OpenAI Deep Research

https://openai.com/index/introducing-deep-research/

Cross-listing: OpenAI Deep Research, launched Feb-2025 inside ChatGPT, is OpenAI's flagship long-horizon research agent (o3 base model). Distinct from the OpenAI Codex / Computer Use rows because the focus is web-research + multi-step synthesis. Available to Pro / Plus / Team / Enterprise users. The separate API models o3-deep-research and o4-mini-deep-research were retired on 2026-07-23, with gpt-5.6-sol as OpenAI's recommended replacement.

Active · Verified 2026-10-31 · fresh as of 2026-10-31 · 43 cited facts, 0 with a third-party source · Suggest a correction

At a glance

Tier
T1
Latest release
not applicable — wrong section fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Funding
not applicable — wrong section fix
Freshness
2026-10-31 fix
Layer
agent-infra repo fix
Licensing
commercial vendor fix
Deployment locus
cloud vendor fix
Platform vs product
product vendor fix
Protocols
mcp-client vendor fix
Compliance
gdpr, soc2-type2 vendor fix

When to use

Optimised for: autonomous web research + synthesis

Anti-fit: not applicable — wrong section

Pros & cons

Pros

Highest-quality research-agent in production as of 2025 H1; HLE benchmark dominance; integrated with ChatGPT distribution.

Cons

ChatGPT-only; Pro-tier-first ($200/mo); rate-limited; long-horizon turn-time (10–30 min).

Claims & capabilities

Launched Feb-2025 in ChatGPT (Pro tier first); built on o3; tackles 30-min+ multi-step research; benchmarks: HLE (Humanity's Last Exam) 26.6% (vs GPT-4o 3.3%)

Technical surface

API surface
not applicable — wrong section
Backend storage
not applicable — wrong section
Deployment
not applicable — wrong section
Embedding model
not applicable — not a memory product
Multi-tenancy
not applicable — wrong section
MCP
not applicable — wrong section
A2A
not applicable — wrong section
OpenTelemetry
not applicable — wrong section

Similar systems

Other use-case-specific agent harnesses in the catalog, ranked by inbound references.

  • Calypso AI (now F5 AI Guardrails) T2

    Dublin / NYC founded 2018; GenAI security and content scanning. $23M Series A-1 Aug-2024 (Paladin Capital + Lockheed Martin Ventures). Pivoted from defence ML to enterprise GenAI guardrails 2023-24.

  • Salesforce Agentforce T1

    Cross-listing: Salesforce Agentforce already exists under Vertical / Customer-support / voice memory; this row is the Agent-harness framing — Agentforce as the consumer-facing agent IDE / builder on Data Cloud. Agentforce launched Sep-2024; Agentforce 2.0 announced Dec-2024.

  • Lasso Security T2

    Tel-Aviv-founded LLM security platform — adversarial testing, prompt-injection defence, data-leakage prevention. $6M seed Nov-2023 (Entrée Capital + Samsung Next).

  • Pillar Security T2

    Tel-Aviv-founded (Dor Sarig + Ziv Karliner, both ex-IDF cyber); end-to-end LLM security platform — discovery, red-teaming, runtime guardrails. $9M seed Apr-2024 (Shield Capital + Greenfield).

  • Promptfoo T2

    OSS (MIT) prompt-engineering eval and red-team CLI; supports OWASP LLM Top-10 vulnerability tests, jailbreak generation, and CI/CD pipeline integration. $5M seed Mar-2024 (Andreessen Horowitz). Founders ex-Discord + ex-Smile Identity.

  • Protect AI T2

    Founded 2022 by Ian Swanson + Daryan Dehghanpisheh (ex-AWS); AI/ML supply-chain + GenAI security. Acquired by Palo Alto Networks (2025-07-22; announced Apr-2025, reported $700M); its capabilities now ship in Prisma AIRS. Products: Recon (red-team), ModelScan (model artifact scanner), Sightline (vulnerability DB).

Sources (42 cited facts, 0 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).