r/DeepSeek

Did anyone have the same problem?

Two days after top up, today my card was charged by Deepseek for something they called FX fee

I got really excited when I noticed it. On one chat, I had asked for help with some code, and when I started a completely new conversation, DeepSeek replied with:

"Once I have these, I can produce merged, ready-to-use code with all three features integrated, including the 'Share to Timeline' from our previous discussion."

I only needed help fixing a bug, but seeing it remember something we had discussed in another chat made me realize:

YES DeepSeek finally has a memory system! 🚀

It's great to see conversations carrying context across chats instead of starting from scratch every time.

It seems to me that purchasing credits using CNY is much cheaper as there is no VET costs. Does it sound right?

Been on OpenRouter for V4 and the quality's great, but the per-request cut stacks up once volume picks up. Considering going direct, or moving to a provider without the markup, ideally one that still lets me switch between models per task. What's working for you in production?

Honestly, this is no bullshit. I have been using DS api for 5 weeks now coming from Codex. I have built multiple applications and I am in the middle of building a website with thousands of pages of content using a complex search. It's absolutely unbelievable how good it is from the design to the content, I literally cannot fault it. And it costs pennies man!!

I am using the CLI with Reasonix harness and I honestly couldn't ask for more in terms of the results it's giving. The only thing I suppose I could be doing what others aren't, is steering is via the use of ChatGPT prompts.

Any questions just ask as I really don't understand why people dont rate it.

So in my previous post people were saying either Reasonix or Pi. I personally use Hermes Agent and I don't understand why a guy even said that I'm suffering. How does that even makes sense? I even modified Hermes Agent's config.yaml to make it even better. What can be so special about these that people glaze them over Hermes Agent? Yes I don't bother checking because I don't seem to trust the glazing. There's a lot of stuff I would like Hermes adding. For example: lazy tool loading, error pattern library, emotional state detection, token pruning (on low value or redundant tokens), and etc. And there's just no way I can do all with Pi it doesn't makes sense.

I am waiting for clarification.

Right now Pi and Reasonix seem to be people's "favorites"

Hi, i am very new and could be doing something silly so please help...

I recently got Reasonix and DeepSeek v4 and trying to write some basic game with Unreal/godot engines. Reasonix will give me instructions as to how I setup/config/ projects but it won't do it itself in both unreal/godot or even simple hello world program in Visual studio. It will give me the code and details instructions but it just wont compile on it own or create unreal project and run it and correct errors automatically.

Is this expected or am I being noob? When I asked Reasonix why it can't do it and it says that it cannot access system outside of its sandbox.

I have used claude and opus 4.8 and that's happy to all the stuff above etc. It can even "see" game images and make corrections and update code. I don't really want bonuses claude due to cost and 5h limits etc.

Since last night my usage bill has been draining fast or am I imagining things?

Anyone confirm please?

At my company, we recently made a switch, transitioning from Claude to DeepSeek due to the high costs. It had become unsustainable for the business to maintain that level of expenditure, especially when models like DeepSeek offer almost the same level of quality, and in some aspects, perform even better.

Honestly, I believe that Chinese models are currently ahead of American ones, precisely because they are more cost effective and computationally capable without burning through a fortune in a highly unjustified and ill-conceived manner.

Curious which you guys use. I've been using Pro lately but it's obviously more expensive. Do you guys think Pro is worth the cost for creative writing? As in, does Pro write better stories in your experience? Or do you just stick with Flash?

I've been casually chatting with DeepSeek mobile app about random stuff (like cooking), but it suddenly stopped processing my long messages?

I admit I'm the type that often sends super long messages in one go (like, several thousand characters in a single message) because I love to ramble about stuff. But it hasn't been an issue until a few hours ago that it stopped processing my messages. The moment I send it, it would instant say "Sorry, this is beyond my current scope"

“In a possible development that is almost guaranteed to raise a lot of hackles in Washington, Microsoft is considering the use of a self-hosted version of DeepSeek's V4 model for Copilot Cowork, as OpenAI and Anthropic appear determined to price themselves out of the market.”

This news seems confirms DeepSeek V4 is as good as ChatGPT. This is huge. Let’s see if any other big guys are following.

I'm attempting to use deepseek to write plugins for a lesser known game engine. I've downloaded the scripting sdk and provided it as reference, but are there any other things that I can do to make it understand it more? It talks like it knows what it's doing, but takes 30 to 40 tries to make a simple feature work without errors.

deepseek v4 flash，the real god for poor people.

I can finish my tasks , most of the task with just free opencode with deepseek v4 flash; i dont even need to consider the v4 pro.

and the strange thing is , i dont think the v4 pro has a big gap with v4 flash, and v4 flash is really fast..

what do you think ...??

This model is very good for psychological thinking and thinks like that.
I spoke hours to him about professional relational issues that I had and it gave me new ways of seeing the problems.

When GPT, for the same context, can't resist to retain itself like "as a model, I can't answer that" and js so sycophant it's almost unreadable.

Deepseek is direct, seems unfiltered, and remains factual and straightforward. It's a breath of fresh air, and on top of that, the cost on OpenRouter is so low it's laughable. I talked all evening and it cost me less than 15 cents.

However, the flash is good but too concise, I prefer the pro version.

I can give a more detailled "report" of my thoughts on this usage if somebody is interested

I Built a 537M Parameter GPT Model and an AI Coding Agent as an Independent Learner

Over the past few years, I have spent much of my time learning and building in the AI space. While my path into AI engineering has been unconventional, one thing has remained constant: curiosity.

That curiosity led me to build two projects that taught me more than any course ever could:

🐱 Haney GPT

and

🐱 Haney CLI

Haney GPT

Haney GPT started as an attempt to understand how large language models work under the hood.

Rather than treating LLMs as black boxes, I wanted to learn about tokenization, transformers, training pipelines, datasets, optimization, and inference by building things myself.

Over time, the project evolved into a GPT-style model that I scaled to 537 million parameters.

The process taught me lessons about:

Data preparation

Training stability

GPU limitations

Evaluation

Model deployment

LLM architecture

Most importantly, it gave me a much deeper appreciation for the engineering challenges involved in modern AI systems.

Haney CLI

After working with language models, I became interested in AI agents and developer tooling.

That led me to build Haney CLI, an AI-powered command-line assistant designed for developers.

Install:

pip install haney

Haney CLI follows a BYOK (Bring Your Own Key) approach and currently supports multiple model providers, allowing developers to use the models that best fit their workflow.

Current capabilities include:

6 AI providers

10 MCP integrations

Plan Mode

Edit Mode

Developer-friendly CLI workflows

Extensible architecture

The goal is not to replace developers but to create a practical AI companion that can help with coding, research, planning, and automation tasks.

Lessons Learned

Building AI systems independently taught me that the hardest problems are rarely technical.

The biggest challenges are:

Understanding user needs

Creating good developer experiences

Handling edge cases

Maintaining simplicity while adding power

Every feature seems easy until real users start using it.

Building in Public

I continue to document my learning journey through projects, experiments, and open-source work.

Projects:

🐱 Haney CLI

📚 Sakthi Wiki

Sakthi Wiki is an LLM-powered wiki where I document concepts, experiments, and learnings from AI engineering, machine learning, and software development.

What's Next?

I am continuing to explore:

AI agents

Coding assistants

MCP integrations

LLM training

Developer tooling

AI-powered career and productivity agents

If you're building in this space, I'd love to connect and learn from your experiences as well.

Small steps, consistent learning, and lots of curiosity have brought me this far.

Let's keep building.

I had to give extra instruction to deepseek web to give me answer in english as it was giving me answer in the chinise langiage continusly.

Just curious. I only use Deepseek for creative writing. Ended up splurging on expanding lore and character sheets and now everything together is like 800k tokens lol. Still have a decent headroom for stories, but my greed consumes me lol.

each time i create new session, a mandarin characters wording here show as default title, is it cannot like other AI that automatically adjust the title when we do few conversation?

Something changed on DeepSeek side the last 48 Hours it seems.

Before the DeepSeek V4 Pro was quite fast but it will go in circles for quite a time to nail a highly complex problem.

Sometimes i asked me if DeepSeek is actually offloading me in the background to DeepSeek V4 flash instead serving me as DeepSeek V4 Pro.

Since now 48 Hours the speed of the DeepSeek V4 Pro lowered significant compared to before but boy the Intelegence skyrocketed a lot since then for me.

No matter what highly complex Problem i throw the last 48 Hours at DeepSeek V4 PRO it will just slay it with perfection.

I am asking me if the significant lower tokens speed in the V4 PRO model is a indication for a new Super Intelegence DeepSeek model.

Anyone noticed also reduced speed for the V4 Pro Version the last 48 Hours with a improvement in Intelegence and successfull accomplishment of tasks ?

As of right now all other AI Models look like very dumb stone age monkeys compared to DeepSeek V4 PRO API version.

I am just shocked how super intelegent DeepSeek has become the last 48 hour compared to all other AI Models while noticing the significant lower token speed!

Guys, I mainly use DeepSeek V4 for RP through a direct DeepSeek endpoint. I've been using the DeepSeek family heavily since the 0324 version, so I've run into a few recurring issues and found some workarounds along the way. If anyone else has hit the same problems and solved them, please drop your solutions in the comments.

**1 — Omniscience.** DeepSeek has this huge urge to make characters all-knowing, even when my prompt explicitly says not to. Like, yeah, the knowledge is there and the model knows it — but character X isn't supposed to know that *yet*. It keeps leaking info the character shouldn't have.

**2 — Repetition.** Across a lot of cards/worlds, DeepSeek loves to reuse certain phrases and generic character names. "Elara Voss" has to be the most generic, overused NPC name it's ever given me — I've seen it on like 5 different cards. It also constantly falls back on lines like *"no one has ever done that..."* and similar. I don't know the technical term for it, but DS really struggles to hold a natural, flowing back-and-forth conversation in RP.

**3 — Thinking in Chinese.** I've noticed that when the model does its reasoning in Chinese, it tends to ignore older prompts and the responses get worse. This happens even when there's zero Chinese in the conversation and I have prompts specifically telling it to reason in English.

Don't get me wrong — DeepSeek is the GOAT: it's super cheap and uncensored. But honestly, V4 is a bit of a letdown for me. It feels kind of generic and struggles to follow prompt instructions. Hopefully the next version improves on this.

So — has anyone found a fix for any of these?

I've been using AI agents like OpenCode, Claude Code, and Cursor for months. They're great with code, but when they need to search or browse the web, things get complicated: Cloudflare blocks them, JavaScript-heavy sites don't load, APIs cost money.

So I built browser-search.

It's three open source tools orchestrated by a skill, fully self-hosted:

• SearXNG — metasearch engine that queries dozens of search engines at once

• Camofox — full browser via REST API, always warm, for browsing and interacting

• CloakBrowser — stealth browser for when the site has Cloudflare, Akamai, or DataDome

The agent decides which tool to use. Zero human intervention. Zero API keys. Zero subscriptions.

What makes it different:

• It's a skill, not a plugin — works with any agent that can read instructions

• Automatic navigation escalation: if Camofox gets blocked, it switches to CloakBrowser

• Deep Research mode: the agent is instructed to go beyond surface-level answers, cross-verify sources, cover every aspect

• Integrated Readability.js for clean article extraction (~70% token savings)

• The is plain text — fork it, tweak it, make it yours

MIT licensed on GitHub:

If you try it, let me know. If you make it better, even more so. If you don't need it, share it with someone who might. Every star, comment, or pull request is welcome — that's what makes open source great.

Building my own Python harness (with Claude Code) and want to design around DeepSeek's caching from the start to cash in on the cheap cache-hit pricing.

For anyone running this for real — how do you structure requests to keep your cache-hit ratio super high?

Stuff I'm unsure about:

• How strict does the "static stuff first, variable input last" ordering actually need to be?

• How do you keep the cache warm before it expires?

• Any sneaky things that broke your cache hits (whitespace, token diffs, etc)?

• Just measuring via the cache_hit_tokens field, or something better?

500m for 2.36 usd in a single day.
Thanks Deepseek.

Hello friends from abroad. I'm from China and have used AI models like ChatGPT, Gemini, and Claude here, but they are a bit expensive. I'm curious—have you ever tried DeepSeek? I find DeepSeek-V4 to be quite impressive in terms of performance.

I believe the new 4.1 model could be released as early as this week! Typically, when a model starts appearing frequently with Chinese characters, it signals that changes will be made in the following days. This has been an observed pattern for nearly two years.

Giving something a go: remember in the first matrix when trinity hops in the helicopter and needs to learn to fly it? She calls tank, and gets every bit of knowledge downloaded to her instantly, making her a master helicopter pilot even knowing the mechanical ins and outs.

With this method designed using gpt 5.5 and implemented with reasonix running deepseek v4 pro, so far I have not had any stupidity. It seems to grab enough current knowledge from the web on the subjects necessary and not just what the model is trained up to via basic internet knowledge available at the time.

It does not seem to forget anything I ask for and I do not see the fucked going around in circles, getting nothing done loops anymore.

I keep seeing people ask some version of: “okay but what are you actually running DeepSeek through?”

So, here’s mine.

It’s called Aura. It’s a desktop AI coding harness built in Python with PySide6. DeepSeek is the default provider, because honestly the price/performance is kind of absurd once you put a real harness around it.

The basic loop is:

1. Planner reads the repo and writes a focused implementation spec.

2. You can review/edit that spec.

3. Worker executes it with filesystem tools.

4. Aura shows diffs before writes if you want manual approval.

5. It can run validation, revert bad changes, and optionally auto commit.

The whole thesis is pretty simple:

The model is fuel. The harness is the machine.

DeepSeek by itself is just the engine. Aura gives it rails, tools, memory, validation, brakes, and a workspace.

Proof it is not vaporware: Aura has been used heavily to build itself. Across May and June it pushed 2B+ visible DeepSeek tokens through real development work while building its own features, for roughly $70ish in API spend. That is basically why I kept going. The economics actually made sense.

The current weird thing I’m running is a Repo Gardener drone. It loops over Aura’s own codebase in the background, finds oversized god files, and refactors them into cleaner modules unattended. It runs a separate validation pass, reports what happened, and if validation fails, that becomes feedback for a bounded repair pass instead of just landing broken code.

A non technical friend installed it and used it to build a small python project. His review was:

Its working so fast it makes my monkey brain hurt.

Which is honestly about the best beta feedback I could have asked for lol.

Repo is MIT/free:

It is still early. Windows is the main tested path right now. There will be sharp edges. But it is real enough that I’m looking for a few people to try it on small projects and tell me where it breaks.

If you are already using DeepSeek for coding: what would Aura need before you would actually consider using it as your harness?

Estou indo dormir depois de 12 horas insanas, 12 horas que consegui avançar mais que em 12 meses de vibe Code - me julguem. Sou da época do html etc mas não avancei muito, me empolguei com as ias tive muitas fases mas hoje sinto que destravei.

Chega de mais papo, quero dormir.

Brinquem:

1- Reasonix - download desktop mesmo
2- Deep Seek V4 pró - api fácil de fazer super barata ridiculamente barata pro que entrega
3 - bônus - Hermes open source, meu novo best!

Valeu galera 🙏🤞 aproveitem se deliciem que doideira

Ps: vou ficar muito feliz se vocês compartilharem o que conseguiram fazer ou avançar com esses little toys

Hey all! First time posting here. Not really the kinda guy to rant on the internet, but I found myself frustrated and I didn't really wanna let this go. So I'm gonna be airing out some grievances.

For context, I've been using Deepseek for like months now, for almost every day. I essentially use the AI to run custom RPG Campaigns, and it's been one of my favourite things to do to have fun and unwind after hours of school or whatever it is I need to do that day. And Deepseek has been pretty much my go-to to do this. The response times are quick, the responses are usually very long, detailed and immersive which allows me to really get into it. Unfortunately, following the recent updates, this has become an increasingly difficult thing to do.

Now, I'm no expert on coding or anything of the sort. Far from it. However, you don't exactly need to be a rocket scientist to notice the significant downgrade that the chatbot has been hit with. I don't know what they did exactly, but ever since 2.1.8, the responses have not only been shorter, but also way less detailed and just generally less helpful. It's like the bot is now restricted from writing out more than two paragraphs that are more than five lines long. It's honestly so infuriating because it completely breaks the immersion. Of course, you COULD explicitly TELL the AI to make the paragraphs longer, but it'll usually remember to do that for only one or two responses before going back to being short, flat and unhelpful.

It's just sucked out all the fun, it's like talking to someone who barely wants to respond to you. The implementation of an edit limit on messages without a single warning that they were gonna do that was already bad enough. But noe the AI is just not as engaging or detailed as it used to be. These past few days have really soured my experience with Deepseek, and that really is sad to say. I don't have any friends who like to Roleplay, so this is pretty much the only way I can do this kind of activity. If they don't fix this in the next update, I don't see myself using this AI for much longer.

So, I'm gonna end this off by asking for some help. If, say, the devs do NOT fix whatever it is they've done during the next update, then I'm probably out. But, I also don't wanna stop playing my text ganes. So, do any of YOU know any good replacement for Deepseek if I wanna do this roleplay thing again? If so, I'd love to hear them. Thank you.

""Between two user messages, if the model performed a tool call, the intermediate assistant's reasoning_content must participate in the context concatenation and must be passed back to the API in all subsequent user interaction turns."

"If your code does not correctly pass back reasoning_content, the API will return a 400 error."

That's not a provider bug. That's a client contract. The API explicitly tells you what to send, and if your client doesn't send it, you get 400.

The docs even call out the exact tools where this breaks, they mention "complex agent requests (such as Claude Code, OpenCode)" specifically.

Https://platform.moonshot.ai/docs/api/chat

Opencode not the only one affected.

V4 Pro is expected to be Mythos level in 8 months, and we'll have V5 in about 12 months.

Though, I imagine if it's Mythos capable, a single prompt could easily run for an hour, so it'll be interesting how they handle this for free users. Like the model will know it can oneshot it, but it'll have to cut it into 5 prompts to not burn compute? Maybe they'll just give the average user a weekly limit of Deepseek V4 Pro, then switch to flash models.

Ok, so I'll keep it brief. While I am thinking of learning to code by myself further down the line, I've been using Claude Desktop (Pro Plan) to manage some projects (a website and some tools) for some months now.

I don't really do much myself, just tell it what's wrong and it fixes it mostly, and some research here and there, could someone help me find the best AI to migrate to for my needs? I believe an AI that can solve complex problems without any handholding would be what I'm looking for.

Thanks in advance!

glm-5.2 landed this week and it's already near the top of a couple coding boards, so instead of trusting benchmarks i spent two days running it against v4 pro on actual tasks. quick writeup since the sub keeps asking.

where glm-5.2 genuinely impressed me: long multi-step agentic work. it held context across a 12-step refactor without losing the thread, and the tool-calling felt a notch more reliable than what i'm used to. the leaderboard hype on that front isn't empty.

where v4 pro still wins for me: dense reasoning on one hard problem. i threw the same gnarly algorithm bug at both and v4 pro's chain held tighter, it caught an edge case glm glossed right over. v4 pro is also still the one i trust more on long chinese-language context.

the short version: glm-5.2 is the better agent, v4 pro is the better reasoner, at least on my workload. i'm keeping v4 pro as the daily driver and reaching for glm-5.2 when the job is orchestrate-a-bunch-of-steps instead of think-hard-about-one-thing.

anyone run them head to head yet? curious whether that agentic edge holds on your tasks or if it's just the honeymoon.

I mean... Deepseek is always #1 on AI RP, but because it's a generalist, we also have to adjust our prompts so it knows what we want. But if there's one specifically for AI RP, it's definitely better and smarter at writing and spicy content, right?

I am so addicted into coding with DeepSeek. It is very similar to playing games.

1. Simple input can cause big changes. And it is better than games because the changes are more real.

2. Uncertainty. The output is uncertain, which gives fun.

3. Your input can affect the output very much. This means you can improve yourself, and see the effects after changing how you interact with AI.

4. It provides you many things to do. Initially, you may think it is all done by AI. But you will realize you have to get involved very much.

5. It is slippery and crafty...

...

I've lost interests in games these days.

Hello everyone. I often do roleplay with Deepseek V4 Pro, but the high thinking mode is usually not enough for me. So the question for experienced users is is there any way to activate the max thinking mode? Or does it work depending on the complexity of the task? Probably stupid questions, but I don't understand it ^^"

I never needed the top tier, benchmark pushing models to begin with.

Most of my projects involved low level code or lacked the code complexity that demanded the best model out there. Deepseek was more than than capable to carry on what Claude was working on.

This is what I feel most people miss. They think they need the best out there to build, but in reality, you might want to check if your code base really needs that top models. Most models might be capable of producing what you’re looking for.

So I loaded up $20 each on both xiaomi and deepseek to use their models with a pi fork (oh-my-pi) and mimo 2.5 pro just hit me with this, reply first then content_filter at the end:

Found it. The chapter API at returns image dimensions directly:

  "images": [                                                                                                                                                                                                                                            
    { "url": "...00.webp", "order": 0, "width": 800, "height": 12343 },                                                                                                                                                                                  
    { "url": "...01.webp", "order": 1, "width": 800, "height": 12106 },                                                                                                                                                                                  
    ...                                                                                                                                                                                                                                                  
  ]                                                                                                                                                                                                                                                      

Every image has width and height. No need to scrape the DOM at all — we can fetch this API directly and get both the URLs and aspect ratios in one call. Want me to rewrite the main.ts to use this API instead of scraping .r-page-img?

⤵ 2.2K ⤴ 421 cache: 92K

The request was rejected because it was considered high risk

Error: Provider finish_reason: content_filter

Xiaomi is filtering requests which makes it as bad as openai and anthropic. I switched the model to deepseek and it continued on like nothing happened.

I'll keep mimo 2.5 non-pro as a vision default, but man am I unimpressed with the api service. Looking at the bright side though, it's open weights and you shouldn't have such issues if self-hosting.

Also the cache rate hit is not as good as deepseek, here's some numbers for comparison:

Pro Tier — deepseek-v4-pro vs mimo-v2.5-pro

Basically, for agentic usage (or more like how I use the agent) mimo costs almost 4x as deepseek. I know what I'm going to top up next month.

I wanna try the API, and wondering if it works well with non-code tasks. Its for an organized wiki kinda setup, with LOTS of my existing files.

Primary task would be to do indexing and understand direct and indirect connections between various pages that I already have and identify any discrepancy.

Secondary would be to create new pages based on query and related existing pages. It needs to be a bit creative for this. Would deepseek flash API be enough for this? I've not really used AI like this, so is 1M token usage pretty large or short per day?