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Kimi

Kimi is an AI chat assistant developed by Moonshot AI, serving users who need conversational AI and long-context document processing.

Primary category: AI Chat
About this data
This page reflects public online discussion, collected and scored by automated systems and summarized using AI. It is not a statement of fact, not an audit, and not our own opinion of the product. Automated analysis can be incomplete or wrong, and scores carry the limitations described in our methodology. Companies can respond with their own perspective. See how this is calculated.

Updated August 3, 2026

Overall Pulse Score

60
Pulse Score

-2 over this period

A 0-100 index summarizing the tone of 20 relevant public mentions gathered from public online communities across 2 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.

Weekly Sentiment Trend

Pulse Score by week over the selected period. Each point is one complete week of mentions.

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This week in public discussion

Recent discussion around Kimi leaned positive overall, with commenters frequently bringing up competitor comparisons as a major talking point across the period. Several mentions praised Kimi's AI quality and placed it alongside other Chinese AI models in broader conversations about the competitive landscape. A small number of complaints touched on ease of use and occasional bugs, with one commenter noting confusion when integrating Kimi with other tools. Licensing terms also drew some mixed attention from the community.

Read the deeper analysis

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Sentiment mix by week

How the tone of public discussion splits each week.

Most-discussed praise

Compared to rivals12
AI quality8
Strong features5
Fair pricing4
New releases1

Most-discussed complaints

AI quality2
Easy to use1
Learning curve1
Bugs1
Privacy concerns1

Themes across the selected period, with mention counts.

How Kimi compares

Pulse Score over the selected period versus the top tracked competitors in AI Chat.

Where the mentions come from

Share of the 20 relevant public mentions in the selected period, by source.

Hacker News100% (20)

Sample public mentions

Showing 5 of 20 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

I’ve been building Echo (https://echo.tracerml.ai/), an experiment in making one AI system out of a pool of open-weight models rather than choosing a single model and using it for every task.It started with a simple experiment. I took a group of models, including GLM-5.2, Kimi K2...

Hacker NewsJul 23, 2026

Kimi K2.7 Code, for me. It's the first model I've used that usually writes working code, somewhat rarely breaks stuff when adding or changing features, and usually fixes a bug correctly just by providing a traceback or description.Kagi Assistant defaults to the last-used model un...

Hacker NewsAug 26, 2026

With all the focus on coding and agentic use, I wonder if the rest of the world will notice or care? Most AI use is not for coding or harnesses contrary to what this website thinks. Maybe this is how American companies stay winning.For example I prefer Kimi K2.6 1T parameter to F...

Hacker NewsAug 16, 2026

Yes, I use AI assistant a lot. I copy the agent definition from Geir Isene to a custom assistant, it works nicely. In my experience, Kimi K2.6 reasoning works best.https://github.com/isene/ClaudeCode/blob/main/agents/web-res...

Hacker NewsAug 21, 2026

I've posted a few times about my project that's a collection of 30k-250k webapps that are served from a WebDAV server. The apps know how to write updated copies of themselves back to the server.My family uses it. I have gallery apps (yearbooks for each year are a lot of fun!) of ...

Hacker NewsAug 7, 2026

Deeper analysis

  • Competitor comparisons dominated discussion, with Kimi most often praised in the context of a shifting AI landscape rather than on standalone merit.
  • Sentiment trended slightly downward across the window, with both score and mention volume declining in the later period.
  • AI quality divided opinion, as commenters praised model capability while others flagged inconsistent results depending on version and quantization.
  • Licensing changes across model versions drew cautious attention, introducing a note of uncertainty around commercial terms and trust.
Praise themeMentions
Compared to rivals12
AI quality8
Strong features5
Fair pricing4
New releases1
Complaint themeMentions
AI quality2
Easy to use1
Learning curve1
Bugs1
Privacy concerns1

Discussion around Kimi over the recent four-week window was heavily shaped by how commenters positioned the product relative to competitors, making rival comparisons by far the most dominant theme. Mentions frequently placed Kimi alongside other Chinese AI labs such as Qwen and MiniMax, and several commenters framed the broader landscape as one where Chinese models were gaining ground while Western incumbents like Anthropic and OpenAI were becoming less central to the conversation. This competitive framing gave much of the praise an indirect quality, with sentiment less about Kimi on its own terms and more about what its existence signals for the field.

AI quality drew both praise and complaint, suggesting divided opinion on model performance. Several mentions engaged with specific model versions and benchmarks, and discussion suggested that quantization choices and version differences created real variation in user experience. One commenter noted switching between model sizes depending on output quality, implying that satisfaction with Kimi is not uniform and depends heavily on configuration. A separate thread touched on licensing changes across versions, with commenters noting meaningful differences in commercial terms, which introduced a cautious undertone around trust and transparency.

Ease of use and a learning curve surfaced as minor but present complaints. One mention described attempting to pair Kimi with an external coding tool and finding the experience confusing, attributing poor results partly to unfamiliarity. Privacy concern also registered as a single complaint signal, and while it was not elaborated in detail, its presence reflects a recurring unease that tends to follow AI products in this category.

The score trajectory points to a modest softening in sentiment across the window, with the later period showing a lighter volume of mentions alongside a lower score. The dip was not dramatic, but the direction was downward, and the drop in mention count in the second period suggests engagement cooled somewhat rather than intensifying into sharper criticism.

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Member perspectives

Individual opinions from Pro members, posted over time. These are personal member views, not aggregated sentiment data.

Data summary

Total mentions analyzed (all time)
20
Mentions in selected period
20
Weeks in range
2
vs AI Chat average (47)
Above by 13
Pricing
Free tier; paid plans available
Sources
Hacker News (20)

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Kimi

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