Gemini 2.5 1M Token Context
Process entire codebases and massive document sets with 99% recall. The Gemini 2.5 context window is built for deep data retrieval.
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "gemini-2.5-flash-nothinking",
"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.
Discover the technical features that set the Gemini 2.5 Flash API apart, from its massive context window to its native multimodal engine.
Process entire codebases and massive document sets with 99% recall. The Gemini 2.5 context window is built for deep data retrieval.
Analyze up to one hour of video natively at 1fps. Gemini 2.5 outperforms competitors by processing video without frame extraction.
Experience flagship speed with Time-to-First-Token under 200ms. Gemini 2.5 Flash is optimized for high-throughput user interactions.
At $0.10 per million tokens, Gemini 2.5 offers 50% savings over Pro models, making it the most cost-effective multimodal API.
Get the facts on the Gemini 2.5 Flash API. We cover performance, multimodal features, and how to integrate this high-speed model into your production stack via GPTProto.com.
Guides, comparisons, and updates related to this model.
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