AI Lab developing unrestricted models & distributed inference ⟠ Over 5m monthly downloads on Hugging Face ⟠

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Joined January 2025
The Dolphin Inference API is now live Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models $30 free credits for the first 1,000 signups Start building with the cheapest API on the market → dphn.ai/API
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DeepSeek-V4.1-Flash-1017 is now live on the Dolphin API $10 in free API credits for the next 5,000 signups Lowest pricing on the market at $0.01 / $0.07 per million tokens dphn.ai/API
🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4
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This filled very fast so dropping another key API10 - $10 free credit for the next 5000 signups dphn.ai/API Cheapest DeepSeek inference on the market $0.01 / $0.07 with a 97%+ cache hit rate
The Dolphin Inference API is now live Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models $30 free credits for the first 1,000 signups Start building with the cheapest API on the market → dphn.ai/API
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Dolphin retweeted
Running @dphnAI API on my local machine using DeepSeek harness. 99% Cache hit, 0.2$ cost to use 16M tokens. 😍 base:0xed664536023d8e4b1640c394777d34abaff1df8f
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Great example of inference capital markets Today most of us consume inference via subsidized monthly plans, but these won’t last forever and many builders can only use API inference That’s where markets like @dphnAI come in, congrats on this going live!
The Dolphin Inference API is now live Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models $30 free credits for the first 1,000 signups Start building with the cheapest API on the market → dphn.ai/API
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Dolphin retweeted
GM AI V2 at @token2049 was a banger 🔥 @DineroDom0 sits down with @GatheringGwei from @dphnAI to talk about cheaper AI inference, their distributed GPU network, and Flipper(their multi-agent engineering harness) 👀Watch till the end for a limited-time code to claim $50 in free inference credits
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Our inference network processed over 8T tokens across 1.6k unique workers since inception During that period of time we were able to: • improve our anti-cheat systems • scale up to thousands of workers & GPUs across the globe • work with and around slow workers while still giving them the chance to contribute • cut worker setup down to a few simple steps • make routing much more stable in capacity recovery states Benchmarking of our multi-node DeepSeek V4.1 Flash pool shows a consistent 96-98% average cache hit rate on agentic usage The high frequency of cache hits results in the fastest & most cost effective API experience for prefill heavy usage that is typical with agent / harness workloads
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More models soon to be added to the API, including but not limited to -> • Minimax H3 (video generation) • Gemma 4 26B • Qwen 3.8 Flash • Qwen Image 2.1 Turbo • Qwen 3 TTS + On top of the $30 in free credits, anyone who signs up will be receiving early access to try our coding harness Flipper (more info on this in the linked post below) xitter.cf/dphnAI/status/21075151…
Replying to @dphnAI
Flipper is our multi-agent engineering harness The larger model plans & directs the execution of your project while frequently handing off well-defined tasks to cheaper workers running a smaller “economical” model This typically results in over 60% cost savings compared to using Astra directly with a minimal difference in output quality Notice the different types of subagents working in this timelapse
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CS 1.6 × MW2 mash-up running entirely locally in Google Chrome Built with 4.43B tokens of Astra & DeepSeek V4.1 Flash Our harness Flipper routed all low-medium complexity tasks (64% of the total work) to DeepSeek - which cut the estimated API bill by >60% vs direct Astra usage
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Flipper is currently in a closed beta with >20 people & will be open to the public soon We are offering generous amounts of DeepSeek API credits & hosted Flipper sandbox instances for beta testers who have something interesting they want to build If you are interested in testing, please reach out via DM with your experience & what you plan to build
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CS 1.6 x MW2 mash-up is live at cs.dphn.ai All game files are downloaded locally & run inside your browser with no internet connection required This build benchmarked at >32% higher FPS than Xash3D thanks to heavy optimization that was designed by Astra (high)

 & implemented by a mix of Astra & DeepSeek subagents Google Chrome is recommended for full screen mode as this bypasses hotkeys like Ctrl+W from closing the window
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📢 New Listing 🚀 돌핀(#POD) 원화 마켓 추가 안내 🚀 $POD/KRW will be listed on #Bithumb! 🔸 Details :feed.bithumb.com/notice/1655… #Bithumb #POD @dphnAI
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신규 디지털 자산 돌핀(POD) 거래지원 안내 ✅ 지원 마켓: KRW, BTC, USDT 마켓 📅 거래지원 개시 시점 : 2026-10-02 16:00 KST 예정 🔗공지 바로가기: upbit.com/service_center/not… #Upbit #POD @dphnAI
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Training Dolphin on top of @arcee_ai’s Trinity Large Thinking 398B across 72× RTX 4090 48GB GPUs using Prime-RL
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Dolphin Network - 2-week update 1.2 trillion tokens generated with Qwen 3.6 35B Peak of 126B tokens per day & 1.8m tokens per second 1046 GPUs online now w/ 49 TB of aggregate VRAM 612 H100s worth of idle GPU memory repurposed for inference datagen.dphn.ai
Dolphin Network V2 is live — our first major upgrade since launch The architecture was rebuilt from scratch in Golang -> - Auto-updates (no manual migrations) - NVFP4 as default on Blackwell GPUs - Higher utilization & network throughput via improved routing & load balancing
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Dolphin Network V2 is live — our first major upgrade since launch The architecture was rebuilt from scratch in Golang -> - Auto-updates (no manual migrations) - NVFP4 as default on Blackwell GPUs - Higher utilization & network throughput via improved routing & load balancing
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Will be running datagen on the network until we have sufficient capacity - at which point we will open up our inference API to the public In terms of what we are adding next -> - GLM 5.2 for 8xH200 / B200 / B300 nodes - Windows WSL + MacOS support - Inference API + Open Router - Audio gen - Image gen - AMD GPU + CPU nodes - Using idle network inference for RL rollouts during model training - Sharded inference with large models split between many consumer GPUs (see our initial report on sharded inference over the internet here drive.google.com/file/d/1bzn… )
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Watch the network live datagen.dphn.ai Run a node via our app v2.dphn.ai Docs for install process dphn.ai/docs/running-a-node
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