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ByteDance Coding Plan DeepSeek V4, only $0.3 daily, over 80% cheaper than standard APIs with equal coding quality

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BytePlus

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561,692 görüntüleme • 3 ay önce •via X (Twitter)

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I was an AI coding skeptic until I tried plan mode. Without it? Slop. With it? Me-quality code. We'll cover: - What plan mode is - How it helps the agent - How it helps you - Tips for improving plans - "But surely coding solo is faster?"
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I was an AI coding skeptic until I tried plan mode. Without it? Slop. With it? Me-quality code. We'll cover: - What plan mode is - How it helps the agent - How it helps you - Tips for improving plans - "But surely coding solo is faster?"

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DeepSeek R1 (the full 680B model) runs nicely in higher quality 4-bit on 3 M2 Ultras with MLX. Asked it a coding question and it thought for ~2k tokens and generated 3500 tokens overall:
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So Alibaba has just released a coding plan with all the best open source models You’ve access to Qwen 3.5-Plus, Kimi K2.5, MiniMax M2.5, GLM-5, etc. And you can plug it to: - Claude Code (as I did) - OpenClaw - Codex - Cline… While being waaay cheaper than the paid plan of Codex, Claude & Cie. More below
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So Alibaba has just released a coding plan with all the best open source models You’ve access to Qwen 3.5-Plus, Kimi K2.5, MiniMax M2.5, GLM-5, etc. And you can plug it to: - Claude Code (as I did) - OpenClaw - Codex - Cline… While being waaay cheaper than the paid plan of Codex, Claude & Cie. More below

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Cline has launched ClinePass, a flat monthly subscription that opens access to a curated set of open-weight coding models across its IDE extensions, CLI, and SDK. The current lineup includes GLM 5.2, Kimi K2.7 Code, DeepSeek V4 Pro, MiniMax-M3, and Qwen3.7, with a subscription replacing separate API keys across providers.

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MiniMax M2.5 > Claude Opus 4.6 I have been using it for a couple of days and have never hit the limit. I am currently on the Coding Plus plan which gives me 300 prompts per 5 hours. My new setup is OpenCode + MiniMax M2.5 What I have noticed: M2.5 – handles multi-step coding workflows and repo-level reasoning more reliably – better at chaining actions. think: generate test, fix bug, refactor, repeat – high TPS throughput M2.5 hits ~80%+ on SWE-Bench coding benchmarks on par with Opus and runs these tasks 37% faster than its predecessor while costing ~1/10th - 1/20th the price. Check out the video.
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MiniMax M2.5 > Claude Opus 4.6 I have been using it for a couple of days and have never hit the limit. I am currently on the Coding Plus plan which gives me 300 prompts per 5 hours. My new setup is OpenCode + MiniMax M2.5 What I have noticed: M2.5 – handles multi-step coding workflows and repo-level reasoning more reliably – better at chaining actions. think: generate test, fix bug, refactor, repeat – high TPS throughput M2.5 hits ~80%+ on SWE-Bench coding benchmarks on par with Opus and runs these tasks 37% faster than its predecessor while costing ~1/10th - 1/20th the price. Check out the video.

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FREE DeepSeek V4 Pro and V4 Flash API. Runtime by Bad Theory Labs just dropped it. Same platform, new free model, same 2-minute setup. > Runtime already gave you free Claude Opus 4.8 and GPT 5.5 access. Now they added DeepSeek V4 Pro and V4 Flash to the free tier. Absolutely FREE, YES. Same exact flow as before: → Go to runtime(.)badtheorylabs(.)com → Sign up with Google → Fill in your details during onboarding → Free balance lands automatically(But you don't need it to use DeepSeek - it's completely free right now) → Grab your API key from the dashboard → Plug into OpenCode, OpenClaw, or Hermes - done DeepSeek V4 Pro is one of the strongest coding and reasoning models available right now. Free tier also includes btl-2 - auto-routes between GLM, OpenAI, Anthropic, and Gemma. 10 million tokens per month at zero cost. 344 models total. One OpenAI-compatible endpoint. No code rebuild, no card, no limits hunting. >> Just start using the API, and when choosing a provider, select DeepSeek I tested it myself - fully working. Bookmark this before the free tier fills up.
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FREE DeepSeek V4 Pro and V4 Flash API. Runtime by Bad Theory Labs just dropped it. Same platform, new free model, same 2-minute setup. > Runtime already gave you free Claude Opus 4.8 and GPT 5.5 access. Now they added DeepSeek V4 Pro and V4 Flash to the free tier. Absolutely FREE, YES. Same exact flow as before: → Go to runtime(.)badtheorylabs(.)com → Sign up with Google → Fill in your details during onboarding → Free balance lands automatically(But you don't need it to use DeepSeek - it's completely free right now) → Grab your API key from the dashboard → Plug into OpenCode, OpenClaw, or Hermes - done DeepSeek V4 Pro is one of the strongest coding and reasoning models available right now. Free tier also includes btl-2 - auto-routes between GLM, OpenAI, Anthropic, and Gemma. 10 million tokens per month at zero cost. 344 models total. One OpenAI-compatible endpoint. No code rebuild, no card, no limits hunting. >> Just start using the API, and when choosing a provider, select DeepSeek I tested it myself - fully working. Bookmark this before the free tier fills up.

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A New CodeLLM Release Daily We release a new build almost everyday! We now have - autocomplete - multi file edit - chat with code base - deepseek, o1 and all the best coding models The only thing missing is agentic capabilities that should launch on Monday and get us to SOTA for AI code editors That’s when the real fun begins… we have some insanely cool stuff planned 🔥❤️

Bindu Reddy

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The AI price war is ON. > DeepSeek just dropped V4 Flash 0731 (big capability jump, $0.28/M output) > OpenAI cut GPT-5.6 Luna by 80% to $1.20/M (OpenRouter is currently offering 50% off, bringing it to $0.60/M) Same budget tier now, so I ran both through 3 canvas tests: 🧊 Rubik's cube: DeepSeek nails every rotation. Luna's turns are buggy, stickers fly off mid-move. 🎆 Fireworks: both fine, but Luna lags hard when the burst explodes. 🖊️ Pen writing "Hello": neither is legible. DeepSeek's cursive is looser, but Luna gave up on animating, it rendered a static image. GPT-5.6 is great at coding — but IMO only on Sol. In the same pricing tier, DeepSeek clearly beats Luna.
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The AI price war is ON. > DeepSeek just dropped V4 Flash 0731 (big capability jump, $0.28/M output) > OpenAI cut GPT-5.6 Luna by 80% to $1.20/M (OpenRouter is currently offering 50% off, bringing it to $0.60/M) Same budget tier now, so I ran both through 3 canvas tests: 🧊 Rubik's cube: DeepSeek nails every rotation. Luna's turns are buggy, stickers fly off mid-move. 🎆 Fireworks: both fine, but Luna lags hard when the burst explodes. 🖊️ Pen writing "Hello": neither is legible. DeepSeek's cursive is looser, but Luna gave up on animating, it rendered a static image. GPT-5.6 is great at coding — but IMO only on Sol. In the same pricing tier, DeepSeek clearly beats Luna.

stevibe

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Last winter I was a complete beginner posting my coding journey daily from Oct Fast forward a year: I’ve done freelance gigs, worked with US clients, and now I’m at a startup. The only reason I got here I showed up every single day
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Last winter I was a complete beginner posting my coding journey daily from Oct Fast forward a year: I’ve done freelance gigs, worked with US clients, and now I’m at a startup. The only reason I got here I showed up every single day

Karan

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This is why Ridges AI | SN62 is an absolute monster 🔥 🔵 "If you were to take the top coding systems from these major companies with billions of dollars in funding at multi hundred billion dollar valuations and take their primary product which is coding agents and you stack it up against ours.. Ours is better" 🔵 "It solves more problems faster, for orders of magnitude cheaper, like 70x cheaper to use us than the flagship #Anthropic model to solve these problems.. and we're beating them now" ⚪️ "For way less capital, we've created a system that is way more efficient and actually better at solving problems for multiples cheaper, with a system that is now profitable to run" ⚪️ "With probably less capital than it costs our competitors to pay their engineers to do research in this time" Shakeel $TAO
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This is why Ridges AI | SN62 is an absolute monster 🔥 🔵 "If you were to take the top coding systems from these major companies with billions of dollars in funding at multi hundred billion dollar valuations and take their primary product which is coding agents and you stack it up against ours.. Ours is better" 🔵 "It solves more problems faster, for orders of magnitude cheaper, like 70x cheaper to use us than the flagship #Anthropic model to solve these problems.. and we're beating them now" ⚪️ "For way less capital, we've created a system that is way more efficient and actually better at solving problems for multiples cheaper, with a system that is now profitable to run" ⚪️ "With probably less capital than it costs our competitors to pay their engineers to do research in this time" Shakeel $TAO

ＤＲＥＡＤ ＢＯＮＧＯ

18,356 görüntüleme • 11 ay önce

Apple is no longer hiding it. These machines are built for local AI. Apple unveiled the new Mac Mini with M6 their first 2nm chip. Starting at $899. What you can run on the $899 Mac Mini (32GB) 👇 → Qwen 3.6 27B : fits comfortably, near-GPT-4 quality → Qwen 3 Coder 32B : full coding assistant on your desk → Llama 4 8B at full precision → DeepSeek R1 32B for reasoning tasks → 13.5x faster LLM processing than M1. 4x faster than M4. What you can run on the Mac Studio with M5 Ultra (512GB) 👇 → Llama 4 70B at high quality quantization → DeepSeek V4 with hundreds of billions of parameters → Frontier-scale models entirely in local memory → Connect four Mac Studios over Thunderbolt 5 cluster them to run trillion-parameter models locally Apple said their Mac business grew 30% last quarter largely because people are buying these to run AI models on their own desks instead of paying for cloud tokens. The future of inference is local. Apple built the hardware for it.
0:38

Apple is no longer hiding it. These machines are built for local AI. Apple unveiled the new Mac Mini with M6 their first 2nm chip. Starting at $899. What you can run on the $899 Mac Mini (32GB) 👇 → Qwen 3.6 27B : fits comfortably, near-GPT-4 quality → Qwen 3 Coder 32B : full coding assistant on your desk → Llama 4 8B at full precision → DeepSeek R1 32B for reasoning tasks → 13.5x faster LLM processing than M1. 4x faster than M4. What you can run on the Mac Studio with M5 Ultra (512GB) 👇 → Llama 4 70B at high quality quantization → DeepSeek V4 with hundreds of billions of parameters → Frontier-scale models entirely in local memory → Connect four Mac Studios over Thunderbolt 5 cluster them to run trillion-parameter models locally Apple said their Mac business grew 30% last quarter largely because people are buying these to run AI models on their own desks instead of paying for cloud tokens. The future of inference is local. Apple built the hardware for it.

Vaibhav Sisinty

407,975 görüntüleme • 16 saat önce