1M Token Context window
Ingest hours of video or entire code repositories. This ai maintains high recall across huge datasets without complex RAG.
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"
}
]
}'Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 40% below official rates.
Google · ≈ 148M tokens/mo (48M cached)
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.
High-performance ai capabilities for real-time multimodal apps.
Ingest hours of video or entire code repositories. This ai maintains high recall across huge datasets without complex RAG.
This ai understands tone in audio and spatial data in video frames, enabling advanced UI automation and robotics.
Optimized for sub-second responses, making it perfect for conversational bots and live-stream analysis at scale.
Superior function calling and tool use reliability for building autonomous agents that interact with external APIs.
Answers about the speed, context, and capabilities of the ai gemini 2 flash model.
Guides, comparisons, and updates related to this model.
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