Gemini 2.5 Pro API — million-token knowledge assistant
Use million-token contexts, document citations, and multimodal understanding to build research and support copilots.
1M context window
Keep massive archives or codebases in session with zero chunking.
Inline citations
Return per-answer references, locations, and metadata automatically.
Tabular reasoning
Understand spreadsheets, charts, and tables without manual preprocessing.
Multilingual native
Support 30+ languages for global knowledge workflows.
Try a prompt in seconds
Context
1M tokens
Load up to ~5,000 pages in a single prompt.
Citations
Enabled
Auto-link each insight to its original source.
Output
Markdown + JSON
Blend readable summaries and structured payloads.
Root-cause summary
Responses show highlights, source links, and follow-up recommendations.
High-context pricing
Keep large conversations flowing without switching models or rearchitecting prompts.
Start from day one with zero minimums and live usage analytics inside the dashboard.
- Latency-optimised global POP routing
- Automatic retries and circuit breaking
- Per-request billing insights in real time
Ideal for fast-growing teams that want predictable discounts and proactive quota alerts.
- Priority capacity reservations
- Team workspaces with audit trails
- Custom rate and budget controls
Tailored SLAs, private regions, and compliance workflows for regulated workloads.
- Private networking options
- Dedicated solutions engineer
- Custom invoicing and procurement
Bring Gemini into your knowledge base
Create a workspace and API key
Provision long-lived or temporary keys from the Transend dashboard and configure which providers are available to your team.
Call POST /chat/gemini-2.5-pro
Upload documents or pair with your vector search for RAG.
Ship the result to production
Each response returns task identifiers, elapsed time, and cost metadata. Wire it into your app with webhooks, polling, or background jobs.
import requests
payload = {
"documents": [{"type": "pdf", "url": "https://storage.example.com/reports.pdf"}],
"messages": [
{"role": "system", "content": "You are a reliability analyst."},
{"role": "user", "content": "Summarize recent incidents by service."}
],
"citations": True
}
resp = requests.post(
"https://api.transendai.net/v1/chat/gemini-2.5-pro",
headers={"Authorization": f"Bearer {API_KEY}"},
json=payload,
)
print(resp.json())
Knowledge assistant models
| Model | Context | Citations | Table reasoning | Price |
|---|---|---|---|---|
| Gemini 2.5 Pro | 1M | ✅ | ★★★★★ | $12 / 1M |
| Claude Sonnet 4.5 | 200K | ✅ | ★★★★☆ | $15 / 1M |
| GPT-5 Pro | 128K | ✅ | ★★★★☆ | $18 / 1M |
Support and research teams approve
Teams across finance, creative studios, and indie hackers ship production workloads with Transend AI.
“Gemini 2.5 Pro API helped us ship a usable MVP in under a week while cutting inference spend by 30%.”
“Latency is steady, failover is automatic, and on-call runs are finally quiet again.”
Answers for builders
Didn't find what you need? Email [email protected] – we reply within 12 hours.
Which regions does the Gemini 2.5 Pro API support?
Transend operates POPs in us-east, us-west, eu-central, and ap-southeast. The platform routes to the closest region automatically, and enterprise plans can request private regions or custom data residency.
Can we stream logs into our own observability stack?
Yes. Forward operational events through webhooks or export APIs into Datadog, Grafana, BigQuery, or any system that can ingest JSON streams.
How do we enforce budgets?
Real-time spend analytics live in the dashboard. Define model, team, or tag-based alerts and automatically throttle or downgrade when a budget threshold is reached.
Ready to ship with Gemini 2.5 Pro API?
Deploy unified AI experiences with a single API key. No quota bureaucracy, just blazing fast inference on the models your team loves.