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Gemini Deep Research Agent

ai.google.dev/gemini-api/docs/interactions/deep-research official website

autonomously plans, executes, and synthesizes multi-step research tasks to produce detailed, cited reports

agent
Agentery price verdictNo pricing observed
Billing model
Last checked28 Jul 2026pricing & liveness

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

text prompts/queries, documents (multimodal inputs), multi-turn refinement interactions → detailed cited research reports, charts and graphs/visualizations, thinking summaries, streamed text and image deltas
Google SearchURL ContextCode ExecutionMCP serversFile SearchMCPautonomy: agentic
Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Gemini Deep Research Agent good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
NicheDeep Research Agent
Price benchmarknot applicable
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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"
  ],
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  "industry_fit": [
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  "autonomy_level": "agentic",
  "human_approval_needed": "sometimes required",
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  "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, paid usage-based model rates, and an enterprise option priced through sales.",
    "confidence": "high",
    "source_url": "https://ai.google.dev/gemini-api/docs/pricing",
    "checked_at": "2026-07-28T05:32:42.367Z",
    "amount": null,
    "display": null,
    "plans": [
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        "name": "Free",
        "price": "Free",
        "period": null,
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        "highlights": [
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          "Free input and output tokens",
          "Google AI Studio access"
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      {
        "name": "Paid",
        "price": "Usage-based",
        "usage": true,
        "period": "usage",
        "persona": "other",
        "highlights": [
          "Higher rate limits for production deployments",
          "Access to context caching and Batch API",
          "Published model rates include $0.002, $0.005, $0.0053, $0.018, $0.0315, $0.0368, $0.045, $0.067, $0.10, $0.151, $0.75, $1.00, $3.00, $3.50, $4.50, $12.00, $14, $21.00, and $60.00"
        ]
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      {
        "name": "Enterprise",
        "price": "Contact Sales",
        "period": null,
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          "Dedicated support channels",
          "Advanced security and compliance",
          "Provisioned throughput and volume-based discounts"
        ]
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    ],
    "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": {
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    "docs": "https://ai.google.dev/docs",
    "mcp": null,
    "a2a": null,
    "api": {
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      "endpoint": null
    },
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1450,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:34:11.896Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
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    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}