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reading the deepseek v4 report be like

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llm_enjoyer

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76,836 Aufrufe • vor 5 Monaten •via X (Twitter)

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DeepSeek v4 Flash has 43 blocks... so, even 4096 batches during the prefill can be smoothly visualized. Look at the new progress bar.
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DeepSeek v4 Flash has 43 blocks... so, even 4096 batches during the prefill can be smoothly visualized. Look at the new progress bar.

antirez

18,422 Aufrufe • vor 4 Monaten

deepseek v4 pro is basically free right now 😳 teamorouter is offering deepseek v4 pro at almost no cost you can also use deepseek v4 flash for free what you get: - deepseek v4 pro free - deepseek v4 flash free - 1M context - openai compatible api - no subscription - credits never expire why this is worth checking: > v4 pro is currently listed at $0 input and output > flash is also available at $0 > works with claude code, codex and other tools > one api gives you access to multiple models getting started: 1. go to 2. create your account 3. open the dashboard 4. create your api key base url: 5. add it to your ai coding tool 6. select deepseek-v4-pro-free worth testing while it’s available
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deepseek v4 pro is basically free right now 😳 teamorouter is offering deepseek v4 pro at almost no cost you can also use deepseek v4 flash for free what you get: - deepseek v4 pro free - deepseek v4 flash free - 1M context - openai compatible api - no subscription - credits never expire why this is worth checking: > v4 pro is currently listed at $0 input and output > flash is also available at $0 > works with claude code, codex and other tools > one api gives you access to multiple models getting started: 1. go to 2. create your account 3. open the dashboard 4. create your api key base url: 5. add it to your ai coding tool 6. select deepseek-v4-pro-free worth testing while it’s available

K2S

38,998 Aufrufe • vor 1 Monat

Introducing a 100% free coding agent with DeepSeek v4 Pro Choose any model, all free: - DeepSeek v4 Pro/Flash - Kimi K2.6 - MiniMax M2.7 npm i -g freebuff
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Introducing a 100% free coding agent with DeepSeek v4 Pro Choose any model, all free: - DeepSeek v4 Pro/Flash - Kimi K2.6 - MiniMax M2.7 npm i -g freebuff

James Grugett

474,526 Aufrufe • vor 4 Monaten

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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DeepSeek V4 is free on NVIDIA right now 😳 1M context. MoE architecture. Built for coding and agents. → → sign up → select DeepSeek V4 → start No card, no billing. Go grab it.
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DeepSeek V4 is free on NVIDIA right now 😳 1M context. MoE architecture. Built for coding and agents. → → sign up → select DeepSeek V4 → start No card, no billing. Go grab it.

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DeepSeek V4 Flash 0731 is now available on Venice, fully private.
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DeepSeek V4 Flash 0731 is now available on Venice, fully private.

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We ran a test between the new DeepSeek V4 Flash, Kimi K3 and GLM 5.2. 3 open models. 1 prompt. /design command Reviewed gameplay features, UX/UI and cost. 🔹 Kimi K3 → 9.5/10 · $0.0740 🔹 GLM 5.2 → 9/10 · $0.0480 🔹 DeepSeek V4 Flash → 7/10 · $0.0005 DeepSeek V4 Flash is ~150x cheaper, but rough around edges. Kimi K3 and GLM 5.2 built the most polished gaming experience.
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We ran a test between the new DeepSeek V4 Flash, Kimi K3 and GLM 5.2. 3 open models. 1 prompt. /design command Reviewed gameplay features, UX/UI and cost. 🔹 Kimi K3 → 9.5/10 · $0.0740 🔹 GLM 5.2 → 9/10 · $0.0480 🔹 DeepSeek V4 Flash → 7/10 · $0.0005 DeepSeek V4 Flash is ~150x cheaper, but rough around edges. Kimi K3 and GLM 5.2 built the most polished gaming experience.

Command Code

167,504 Aufrufe • vor 1 Monat

QWEN 3.8 MAX + DEEPSEEK V4 PRO BOTH FREE ON ONE ENDPOINT • the gateway > Qwen3.8-Max (2.4T MoE) + DeepSeek V4 Pro free tiers: > Sign up -> one API key -> start with no card for free tier. > Free is tight by design -- they’re letting you taste the real thing before you scale. • wiring it up > Base url: >Model IDs exact: qwen/qwen3.8-max-free and deepseek/deepseek-v4-pro-0813-free. > Drop straight into Cursor/Claude Code/any OpenAI-compatible client. Good for long agent runs you leave open on a second screen, slow for anything interactive. Point it at side projects and experiments, not at the code you would mind a stranger reading ↓
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QWEN 3.8 MAX + DEEPSEEK V4 PRO BOTH FREE ON ONE ENDPOINT • the gateway > Qwen3.8-Max (2.4T MoE) + DeepSeek V4 Pro free tiers: > Sign up -> one API key -> start with no card for free tier. > Free is tight by design -- they’re letting you taste the real thing before you scale. • wiring it up > Base url: >Model IDs exact: qwen/qwen3.8-max-free and deepseek/deepseek-v4-pro-0813-free. > Drop straight into Cursor/Claude Code/any OpenAI-compatible client. Good for long agent runs you leave open on a second screen, slow for anything interactive. Point it at side projects and experiments, not at the code you would mind a stranger reading ↓

slash1s

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Welcome to the world of mortgage servicing! Asked DeepSeek V4 Pro to make a mortgage servicing themed romhack of Pokemon Red
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Welcome to the world of mortgage servicing! Asked DeepSeek V4 Pro to make a mortgage servicing themed romhack of Pokemon Red

Kyle Russell

11,239 Aufrufe • vor 4 Monaten

Deepseek-v4-Flash running locally. Makes me dizzy, this is one of 6 sessions running rn
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Deepseek-v4-Flash running locally. Makes me dizzy, this is one of 6 sessions running rn

0xSero

37,171 Aufrufe • vor 1 Monat

Deepseek V4 Flash is now free via Nous Portal for a limited time thanks to Novita AI!
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Deepseek V4 Flash is now free via Nous Portal for a limited time thanks to Novita AI!

Nous Research

519,026 Aufrufe • vor 4 Monaten

tested four newest open source Kimi K2.6 is the fastest, GLM 5.1 the fanciest, DeepSeek V4 is the most comprehensive, and Xiaomi MiMo is the slowest
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tested four newest open source Kimi K2.6 is the fastest, GLM 5.1 the fanciest, DeepSeek V4 is the most comprehensive, and Xiaomi MiMo is the slowest

GMI Cloud

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Tried Pi Agent with DeepSeek V4 Flash. It’s really fast. DeepSeek lacks vision support, so I use a plugin to send visual tasks to Grok 4.5. Here’s a quick demo 👇
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Tried Pi Agent with DeepSeek V4 Flash. It’s really fast. DeepSeek lacks vision support, so I use a plugin to send visual tasks to Grok 4.5. Here’s a quick demo 👇

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DeepSeek v4 Pro just built this entire design for $0.0005. - Same prompt, same harness, ran against Fable 5 - DeepSeek needed the right taste layer to compete - Fable 5 just needed a precise prompt Open source keeps closing the gap on price.
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DeepSeek v4 Pro just built this entire design for $0.0005. - Same prompt, same harness, ran against Fable 5 - DeepSeek needed the right taste layer to compete - Fable 5 just needed a precise prompt Open source keeps closing the gap on price.

0xMarioNawfal

59,746 Aufrufe • vor 2 Monaten

This dude sounds like a 2nd grader reading a book report, struggling with really basic words
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This dude sounds like a 2nd grader reading a book report, struggling with really basic words

BrooklynDad_Defiant!☮️

44,313 Aufrufe • vor 1 Monat

asked Hermes Agent and OpenClaw to scrape our site and send a report. using DeepSeek V4 from our API. OpenClaw: 15k token, 2min 48 sec. wrote a bash script. Hermes: 36 token, 8 min 06 sec. wrote a SKILL.md. runs itself next time.
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asked Hermes Agent and OpenClaw to scrape our site and send a report. using DeepSeek V4 from our API. OpenClaw: 15k token, 2min 48 sec. wrote a bash script. Hermes: 36 token, 8 min 06 sec. wrote a SKILL.md. runs itself next time.

GMI Cloud

49,679 Aufrufe • vor 4 Monaten

DeepSeek V4 Flash costs just 1% as much as Fable 5 for the same task. Starting Thursday, it’s free and unlimited on Open Design for 7 days.
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DeepSeek V4 Flash costs just 1% as much as Fable 5 for the same task. Starting Thursday, it’s free and unlimited on Open Design for 7 days.

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🤗 Novita now supports DeepSeek-V4-Pro-0813 on Hugging Face. • 1M-token context window • Built for reasoning, coding, and agentic workflows
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🤗 Novita now supports DeepSeek-V4-Pro-0813 on Hugging Face. • 1M-token context window • Built for reasoning, coding, and agentic workflows

Novita AI

17,618 Aufrufe • vor 1 Monat

WorkBuddy上大模型测试第四弹 继续对比DeepSeek V4 Flash和DeepSeek V4 Pro两个大模型 prompt：生成一个svg动画：鹈鹕骑自行车，用H5给我展示下 目前表现： DeepSeek V4 Flash生成结果已经够烂了，但是当我看到DeepSeek V4 Pro的生成结果后，直接绷不住笑喷了 两破烂王，车轮子满天乱飞，pro版直接是连车都没了🤣 测试结果见下面视频👇
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WorkBuddy上大模型测试第四弹 继续对比DeepSeek V4 Flash和DeepSeek V4 Pro两个大模型 prompt：生成一个svg动画：鹈鹕骑自行车，用H5给我展示下 目前表现： DeepSeek V4 Flash生成结果已经够烂了，但是当我看到DeepSeek V4 Pro的生成结果后，直接绷不住笑喷了 两破烂王，车轮子满天乱飞，pro版直接是连车都没了🤣 测试结果见下面视频👇

雪瑜

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People reading this tweet yesterday be like…
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People reading this tweet yesterday be like…

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