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Kimi

Recent community conversations about using Kimi.

11 selected discussionsReviewed Oct 26, 2026
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Redditr/DeepSeekCreator comparison

User compares Kimi and DeepSeek on a Three.js V8 engine task

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.

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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.

LINUX DO分区:开发调优Subscription usage report

Kimi user revises an early efficiency impression after trying Highspeed

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.

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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.

LINUX DO分区:开发调优Capacity and coding report

MiniMax user reports script stalls, overload errors and a refund request

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.

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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.

Redditr/AI_AgentsMulti-model coding workflow

Developer splits planning, parallel coding and audits across Kimi, GLM and DeepSeek

rrtsehc describes using Kimi K3 for visual direction, architecture and algorithm specifications, then GLM 5.3 Flash for implementation. They report queueing parallel tasks, using file locks and staging to avoid conflicts, and running an audit after every ten tasks. DeepSeek V4.1 Flash and other models provide additional feature ideas and code reviews. This is a personal workflow rather than a controlled comparison.

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In the repliesSubject-Mine4885 says they also use GLM for coding but have not tried dividing roles. 9kSs asks which coding tool or agent framework is being used. BusinessData5321 highlights file conflicts and asks whether the audit catches model mistakes or mainly integration problems.

The post does not specify the coding tool or agent framework or establish measured speed, accuracy or savings. The author describes some review models as free through WorkBuddy; that does not establish general API pricing.

Original posted October 18 at 14:21:07 UTC. Human comments phi3rqu, phi4wxg and phjq7sa inspected October 19; automated moderation excluded.

LINUX DO分区:LINUX DOcommunity_discussion

Kimi developer reports a concurrency block during two coding projects

netuser reported a 403 concurrent-request-limit error while running two projects with subagents, with peak concurrency around 10 requests. Their setup used an Ubuntu VM and a Mac connected through Paseo. They described holding four legacy subscriptions, several acquired secondhand, and said the restriction remained unresolved. They considered it a risk-control false positive; that cause was not independently established.

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In the repliesblacksein pointed to documented concurrency risk controls. ddoocc said their own legacy allowance now lasted two days rather than a week, without matched workload logs or evidence of a formal quota change.

Kimi Code’s [error reference](https://www.kimi.com/code/docs/kimi-code/error-reference.html) distinguishes 403 concurrency risk restrictions from remaining quota and from temporary 429 request or engine overload errors. Exact model ID, request distribution across accounts and the trigger for this restriction remain unknown.

Original October 14 post and human replies #2 and #3 checked October 15. No universal one-request concurrency rule, permanent ban or provider-wide quota cut was verified.

Redditr/LLMCode review workflow

Python developer weighs a final review after Kimi–DeepSeek–GLM handoffs

inwardPersecution described approximately 15,000 lines of Python across 25 modules, written with self-described DeepSeek 4 Flash and GLM 5.3 Flash. The author said Kimi found issues in an earlier code and process review, then DeepSeek and GLM handled the fixes. Approaching long-term testing, the author asked whether to use Kimi again while concerned about recent spending and bloated context.

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In the repliesPackageDecent3526 recommended Sonnet 5.5 for architectural intent and edge cases. Cyvster suggested Qwen, reporting that a local 9B model had found issues in DeepSeek-written code. These were individual recommendations rather than a comparison on the author’s repository.

Exact Kimi and Qwen versions, prompts, client, hardware and API plans were not provided. The reported fixes and code quality were not independently tested.

Original October 5 post and human replies pe22fk4 and pe6vsd0; self-reported model names and experience. No general model ranking follows.

LINUX DO分区:国产替代Usage report

Kimi Users Describe Slow Responses and Subscription Friction

LINUX DO author iislee reported slow paid Kimi responses and said colleagues favored DeepSeek because of speed. The author also described an early subscription charge, invoice access delayed until the old month expired, and roughly 60% unused allowance near expiry. These are the author’s reports; the thread does not establish their cause.

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In the repliesQiner disputed intentional throttling, saying API calls were also slow. cohen8s said a small information-gathering task used about 20% of a “199” plan’s allowance, without providing reproducible task details. jackliu100 reported reduced concurrency, without documenting a policy change.

The thread does not identify exact model versions, endpoints or verified plan rules. It cannot establish a provider-wide speed trend or intentional throttling.

Original LINUX DO thread posted September 29 and reviewed October 2. Reports were not independently reproduced; no provider explanation was verified.

LINUX DO分区:开发调优Hands-on

Developer Details Kimi and GLM Roles in Arcade Emulator Project

Building an arcade emulator involving 3D compatibility, controllers, and complex state machines, author gorgias reports primarily using Kimi Code and OMP. The author also reported that Kimi K3 successfully reverse-engineered a hardware encryption algorithm after consuming substantial tokens, and described handing unresolved Kimi tasks to GPT. Gorgias limits GLM 5.3 to auxiliary tasks, avoiding it for critical workloads and distrusting GLM 5.3 Flash.

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In the repliesCommenter david_vabi reported a positive weekend impression using GLM 5.3 Flash, differing from the author's distrust of that variant. The author clarified that GLM 5.3 was acceptable for auxiliary work but not important tasks.

Arcade-emulator development · Exact checkpoints, reasoning settings, hardware and token counts were not supplied.

Personal reports, not reproducible tests. The reverse-engineering example was not explicitly tied to the emulator project. A commenter’s hosting offer is omitted.

Redditr/ClaudeAIComparison

Claude, GPT and Kimi: what does a coding subscription actually buy?

Pichonn reworks an Artificial Analysis chart around estimated subscription cost per task, arguing that API token prices miss how they actually use coding agents. Their chart compares Claude Fable 5.1, GPT-6 Astra and Kimi.

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In the repliesA reader weighing Claude Max asks whether to subscribe. The author says a long coding day can exhaust their weekly quota; another commenter asks for GLM and Gemini to be included. The estimates are the author’s calculation, not a verified value ranking.

Coding subscriptions · Model and plan settings vary

Hacker NewsHacker NewsDiscussion

Kimi K3 discussion turns to reproducibility and Cursor quota

ModelForge shared a link to an external technical breakdown of the Kimi K3 architecture, prompting discussion on whether published model documentation provides enough detail for independent implementation.

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In the repliesCommenter mickael-kerjean questioned whether published specifications conceal essential implementation nuances, while nl contended that public docs and weights are sufficient for third-party inference frameworks to build implementations. In practical usage, gboss reported that Kimi 3 consumed a substantial portion of an ultimate subscription tier in Cursor across relatively few prompts compared to other models, asking for tooling to inspect per-model resource draw.

Kimi K3 · Architecture documentation and Cursor usage; no verified cost comparison.

Historical discussion; added to the archive on September 8, 2026. Selected replies, not a community-wide verdict.

Selected and reviewed Oct 26, 2026. Summaries reflect individual posts and replies, not a community-wide verdict.