Introducing DeepSeek V4.1 Flash 1017 Abliterated, live now on Morph, available through our Model APIs.
It feels more important to release this than ever before, with hacks in the past week affecting everything from PHP to recognizable brands like Railway and OpenCode.
Attackers now run abliterated models against your infrastructure 24/7. You need to do the same in defense.
That said, we're not allowing just anyone to sign up and use this. You'll have to go through KYC and explain your intentions first.
Fill out the form here to request access:
morphllm.com/privileged-acce…
DeepSeek V4.1 Flash Abliterated from Morph is now live on Opper AI.
@morphllm launched it last week for defenders, so they can run the kind of model attackers already use against their own infrastructure, for red teaming, vulnerability research and agent evaluations.
Access stays gated like on Morph: sign up, tell us your use case and we enable it on your account.
opper.ai/morph/deepseek-v4-1…
Our @coinbase integration is live.
Agents will pay for intelligence on tap at runtime and will become cryptos highest volume use case
Thrilled to partner with them
Stablecoins are the perfect way to pay for inference: global, no amount limits, no chargebacks, and up to 57% cheaper than cards.
That’s why we partnered with @morphllm to bring USDC and USDT payments to its platform.
6 networks. No gas fees. 500+ wallets supported.
Morph retweeted
We're excited to announce a new partnership with the team at @morphllm to bring the latest abliterated open models to MindFort Swarms.
In response to the rapid increase of agent-led cyberattacks, we needed a partner that was able to meet the inference requirements needed to run large scale agent swarms.
MindFort is designed to let teams safely deploy security swarms to quickly find vulnerabilities in their products and services.
Try today: mindfort.ai/morph
why we are controlling access morphllm.com/blog/uncensored…
We're live on OpenRouter with DeepSeek v4.1-1017
Clear improvements on agentic coding across the board
DeepSeek V4.1 Flash 1017 is live on OpenRouter with DeepSeek as the first provider and many more providers on the way.
@deepseek_ai's update to V4.1 Flash is more token efficient and shows major gains in agentic benchmarks.
Use it now: openrouter.ai/deepseek/deeps…
We're live with deepseek-v4.1-flash-1017
🚀 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
Morph now has the highest cache hit rate out of any provider serving Kimi K3
$200 spent on morph gets you 15% more Kimi tokens than that same $200 would on Modal and 64% more than it would on baseten
will be doing the same for GLM-5.3 next
Morph retweeted
the one-man inference provider
i hit a $6m run rate as a solo dev
morph was 1 person until last week
the first inference provider to be live with kimi k3 without early weights access
250 customer slack connect channels
i could've made morph a 1-person $1b company, but it would've been for the Ego instead of whats optimal
we are no longer a 1-person company.
but we will be the first 10-person $10b company.
everyone joining has had multiple offers from frontier labs
if you’re top 0.0001% at having adhd, dm me
Morph 🤝 SGLang
We're working with the @sgl_project and @lmsysorg team to push open-model disaggregated inference faster together.
First up is Kimi K3 Fast, served at up to 100 tokens per second through Morph's OpenAI and Anthropic-compatible APIs.
This is the beginning of a deeper collaboration around low-level optimization and high-performance open-model serving. More soon.
morph has signed the open weights letter
open weights matter because the gradient of capitalism corrupts absolutely in the absence of fair competition
thanks to @Microsoft for starting this and @JensenHuang for spreading it
Morph retweeted
Replying to @morphllm
@morphllm has signed the open weights letter
the models train on the inheritance of humanity. humanity should remain capable of possessing, understanding, and extending them.
the deepest argument for open weights is not that open models are cheaper, or even that they create more competition. it is that models are compressed civilization.
they train on the accumulated work of scientists, programmers, writers, artists, institutions, open-source communities, and generations of people who made their knowledge legible to others. model developers add enormous amounts of engineering, compute, judgment, and risk to this inheritance. that work is difficult and deserves to be rewarded.
but it would be a strange equilibrium if models could learn from the open output of an entire civilization while the resulting intelligence remained available only through a small number of closed interfaces.
open weights turn intelligence from a service you receive into a material you can work with. you can inspect it, modify it, specialize it, run it on your own infrastructure, and preserve what you build on top of it. a hospital, factory, university, startup, or country can accumulate capability without depending on the permission of a single provider.
this is how real technological ecosystems form. not around one perfect oracle, but around thousands of people adapting a shared foundation to problems its original creators could never have anticipated.
there are real risks to releasing powerful models, and openness is not automatically safe. but concentration is not automatically safe either. a future built around a handful of closed systems is fragile in ways we are only beginning to understand.
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…






























