F24 SALES / MODELL
Z.ai🇨🇳
GLM-5.3-Flash
Z.ai's multimodal Flash model combines visual understanding with coding and tool use. Its sparse architecture activates 18 billion of 320 billion parameters and mixes attention mechanisms to handle long inputs efficiently.
Kostenlose Aggregator-Routen
Diese Aggregator-Routen sind im aktuellen oder zuletzt veröffentlichten Katalog erfasst. Jede Route behält ihre exakte Modell-ID und Thinking-Informationen.
The supplied October 14 test and recorded successful tests from November 5 through November 12 establish access to this exact River route without a top-up using the dedicated account that had never held credit or linked a payment method. The latest supplied successful test at 2026-11-13T12:03:08+00:00 establishes the same access at that time. Separately, the supplied prior review records advertised prices of $0.12 input, $0.024 cached input and $0.40 output per million tokens. Current documentation requires JavaScript to display prices. Continued availability and quotas remain unverified.
Limits oben: River. Die verfügbaren Zugänge stehen unten.
River explicitly lists zai-org/GLM-5.3-Flash at https://docs.river.ai/guides/inference-models/, matching the creator repository and supplied reviewed standard Flash entries. Preserved the established duplicate_key and exact runtime namespace. Shared advertised identity does not establish identical serving configurations or pinned revisions.
River
Info- Denken
- Von dieser API nicht angegeben
zai-org/GLM-5.3-Flash- Max. Ausgabe hier
- Nicht dokumentiert
LLM7
Info- Denken
- Unterstützt
GLM-5.3-Flash- Kontext hier
- 400K
- Max. Ausgabe hier
- Nicht dokumentiert
Quellen zum Modell
- River inference model identities, capabilities, limits and prices
- River model-specific reasoning controls
- Z.ai GLM-5.3-Flash weight files
- River inference limits documentation
- River official model-table Markdown source with exact route and 128K output notation
- LLM7 exact-case GLM-5.3-Flash route specifications and retirement label
- LLM7 official documentation
- LLM7 token-usage and endpoint limits
- LLM7 exact public route metadata
Über LiteLLM nutzen
Importiere die aktuelle LiteLLM-kompatible YAML und nutze die oben angezeigte exakte Modell-ID. Der Katalog stammt aus denselben geprüften Scan-Daten wie der Download.
LiteLLM-YAML herunterladenQuellen & Verweise
- Creator's model card
- River inference model identities, capabilities, limits and prices
- River model-specific reasoning controls
- Z.ai GLM-5.3-Flash weight files
- River inference limits documentation
- River official model-table Markdown source with exact route and 128K output notation
- LLM7 exact-case GLM-5.3-Flash route specifications and retirement label
- LLM7 official documentation
- LLM7 token-usage and endpoint limits
- LLM7 exact public route metadata