GLM 5.3 Flash

GLM-5.3-Flash è un modello nativamente multimodale di Z.ai. È adatto al coding efficiente e a task per agenti a lungo termine. La sua architettura ibrida con attenzione sparsa e lineare mantiene un comportamento accurato a contesto lungo, mentre...

Traduzione automatica della descrizione del modello fornita da OpenRouter.

Rilascio

Finestra di contesto

1M token

Output massimo

131K token

Input

testo, immagini, video

Output

testo

Ragionamento

Sì

Storico dei prezzi

• input $0.038 → $0.038 0% · output $0.082 → $0.08 -3%
• input $0.038 → $0.038 0% · output $0.08 → $0.082 +3%
• input $0.038 → $0.038 0% · output $0.082 → $0.08 -3%
• input $0.035 → $0.038 +10% · output $0.082 → $0.082 0%
• input $0.035 → $0.035 0% · output $0.092 → $0.082 -11%
• input $0.031 → $0.035 +10% · output $0.092 → $0.092 0%
• input $0.029 → $0.031 +10% · output $0.092 → $0.092 0%
• input $0.026 → $0.029 +10% · output $0.104 → $0.092 -11%
• input $0.15 → $0.026 -83% · output $0.50 → $0.104 -79%
• input $0.026 → $0.15 +479% · output $0.104 → $0.50 +380%
• input $0.15 → $0.026 -83% · output $0.50 → $0.104 -79%
• input $0.045 → $0.15 +233% · output $0.074 → $0.50 +578%
• input $0.046 → $0.045 -1% · output $0.074 → $0.074 0%
• input $0.045 → $0.046 +2% · output $0.074 → $0.074 -1%
• input $0.15 → $0.045 -70% · output $0.50 → $0.074 -85%
• input $0.036 → $0.15 +313% · output $0.133 → $0.50 +276%
• input $0.15 → $0.036 -76% · output $0.50 → $0.133 -73%
• input $0.035 → $0.15 +335% · output $0.082 → $0.50 +508%
• input $0.15 → $0.035 -77% · output $0.50 → $0.082 -84%
• input $0.048 → $0.15 +216% · output $0.10 → $0.50 +400%
• input $0.15 → $0.048 -68% · output $0.50 → $0.10 -80%
• input $0.041 → $0.15 +263% · output $0.076 → $0.50 +560%
• input $0.15 → $0.041 -72% · output $0.50 → $0.076 -85%
• input $0.049 → $0.15 +209% · output $0.07 → $0.50 +613%
• input $0.15 → $0.049 -68% · output $0.50 → $0.07 -86%
• input $0.042 → $0.15 +259% · output $0.07 → $0.50 +613%
• input $0.15 → $0.042 -72% · output $0.50 → $0.07 -86%
• input $0.042 → $0.15 +259% · output $0.077 → $0.50 +549%
• input $0.15 → $0.042 -72% · output $0.50 → $0.077 -85%
• input $0.044 → $0.15 +241% · output $0.20 → $0.50 +150%
• input $0.15 → $0.044 -71% · output $0.50 → $0.20 -60%
• input $0.043 → $0.15 +249% · output $0.076 → $0.50 +557%
• input $0.15 → $0.043 -71% · output $0.50 → $0.076 -85%
• input $0.04 → $0.15 +272% · output $0.312 → $0.50 +60%
• input $0.15 → $0.04 -73% · output $0.50 → $0.312 -38%
• input $0.035 → $0.15 +329% · output $0.082 → $0.50 +511%
• input $0.15 → $0.035 -77% · output $0.50 → $0.082 -84%
• input $0.049 → $0.15 +205% · output $0.079 → $0.50 +535%
• input $0.018 → $0.049 +181% · output $0.079 → $0.079 0%
• input $0.049 → $0.018 -64% · output $0.079 → $0.079 0%
• input $0.039 → $0.049 +25% · output $0.079 → $0.079 0%
• input $0.15 → $0.039 -74% · output $0.50 → $0.079 -84%

Provider su OpenRouter

40 endpoint servono questo modello. L'uptime indica la percentuale di richieste riuscite su OpenRouter; prezzi per 1M token.