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.
Voorbeelden van API-gebruik
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"
}
]
}'Gemini 2.0 Flash prijzen
Chatten, codeeragents en documentwerk. Geprijsd per 1 miljoen tokens — invoer, gecachte invoer en uitvoer worden afzonderlijk berekend. GPTProto is 40% goedkoper dan de officiële tarieven.
| Scenario | Google prijslijst | OpenRouter | GPTProto | Je bespaart / mnd |
|---|---|---|---|---|
| Persoonlijk10M tokens / mnd (4.8M gecachet) | $1.24 | $1.31 | $0.74 | −$0.50≈ $5.95 / jr |
| Team100M tokens / mnd (48M gecachet) | $12.40 | $13.08 | $7.44 | −$4.96≈ $59.52 / jr |
| Zakelijk500M tokens / mnd (240M gecachet) | $62.00 | $65.41 | $37.20 | −$24.80≈ $297.60 / jr |
Bespaar $0.00 / maand
Jaarlijkse besparing ≈ $0.00 · betalen naar gebruik
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Gemini 2.0 FlashHuidig
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
Model
Prijs: GPTProto
vs. officieel
vs. OpenRouter
Context
Stabiliteit
Gemini 2.0 FlashHuidig
Google
$0.06 / $0.24per 1 miljoen tokens
-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.
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