2M Token Context
The ai gemini 2.5 pro features the industry's largest window for deep document and code analysis.
Gemini 2.5 Pro
The ai gemini 2.5 pro is a high-intelligence multimodal model by Google. It features a 2-million-token context window, excelling in native video analysis, reasoning, and complex codebase comprehension for demanding enterprise workflows.
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-pro",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Prezzi Gemini 2.5 Pro
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) | $24.60 | $25.95 | $14.76 | −$9.84≈ $118.08 / anno |
| Team100M token/mese (48M nella cache) | $246.00 | $259.53 | $147.60 | −$98.40≈ $1180.80 / anno |
| Aziendale500M token/mese (240M nella cache) | $1230.00 | $1297.65 | $738.00 | −$492.00≈ $5904.00 / anno |
Risparmia $0.00 / mese
Risparmio annuale ≈ $0.00 · pagamento a consumo
Modelli correlati
Tutti i modelli
Gemini 2.5 ProAttuale
Google · 1.05M context · $0.75/M input · $6/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 ProAttuale
Google
$0.75 / $6.00per 1M di token
-40%
-43%
1.05M
ai gemini 2.5 pro Technical Features
Explore the technical strengths of the ai gemini 2.5 pro model for complex ai workflows.
Native Multimodal
Interleaved processing of text, audio, and video for superior cross-modal ai reasoning.
Agentic Tool Use
Optimized for multi-step tool chaining with a 15% improvement in reliability for ai agents.
Context Caching
Reduce ai costs by up to 75% when reusing large datasets in gemini 2.5 pro prompts.
ai gemini 2.5 pro Frequently Asked Questions
Common questions about implementing the ai gemini 2.5 pro model into your production environment and its multimodal capabilities.
How does ai gemini 2.5 pro handle 2M tokens?
The ai gemini 2.5 pro uses advanced TPU infrastructure to maintain over 99% retrieval accuracy in its 2-million-token window. This allows the ai gemini 2.5 pro to process massive contexts, such as thousands of pages or hours of video, without losing track of specific details found in the 'needle in a haystack' tests. It is significantly more efficient than previous gemini versions for high-volume data analysis.
Does ai gemini 2.5 pro support native video?
Yes, ai gemini 2.5 pro features native multimodal encoding. Unlike models that use separate encoders, this ai processes video, audio, and text in a single stream. You can upload up to 2 hours of video directly to the ai gemini 2.5 pro, enabling it to answer questions about specific timestamps, summarize narratives, or identify visual events with high precision.
What is the cost of using ai gemini 2.5 pro?
Pricing for ai gemini 2.5 pro is tiered based on context. For prompts under 128k tokens, the ai input cost is $1.25 per 1M tokens. For larger requests, it increases to $2.50 per 1M tokens. All output from the ai gemini 2.5 pro is priced at $3.75 per 1M tokens. We also support context caching, which can reduce your ai input costs by up to 75% for frequently repeated large datasets.
Is ai gemini 2.5 pro compatible with OpenAI SDK?
Absolutely. Our platform provides an OpenAI-compatible endpoint for ai gemini 2.5 pro. You simply need to update your base URL and model name to 'gemini-2.5-pro'. This allows you to migrate existing ai workflows from GPT-4o or Claude to the gemini 2.5 pro infrastructure with minimal code changes, supporting both streaming and structured JSON outputs.
How does it compare to Claude 3.5 Sonnet?
While Claude 3.5 Sonnet is excellent for coding logic, ai gemini 2.5 pro leads in context size and multimodal breadth. The gemini 2.5 pro 2M window is ten times larger than Sonnet's 200k limit. Additionally, ai gemini 2.5 pro offers native video and audio processing, which Sonnet currently lacks, making gemini the preferred ai for rich media analysis and massive document corpora.
Is my ai data used for training?
No. Data processed through our ai gemini 2.5 pro API is strictly private. Neither our platform nor Google uses your inputs or outputs to train underlying models. We prioritize enterprise-grade security and trustworthiness, ensuring that your sensitive codebase or legal data remains confidential while using the ai gemini 2.5 pro model.
further reading
Guide, confronti e aggiornamenti relativi a questo modello.
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