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.
API Usage Examples
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 pricing
Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 40% below official rates.
| Scenario | Google list | OpenRouter | GPTProto | You save / mo |
|---|---|---|---|---|
| Personal10M tokens / mo (4.8M cached) | $1.24 | $1.31 | $0.74 | −$0.50≈ $5.95 / yr |
| Team100M tokens / mo (48M cached) | $12.40 | $13.08 | $7.44 | −$4.96≈ $59.52 / yr |
| Business500M tokens / mo (240M cached) | $62.00 | $65.41 | $37.20 | −$24.80≈ $297.60 / yr |
Save $0.00 / month
Annual savings ≈ $0.00 · pay as you go
Related Models
All Models
Gemini 2.0 FlashCurrent
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
Price: GPTProto
vs Official
vs OpenRouter
Context
Stability
Gemini 2.0 FlashCurrent
Google
$0.06 / $0.24per 1M 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.
Related Articles
Guides, comparisons, and updates related to this model.
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