Intelligence des modèles d'IA

LongCat Flash Chat

meituan/longcat-flash-chat

Par meituan · famille: longcat · sorti 2025-11-05 · fin de connaissance: 2024-10

Inconnu
Entrée / 1M jetons
Inconnu
Sortie / 1M jetons
128K
Fenêtre de contexte
8K
Sortie max

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacités

Tool callingRaisonnement? Sortie structuréePièces jointesPoids ouvertsContrôle de température
Modalités: entrée text · sortie text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding44
  • Tool calling40/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability2/10
Agents42
  • Tool calling35/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit5/15
  • Provider availability2/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context35
  • Context window (100K → 2M)35/90
  • Has published price for full window0/10
Production-readiness46
  • Number of independent providers10/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

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Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Disponible chez 2 fournisseurs

FournisseurID modèle fournisseurEntrée / 1MSortie / 1MContextePublié le
Vercel AI Gateway
vercel
meituan/longcat-flash-chatUnknownUnknown128K2025-08-30
Qiniu
qiniu-ai
meituan/longcat-flash-chatUnknownUnknown131K2025-11-05

Incohérences de données entre fournisseurs

  • context_window varies: 128000, 131072
  • release_date varies (span 67d): 2025-08-30, 2025-11-05

Les fournisseurs rapportent des valeurs différentes pour ce modèle. Les infos clés ci-dessus utilisent un fournisseur représentatif ; voir le tableau pour le détail par fournisseur.

Frequently asked questions

How much does LongCat Flash Chat cost?

LongCat Flash Chat does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check meituan's official pricing page for the most current rates.

What is the context window of LongCat Flash Chat?

LongCat Flash Chat has a context window of 128K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.

Does LongCat Flash Chat support tool calling?

Yes. LongCat Flash Chat supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does LongCat Flash Chat support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for LongCat Flash Chat in our data source. Verify with meituan's official documentation before relying on it in production.

Can LongCat Flash Chat accept image input?

No. LongCat Flash Chat only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is LongCat Flash Chat open-weight?

No. LongCat Flash Chat is a proprietary model — only meituan (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to LongCat Flash Chat?

If LongCat Flash Chat doesn't fit, consider Meituan/Longcat-Flash-Lite, LongCat Flash Thinking, LongCat Flash Thinking 2601. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Dernière mise à jour :

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.