172 points theanonymousone 2 hours ago 39 comments
Onavo 1 hour ago | parent
https://www.reddit.com/r/DeepSeek/comments/1x84wke/deepseek_...
LinusU 1 hour ago | parent
randomblock1 1 hour ago | parent
risphere 1 hour ago | parent
alex-moon 1 hour ago | parent
mmmmbbbhb 1 hour ago | parent
ytxm 45 minutes ago | parent
Lovely to see they're doing their own search though, I love how many folk are actively working on search clones at the moment.
hmontazeri 1 hour ago | parent
olavgg 1 hour ago | parent
rpastuszak 55 minutes ago | parent
How?
fahrvrgnugen 50 minutes ago | parent
hugodan 43 minutes ago | parent
ramigb 42 minutes ago | parent
I am not saying OP is not telling the truth. I just really want to understand!
pheggs 32 minutes ago | parent
olavgg 35 minutes ago | parent
This is how one of my claude code session looks like right now, one prompt from yesterday:
◯ lean-tracks ▰▰▰▰▰▰▰▰▰▰▰▱▱▱▱▱▱▱▱▱ 7/12 · 18h35m · ↓ 3.1m tokens
◯ lean-tracks ▰▰▰▰▰▰▰▰▰▰▰▰▱▱▱▱▱▱▱▱ 6/10 · 17h47m · ↓ 2.6m tokens
◯ lean-tracks ▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱ 0/1 · 4h49m · ↓ 275.9k tokens
◯ lean-tracks ▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱ 0/1 · 4h30m · ↓ 395.0k tokens
◯ lean-tracks ▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱▱ 0/1 · 3h50m · ↓ 490.3k tokensimdsm 26 minutes ago | parent
I created a skill to better manage agents, including a way to keep the caches valid, and it has decreased my usage considerably. I now struggle to use my 100% each week and I hit claude hard. I have a reset expiring in 5 days and I'm trying to burn down the tokens (68% with 3d 8h left) quickly so I can use my reset before it expires.
Token efficiency just means understanding the way the system works. Best person to help with that... my old friend claude.
olavgg 23 minutes ago | parent
Claude: Confirmed: 195M of the 212M cache tokens (92%) come from full re-writes after 5+ minute gaps, accounting for 77% of relative cost. Now I'll check the existing wrappers so the skill builds on them.
iamflimflam1 13 minutes ago | parent
Can you invert things. What’s deterministic and what needs “thinking”?
Can you create a script that runs things chaining together the deterministic parts with calling out to Claude for glue that needs “thinking”.
nextaccountic 3 minutes ago | parent
Maybe doing bogus small requests to prevent the cache from expiring?
I mean in the API you can set the cache expiration time right? But I guess claude code can't do this
TomGarden 34 minutes ago | parent
monster_truck 25 minutes ago | parent
Maybe you're not being ambitious enough with these things? They are at their most fun when you spec out sprawling architecture documents and watch 1+8 astras buzzsaw through it.
I'm only at 260B for the year, though. I'm sure someone who has used more will be along shortly to chime in
E: The other subthread talking about tests is correct. Expensive models should not waste a single second waiting on tests or validation. If you cannot assign a single cheap model to be the test bitch, then just tell them to frontload everything and clean up later as a single wave.
ricardobayes 24 minutes ago | parent
tedk-42 11 minutes ago | parent
joshstrange 8 minutes ago | parent
> Have you shipping anything?
Yes, hundreds of PRs and shipped new features to 3 different platforms (day job and 2 side-business apps/platforms I’ve been developing for many years, pre-LLM). Those new features have gone out to customers and been used.
> Do you have income from this?
Well my day job for one, and I’ve been able to more easily sell to new clients with my side business. Without the changes I’ve shipped I would have been able to land a couple of the clients I’ve signed on recently.
I don’t think OP’s message implied they are never finishing a project, maybe they edited it?
In addition to the 3 income-generating projects, I have a number of other “just for me” projects. Some are mature now and only need occasional development when I want a new feature. Some are in flux as I build them out (like my “software factory”).
At this point I’m limited by compute and tokens more than anything else.
loveparade 7 minutes ago | parent
thomasmarcelis 50 minutes ago | parent
nickludlam 1 hour ago | parent
Right now I use each of them in their own respective coding harnesses, deepseek-harness and kimi-code, but I do wonder what they are like inside something like opencode.
epolanski 35 minutes ago | parent
epolanski 32 minutes ago | parent
At the beginning of the month I realized I had more tokens and more capabilities on Opencode at 8$/month via DS 4.1 flash, than I had on a 200$ account in June with the american providers.
Literally both more tokens and capabilities than Opus 4.8/GPT 5.5.
Even if you pay per token, you're still unlikely to outspend american providers.
gregwebs 22 minutes ago | parent
They are showing this new version scoring significantly higher across multiple coding benchmarks, beating Sol 5.6 (6.1 is the latest) across 10/11 benchmarks.
OsrsNeedsf2P 18 minutes ago | parent
First, it's the tok/s and TTFT from providers. Deepseek blazes through work - at quite good quality - and you don't find yourself waiting for your agents to finish.
Second is the openness. Being able to see the CoT and not being randomly blocked for cyber review. You're never wondering if it's stuck or if it will randomly fail. Combined with the great cost value.. My next subscription will probably be Z.ai
Oxodao 14 minutes ago | parent
petu 9 minutes ago | parent
If so OpenCode Go looks good and includes DeepSeek models (yet to try myself).
Philip-J-Fry 1 minute ago | parent
Some people would say that you don't need this at all with the frontier llms. But when extending existing software or writing software that fits into an existing ecosystem, I find I still need to offer a lot of guidance. And it's better that the context window isn't flooded with code that was reverted after I looked at it.
AmazingTurtle 4 minutes ago | parent
i let 4 different agents review the same dirty code base (200+ files changed, c++, game engine):
- deepseek v4.1 flash via deepseek API: took 20m to find one p1 issue that was relevant and a p2 issue that was irrelevant
- glm 5.3 flash NVFP4 via TP2 DGX Sparks: took 1h 5m to find a p3 documentation issue
- gpt 5.6 sol: took 5m30s for one p1 and one p2 issue. both relevant
- gpt 6.1 sol: took 4m30s for two p1 and one p2 issue. both relevant.
Worth to mention: none of those findings overlapped.
I let deepseek v4.1 flash and gpt 6.1 sol both plan fixes for the summary of the findings. in this particular scenario: gpt 6.1 sol planned to increase a buffer size from 128 to 256 to fit the 191 elements that blew past a test scenario. it included some headroom. deepseek v4.1 flash on the other hand decided to make it exactly 191 to satisfy the test, for example.
The TPS decode on deepseek is impressive. I never had a second / feeling of being left aone and though "damn this thing is working". Despite all my efforts, it took ~4x longer in a review, found less and planned worse than GPT 6.1 Sol. Wall clock time. I don't have token counts for comparison. If I were to grade those models from 1-10 (10 = top tier GG), I'd give deepseek a solid 6.5 and 6.1 sol a 7.5-8.0 maybe.