1M Token google Context
Google provides a massive context window for gemini 2 flash, allowing users to process hours of video or full codebases with high recall.
Gemini 2.0 Flash
google gemini 2 flash delivers high-speed, native multimodality with a 1-million-token context window. This google model excels in real-time audio and video analysis, making it the premier choice for agentic workflows and live AI applications.
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.
Your usage
Google · ≈ 148M tokens/mo (48M cached)
OpenRouter
List + 5.5% credit fee
$13.0819
per month
Input (non-cached)$3.376
Cache read$1.266
Output$8.44
Google
Direct from Google (list price)
$12.4
per month
Input (non-cached)$3.2
Cache read$1.2
Output$8
BEST VALUE
GPTProto
40% off official
$7.44
per month
After discount$7.44
Effective$7.44
Monthly cost by source
OpenRouter
$13.0819
Google
$12.4
GPTProto
$7.44
Save $4.96 / month
on GPTProto vs Google (−40%)
Annual savings ≈ $59.52 · pay as you go
OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.
Related Models
All Models
| Model | Input → Output | ||||
|---|---|---|---|---|---|
| — | $0.06 / $0.24 per 1M | $0.01 / $0.01 per 1M | Input: TextInput: ImageInput: Document Output: Text | |
| — | — | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: TextInput: Image Output: Text | |
| 1.05M | $0.79 / $2.38 per 1M | — / $0.04 per 1M | Input: Text Output: Text | ||
| 1.05M | $8.00 / $40.00 per 1M | $10.00 / $0.80 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| 1M | $9.00 / $45.00 per 1M | $11.25 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| — | 1.31M | $0.15 / $0.50 per 1M | — / $0.03 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | |
| — | 1.05M | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: TextInput: Image Output: Text | |
| 1.31M | $1.26 / $3.96 per 1M | — / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | — / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.18 / $1.50 per 1M | $0.60 / $0.02 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $2.70 / $13.50 per 1M | $0.27 / $0.27 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.16 / $0.96 per 1M | $0.20 / $0.02 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.60 / $9.60 per 1M | $2.00 / $0.16 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | $0.30 / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $9.00 per 1M | $2.25 / $0.18 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.48 / $0.96 per 1M | $0.10 / $0.10 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.26 / $3.96 per 1M | $0.23 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $0.36 / $1.44 per 1M | $0.07 / $0.07 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.90 / $5.40 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| — | 1.05M | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: Text Output: Text | |
| 1M | $0.75 / $1.50 per 1M | $0.12 / $0.12 per 1M | Input: TextInput: Image Output: Text | ||
| 262K | $0.85 / $3.60 per 1M | $0.14 / $0.14 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.15 / $0.90 per 1M | $0.60 / $0.01 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 205K | $0.24 / $0.96 per 1M | $0.30 / $0.02 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.54 / $2.70 per 1M | $0.09 / $0.09 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.02 / $0.18 per 1M | — | Input: TextInput: Image Output: Text |
google gemini 2 flash Key Features
Discover the technical advantages of google gemini 2 flash. This google release offers native audio-video reasoning and a 1M token window for high-performance AI deployments.
Native google Multimodality
Unlike other models, google gemini 2 flash processes audio and video natively for better reasoning and faster response times.
google Agentic Reasoning
Google enhanced the function calling in gemini 2 flash, making it highly reliable for autonomous agents and complex tool-use tasks.
Low Latency google Performance
Optimized for speed, the google gemini 2 flash model offers industry-leading response times for real-time conversational AI needs.
google gemini 2 flash: Common Questions
Get expert answers about google gemini 2 flash. Learn how this google model handles multimodal inputs, context caching, and real-time agentic workflows for your next high-speed project.
How does google gemini 2 flash handle large datasets?
The google gemini 2 flash model features a massive 1M token context window. This allows it to ingest thousands of lines of code or hours of video footage in one request. Google optimized this version to maintain high recall, so you can query complex information across entire repositories without losing detail. It is a powerful tool for google-centric developers building long-form RAG systems or deep video search and analysis.
What makes google gemini 2 flash faster than others?
Speed is a core pillar of the google gemini 2 flash architecture. Google focused on reducing Time-to-First-Token (TTFT), especially for multimodal inputs. Unlike older google models, this one handles audio and video natively, bypassing slow external encoders. This efficiency makes the google model ideal for real-time translation and interactive voice assistants where sub-second response times are essential for a good user experience.
Can google gemini 2 flash process live video streams?
Yes, google gemini 2 flash supports native real-time vision. It can provide spatial understanding by generating normalized coordinates for objects in a frame. This google feature is perfect for UI automation or robotics. By using the google API on our platform, you can feed video frames directly into the model for immediate spatio-temporal reasoning, making it a clear leader in the google multimodal lineup for vision-based tasks.
Is google gemini 2 flash cost-effective for agents?
Google priced gemini 2 flash at a competitive $0.10 per 1M tokens for prompts under 128k. This makes the google model significantly more affordable than previous iterations for high-frequency use. For agentic workflows requiring multiple tool calls, the google gemini 2 flash efficiency ensures high reliability without breaking the budget. GPTProto.com offers unified billing for this google model, simplifying your operational overhead.
Does google gemini 2 flash support structured JSON?
Absolutely. Google built gemini 2 flash with native support for structured outputs and function calling. By defining a response schema, you can ensure the google model returns data in a valid JSON format every time. This is critical for developers using google tools to automate data extraction or control external APIs. The google engine follows complex instructions closely, making it a robust choice for building autonomous agents.
How do I migrate to google gemini 2 flash?
Moving to google gemini 2 flash is straightforward. If you are already using google 1.5 Flash, the request structure is nearly identical. Simply update the model parameter to the google gemini 2 flash experimental endpoint in your code. Our unified API ensures you can leverage this google powerhouse with minimal configuration, allowing you to benefit from the 2.0 speed, multimodal upgrades, and 1M token window instantly.
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