# Is LongCat-2.5 SOTA?

Pending benchmarks. Announced Nov 1, 2026; no independent results yet.

As of Nov 3, 2026, LongCat-2.5 is pending benchmarks on isitsota: announced Nov 1, 2026, with no independent results on the boards we track yet.

Meituan LongCat team's native multimodal model for long-horizon agentic work such as coding, browsing and tool use: a 1.6-trillion-parameter mixture-of-experts model with about 48B parameters active per token, building on LongCat-2.0. It takes text, images and video, has a 1M-token context and up to 256K output tokens. Meituan says training ran entirely on domestic Chinese AI accelerators. Available in LongCat chat and the LongCat API (OpenAI- and Anthropic-compatible); weights are listed as coming soon.

Canonical: https://isitsota.com/m/longcat-2-5
Last updated: 2026-11-02
Tracking since: 2026-11-02

## Announced facts

| Fact | Value |
| --- | --- |
| Lab | Meituan |
| Announced | Nov 1, 2026 |
| API | Live (`LongCat-2.5`) · LongCat API Platform, model LongCat-2.5, at api.longcat.chat with OpenAI Chat Completions, OpenAI Responses and Anthropic Messages compatible endpoints; listed as available from 2026-11-02 in the API changelog |
| Open weights | Announced, not yet published · Not yet published: the blog lists GitHub and Hugging Face as coming soon, and the meituan-longcat Hugging Face org had no LongCat-2.5 repo as of Nov 2, 2026 |
| Parameters | 1.6T total, about 48B active per token (mixture of experts) |
| Type | Native multimodal model for long-horizon agentic tasks: text, image and video in, text out; thinking can be switched on or off |
| Architecture | Mixture of experts, 1.6T total and about 48B active per token; visual input is represented as multi-level discrete tokens |
| Context | 1,048,576 tokens (1M), up to 262,144 output tokens (256K), per the LongCat API docs |
| Training | Builds on LongCat-2.0 with long-context training, large-scale long-horizon agentic reinforcement learning and multi-teacher distillation; trained entirely on domestic Chinese AI accelerators, per Meituan |
| Inference | W4A4 quantized serving on domestic AI accelerators, per the LongCat blog |
| Price | $0.30 per 1M input tokens, $0.006 per 1M cached input tokens and $1.20 per 1M output tokens (¥2, ¥0.04 and ¥8), labelled a limited-time discounted price by LongCat; prices are subject to change |
| Availability | LongCat chat at longcat.ai and the LongCat API |
| Earlier preview | LongCat-2.5-Preview launched on the LongCat API on Sep 25, 2026 (image understanding and coding), per the API changelog; a separate earlier release, not tracked here |
| Predecessor | LongCat-2.0, released on the LongCat API on Jun 30, 2026, per the API changelog |

Tags marked unsure are not stated on the lab's own pages.

## What would let us call it

Verdicts use only independent boards we already track. Two consecutive snapshots are required before any crown.

- [x] Publicly announced with a source
- [x] Usable by the public (API or weights)
- [ ] Listed on an independent board we track
- [ ] Enough results for a rank in a category
- [ ] Holds across two snapshots (crowns only)

## What the lab claims

Self-reported. Shown for context; not used in any verdict.

- Lab claim: 88.4 on Terminal Bench v2.1, 38.5 on Terminal Bench v4.0, 64.6 on DeepSWE v1.1, 60.5 on NL2Repo and 82.1 on PaperBench in LongCat's own evaluation.
- Lab claim: 91.9 on BrowseComp, 63.1 on HLE with tools (text-only subset), 83.1 on MCP Atlas and 51.8 on AutomationBench v1.0.6.
- Lab claim: 78.6 on Vision2Web and 85.2 on VideoMME.
- Lab claim: Meituan says its scores on several mainstream benchmarks fall between Claude-Opus-4.8 and Claude-Opus-5.
- Lab claim: W4A4 serving raises prefill throughput by 43.3% and decode throughput by 42.77% and cuts TTFT by 15.91% and TPOT by 19.72% against a W8A8 INT8 baseline.

## Sources

- LAB: [Introducing LongCat-2.5 (LongCat blog)](https://longcat.ai/blog/longcat-2.5/) (2026-11-01)
- LAB: [LongCat API changelog](https://longcat.chat/platform/docs/change-log) (2026-11-02)
- LAB: [LongCat-2.5 pricing (LongCat API docs)](https://longcat.chat/platform/docs/pricing/longcat-2.5)
- LAB: [Meituan news: LongCat-2.5 release](https://www.meituan.com/news/NN261102280001343) (2026-11-02)
- PRESS: [aitrackerbot post on X](https://x.com/aitrackerbot/status/2116967358602301733) (2026-11-01)

Tracking continues until an independent board lists it.

## Related

- Lab: [Meituan](https://isitsota.com/labs/meituan.md)
- All pending releases: https://isitsota.com/releases.md
- JSON: https://api.isitsota.com/v1/models/longcat-2-5