Native Multimodal Input
Processes audio, video, and text natively to capture nuanced details like tone, pitch, and motion.
Gemini 2.0 Flash
Gemini 2 Flash is Google's speed-optimized multimodal model. Featuring a 1-million-token context window and native real-time audio/video processing, it is designed for sub-second latency in agentic workflows and live conversational apps.
Esempi di utilizzo dell’API
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "gemini-2.0-flash",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Prezzi Gemini 2.0 Flash
Chat, agenti di coding e lavoro sui documenti. Prezzi per 1M di token: input, input memorizzato nella cache e output vengono fatturati separatamente. GPTProto costa il 40% in meno rispetto alle tariffe ufficiali.
| Scenario | Listino ufficiale Google | OpenRouter | GPTProto | Risparmi al mese |
|---|---|---|---|---|
| Personale10M token/mese (4.8M nella cache) | $1.24 | $1.31 | $0.74 | −$0.50≈ $5.95 / anno |
| Team100M token/mese (48M nella cache) | $12.40 | $13.08 | $7.44 | −$4.96≈ $59.52 / anno |
| Aziendale500M token/mese (240M nella cache) | $62.00 | $65.41 | $37.20 | −$24.80≈ $297.60 / anno |
Risparmia $0.00 / mese
Risparmio annuale ≈ $0.00 · pagamento a consumo
Modelli correlati
Tutti i modelli
Gemini 2.0 FlashAttuale
Google · $0.06/M input · $0.24/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Modello
Prezzo: GPTProto
vs ufficiale
vs OpenRouter
Contesto
Stabilità
Gemini 2.0 FlashAttuale
Google
$0.06 / $0.24per 1M di token
-40%
-43%
—
Core Gemini 2 Flash Capabilities
Innovative features that make Gemini 2 Flash a top choice for real-time, multimodal AI applications.
1M Context Window
Ingest massive datasets or long-form video files without losing information across the window.
Agentic Reasoning
Enhanced function calling and tool use reliability for building autonomous, multi-step agents.
Spatial Understanding
Generates normalized coordinates for objects in images, enabling advanced UI automation tasks.
Gemini 2 Flash Questions & Answers
Find answers to common questions about Gemini 2 Flash latency, context windows, and multimodal features for developers.
How fast is Gemini 2 Flash latency?
Gemini 2 Flash is built for sub-second response times. For short prompts, the time-to-first-token is often under 200ms, making it ideal for live voice applications and real-time customer service bots.
Does it support a 1M token context?
Yes, Gemini 2 Flash maintains a 1,048,576 token context window with high recall. This allows you to process thousands of lines of code, several full-length novels, or hours of video content in a single request.
What does native multimodality mean?
It means Gemini 2 Flash processes text, audio, and video directly without needing separate encoders. This allows it to understand nuances like tone of voice, pitch, and spatio-temporal reasoning in video.
Can Gemini 2 Flash output JSON?
Yes, it supports structured outputs and JSON mode. By providing a response schema, you can ensure Gemini 2 Flash returns valid JSON, which is perfect for reliable tool use and automated data extraction.
How is the pricing for this model?
Pricing for Gemini 2 Flash is highly competitive at $0.10 per million input tokens for prompts under 128k. Larger contexts are $0.20 per million, while output tokens cost $0.40 per million tokens.
Is my data used for model training?
No. Data sent through our enterprise-grade API endpoints is not used to train Google's foundation models or any internal models on the GPTProto platform, ensuring your proprietary data remains private.
Related Articles
Guide, confronti e aggiornamenti relativi a questo modello.
Tutti gli articoli
Google Leaks Gemini 3.5 "Snow Bunny": 3,000 Lines of Code in One Prompt, Smashing GPT-5.2 Benchmarks
Explore alleged Gemini 3.5 features, release date predictions, dual AI models, code generation capabilities, pricing, and API access for developers.
Gemini 3 Deep Dive: Benchmarks, Antigravity & Gen UI
Discover how Gemini 3 is revolutionizing AI with record-breaking MMMU-Pro scores, the Antigravity agent IDE, and groundbreaking Generative UI. Learn how this multimodal powerhouse redefines human-computer interaction and software development for enterprises and developers alike.
Gemini API Guide 2026: Pricing, Setup & Key Features for Developers
Complete Gemini API guide covering all models, pricing, API key setup, and how to access Gemini through unified platforms like GPT Proto. Includes comparisons with alternatives.