hours. Bro, what even is this model?? Are we actually looking at something that could compete with GPT-6 Astra or Fable 5.1?
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HOLY SHIT Omen Alpha finished the full test in just 1h 30m, while GLM 5.3 Flash and GPT 5.6 Luna Max took around 3 hours. Bro, what even is this model?? Are we actually looking at something that could compete with GPT-6 Astra or Fable 5.1?

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MiniMax H3 vs Seedance 2.0 Created entirely on Pollo AI using the same prompt and settings to compare both models fairly. From commercial visuals to camera movement, each model brings a different style. Watch the comparison and decide which one performs better for your workflow. Which one would you choose—MiniMax H3 or Seedance 2.0?
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👀 Since GLM-5.3-Flash supports vision... We gave the models a koi pond image as a reference and asked them to recreate it as an animation. Claude Opus 5, GLM-5.3-Flash, and Kimi K3 all followed the instruction really well, and the water movement they created is awesome too. Which one do you think did it best? 👇

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You can now use GPT 5.5, Gemini 3.7 Flash, Kimi K3 and 47 other AI models completely free😱 No subscription. No credit card. Even the API usage costs $0. AIHubMix just opened a free catalog with 50 AI models. Some of the available models: • Ox Alpha • Gemini 3.7 Flash • GLM 5.2 • Kimi K3 • MiniMax M3 • GPT 5.5 • 40+ more And you don’t need separate API keys for each model. Setup takes 2 minutes: > Step 1: Go to > Create an account using your email or OAuth. No card needed. Step 2: Create one API key > The same key works with every free and paid model. Step 3: Add it to any OpenAI-compatible tool Base URL: Then choose any model ending in -free, such as: coding-glm-5.2-free gpt-5.5-free That’s it. One API key. 50 AI models. $0 for both input and output. Save this. You might need a free multi-model setup later.
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You can now use GPT 5.5, Gemini 3.7 Flash, Kimi K3 and 47 other AI models completely free😱 No subscription. No credit card. Even the API usage costs $0. AIHubMix just opened a free catalog with 50 AI models. Some of the available models: • Ox Alpha • Gemini 3.7 Flash • GLM 5.2 • Kimi K3 • MiniMax M3 • GPT 5.5 • 40+ more And you don’t need separate API keys for each model. Setup takes 2 minutes: > Step 1: Go to > Create an account using your email or OAuth. No card needed. Step 2: Create one API key > The same key works with every free and paid model. Step 3: Add it to any OpenAI-compatible tool Base URL: Then choose any model ending in -free, such as: coding-glm-5.2-free gpt-5.5-free That’s it. One API key. 50 AI models. $0 for both input and output. Save this. You might need a free multi-model setup later.

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