321–330 of 474 posts
I always find it confusing that a meaningful volume of the comments are saying "this reached parity with SOTA models. Best $/task." And a meaningful chunk of the comments are saying "this piece of garbage isn’t even at the level of gpt-oss 20B".
I've been using it extensively since the release and the best summary I can give is that it's good enough to use it for (almost) everything and cheap enough that the cost are irrelevant. I'm running it in Oh My Pi with a second instance running as "advisor" and even with 5-6 active sessions (effectively 12 streams) I'm struggling to spend more than 5 bucks per day. OpenCode Go even has double limits temporarily so fo…
What's normal usage? I mean, Kimi is already really keen to spin of lots of subagents, and DeepSeep can probably do the same?
> The beauty of intelligence at this cost (even if it's not SOTA) is that it opens a whole bunch of new use cases. Test failure in CI? Have the bot automatically propose a fix, its cheap enough that you can discard it w/h issues.
Yes, though I did that even with Claude (on my employer's token budget). The agents are great at doing the gruntwork of chasing down the reproduction of flaky tests, too. They need some hand holding at first, but the guidelines are usually re-usable per project. (Claude specifically needs to be told to really concentrate on reproduction, and not eagerly start fixing the flake: if you don't have a reliable reproduction, you have no clue whether your fix actually fixes anything.)
Earlier quoted context omitted.
I think we put up with Fable's occasional hiccups because there's nothing better at the moment. I use Claude Code semi-heavily for my small business, and the $100/mo I pay for that is a rounding error compared to the value it provides. If I can avoid spending an hour or two "massaging" the output from a lower-end model once, or it avoids introducing one load-bearing (sorry, couldn't resist) bug, then that's the entir…
Except Fable won’t be costing $100 for enterprises that will be considering the Chinese models. If $100 Claud Max subscription works for you, then great. But you have to remember your pricing is subsidized by enterprises that pay hundreds of thousands of dollars each month, if not more, to Anthropic. For those companies, a Chinese model that can cut their AI spend from $1M/month to $200k suddenly seems attractive. An…
Right now the US dominates everyone else in actual chips in data centers. So even if deepseek etc tries to undercut, they’re very capacity limited.
Earlier quoted context omitted.
If what you're saying is true and accurate, then US-based AI labs are in big trouble. The only saving grace might be some sort of a 'national security' proclamation banning the use of state-of-the-art Chinese (and non-US) models across US federal and state governments and large enterprises (especially ones with federal government contracts), but even still, US AI labs will probably lose out massively on international…
I think you're overlooking the fact that for long-horizon tasks, even small errors compound over time and can lead to catastrophic outcomes. For simple queries, we have reached the threshold since the beginning of the year, and models are good enough from every provider to make a meaningful difference between one another. (ChatGPT, Claude, Gemini, Grok, MuseSpark, Kimi, DeepSeek, GLM...) The real unlock will be, and…
The recently announced they're raising their prices 10x right? Which would put them... exactly where everyone else is on this graph. Edit: I seem to have misunderstood the news. I thought the magical cache read pricing was going away (0.002) and they were going to be on par with everyone else (0.02). But I have no idea. Edit 2: Apparently, neither do they! >We plan to raise the overall pricing for DeepSeek API servic…
Where does this "10x" comes from?
https://openrouter.ai/deepseek/deepseek-v4-flash-0731#provid...
Sort by cache read.
I'm not sure about all these benchmarks, I did some very simple tests (I have my own benchmarks https://upmaru.com/llm-tests ) and these models fail, not sure if it's the inference provider or the model. They seem to be optimized for benchmarks more than real use cases. Do anything outside their distribution (even if it's not complex) they fail. I Compared Deepseek V4 Flash 0731 (low) to Gemini 3.5 Flash Lite (minima…
You're using it on low, that's why. There's a huge difference in performance from low to max effort.
Not sure why I was downvoted. But seems the downvoter is quick to downvote anything that doesn’t fit the narrative they’re looking for. I’m just reporting my findings.
I've been using it extensively since the release and the best summary I can give is that it's good enough to use it for (almost) everything and cheap enough that the cost are irrelevant. I'm running it in Oh My Pi with a second instance running as "advisor" and even with 5-6 active sessions (effectively 12 streams) I'm struggling to spend more than 5 bucks per day. OpenCode Go even has double limits temporarily so fo…
I always find it confusing that a meaningful volume of the comments are saying "this reached parity with SOTA models. Best $/task." And a meaningful chunk of the comments are saying "this piece of garbage isn’t even at the level of gpt-oss 20B".
For anything even moderately complex.. like, even low end of complexity, this model behaves maximum like gpt-5.6-luna-high .. nothing more.
Yesterday itself I gave it a coding task in some existing moderately complex small project, and i was using xhigh thinking effort, it was unable to cover all edge cases... and i had already got it to review, and then fix, 3 more times, after the first initial one.
Still it left 2 edge cases.
Then, reverted full code, gave sol-high the same task, it took well over 20 minutes, and completed it in one go with zero edge cases remaining.
I am not using it for anything serious anymore.
Earlier quoted context omitted.
Except Fable won’t be costing $100 for enterprises that will be considering the Chinese models. If $100 Claud Max subscription works for you, then great. But you have to remember your pricing is subsidized by enterprises that pay hundreds of thousands of dollars each month, if not more, to Anthropic. For those companies, a Chinese model that can cut their AI spend from $1M/month to $200k suddenly seems attractive. An…
Didn’t deepseek recently announce prices will go up significantly? Right now the US dominates everyone else in actual chips in data centers. So even if deepseek etc tries to undercut, they’re very capacity limited.