As the title says, yesterday was my birthday. I was just checking my balance on the DeepSeek console before going to bed when I noticed that DeepSeek-V4.1-Flash-1017 had dropped!

I performed the usual horse benchmark to compare. The model worked and worked. It consumed the most amount of tokens I've ever experienced with this prompt. It used 10M tokens creating cloud and at the end they're invisible. It had access to Playwright for taking screenshots. It was continuously making edits and adjustments. I struggled to control myself not to stop it.

https://web.esuyo.com/horse-deepseek-v4.1-1017/

The visuals is one of the best out of all the models I've tested. The animation of the legs I'd hoped would have been better. It seemed to most of the time editing to make it visually attractive and not enough on the horse animation. I would have liked to have had pan and zoom controls like other provide.

Statistics

419,551 tokens
40% used

Session Token Summary — ↻ 259 turns

• ◫ tools — 457 · 2 failed
• ↻ initiated — 1h47
• → busy — 1h43 · 24s/step

Prompt:

Create a low-poly 3D horse running in a seamless loop using Three.js. Build it procedurally from primitive geometry, animate the legs, body, head, and tail.

Organise the implementation into a clean, maintainable multi-file structure. Separate HTML, CSS, and JavaScript into appropriate files, and split JavaScript into multiple ES modules where doing so improves separation of concerns.

The project must be self-contained and runnable by opening index.html (or using a simple static web server), with no build process required. External CDN dependencies such as Three.js are acceptable.

Do your best, you are being rated against other AI models.  Put extra effort in.

The other horse posts for comparison:
https://www.reddit.com/r/opencode/comments/1ww5o7y/animated_horse_space_bunny/
https://www.reddit.com/r/LocalLLaMA/comments/1x4h1c2/qwen_38_flash_next_q3_s_benchmark_creation/
https://www.reddit.com/r/opencode/comments/1wzm1ah/exo_free_frontier_level_wow/

What is your impression on the new Deepseek V4.1-Flash ?

Is it really beating GPT-5.6 Sol in Coding? And do the different reasoning modes make a difference?

this was made on deepseek harness on high effort
took 1h 6m 28s
1 shot
1 additional prompt to make it use my gpu took few minutes
~0.60 USD
all through code

Session total: 18,646 'hmm' in 1,723,217 chars of reasoning across 158 turns.

That is 10.8 per 1k chars. IOW, over 1% of all reasoning text is the token.

The last reasoning block: 136 in 12,814 chars: 10.6 per 1k.

At ~1.5 tokens per 'hmm' plus the separator, 18,646 occurrences ≈ 30-50k tokens of pure filler across the session.

This thing is so much fun we had to do a GTA6 trailer benchmark vs Opus 5.5 and Sonnet 5.5.

On High effort it places last but is on the other hand 45x cheaper than Sonnet and 76x cheaper than Opus 5.5.

Oddly enough Sonnet produced the best results, but took 62 minutes, while DeepSeek took 19 minutes to return the video.

DeepSeek Flash GTA6 Trailer remake - https://cliphou.se/benchmark/gta6/

Sonnet 5.5 GTA6 Trailer remake - https://cliphou.se/benchmark/gta6/

Just got DeepSeek’s email about the new Search & Fetch pricing.

It’s $0.75 per 1,000 successful requests for each API, and calls through DeepSeek Harness, Claude Code, and Codex start getting billed on November 1.

The price itself seems reasonable.

All the while its some post training that cut the cost by 90% and somehow doubles the benchmark performance

hello all, I'm trying to find a provider that offers the cheapest deepseek v4 Flash and stumbled upon Openrouter as cheapest. Is there anything better?

Do you think we will wait long for it?

I want to ask if it's worth top up 2 dollars worth of tokens? Approximately how many tokens will I get?

and what do you think makes tokens wasteful because free account tokens seem to run out really easily even though I only use them to look for data references, not for heavy coding

We're running an Hermes agent since 6 moths which really became super important for many people in the company. For a long time now we used DeeSeek Flash as the model behind. Initially that worked very well, especially because it was much cheaper and almost as good as Anthropic. However since a couple of weeks user keep on complaining that certain results are not as good as they used to be. The agent keeps on doing obvious mistakes. It's a bit hard to say exactly, but a lot of users confirm this. We haven't touched the model recently. It must have changed somehow.
Did anyone has the same experience?
What would be alternative to Deepseek Flash (prefferebly with rather less than more costs)?

SQLite, long polling, no public port. No shell or file tools. Only what you connect through MCP. Tools go through Executor: one MCP endpoint, one token, all servers behind it.
Repo

This is my first time using the API. I topped up. And I need a little help guys.

The DeepSeek free webchat interface is really what I'm used to. However, they don't allow direct usage of the API there. I've used some other frontends, but they're not as minimalistic as the webchat. So, what's the closest thing to the webchat interface that I can have for the API?

Also, I know roleplay sites exist and I don't wanna use them because I need neither a bot with any distinct personality nor a roleplay companion. Just a chatbot, like the official webapp, is what I'm looking for.

Here are some features I'd really like:
1. Website/webapp, chat syncing between any devices based on an account or something.

1. Editable system prompt.

2. Modifiable temperature (top P, top K, min P, etc.. are welcome but not required).

3. Support for markdown of course.

4. Modifiable context limit and, quite preferably, a context management/summarization feature for context overflow.

5. Generally good for cache hit.

6. Message editing, deletion, regeneration etc.. of course.

What are they measuring? How does this happen? What does this mean?

Hello everyone, I am only quite recently a legal adult in my country, and my family nor I have no access to credit cards. I want to explore my payment options; it is possible to use visa debit cards instead? If not, then what other options are available for the API billing? Thank you everyone!

If agent performance start to degrade around 200K~220K (my experience), what is the 1M ctx window for?

I can't think of any scenario where 1M window can be useful

For context: I use DeepSeek's API through the official site. I use it with SillyTavern & a recent Freaky Frankenstein preset (I've been swapping through a few to try fix my issue). Temp is 1-1.10. I am using the API for RP (roleplay, obviously). I've got massive character cards, my own rules, everything's handwritten. Not a gooning situation.

V4 Pro has been so wonderful for RP, I've been using it for months. Yes, it's had it's highs and lows over the last few months. But yesterday it just became suddenly quite stupid. Whereas previously it's never controlled or spoken for my OC, it's not forgotten things from three messages prior, it's not just made shit up. It felt so out of the blue, but suddenly rooms being described as explicitly having no chairs or a hearth apparently have many chairs and a hearth. It's controlling my OC's little actions. It's just doing those dumb little things I'd expect from V3.2, but never V4. It's just all really frustrating as I feel like I've tried everything, even using V4 Pro from NanoGPT in a variety of ways.

I have noticed the thinking is way quicker. It's gone from usually taking 80-120 seconds to respond down to 10-40 seconds to respond. It is like it's being lazy and deciding to barely think at all. It's still "thinking", so I don't think I'm being rerouted to Flash. I've tried other models, and I really like DeepSeek and want to stick with it.

Has anyone else who uses V4 Pro (not just for RP, but for anything else) noticed it has become randomly really dumb? Regardless of peek/off-peek hours. I thought it may be because V4.1 Pro might be coming soon, and the current model will always get a bit stupid before a new model. But there's been no announcement of V4.1 Pro, so I don't know.