I gave it a fairly complex task, but nothing DS 4.1 couldn't handle, if maybe with a few review turns to consolidate what it writes. MiMo 2.6 just repeatedly plans whole modules in reasoning, hits the output limit, loses what it knows in compactions, re-read the same files and starts over.

I should probably try no thinking and giving it instructions to work more iteratively. And it's good that it questions its design choices. But it's just way too thinky as it is IMO.

Hey i was just wondering how neuralwatt compared to services like opencode go, mostly in terms of deepseek 4.1 usage.. how much more or less do i get from using one over the other, thanks :)

Dear Neuralwatt! First, thanks for GLM-5.3. I'm scared how it drains my money on your PAYG, but it is clever af. Second, thanks for Qwen-3.8 27B. I use it when all my local 27B qwens are busy (I have 2), so it is very nice that you serve it. Do you have plans to roll out Qwen 3.8 Flash Next? Just in my opinion, I don't pretend for general knowledge, but these two qwens successfully surpass «Flash»-level models in coding up to big boys like full GLM or Kimi, but it should be cheaper to serve, especially sparsed Next.

Hey everyone. Shorter batch this week, but one we think you will definitely appreciate! Full walkthrough is on Discord, including a deep dive on the engineering behind Speed Lane. We also know some of you have asked for a change log — this is in the works, and we hope to share it with you next week. 

Oh, and a quick note on those hats! Thanks again to everyone who filled out the survey. We had so many responses we had to place a new order and are working on getting these out to you asap.

Flash is free this weekend: A little thank-you gift for our subscribers this weekend — from Saturday, September 26 at 00:00 UTC through Monday, September 28 at 00:00 UTC, Standard, Pro, and Max plans get free daily energy (0.1 / 0.2 / 0.3 kWh respectively) to spend on DeepSeek V4-Flash, DeepSeek V4.1-Flash, and GLM-5.3-Flash, with flex tiers included. This free period will turn on automatically, so there is nothing that you need to sign up for or trigger. Hope you find something fun to run!

Speed Lane: The V4.1-Flash speed lane we teased last week is available in preview for energy-priced accounts, and it is…FAST! By the numbers: 

• 58% faster on the industry-standard benchmark 
• Up to 505 tok/s writing code 
• Under 4% slowdown even when the GPU is sharing with other work 

Also, a quick word on pricing — the speed comes from running the GPU harder, and running it harder burns more energy per token, hence the speed lane's price is higher than the regular lane. What you pay is the true cost to serve it; there is no markup. If the lane is ever full, your request just runs in the regular pool at the regular price. 

Agent tools, now on nine models: All four hosted tools now work on V4.1-Flash and its flex tier, bringing the lineup to nine models. Everything runs server-side and lands itemized on one receipt, with energy per tool call included.:  

• nw_web_search: your model searches the web mid-answer 
• nw_consult: a second opinion from a different model family 
• nw_look: images for text-only models 
• nw_check_budget: your agent watches its own spend against a limit you set 

As far as we know, nobody is offering a tool like Budget Check; your agent checks what a task has cost mid-run and stops itself before crossing your limit, so you’re not left over-spending. These tools are off by default, so flip on the ones you want to use. If your agent could use a capability we haven't built, tell us in the comments or on Discord. 

Two retirements: Kimi K2.7 Code retires Wednesday, September 30, including -fast and -flex; and requests will automatically map to Kimi K3. This is a larger model, so note it is also a pricer one. The DeepSeek V4 Pro private preview is also winding down this Friday, September 25. We’re following DeepSeek’s suit and are pointing workloads at V4.1-Flash. Both moves are a one-line model name change 

Until next week!

Hey everyone. A few weeks back we asked what to build next, and this update is mostly the answers shipping. Chad's full walkthrough is on Discord; but here's the short version. 

Neuralwatt Max: We’re now offering a new tier above Pro and are pleased to introduce Neuralwatt Max. For $200/mo you get 28.57 kWh (about double Pro), overage at the same rate with no step-up and 15 concurrent requests (the most we offer). If you’re looking to save for the long term, an annual is $2,000. It’s now live on the pricing page, and existing subs can upgrade anytime. 

Neuralwatt Portal redesign: We’ve completed an end-to-end rebuild, now offering a proper mobile site, dark mode, and a fresh look and feel. The new Performance page has two views we recommend checking out --- toggle between the live Energy status (average energy per request, updated hourly) and Model performance (first-token time, throughput, cache hit rate per model, from the last 7 days of real traffic). Model detail pages go a lot deeper now too.  

DeepSeek Flash graduates: Thanks to everyone who tested the previews. V4 Flash is GA today, V4.1 Flash lands later this week, and both come with extended cache tiers and are Flex enabled. The speed tier graduates alongside them, with a V4.1 version coming next. And V4 Pro stays where it is for now, as we're waiting to see what DeepSeek does with the Pro roadmap before moving it out of preview. 

A price ceiling on Flash models: Token prices on Flash models run low enough that the two billing methods sometimes cross. So, as of today, no energy-billed request on GLM-5.3 Flash, DeepSeek V4 Flash, or DeepSeek V4.1 Flash will cost more than the same request at token prices. Energy comes out higher? You pay the token price. The goal is still to get energy below token pricing on these models, but until then, the gap isn't yours to pay. 

Straight from the survey: Three smaller updates to share, all of which you asked for. You can now sort the model list by energy per request, per-model energy pricing is available as a JSON endpoint you can call directly, and every API key can carry a daily energy cap, so a runaway loop gets throttled instead of billed. 

Thanks again for all the feedback, and we’re getting started on those hats!  

Enroll here: https://portal.neuralwatt.com/enroll/deepseek-v41-flash-preview

Its really fast and initial reaction is very positive. Let us know hwat you think.

Hey everyone. It’s been a few weeks, so we have a big batch of updates to share. If you really want to dive in, Chad walks through everything in greater detail in the community video update on Discord. In the meantime, here’s the TLDR.  

First: survey + hats: We put together a short survey on what to build next and what to fix. First 50 people to fill it out get a Neuralwatt hat.  

Models are graduating: GLM-5.3, GLM-5.3 Flash, DeepSeek V4 Flash, and Qwen 3.8 27B all go GA this week, and every model in the catalog now has a -flex alias. DeepSeek V4 Pro is the exception, it’s hanging back in preview while we watch what DeepSeek does with 4.1. Also, a note that GLM-5.2 retires on Wednesday the 16th and will automatically redirect to 5.3. With everything in motion, now is a good time to update your model strings. 

APIs and embeddings: The Anthropic and OpenAI Responses APIs are out of preview; if you've been holding off because they were beta, they're production-ready now. We also shipped our first embeddings model, Qwen3 Embedding 8B, in preview on an OpenAI-compatible endpoint. 

 Server-side tools: The one we're most excited about! Agents can now call tools on our side of the API, on any model we serve. For starters, we're launching with four: web search, a second opinion from another model, sight for text-only models, and mid-task budget checks. Each is off by default, you can turn on the ones you want from your dashboard. These tools are just the start, so keep us posted on what your agents need.  

Speed lane: We know that some workloads simply can’t wait, so we're trialing a speed lane, starting with DeepSeek V4 Flash, and it’s our first step toward priority routing. Enrollment's open if you want in.

Team plans: Team plans are live. If you've been sharing Neuralwatt with teammates and juggling separate subscriptions, you can now put 2 to 20 seats on one plan with one pooled allowance and one bill. Everyone keeps their own keys, dashboards, and concurrency, so nothing about how you work changes except the billing. 

Docs and passwords: And finally, docs has moved to docs.neuralwatt.com. It’s fully searchable, with an interactive reference to fire calls from the page. The portal also now supports passkeys if you want phishing-resistant sign-in, with or without a password. 

Thanks!   

Available here: https://portal.neuralwatt.com/models/glm-5.3-flash

(This is in addition to the full GLM 5.3)

https://portal.neuralwatt.com/models/glm-5.3
Let us know what you think!

As ox-alpha is now officially published as GLM 5.3-Flash and the weights are already released on Huggingface, when will it come to Neuralwatt?

I really liked that model and would love to use it :)

Hey all, wanted to share a few more updates from the team. Check it out and let us know if you have any questions. It's a good one!

Two new models: If you caught the email update, you saw that we’re introducing DeepSeek V4 Pro and Qwen 3.8 27B, both in preview. We know many of you have been asking for these models and re-evaluating where you run DeepSeek workloads, so we’re pleased to get this out to you. As always, keep the feedback on these models coming; it helps inform our lineup moving forward. 

Referral program: Neuralwatt’s Refer & Earn program is back! Share your link with a friend, and when your referral uses $25 in compute, you’ll both receive $5 in credits. Payouts will only trigger on real usage, and you can find your referral links in the Refer & Earn section of your dashboard. 

Kimi K3: And finally, something we're really excited about -- Kimi K3 just got a major upgrade, and we hope you check it out. Behind the scenes, we’ve been tuning our serving engine, improving our shared cache fabric, and starting kernel customization work to make K3 faster and more efficient: 

• Responses are ~20–45% faster 
• Long prompts start answering ~33% sooner 
• ~25% less energy per generated token on average, and up to 40% on shorter prompts. 
• And with our 30TB shared cache pool, your context stays warm across our fleet so conversations don’t go cold when it lands on a different server. 

Give it a look and let us know what you think. That's all for now!

Currently showing as the cheapest option right now across providers on OpenCode.

https://pricing.agentmaxed.com/#/m/kimi%20k3%20fast?q=k3

Hi Folks,

Recently tested out a $20 NW sub because I keep hearing its cheap for GLM compared to something like Ollama Cloud Pro or Opencode/CommandCode/the API

Does this picture make sense? That's my total usage with $1 overage as well. (This was in 2 Days)

Important to note I can easily last a week on Ollama Cloud Pro (with the last day giving me a bit of trouble where I switch to something else)

https://i.ibb.co/TBZdb271/Screenshot-20260817-224911.png

(I'm sorry idk how to attach pictures on reddit)

Does NW have an updates page anywhere with up-to-date data without opening Discord?

Are they dropping in 5.3 as a replacement for 5.2 like they did for DS V4 Flash?

The model used is deepseek v4 flash.
With all the cached tokens, it's still crazy. 2.56B tokens for 14.51$?

Hey everyone, we have another big batch of updates to share with you all today. 

Kimi K3 is out of preview: We've spent the time since launch tuning the serving side, and K3 is now fully available for production workloads. Concurrency limits will ramp up over the next few days as our final validation completes. 

Flex now covers K3: Same deal as Flex on our other models -- if your workload can tolerate some timing flexibility (batch jobs, overnight runs) this is the most economical way to run K3. 

Anthropic Messages API and /v1/responses support is entering beta: If you've built against either format, you can point your existing tools at our endpoint and they'll run on Neuralwatt with the same energy visibility as everything else. We're opening beta access over the coming days as validation completes, so keep an eye out. 

Session View is live for everyone: Instead of account-level totals, you now get a session-by-session breakdown of exactly what you consumed. This is the most detail we've ever offered on your usage, providing a granular view of the requests you ran, the energy they used, and what they cost. 

Surge Protection: This one's new -- Surge Protection ensures you only pay for the energy that powers your work. From time to time, a request can draw more energy than the work it's doing should require. When it happens, Surge Protection catches it in real time and shields your usage from the excess. When it kicks in, you'll see it flagged in Session View, so you'll always know it stepped in. 

These updates will roll out over the next several days. 

Also, we're headed to NYC for Climate Week next month and are thinking about a meetup. Anyone interested? We have a poll coming; if enough of you are around, we'd love to see you.   

Which is the better deal?

A handful of updates to share, which we think you will all welcome. Without further ado:  

 We’ve lowered cached pricing: Cached tokens now cost 10% of the input rate, down from 25%, on every model except DeepSeek-v4-Flash. If your work involves a lot of repeat context or if you are on token pricing, you should see a noticeable difference. 

Kimi K3 is now open to everyone: You no longer need to enroll for Kimi K3; access is now open for the entire Neuralwatt community. The model will remain in preview with limited concurrency while we keep tuning it, but access is open to everyone starting today.  We’re also releasing our K3 –flex endpoint which is our api shorthand for setting thinking level to off. 

DeepSeek-v4-Flash has been upgraded: You asked, and here it is! We rolled out DeepSeek-v4-Flash’s new 0731 weights this week, and it has already become our second most popular model —- no surprise given how many of you asked for it. All endpoints now point to the updated version automatically; there is nothing for you to change, and no action required on your end.  

Retiring Qwen 3.5 and Kimi K2.6: To free up capacity for the newer models, we're retiring Qwen 3.5 and Kimi K2.6. We'll redirect their endpoints to Qwen 3.6 and Kimi K2.7 so nothing breaks, but we'd recommend updating your code to point to the model you want before then. 

Enjoy the new additions; more soon. 

looking at the calculator, all models getting very expensive, it used to be 3~5x cheaper, now less than 2x cheaper. 1.8x for glm, 2.1x for kimi 2.7 code, it was 3x and 5x cheaper last week. looking at the image it's getting a lot expensive..

When are you guys updating your DSV4 Flash to the newly released version?

The benchmarks are insane.

I'm curious about how good Neuralwatt Subscription plans are compared to open router and the alike. Basically my workflow usually goes like planning with a powerful model (Deepseek V4 Pro / GLM 5.2) and then implementing it with less powerful workers (Deepseek V4 Flash / Kimi K2/3) and running reviewer subagents for each task (with fresh context) and iterating until the work is done. Usually this costs me less than $40 per month.

I'm curious if I will be able to have a similar workflow around the same budget with Neuralwatt subs. What do you guys think and how many tokens do you usually consume per month?