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DeepSeek’s Super-agent research prototype tries to reduce the reminders and handoffs around software work. Individuals can try it, but someone must deploy and supervise it first.
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DeepSeek’s Super-agent research prototype tries to reduce the reminders and handoffs around software work. Individuals can try it, but someone must deploy and supervise it first.
The $200 monthly plan keeps a weekly allowance, while verification determines whether a temporary session cap remains.
Google plans a staged rollout of its next frontier model, with introductory token prices and wider availability still to come.
DeepInfer gives developers a closer look at how DeepSeek serves its models. The decision to operate it depends on hardware, the missing service components and the workload that has to pay for them.
The hosted upgrade adds a faster option, while full model weights remain scheduled for release by November 4.
The collaboration turns selected crash tests into machine-checked claims about compiled binaries, with a smaller public proof set than the full reported experiment.
What people are discussing about the models they use.
pzarevich reports sequential runs with the same prompt and max effort in AgenC Core. Kimi K3.1 Pro used 3.5 million aggregate tokens with a $2.16 estimated cost; DeepSeek V4.1 Flash used 67.2 million with a $0.86 estimate. Most DeepSeek tokens were cached input. Kimi finished in about 31 minutes, while the author stopped DeepSeek after about 48 minutes although it was still refining the result.
In the repliesThe author clarifies that AgenC used peak pricing for DeepSeek’s estimate; an off-peak calculation would be about $0.43. Alternative_Web7202 questions the lack of evaluation criteria and calls the post promotion for the harness. Other commenters dispute mechanical details in the animations.
One shared-harness comparison with unequal stopping conditions. The post links the tool; the author’s financial affiliation is unverified. Token totals include repeated and cached context across calls, not just generated output. No simulation or bill was independently reproduced.
Original posted October 24 at 18:16:37 UTC. The post and author pricing clarification were read October 26, alongside the reply questioning evaluation criteria. Cost figures remain estimates.
xiazhi88 initially reports shorter thinking and fewer tokens for similar tasks with Kimi K3.1 Pro. In a later reply, the author, who had used a ¥699 K3 plan, says Highspeed feels fast but their five-hour allowance lasts less than two hours. They also say the same weekly meter already included a day of K3 use, estimated at about 20% of that weekly allowance.
In the repliesThe author later posts that the allowance is gone. flyfre also complains about consumption, while Kayak suggests a lower-priced plan might be useful mainly for planning and review. These replies do not supply matched task logs or a billing calculation.
One account switching between models and workloads. The post does not establish a new universal quota formula or show that lower API prices increase subscription capacity. API billing and subscriptions are separate products.
Original dated October 23 at 21:04 in the served thread. Author replies 2 and 4 and human replies 3 and 5 were read October 26; the post includes screenshots but no complete usage log.
RandalSchwartz describes storing agent rules, decisions and next actions in numbered files controlled by a Makefile. The author says Gemini continued a coding run after Claude Sonnet reached a quota limit, reading the state Claude had left on disk. A separate GPT-OSS 120B attempt reportedly ignored those files and produced repeated context resets and conflicting Git operations.
In the repliesQuanTradin emphasizes persistent state surviving the model switch. thelocalnode says recording rejected approaches helps avoid rebuilding failed ideas; the author agrees and links their own workflow write-up and templates. Neither reply independently reproduces the comparison.
The author promotes their own workflow. Exact Claude/Gemini versions, matched configurations and independently checked production logs are missing. Reported failures do not establish a general capability ranking or prove every model can safely share one working tree.
Original posted October 23 at 00:03:09 UTC. The author’s account and replies by QuanTradin and thelocalnode were read October 26. The workflow and comparison were not independently reproduced.
rivermao describes buying a ¥119 MiniMax plan after trying Space Bunny. In Hermes and then pi, they report slow tool execution, including a query script that stalled for three minutes. A direct request with an official MiniMax API key returned HTTP 529 with an overloaded-error message. The account and route used for each attempt are not fully documented.
In the repliesIn reply 2, the author says comparison runs used the same prompt, fresh sessions and rolled-back source code. On October 22, reply 17 says they submitted a refund request and again saw overload errors during short translation requests. That is a refund request, not confirmation of payment back.
One user’s incident across different clients and routes. Reasoning settings and full task logs are missing; the post does not establish a provider-wide outage or prove that the model changed after its preview.
Original October 21 at 02:38 UTC; numbered author replies 2 and 17 read October 23. Other replies give mostly unmatched negative impressions, not a controlled reproduction.
ChefJeff’s creator describes a cooking prototype where a person and an AI share tasks. The AI reads structured kitchen state and chooses from legal actions, rather than interpreting the screen. In a small trial, the creator says Jev and other decision models were usable, but preferred DeepSeek V4.1 Flash with thinking disabled to reduce latency.
In the repliesNo human replies were visible in the opened launch thread. The linked repository describes a beta with three levels and user-supplied model access; its default 200-call limit caps requests, not the dollar cost of a round.
This is a creator’s project promotion and early comparison, not an independent ranking. The current README documents checks with Jev and DeepSeek; other model routes are not all verified. No gameplay or latency test was reproduced for this summary.
Original October 21 at 12:07 UTC; original and linked README read October 23. The current repository permits a consented server proxy for Jev, alongside direct browser-to-provider routes.
Selected and reviewed Oct 26, 2026. Summaries reflect individual posts and replies, not a community-wide verdict.
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