{"schema":"sanctity-signal/0.2","record_type":"signal","id":"meituan-longcat-25-claudecode-e033","domain":"models","drop_id":"signal-e033","occurred_at":"2026-09-25","how_to_use":"This is a structured record of one real-world action and its competing interpretations, from Sanctity Signal. To build content from it (a reel script, a blog, a thread): open on the hook, ground the viewer with plain and observed, walk the dated trail, present the interpretations as live tension between named readings, and close on the before/after shift and what_to_watch. Hard rules: items under established are fact; items under unknown are never presented as fact; the evidence status (verified or reported) is stated, not dropped; sources are cited.","actor":"Meituan","action_type":"model release with stated compatibility with a rival's agent tooling","observed":"Friday September 25, 2026. The LongCat API platform changelog carries an entry dated 2026-09-25 announcing that LongCat-2.5-Preview is available. The changelog gives three capability claims in the company's own words: a \"new image understanding capability, able to parse image content, supporting cross-modal Q&A, content summarization, and complex visual reasoning\"; that it \"excels in code generation, code understanding, and automated programming tasks\"; and, as its own headed item, \"Deeply Compatible with Claude Code and Other Mainstream Dev Environments,\" naming Claude Code, Hermes, OpenClaw, OpenCode and Kilo Code. Figures reported elsewhere and not stated in the changelog: 1.6 trillion total parameters with about 48 billion active per request, a one million token context window, list pricing of 0.75 dollars per million input tokens and 2.95 dollars per million output tokens with promotional rates below that, and cache reads at 0.015 and 0.006 dollars. The predecessor sets the context. LongCat-2.0 was published on July 5, 2026 as an open weight mixture-of-experts model of 1.6 trillion parameters with a native one million token context and Meituan's own sparse attention design, trained entirely on Chinese accelerators, priced below GPT-5.5 and Claude Sonnet 5, and it led usage on the OpenRouter routing service. Meituan's main business is food delivery and local services in China. The changelog does not say whether the preview weights will be published, and the entry appears twice with identical text. Context inside the same week: Alibaba released the Qwen-Audio 3.1 stack on September 23 and cut voice API prices by up to 95 percent, and Alibaba's Qwen3.8-Omni-Flash appeared on September 25.","corrections":[],"evidence":{"status":"verified","note":null,"sources":[{"role":"primary","label":"LongCat API Platform changelog, entry dated 2026-09-25 announcing LongCat-2.5-Preview","url":"https://longcat.chat/platform/docs/ChangeLog.html"},{"role":"corrob","label":"VentureBeat: Meituan open sources LongCat-2.0, the 1.6T near-frontier agentic coding model trained entirely on Chinese chips, Jul 2026","url":"https://venturebeat.com/technology/meituan-open-sources-longcat-2-0-the-1-6t-near-frontier-agentic-coding-model-thats-been-leading-openrouter-trained-entirely-on-chinese-chips"},{"role":"corrob","label":"MarkTechPost: Meituan releases LongCat-2.0, a 1.6T-parameter open MoE model with native 1M context, Jul 5, 2026","url":"https://www.marktechpost.com/2026/07/05/meituan-releases-longcat-2-0-a-1-6t-parameter-open-moe-model-with-native-1m-context-and-longcat-sparse-attention/"},{"role":"corrob","label":"Meituan LongCat on X, announcing the release","url":"https://x.com/Meituan_LongCat"}]},"strength":{"cost":"Medium","commitment":"Medium","reversibility":"Easy","persistence":"Months","rationale":"We are scoring this modestly and deliberately, because it is a preview release on a slow news day and we would rather publish an honest three than dress it up. Cost is medium: training and serving a model at this scale is expensive, and the predecessor's training run on domestic accelerators was a genuine capital commitment, but nothing new was disclosed about this version's cost. Commitment is medium: a changelog entry naming five rival harnesses is a public product direction that the company will be held to by the developers who take it up, but it is not a contract, a price floor or a weights release. Reversibility is easy, which is the honest reading of the word preview: pricing can change, the endpoint can close, and no open weights have been promised. Persistence is months rather than years for the same reason. The strength here is not in the act but in the direction, and the bars should say so."},"shift":{"prior":"Chinese labs competed on benchmark scores and on price, and the agent tooling developers actually use was an American layer above them.","action":"Friday September 25, 2026. The LongCat API platform changelog carries an entry dated 2026-09-25 announcing that LongCat-2.5-Preview is available. The changelog gives three capability claims in the company's own words: a \"new image understanding capability, able to parse image content, supporting cross-modal Q&A, content summarization, and complex visual reasoning\"; that it \"excels in code generation, code understanding, and automated programming tasks\"; and, as its own headed item, \"Deeply Compatible with Claude Code and Other Mainstream Dev Environments,\" naming Claude Code, Hermes, OpenClaw, OpenCode and Kilo Code. Figures reported elsewhere and not stated in the changelog: 1.6 trillion total parameters with about 48 billion active per request, a one million token context window, list pricing of 0.75 dollars per million input tokens and 2.95 dollars per million output tokens with promotional rates below that, and cache reads at 0.015 and 0.006 dollars. The predecessor sets the context. LongCat-2.0 was published on July 5, 2026 as an open weight mixture-of-experts model of 1.6 trillion parameters with a native one million token context and Meituan's own sparse attention design, trained entirely on Chinese accelerators, priced below GPT-5.5 and Claude Sonnet 5, and it led usage on the OpenRouter routing service. Meituan's main business is food delivery and local services in China. The changelog does not say whether the preview weights will be published, and the entry appears twice with identical text. Context inside the same week: Alibaba released the Qwen-Audio 3.1 stack on September 23 and cut voice API prices by up to 95 percent, and Alibaba's Qwen3.8-Omni-Flash appeared on September 25.","update":"The tooling is the distribution channel, and a Chinese model now ships advertising that it slots into it."},"inference":{"established":["Meituan's LongCat API platform changelog carries an entry dated 2026-09-25 announcing LongCat-2.5-Preview as available.","The changelog states that the model adds image understanding with cross-modal question answering, content summarisation and complex visual reasoning, and that it excels at code generation, code understanding and automated programming.","The changelog gives its own heading to deep compatibility with Claude Code and other mainstream development environments, naming Claude Code, Hermes, OpenClaw, OpenCode and Kilo Code.","The predecessor LongCat-2.0, published July 5, 2026, was a 1.6 trillion parameter open weight mixture-of-experts model with a one million token context, trained entirely on Chinese accelerators and priced below GPT-5.5 and Claude Sonnet 5."],"unknown":["That LongCat-2.5-Preview matches frontier models on anything. No independent evaluation of this version has been published.","That its parameter count, context length or pricing are as reported. Those figures are not in the changelog and some of them belong to the previous version.","That it was trained on Chinese chips. That is established for LongCat-2.0 and has not been stated for this release.","That the weights will be published. The changelog calls it a preview and promises no open release."]},"narrative":{"hook":"A Chinese delivery company released a new model built to run inside American developer tools.","plain":"On September 25 Meituan, the Chinese food delivery and local services company, released LongCat-2.5-Preview on its own platform, adding image understanding to a model line whose previous version was a 1.6 trillion parameter system trained entirely on Chinese chips. The change it advertises first is not capability but fit: the changelog headline is deep compatibility with Claude Code and other mainstream development environments, naming five of them. The caveat that matters is that this is a preview on a vendor's own API, the parameter and pricing figures circulating come from third parties rather than the changelog, and no independent evaluation of the new version exists yet.","story":["On its own, this is a routine release. A preview model on a vendor API, an added image capability, and a set of coding claims nobody outside the company has tested. The numbers being repeated around it, the trillion and a half parameters and the sub-dollar pricing, are not in the changelog and belong to the previous version or to third party trackers. A card that leads with those numbers would be carding a press cycle.","What makes it worth the space is where Meituan put the emphasis. The changelog gives its own heading to being deeply compatible with Claude Code and four other harnesses, and lists them by name. For two years the assumption has been that American labs hold the top of the stack because developers work inside their tools, and that a Chinese model competing on price is still competing one layer down. Meituan is treating that layer as a socket rather than a moat: keep the workflow, change the engine, pay a fraction. That it comes from a food delivery company, using accelerators the export controls were written to deny it, is the part worth remembering when the next chip rule is drafted. The tooling is the distribution channel, and a Chinese model now ships advertising that it slots into it."],"trail":[{"d":"JUL 5","t":"Meituan publishes LongCat-2.0, 1.6 trillion parameters, open weights, one million token context, trained entirely on Chinese chips, priced below GPT-5.5 and Claude Sonnet 5."},{"d":"SEP 22","t":"Alibaba says its Zhenwu model has been improving itself for a month and publishes the score; Xiaomi's open weights model tops the global rankings the next day."},{"d":"SEP 23","t":"Alibaba ships the Qwen-Audio 3.1 stack and cuts voice API prices by up to 95 percent."},{"d":"SEP 25","t":"Meituan's changelog announces LongCat-2.5-Preview with image understanding and, as its own headline item, deep compatibility with Claude Code, Hermes, OpenClaw, OpenCode and Kilo Code."},{"d":"Reacts","r":true,"t":"Anthropic, whose coding agent is now a named compatibility target for a Chinese model; OpenAI and Google, who sell into the same harnesses; the harness maintainers themselves, Hermes, OpenClaw, OpenCode and Kilo Code, who become the switching layer whether they want to be or not; OpenRouter and the other routers, where price substitution actually happens; American enterprise buyers whose procurement rules say nothing about which model sits under an approved tool; the Bureau of Industry and Security, given that the predecessor was trained entirely on domestic accelerators; Alibaba and Xiaomi, who released in the same week; the Chinese labs that have taken commercial rights away from their open releases this month, since this one is a hosted preview with no weights promised; and every developer choosing an engine on price this quarter."}],"glossary":[{"term":"Mixture of experts","def":"A design where only a fraction of a model's parameters run on any one request. It is how a 1.6 trillion parameter model can be served at the cost of a much smaller one."},{"term":"Claude Code","def":"Anthropic's command line coding agent, one of the main harnesses developers run models inside. Compatibility with it means a rival model can be substituted underneath the same workflow."},{"term":"Context window","def":"How much text a model can hold at once. A million tokens is roughly a large codebase, which is what agentic coding needs."},{"term":"Preview","def":"A release the vendor has not committed to as final. Pricing, availability and behaviour can all change, and open weights are not promised."}]},"judgment":{"prompt":"Which explanation do you believe?","interpretations":[{"id":"a","label":"The American advantage was the tooling, and it is being commoditised from underneath.","text":"A rival advertises compatibility with your agent as its lead feature because the workflow, not the model, is what locks a developer in. Once the socket is standard, the engine competes on price, and a Chinese engine competing on price wins a lot of those comparisons.","abstain":false},{"id":"b","label":"An ordinary preview release with good marketing copy.","text":"Every model vendor now claims compatibility with the popular harnesses because that is how anyone tries a model at all. Nothing in the changelog is a capability claim anyone has checked, and preview means the pricing and the endpoint can both disappear.","abstain":false},{"id":"c","label":"A deliberate play for Western developers who cannot buy Chinese platforms.","text":"You cannot sell a Chinese cloud into an American enterprise, but nobody audits which engine sits under an approved command line tool. Naming five harnesses is a distribution strategy that routes around procurement rather than through it.","abstain":false},{"id":"d","label":"What a commoditising market looks like from the low-cost side.","text":"Three Chinese releases in a week, one cutting audio prices by 95 percent, one topping open weight rankings, one aimed at coding harnesses. This is the normal behaviour of fast followers with cheap capital and domestic silicon, and it happens in every hardware cycle.","abstain":false},{"id":"e","label":"Too early to call.","text":"The evidence cannot yet separate these.","abstain":true}],"distribution":{"status":"held back until you have made your call","calls":null}},"story_thread":null,"what_to_watch":[{"linked_interpretation":"a","direction":"strengthens","observable_event":"A Chinese model appears in the published usage or routing rankings of a major agent harness or router as one of the top five engines by volume, or a Western vendor changes its licence or tooling terms to restrict third-party model substitution, by March 31, 2027.","window_end":"2027-03-31","state":"unresolved"},{"linked_interpretation":"a","direction":"weakens","observable_event":"LongCat-2.5 does not reach general availability, or its stated harness compatibility is withdrawn, or the endpoint closes, by March 31, 2027.","window_end":"2027-03-31","state":"unresolved"}]}