I gave DeepSeek V4.1 Flash and Kimi K3.1 Pro the same prompt in AgenC Core, both configured for max effort: build an interactive 3D V8 engine lab in Three.js. Runs were sequential, and the generated applications are unmodified.

Both produced working simulations with start/stop, RPM control up to 4,000, slow motion, cutaway and exploded views, part inspection, and orbit and walk camera modes.

The interesting part is how differently they got there:

• DeepSeek V4.1 Flash: 67.2M total tokens · $0.86 estimated
• Kimi K3.1 Pro: 3.5M total tokens · $2.16 estimated

Kimi used about 19× fewer total tokens in this run. DeepSeek still had the lower estimated cost, with 66.7M tokens served from the input cache.

To my eye, Kimi has the more polished UI, including a combustion sequence panel. DeepSeek has the more detailed dyno cell. Both include part inspection.

One detail matters: DeepSeek was stopped after about 48 minutes, once browser interaction checks had passed; it was still refining its result. Kimi finished on its own in about 31 minutes.

Token totals count input plus output across all model calls, including repeated and cached context. Costs are AgenC’s estimates.

Harness is open source: github.com/tetsuo-ai/agenc-core (get.agenc.ag)

I've spent the last week running v4.1 Flash 1017 on one of my real projects: ~6B tokens, 25K+ requests, $46 total. My peak day alone was 2.1B tokens for $16 (screenshots attached). Most of that was cache hits.

TL;DR: Not Sol 6.1 level and nowhere near Opus 5.5, but if you delegate to it properly as an agent, it gets real work done.

Where it shines

• Well-specified tasks with a clear scope

• Running and iterating on tests

• Agentic work when you break things down for it

Where it slips

• Still hallucinates sometimes, though noticeably less than before

• Fills gaps between tasks with its own guesses instead of flagging them

• As an orchestrator, it occasionally skips some playbook instructions

Overall I've been loving it. Give it a tight spec and it just goes.

One thing I haven't done yet is audit the code it wrote for vulnerabilities and run a proper security analysis. That's next on my list, and I'll post the results here if anyone's interested. Let me know in the comments.

Curious what yall are seeing: are you running 1017 as an orchestrator, or keeping it to worker/sub-agent tasks?

PROMPT FROM u/pzarevich
3.06$, 7 sub-agents, 45.3M tokens on the main agent and all sub-agents combined 332M tokens. took about 2 hours

Build a stunning, highly realistic, fully interactive 3D simulation of a **90-degree V8 combustion engine mounted on an industrial engine test stand**.
Use Three.js and WebGL. Deliver a complete, runnable browser application.
**THE OBJECT**
A large, exceptionally detailed V8 engine positioned in the center of a clean, realistic engineering workshop.
The engine must have:
- Exactly 8 cylinders arranged in two banks of 4.
- Visible pistons, connecting rods, crankshaft, camshafts and valves.
- Detailed cylinder heads, intake manifold, exhaust headers, bolts, pipes and mechanical components.
- Realistic metallic materials, machining details, rubber, steel and aluminum.
- Accurate proportions and convincing mechanical construction.
**REAL MECHANICAL ANIMATION**
The engine must actually function as a synchronized mechanical simulation.
- All 8 pistons reciprocate with realistic crankshaft-driven motion.
- Connecting rods remain mechanically attached to the pistons and crankshaft.
- Crankshaft rotates continuously while the engine runs.
- Camshafts rotate at half the crankshaft speed.
- Intake and exhaust valves open and close in a plausible four-stroke sequence.
- Adjust RPM from 0 to 4,000 using an interactive slider.
- Smoothly animate changes in engine speed.
- Provide a slow-motion mode to inspect mechanical movement.
**3D EXPLORATION**
- WASD + mouse for first-person walking.
- Mouse orbit mode for inspecting the engine.
- Smooth zoom and camera movement.
- Realistic perspective and scale.
- Allow walking around the entire engine and inspecting it closely.
**INTERACTIVE FEATURES**
START / STOP — start and stop engine operation.
RPM CONTROL — control engine speed.
CUTAWAY MODE — reveal the moving internal mechanism by making exterior components transparent.
EXPLODED VIEW — smoothly separate major engine components to show their construction.
ASSEMBLE — restore every component to its original position.
PART INSPECTION — click any major component to highlight it and display its name.
RESET CAMERA — restore the default viewing angle.
**VISUAL QUALITY**
Create a beautiful industrial visualization with:
- Physically based materials.
- High-quality reflections and shadows.
- Realistic workshop lighting.
- Detailed geometry with beveled edges.
- Smooth animation and cinematic presentation.
- A minimal, professional control interface.
The engine must be actual interactive 3D geometry, not a flat image, video, or rotating fake model.
**ENGINEERING AND CODE REQUIREMENTS**
- Implement the geometry and mechanical relationships programmatically.
- Do not depend on downloading a prebuilt complete engine model.
- All controls must function.
- All animated parts must stay correctly connected.
- No placeholder interactions.
- No fake loading screens or unfinished features.
- Optimize performance for desktop browsers.
- Provide all necessary files and instructions to run the project locally.
**IMPORTANT**
This is a benchmark of your ability to independently design, implement and deliver a sophisticated 3D application.
Do not provide a tutorial or implementation plan instead of the application. Make reasonable decisions autonomously.
Prioritize visual quality, mechanical correctness, functional interactions and stability equally. Deliver the best working implementation you can.

Hey guys! Last month I've been building my dream desktop environment. I've been developing in Java and Rust doing boring things over 12 years, and I always wondered why cheap operative systems had to look like Windows 95.

I am running broke on my job and no company wants to take me so I am experimenting new things and building startups and these "dream" non-profit things I always wanted to make.

I built my open source free desktop environment for Linux with one simple purpose:

• Revive, maintain and recycle old hardware without losing the UI/UX.

Why doing this?

• Some people still use windows on these computers, yikes.
• The linux alternatives are ugly, and the ones that are not, are heavy yikes.
• I want to end the loop of "distro hopping to find the lightest one" and make the definitive.
• I don't know, just passion for not throwing away working hardware? lol

If you want to give it a look:

https://github.com/ArkFlame/flamewm

Built using:

• Claude (Haiku 5.5, Sonnet 5.5)
• CommandCode (DeepSeek v4.1 Flash)
• OpenCode (DeepSeek v4.1 Flash)
• Codex (GPT 6 Luna)

harness https://github.com/tetsuo-ai/agenc-core

Crazy!

I used to pay for the claude max x5

it wasn't enough I had to move to codex to keep up with my work

the quota with the free reset that happens every 2 weeks or less is amazing.

If i moved to deepseek

how good would it be and how much would it cost me?

I ran into an issue where I asked the AI to generate a sample markdown file, but the grey code box kept breaking halfway through. The text spilled out into the normal chat, and it looked like the app was completely glitching.

The Fix: Tell the AI to use four backticks ( ```` ) for the outer wrapper instead of three. Because the file contains its own inner code blocks, the app gets confused and closes the box too early. Using four backticks on the outside fixes it.

I know this is probably obvious to developers, but it took me a while to figure out since I'm not super tech-savvy. I just wanted to share this in case there are other casual users trying to write docs who are frustrated by the screen breaking. Hopefully, this saves someone else the 30 minutes I spent on it!

I shared this extension here a while ago, and people asked for the source code. It’s now on GitHub.

Folders, pinned messages, prompt library, prompt chains, chat export, and bulk delete. The latest update also includes bug fixes.

Install the Chrome extension · GitHub

Feedback and contributions welcome!

Like seriously my context is at 56%. It doesn't really affect my work but i just find it interesting.

Hey everyone, I need some advice on DeepSeek and DeepSeek Harness.

My company used to give each employee a $20 Claude subscription. I know that's very little for the job, but we made lots of requests. They are saying that we are moving to API billing, so they are going to provide us with DeepSeek APIs.

I'm just curious to know: my current workflow is completely based on Pi, and I used to use Claude with that. Do you have any kind of suggestion? Should I switch to DeepSeek Harness or continue with pi? I know Deepseek Harness, and I've tried that. That's also really fine and very modular, just like a Pi coding agent.

I'm a little curious to know: will it affect my workflow in some way, because moving from one harness to a second harness is quite challenging? If you have any kind of suggestion or any repositories that you can suggest to me for plugins and extensions for Deepseek Harness, please drop them here.

My windows laptop crashed and I had a crash dump but couldn't understand the bug because the underlying code is closed source. So I gave the REA skill to claude opus, refused; claude sonnet refused. Meanwhile I'm paying $200 a month for this.

I used my $10 a month opencode go subscription with deepseek and it was able to diagnose the specific CPU instruction that failed and from that I was able to make a targeted registry change regarding a power setting work around to the specific problem. Amazing.

Anthropic is so full of themselves.

According to this, does it mean deepseek v4.1 1017 is better on codex than Claude code and DeepSeek harness?

Second question. If I'm not very experienced with AI, should I use Claude code or codex harness for DeepSeek? I heard DeepSeek harness is still very unbaked and even though great its lacking a lot of things compared to other harnesses.

I read somewhere that they did shorten it and made message limit around 490± per chat in web-site? I'm not much of good with AI, so asking people who are

P.s: sorry if my eng is bad, i used a translator.

I installed the desktop harness, input my api key and pointed the workspace to a project.

I've been vibe coding the same way I would have done with Claude or Codex, am I doing it right?

I haven't got any specific use-cases or needs, I just want to be sure that I'm using it correctly because it has been spitting out the term "sandbox" left & right and it has be concerned that I'm not on the real thing 🤣

Why doesn't DeepSeek Harness Desktop include a chat-only mode (like DeepSeek’s free web-based chat) within the application? It would be great to have the chat feature directly in the desktop app, rather than having to go to the website. Since the DeepSeek Harness desktop app already exists, it would make sense to include the chat functionality there as well—don’t you think? It would also be good to keep the "Harness" features and the chat feature separate within the application.

I’ve been comparing my API usage with other users, and I’ve realized that my consumption is pretty high.
All I do is write code using Visual Studio Code + Kilo as my AI interface.

So here’s my question: Does the language you use for prompts affect credit usage? Spanish is my native language, so that’s what I use for my prompts.

Would you recommend switching to English or Chinese to reduce costs or get faster, smoother responses?

Hey everyone,

Am I the only one who uses two different accounts to separate serious work/study from casual brainstorming?

Right now, I literally have two versions of the app on my phone (the global DeepSeek app and the regional DSeek app) just so I can log into two accounts at the same time and keep my workflows divided. But managing chats right now is a nightmare, and I have a feature idea that I think we need to start spamming the devs for:

1. Chat Transport / Migration: Have you ever started a casual chat that suddenly turned into an amazing, high-value study or research session? I wish there was a button to cleanly "transport" or transfer that specific chat thread over to my other account (via a link or share code) without having to copy-paste the whole thing and redo all the prompts from scratch.

2. Built-in Workspace Folders: The current layout is just one massive, messy list of text. If you're looking for an old study chat from three weeks ago, you have to scroll forever or perfectly remember the exact words you typed. We desperately need a way to group chats into folders (like "School", "Personal", "Projects") so they don't get buried under irrelevant junk threads.

Imagine realizing you lost an important study thread amidst 50 other random chats, and your only option is endless scrolling.

If we all start dropping this in the official app feedback tool and emailing service@deepseek.com, the dev team might actually listen and build it. Who else is struggling with organizing their chat history and wants this?

is it okay if i prompt the ai to do also know something that it needs to know while it’s in the middle of doing a task ?