Gemini Decision 1Pricing
- Input Tokens: $0.1 /M tokens
- Output Tokens: $0 /M tokens
Modalità di input
- Text
Fornitori
Performance for gemini-decision-1
Uptime è la percentuale di richieste riuscite nelle ultime 72 ore. AIHubMix monitora continuamente ogni provider e ritenta automaticamente con il successivo miglior provider quando uno restituisce un errore o risponde troppo lentamente; Latency è il tempo totale di andata e ritorno di una richiesta (più bassa è, meglio è); Throughput indica la velocità di scrittura del modello (token al secondo; più alto è, meglio è).
Frequently asked questions
More models from Google
See all Google models →Gemini 4 Hydrogen is a reported Gemini language model undergoing internal testing at Google, with a focus on fast responses and efficiency.
- Input: $ 2 /M
- Output: $ 10 /M
- Web Search: $0.014/request
- Input Audio: $2/M tokens
- Input Video: $2/M tokens
Gemini 4 Carbon is Google DeepMind’s multimodal model for complex coding, long-running agent workflows, and cybersecurity defense. Building on Gemini 4 Argon, it improves software engineering, vulnerability detection and remediation, multimodal understanding, and execution across challenging, multi-step tasks.
Gemini Omni Flash (gemini-omni-1.2-flash) is a high-performance multimodal model designed for high-speed video generation, editing, and cinematic-level control. It can generate or edit videos up to 15 seconds long with native audio from text, images, and video, and better maintain consistency of people and subjects.
Gemini Omni Flash (gemini-omni-1.1-flash) is a high-performance multimodal model designed for high-speed video generation, editing, and cinematic-level control.
- Input: $ 2 /M
- Output: $ 10 /M
- Web Search: $0.014/request
- Input Audio: $2/M tokens
- Input Video: $2/M tokens
Gemini 4 Argon is Google DeepMind’s multimodal reasoning model for complex software engineering, financial research, legal drafting, and cybersecurity defense. It supports sustained reasoning across long, multi-step workflows, combining coding capabilities with chart and long-video understanding. It can also autonomously discover, validate, and patch software vulnerabilities.
Gemini Nano Banana 2.1 (gemini-nano-banana-2.1) is Google's latest high-efficiency image generation and conversational editing model. As an upgraded version of Nano Banana 2 (Gemini 3.1 Flash Image), it significantly improves visual quality, prompt adherence, role consistency in multi-turn conversations, and text rendering while maintaining Flash-level speed and cost efficiency. It can be regarded as a more efficient counterpart to Gemini 3 Pro Image (Nano Banana Pro).
