Tabbit
Use in Tabbit LongCat Flash Chat
LongCat Flash Chat · Model overview
A compact view of reviewed task guides, public evaluations, and evidence boundaries. Client access still depends on your current account.
Model access and permissions must be checked in the current Tabbit account.
Extract structured data, build a visual prototype, or start a coding task.
Use the official Round format and LongCat tool-call tags for one weather or order lookup, with explicit parameters, call order, and final-answer checks.
Configure an OpenAI-compatible client with the LongCat endpoint, authentication, and timeout, then run a logged health check before the real request.
Public results use different versions, tiers, and harnesses; unknown values stay unknown.
The official card describes a 560B MoE with about 18.6B–31.3B dynamically active parameters, reports 89.71 on MMLU and 89.65 on IFEval, and documents LongCat tool tags.
The official Change Log records Flash-Chat API launches, upgrades, and retirement or migration points; it is useful for endpoint support checks, not answer quality.
A LocalLLaMA discussion covers agent capability and deployment expectations, useful for selecting hypotheses to test; it is not a reproducible benchmark.
LongCat
Explore sourced prompt guides, evaluations, and community reports for LongCat Flash Chat—then use the model directly in Tabbit.