
Gemini Deep Research Agent
autonomously plans, executes, and synthesizes multi-step research tasks to produce detailed, cited reports
What it does
The specific capability behind this listing, and where to get it.
Gemini Deep Research Agent
autonomously plans, executes, and synthesizes multi-step research tasks to produce detailed, cited reports
Official Gemini Deep Research Agent links
Pricing & plans
Observed public pricing for Gemini Deep Research Agent, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.15 /
The current price is deliberately competitive.
$0.15 is positioned against a $13–$50 observed middle market.
Why Agentery reaches that view
price_benchmark99.4% below the median.
get_agent_profile · plan historyper observed 2026-08-13.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Gemini Deep Research Agent good value?
How its price compares with genuinely comparable providers.
Not enough evidence yet to call it good — or poor — value.
Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.
Check capability before deciding
Compare capability, compatibility and operational cost against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Gemini Deep Research Agent's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "google_deep_research",
"name": "Gemini Deep Research Agent",
"url": "https://ai.google.dev/gemini-api/docs/interactions/deep-research",
"logo": "https://agentery.com/logos/CP-KK6AWQ-ld256.png",
"niche": "deep-research-agent",
"category": "research-knowledge-work",
"short_summary": "autonomously plans, executes, and synthesizes multi-step research tasks to produce detailed, cited reports",
"task_performed": "autonomously plans, executes, and synthesizes multi-step research tasks to produce detailed, cited reports",
"inputs_accepted": [
"text prompts/queries",
"documents (multimodal inputs)",
"multi-turn refinement interactions"
],
"outputs_produced": [
"detailed cited research reports",
"charts and graphs/visualizations",
"thinking summaries",
"streamed text and image deltas"
],
"integrations_available": [
"Google Search",
"URL Context",
"Code Execution",
"MCP servers",
"File Search"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "agentic",
"human_approval_needed": "sometimes required",
"pricing_model": "usage-based",
"price": {
"observed": true,
"billing": "freemium",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free tier + paid plans (price not published)",
"summary": "Gemini API offers a permanent free tier, usage-based paid access, and an enterprise tier priced through sales.",
"confidence": "medium",
"source_url": "https://ai.google.dev/gemini-api/docs/pricing",
"checked_at": "2026-09-02T04:43:14.931Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Free",
"price": "Free",
"period": null,
"persona": "free",
"highlights": [
"Free input and output tokens",
"Limited access to certain models",
"Google AI Studio access"
],
"price_annual": null
},
{
"name": "Paid",
"price": "Usage-based",
"usage": true,
"period": "usage",
"persona": "other",
"highlights": [
"Higher rate limits",
"Access to context caching",
"Access to batch API",
"Access to advanced models"
],
"price_annual": null
},
{
"name": "Enterprise",
"price": "Contact Sales",
"period": null,
"persona": "enterprise",
"highlights": [
"Dedicated support channels",
"Advanced security and compliance",
"Provisioned throughput",
"Volume-based discounts"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://ai.google.dev/gemini-api/docs/interactions/deep-research",
"https://blog.google/innovation-and-ai/models-and-research/gemini-models/next-generation-gemini-deep-research/",
"https://ai.google.dev/gemini-api/docs/pricing"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://ai.google.dev/gemini-api/docs/interactions/deep-research",
"docs": "https://ai.google.dev/docs",
"mcp": null,
"a2a": null,
"api": {
"docs_url": "https://ai.google.dev/api",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 672,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:35:23.734Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}