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.
Gemini 2.5 Flash No Thinking
The Gemini 2.5 Flash API provides an ultra-low-latency solution for multimodal AI applications. With a 1M token context window and native video support, it is engineered for developers prioritizing throughput and cost-efficiency.
Esempi di utilizzo dell’API
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"
}
]
}'Prezzi Gemini 2.5 Flash Nothinking
Chat, agenti di coding e lavoro sui documenti. Prezzi per 1M di token: input, input memorizzato nella cache e output vengono fatturati separatamente. GPTProto costa il 40% in meno rispetto alle tariffe ufficiali.
| Scenario | Listino ufficiale Google | OpenRouter | GPTProto | Risparmi al mese |
|---|---|---|---|---|
| Personale10M token/mese (4.8M nella cache) | $6.10 | $6.44 | $3.66 | −$2.44≈ $29.30 / anno |
| Team100M token/mese (48M nella cache) | $61.04 | $64.40 | $36.62 | −$24.42≈ $292.99 / anno |
| Aziendale500M token/mese (240M nella cache) | $305.20 | $321.99 | $183.12 | −$122.08≈ $1464.96 / anno |
Risparmia $0.00 / mese
Risparmio annuale ≈ $0.00 · pagamento a consumo
Modelli correlati
Tutti i modelli
Gemini 2.5 Flash No ThinkingAttuale
Google · 1.05M context · $0.18/M input · $1.5/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Modello
Prezzo: GPTProto
vs ufficiale
vs OpenRouter
Contesto
Stabilità
Gemini 2.5 Flash No ThinkingAttuale
Google
$0.18 / $1.50per 1M di token
-40%
-43%
1.05M
Gemini 2.5 Flash API Core Strengths
Discover the technical features that set the Gemini 2.5 Flash API apart, from its massive context window to its native multimodal engine.
Native Video Reasoning API
Analyze up to one hour of video natively at 1fps. Gemini 2.5 outperforms competitors by processing video without frame extraction.
Sub-200ms Flash Latency
Experience flagship speed with Time-to-First-Token under 200ms. Gemini 2.5 Flash is optimized for high-throughput user interactions.
Efficient Gemini 2.5 Pricing
At $0.10 per million tokens, Gemini 2.5 offers 50% savings over Pro models, making it the most cost-effective multimodal API.
Gemini 2.5 Flash API Common Questions
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.
Difference between Thinking and Flash variants?
The Gemini 2.5 Flash API is optimized for speed by bypassing the internal chain-of-thought reasoning used in Pro versions. This results in a Time-to-First-Token under 200ms, making Gemini 2.5 ideal for real-time applications where latency is critical. While the Pro variant handles complex logic better, the Flash API excels in high-throughput retrieval, massive context processing, and multimodal tasks at a fraction of the cost.
What is the context window for Gemini 2.5?
The Gemini 2.5 Flash API supports a massive 1-million-token context window, with specific tiers extending to 2 million. This allows the Gemini 2.5 model to process entire codebases, hour-long videos, or thousands of document pages in a single request. Benchmarks show a 99% recall rate in 'Needle-In-A-Haystack' tests, ensuring that Gemini 2.5 accurately retrieves specific information even when buried deep within a million tokens of data.
How does multimodal input work in Gemini 2.5?
Native multimodal support is a core feature of the Gemini 2.5 Flash API. It processes images, audio, video, and PDFs directly without requiring external preprocessing. For example, Gemini 2.5 can analyze an hour of video natively at 1 frame per second. This direct processing preserves emotional nuance in audio and spatial context in video, providing more accurate results for sentiment analysis and metadata tagging compared to text-only models.
Is Gemini 2.5 compatible with OpenAI's API?
Yes, migrating to the Gemini 2.5 Flash API is straightforward. The Gemini 2.5 model is 100% compatible with OpenAI-style message arrays. Developers can simply update their base URL and model string to 'gemini-2.5-flash-nothinking' to begin using our aggregator. This compatibility ensures that your existing code for chat completions, streaming, and tool use works seamlessly with the high-speed Gemini 2.5 infrastructure on GPTProto.com.
What are the costs for the Gemini 2.5 Flash API?
Pricing for the Gemini 2.5 Flash API is highly competitive, starting at $0.10 per 1 million tokens for context under 128k. For larger requests, the rate is $0.20 per 1 million tokens. Output tokens are priced at $0.30 per million. Through GPTProto.com, enterprise users can also access volume discounts of up to 10% for sustained traffic, along with cost-effective context caching options to further reduce expenses for repetitive data lookups.
Can Gemini 2.5 handle parallel tool calling?
Absolutely. The Gemini 2.5 Flash API is specifically tuned for agentic workflows, supporting up to 30 parallel function calls in a single turn. This allows the Gemini 2.5 model to synchronize data across multiple tools or route complex queries to specialized agents simultaneously. This high-throughput tool use, combined with the low latency of the Flash architecture, makes Gemini 2.5 a superior choice for building responsive AI agents.
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