# Vertex AI (Gemini Enterprise Agent Platform) > Google Cloud's enterprise API for Gemini models and Model Garden partner and open models, including Claude, Llama and Qwen, on the platform formerly called Vertex AI, with regional endpoints, provisioned throughput and IAM access. - Canonical: https://www.anchorterminal.com/tools/vertex-ai - Pricing: https://www.anchorterminal.com/tools/vertex-ai#pricing - Reviews: https://www.anchorterminal.com/tools/vertex-ai#reviews - Markdown: https://www.anchorterminal.com/tools/vertex-ai.md (~11,350 tokens) - Slim: https://www.anchorterminal.com/tools/vertex-ai.min.md (~1,780 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/tools/vertex-ai.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - DNS: dig +short TXT vertex-ai.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.. and .vs.. under the zone, and the same under grade.letme.dev) - Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data) - Updated: 2026-11-07 ## Overview **Grade AA · 88.7/100 · rank #2 of 1510 · #1 in Model APIs & inference · agent-ready · confidence medium** More from Google Cloud, listed separately because each is its own product: [Gemini Developer API](https://www.anchorterminal.com/tools/gemini-api.md) (Model APIs & inference), [Gemini Embedding](https://www.anchorterminal.com/tools/gemini-embedding.md) (Embeddings & rerankers), [Vertex AI Gemini tuning](https://www.anchorterminal.com/tools/vertex-ai-tuning.md) (Fine-tuning), [Cloud Run GPUs](https://www.anchorterminal.com/tools/cloud-run-gpus.md) (GPU & serverless compute), [Google Cloud Model Armor](https://www.anchorterminal.com/tools/google-model-armor.md) (Guardrails & safety filters), [Google Imagen](https://www.anchorterminal.com/tools/google-imagen.md) (Image generation), [Google Veo](https://www.anchorterminal.com/tools/google-veo.md) (Video generation), [Google Lyria](https://www.anchorterminal.com/tools/google-lyria.md) (Music generation), [Google Cloud Speech-to-Text](https://www.anchorterminal.com/tools/google-speech-to-text.md) (Speech-to-text), [Google Cloud Text-to-Speech](https://www.anchorterminal.com/tools/google-cloud-tts.md) (Text-to-speech), [Gemini Live API](https://www.anchorterminal.com/tools/gemini-live.md) (Conversational voice agents), [Agent Development Kit (ADK)](https://www.anchorterminal.com/tools/google-adk.md) (Agent frameworks & SDKs), [Agent Platform Memory Bank](https://www.anchorterminal.com/tools/google-memory-bank.md) (Agent memory), [Google Cloud Secret Manager](https://www.anchorterminal.com/tools/google-secret-manager.md) (Secrets & credential vaults), [Google Cloud Document AI](https://www.anchorterminal.com/tools/google-cloud-document-ai.md) (Document parsing & extraction), [Google Weather API (Maps Platform)](https://www.anchorterminal.com/tools/google-weather-api.md) (Weather & climate data), [Chrome DevTools MCP](https://www.anchorterminal.com/tools/chrome-devtools-mcp.md) (Browser automation), [Google Maps Platform + Grounding Lite MCP](https://www.anchorterminal.com/tools/google-maps-platform.md) (Maps, geocoding & places), [Google Cloud Translation](https://www.anchorterminal.com/tools/google-cloud-translation.md) (Translation), [Google Calendar API](https://www.anchorterminal.com/tools/google-calendar-api.md) (Calendars & scheduling), [Firebase Cloud Messaging](https://www.anchorterminal.com/tools/firebase-cloud-messaging.md) (Notifications), [Google Cloud Storage](https://www.anchorterminal.com/tools/google-cloud-storage.md) (File storage & sharing), [Google Drive API + MCP](https://www.anchorterminal.com/tools/google-drive-api.md) (File storage & sharing), [Gemini Enterprise](https://www.anchorterminal.com/tools/gemini-enterprise.md) (Company knowledge & data catalogues), [Gemini CLI](https://www.anchorterminal.com/tools/gemini-cli.md) (Agent harnesses), [Google Search Console API](https://www.anchorterminal.com/tools/google-search-console.md) (SEO & search visibility), [Google Ads API](https://www.anchorterminal.com/tools/google-ads-api.md) (Advertising & campaign operations), [Google Forms API](https://www.anchorterminal.com/tools/google-forms.md) (Forms, surveys & structured intake), [Google Sheets API](https://www.anchorterminal.com/tools/google-sheets-api.md) (Spreadsheets & operational tables), [Gmail API](https://www.anchorterminal.com/tools/gmail-api.md) (Mailbox access), [Google People API](https://www.anchorterminal.com/tools/google-people-api.md) (Contacts & address books). ## Assessment Gemini, Claude and open models through one Google Cloud API with IAM, regional endpoints, schema-guaranteed JSON and a 99.5 per cent SLA, and no Vertex incident on the Cloud status page in the 90 days to 6 November 2026. Gemini 4 Argon and 3.8 Flash have 12-month availability, but short-term Flash models get a 95 per cent SLA. ## Facts | Field | Value | | --- | --- | | Vendor | Google Cloud (https://cloud.google.com/products/gemini-enterprise-agent-platform) | | Kind | Model API | | Category | Model APIs & inference (https://www.anchorterminal.com/categories/inference) | | Transport | HTTP | | Endpoint | `https://aiplatform.googleapis.com/v1` | | Auth | OAuth or key · OAuth 2.0 bearer tokens from application default credentials or service accounts, with IAM roles on a Google Cloud project, which the docs recommend for production. Google Cloud API keys, including express mode keys (Preview) that need no project or location in the URL, are recommended for testing. The OpenAI-compatible endpoint accepts only Google Cloud auth. | | Pricing | Pay per use (from $0.30 / 1M in) · Per-token prices per model, with global and higher non-global rates and Standard, Priority and Flex/Batch options. Gemini 4 Argon costs $4/$20 per million, with 50% credits back through 2026-11-30. Gemini 3.8 Flash costs $0.75/$3.75 through 2026-12-31, then $1.50/$7.50. Claude Opus 5.5 $4/$20. Batch and Flex half price on Gemini. Only requests that return 200 are charged. Express mode gives new users 90 days free with no billing details (https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing). | | x402 | No · No x402, MPP or L402 on the pricing page or in the express mode docs (checked 2026-11-06). Access needs a Google account and, after the express trial, a Cloud billing account. | | Licence | Proprietary service under the Google Cloud Platform terms. Partner models carry their providers' terms. The Google Gen AI SDKs are Apache-2.0 | | Packages | pypi: `google-genai`; npm: `@google/genai`; pypi: `google-cloud-aiplatform` | | Source | https://github.com/googleapis/python-genai | | Docs | https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/start | | llms.txt | not found | | Last release | 2026-11-05 | | PyPI downloads / week | 20,917,051 | | Surface listed | Generative inference on aiplatform.googleapis.com (generateContent, the Interactions API, the OpenAI-compatible path and Model Garden partner models). Tuning is the vertex-ai-tuning listing, the Gemini Developer API is gemini-api and Gemini Enterprise is gemini-enterprise. Read from Google Cloud docs, pricing, release notes and status feed on 6 November 2026; no project was made | | Free tier | Express mode (Preview), 90 days for new Google Cloud users within quotas, no billing details, @gmail.com accounts | | Trains on API data | No, without prior permission, per the training restriction in the Service Specific Terms | | Data retention | In-memory cache 24 hours (can be disabled). Flagged prompts up to 90 days. Advanced AI models, Claude Fable 5 and Mythos 5 included, 30 days | | Zero data retention | By exception request for abuse monitoring, plus turning off caching, logging and Interactions storage. Not possible with Search or Maps grounding | | Rate limits | Standard PayGo tiers by 30-day spend, for example 2,000,000 to 50,000,000 TPM for Flash models and 500,000 to 10,000,000 for Pro, plus Provisioned Throughput | | Batch | 50% off on Gemini through Flex/Batch. Claude batch prices listed per model | | SLA | 99.5% monthly uptime, 95% for short-term availability models (Gemini 3.7 and 3.6 Flash on 6 November 2026), latency SLO on Provisioned Throughput | | Endpoints | Global `aiplatform.googleapis.com` and regional `{location}-aiplatform.googleapis.com`, plus an OpenAI-compatible `endpoints/openapi` path | | Status | status.cloud.google.com, product 'Vertex Gemini API' | | Capabilities | inference.llm, inference.open-weights | | Tags | official, hosted, model, open-weights, enterprise, usage-priced, free-tier, no-card, python, typescript, status-page | | JSON | https://www.anchorterminal.com/api/v1/tools/vertex-ai.json | ## Score breakdown (methodology v0.7, October 2026 research run) Assessed 2026-11-06 from public evidence against the published checklist (https://www.anchorterminal.com/benchmark/#checklist). Confidence: medium. Performance and Task success pending (no score, not in the total); the total is Σ(score × weight) ÷ 80 over the 7 assessed categories. "This run" is each category's share of the 100 points. | Category | Weight | This run | Score (0–100) | Points | | --- | --- | --- | --- | --- | | Reliability | 16% | 20 | 99 | 19.8 | | Performance | 10% | pending | pending | n/a | | Schema & documentation | 13% | 16.2 | 94 | 15.3 | | Agent ergonomics | 13% | 16.2 | 97 | 15.8 | | Security & auth | 14% | 17.5 | 97 | 17.0 | | Payments & pricing | 10% | 12.5 | 40 | 5.0 | | Task success | 10% | pending | pending | n/a | | Maintenance & community | 7% | 8.8 | 91 | 8.0 | | Transparency & trust (editorial 83, provenance 97) | 7% | 8.8 | 90 | 7.9 | | Negative events | up to −15 | up to −15 | none recorded | 0 | | **Total** | | | | **88.7 → AA** | ### Why each score - Reliability 99 (checked 2026-11-06): Google Cloud status dashboard with per-product history (20). Its incident feed, read on 6 November, has no incident naming Vertex Gemini API, Gemini or the Agent Platform in the 90 days. The regional incidents of 20 August, 1 September and 20 October (europe-west2) and the Cloud Storage incident of 8 and 9 October didn't list it among affected products (30). Standard PayGo publishes usage tiers by 30-day spend with baseline throughput, 2,000,000 to 50,000,000 tokens a minute for Flash models and 500,000 to 10,000,000 for Pro, plus quota tables for other methods (15). A 429 page says to use the global endpoint and truncated exponential backoff, and a retry-strategy page (15). SLA of 99.5 per cent a month on generateContent and streamGenerateContent, 95 per cent for short-term availability models, and a latency SLO on Provisioned Throughput. The 429 page says pay-as-you-go 429s don't count toward the SLA error rate (10). Gemini 4 Argon reached GA on 13 October and Gemini 3.8 Flash moved to the 12-month tier, and the v1 API, 3.5 Flash-Lite and Claude Opus 5.5 are GA, but express mode was Preview at the 6 October check (9 of 10, up from 8). Up from 98 on 6 October. - Performance: Pending. Latency is measured per call by our probes, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until the first probe window closes. - Schema & documentation 94 (checked 2026-11-06): Model reading. Keyless discovery document for the Agent Platform API v1, revision 20260930, with 1,128 methods and 1,493 schemas (25). No llms.txt, but every docs page answers as Markdown at `.md.txt`, counted as for vertex-ai-tuning (10). Model cards give limits, capabilities and retirement dates, and the 3.8 Flash card says when to use 3.7 Flash instead, but the docs mix the Vertex AI and Agent Platform names, and the OpenAI page tells new users to call the Gemini Developer API instead (16 of 20). Structured output with `response_schema` and `response_mime_type: application/json` always follows the schema per the docs, and complex schemas fail with a 400 (15). Examples on every page and a 429 guide, but we found no full error code list for generateContent (13 of 15). Versioned v1 and v1beta1 APIs and release notes with entries on most working days, newest 5 November 2026 (15). - Agent ergonomics 97 (checked 2026-11-06): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with `FunctionCallingConfig` mode ANY and `allowedFunctionNames` to force a named tool (20). Schema-guaranteed JSON output (15). Implicit and explicit context caching, cached input at 0.1x, $0.075 per million on 3.8 Flash through 31 December (15). 1,048,576-token context on 3.8 Flash, a unified 1,048,576-token input and output limit on Gemini 4 Argon, and 1,000,000 on Claude Opus 5.5 (15). Flex/Batch at half price on Gemini (10). Gen AI SDKs for Python and JavaScript among others, and the OpenAI libraries work with Google Cloud auth (10). 429 handling documented per quota framework, with standard Google status codes elsewhere (12 of 15). - Security & auth 97 (checked 2026-11-06): Model reading. OAuth 2.0 with IAM roles and service accounts, which the docs recommend for production, with API keys for testing. No key in a query string found in the docs we read (30). The training restriction in the Service Specific Terms says Google won't use customer data to train or fine-tune any model without permission, GA and pre-GA alike (20). Default in-memory caching for 24 hours that can be disabled, flagged prompts logged up to 90 days unless an abuse-monitoring exception is granted or the customer has a Cloud Master Agreement, the Interactions API storing by default, and Claude Fable 5 and Mythos 5 requiring 30-day retention shared with Anthropic (12 of 15, a judgement call matching the Fable exception on the Anthropic and Bedrock listings). Cloud Audit Logs, with Data Access logs off until enabled, and optional request-response logging to BigQuery (15). google.com security.txt valid to 2030-04-01, the Google VRP, and Generative AI on the platform in ISO 27001, 27017 and 27018 and SOC 1, 2 and 3 scope per the 1 October services-in-scope check for vertex-ai-tuning, not re-read on 6 October (20). - Payments & pricing 40 (checked 2026-11-06): No x402, MPP or L402 (0). Per-token prices per model and option published without a login (20). Express mode gives new Google Cloud users 90 days free within quotas with no billing details, though it's in Preview and needs a @gmail.com account (20). A person signs up in the console to get the express key (0). - Task success: Pending. Task success needs the category task suites run through each tool, which haven't run yet, so this run doesn't score it. Its weight is shared across the assessed categories until then. A data provider's data-quality score is published on its listing now and becomes half of this category when it's scored. - Maintenance & community 91 (checked 2026-11-06): Model reading. Gemini Omni 1.2 Flash GA on 5 November, Grok 4.7 GA on 27 October, Gemini 4 Argon GA on 13 October and Claude Haiku 5.5 on 7 October 2026 (30). Stable models stay at least 12 months, and since 6 October Gemini 4 Argon and Gemini 3.8 Flash are in that tier, while 3.7 and 3.6 Flash remain short-term with at least 45 days' notice once a date is set (10 of 12, up from 8). Gemini 2.5 Pro, Flash and Flash-Lite were due to retire on 20 October, three models on one date after more than 12 months, with replacements named. We didn't check partner model retirements (6 of 8, down from 8). Dated release notes on most working days, newest 5 November, and Cloud Customer Care (15). python-genai replies not sampled this run (5 of 10). Current SDKs, google-genai 3.0.0 on 6 November and `@google/genai` 3.0.0, and google-cloud-aiplatform 2.7.0 on 28 October 2026 (15). Supported runtimes stated, Python 3.10 or later and Node 20 or later, per the 6 October check (10). Unchanged at 91. - Transparency & trust 90 (checked 2026-11-06): Closed service under the Google Cloud terms, with the Gen AI SDKs under Apache-2.0 and a public discovery document (18, as for Bedrock's open service models). The zero data retention and abuse monitoring pages agree with the Cloud terms and give periods for each case, 24 hours in memory, up to 90 days for flagged prompts, 30 days for Advanced AI models, 3 days for Search grounding logs and 30 days for Maps grounding, and say which can't be switched off (27 of 30). A dated model versions table with release and retirement dates and a stated 12-month or 45-day policy, but on 6 November it still listed Gemini 2.5 Pro, Flash and Flash-Lite as available with a 20 October 2026 retirement date and left them out of the retired table (18 of 20, down from 20). The Cloud subprocessor list with locations, per the 1 October vertex-ai-tuning check, regional and multi-region endpoints, and per-model ML processing locations on the partner model cards (20). Fix list, everything this grade says the listing lacks, the biggest gain first (15 items). What it covers is at https://www.anchorterminal.com/fixes/vertex-ai.md (JSON https://www.anchorterminal.com/fixes/vertex-ai.json). The whole list for a coding agent comes from `POST https://www.anchorterminal.com/api/v1/fix-list` with `{"listing": "vertex-ai", "plan": "read"}`, free while the beta runs ### What we couldn't check - Changed since 6 October 2026 (rechecked 6 November). Gemini 4 Argon GA on 13 October and Gemini 3.8 Flash moved from short-term to the 12-month tier (reliability 98 to 99; maintenance notice up, churn down, still 91); Gemini 2.5 Pro, Flash and Flash-Lite due to retire on 20 October but still shown as available (transparency 85 to 83); Claude Haiku 5.5, Grok 4.7 GA and google-genai 3.0.0 added; no Vertex incident on the status feed - unchecked: partner model retirements (Claude, Llama, Mistral and others) in the last 90 days, which sit outside the Gemini model versions table - unchecked: services-in-scope and subprocessor list were not re-read on 6 October and rely on the 1 October vertex-ai-tuning check - The Claude Opus 5.5 batch prices on the pricing page ($2.50/$12.50) are more than half the $4/$20 list price, unlike other models; we couldn't tell whether this is a page error - Whether Gemini 2.5 Pro, Flash and Flash-Lite were retired on 20 October 2026 or extended, since the model versions table read on 6 November still lists them as available with that date - unchecked on 6 November: express mode's Preview status, the SLA pages and the zero data retention and abuse monitoring pages, which rest on the 6 October reading ### Sources - status incident feed: (seen 2026-11-06) - generative AI SLA: (seen 2026-10-06) - platform SLA: (seen 2026-10-06) - SLA index: (seen 2026-10-06) - pricing: (seen 2026-11-06) - quotas: (seen 2026-10-06) - Standard PayGo tiers: (seen 2026-10-06) - 429 errors: (seen 2026-10-06) - model versions and retirement: (seen 2026-11-06) - zero data retention: (seen 2026-10-06) - abuse monitoring: (seen 2026-10-06) - express mode: (seen 2026-10-06) - API keys: (seen 2026-10-06) - quickstart: (seen 2026-10-06) - OpenAI compatibility: (seen 2026-10-06) - structured output: (seen 2026-10-06) - Gemini 3.8 Flash card: (seen 2026-11-06) - Claude Opus 5.5 card: (seen 2026-10-06) - release notes: (seen 2026-11-06) - discovery document: (seen 2026-10-06) - google-genai on PyPI: (seen 2026-11-06) - google-cloud-aiplatform downloads: (seen 2026-11-06) - security.txt: (seen 2026-11-06) - Gemini 4 Argon card: (seen 2026-11-06) - google-cloud-aiplatform on PyPI: (seen 2026-11-06) ## Score history Every move of a score since the listing was graded, newest first, with its cause. A score can't move without an entry here. JSON: https://www.anchorterminal.com/api/v1/tools/vertex-ai/history.json - 2026-11-06: graded 88.7 AA (methodology 0.7) ## Who's behind it (provenance 97/100, checked 2026-11-06) | Check | Finding | Points | | --- | --- | --- | | Legal entity named | Google LLC | 20/20 | | Domain age | google.com, registered 1997-09-15 (29 years) | 15/15 | | Endpoint on the vendor's domain | aiplatform.googleapis.com | 15/15 | | Terms of service | read, states 7 of the 7 things a reader expects | 10/10 | | Privacy policy | read, states 7 of the 8 things a reader expects, and has 1 clause that costs points | 7.3/10 | | Status page | status.cloud.google.com | 10/10 | | Changelog | published | 10/10 | | security.txt | valid | 10/10 | | People named | 5 named with their role, none with a public profile | 7/10 | | Support route | help pages | 5/5 | The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997. The product runs under the Google Cloud Platform terms, whose contracting Google entity depends on the billing country, as for vertex-ai-tuning. www.google.com/.well-known/security.txt expires on 2030-04-01 (read 2026-11-06). docs.cloud.google.com has no llms.txt (404 on 6 October 2026), but each docs page answers as Markdown when `.md.txt` is added to its URL. ### Terms and privacy, as read A reading by a fixed set of rules, each answered with the vendor's own sentence. Not legal advice. **Terms of service** (https://cloud.google.com/terms), read 2026-10-08, dated 2026-09-02, states 7 of the 7 things a reader expects. - To know. Says access can be ended without notice or for any reason. "For purposes of GCP Services and TSS only, Google may terminate this Agreement or any applicable Order Form for its convenience at any time with 30 days' prior written notice to Customer." - Gives the date it was last updated. Last updated 2026-09-02. - Names the governing law or courts. The law of the United States of America. - States a limit on its liability. Capped at the fees paid in the 12 months before the claim or $5,000. - Says how changes to the terms are announced. Gives 30 days of notice before a change. - Refers to a service level or uptime commitment. Names 99.999% availability. - Also in the text (2026-10-08). Google may change its fees at any time unless an addendum or order form expressly says otherwise. "Google may change the Fees at any time unless otherwise expressly agreed in an addendum or Order Form." - Also in the text (2026-10-08). Google's total liability for services or software supplied free of charge is limited to 5,000 US dollars. "except Google’s total aggregate Liability for damages arising out of or related to Services or Software provided free of charge is limited to $5,000." - Also in the text (2026-10-08). When automated safety tools detect potential abuse of Generative AI Services, Google may log customer prompts to review whether a violation occurred. "Google may log Customer prompts solely for the purpose of reviewing and determining whether a violation has occurred." **Privacy policy** (https://policies.google.com/privacy), read 2026-10-08, dated 2026-10-01, states 7 of the 8 things a reader expects. - To know. Says it may use customer content to train or improve models, and no opt-out was found (costs points). "We use your interactions with AI models and technologies like Gemini Apps to develop, train, fine-tune, and improve these models to better handle your requests, and update their classifiers and filters including for safety, language understanding, and factuality." - Gives the date it was last updated. Last updated 2026-10-01. - Not found in the text. Says where data is transferred or stored. - Also in the text (2026-10-08). Members of organisations using Google Workspace or Google Cloud Platform are referred to the separate Google Cloud Privacy Notice for how those services collect and use personal information. "If you’re a member of an organization that uses Google Workspace or Google Cloud Platform, learn how these services collect and use your personal information in the Google Cloud Privacy Notice." - Also in the text (2026-10-08). Google says it uses publicly available information from the web and other public sources to help train machine learning models behind products such as Google Translate, Gemini Apps and Cloud AI. "We use publicly available information online or from other public sources to help train new machine learning models and build foundational technologies that power various Google products such as Google Translate, Gemini Apps, and Cloud AI capabilities." ## Humans behind the project (researched 2026-11-06 from public pages, not part of the grade) ### Key people - Larry Page, Co-founder, Google, left executive roles in December 2019 and sits on Alphabet's board - Sergey Brin, Co-founder, Google, left executive roles in 2019 and sits on Alphabet's board - Sundar Pichai, CEO, Google and Alphabet - Thomas Kurian, CEO, Google Cloud - Demis Hassabis, Co-founder and CEO, Google DeepMind - Note: Google Cloud is Google's cloud business, so the company-level people are the same as for Google (out/top/antigravity-cli.json), with Thomas Kurian added as CEO of Google Cloud from Wikipedia's Google Cloud article (infobox owner Google, CEO Thomas Kurian) and his own article, read 28 October 2026. Product people named on single listings (Sarah Weldon, Rohit Kumbhalwar, Brad Meador, Haris Ioannou) are left as they are. Copied from data/humans/vertex-ai-tuning.json on 6 November 2026 for the same company, not researched again. - Google Cloud: LinkedIn https://www.linkedin.com/company/google X https://x.com/Google ### Ownership and investors - Ownership: Part of Alphabet Inc. ### Getting support - Help: https://cloud.google.com/support-hub - Help: https://support.google.com/ - Sources: https://about.google/intl/ALL_en/our-story/, https://www.linkedin.com/company/google, https://x.com/Google, https://cloud.google.com/contact, https://cloud.google.com/support-hub ## Live (updated 2026-11-07 22:56 UTC) - Right now: up, HTTP 404, 125 ms, checked 2026-11-07 22:56 UTC (get on `https://aiplatform.googleapis.com/v1`) - Uptime 24h 100.0% (244 probes) · 30 days 100.0% (246 probes) · p50 121 ms · p95 745 ms - github `googleapis/python-genai` v3.0.0, released 2026-11-06 - npm `@google/genai` 3.0.0 - pypi `google-cloud-aiplatform` 2.7.0, released 2026-10-28 - pypi `google-genai` 3.0.0, released 2026-11-06 - security.txt: valid, expires 2030-04-01T00:00:00z - Watching deprecations , last changed 2026-11-07 14:01 UTC - Always current: https://www.anchorterminal.com/api/v1/live/vertex-ai.json ## Probe metrics Not measured yet. Our benchmark probes haven't run, so there's no availability, latency or error rate from a run and Performance is pending. Live uptime, where we poll the endpoint, is under Live and doesn't change the score. ## Models and prices (per 1M tokens) | Model | Input | Output | Context | Role | Supports | | --- | --- | --- | --- | --- | --- | | `gemini-3.1-pro-preview` Gemini 3.1 Pro (preview) | $2 | $12 | 1.05M | flagship ($4/$18 over 200K tokens) | not checked | | `gemini-3.8-flash` Gemini 3.8 Flash | $0.75 | $3.75 | 1.05M | default (global price; $1.50/$7.50 from 2027-01-01; short-term availability) | not checked | | `gemini-3.5-flash-lite` Gemini 3.5 Flash-Lite | $0.30 | $2.50 | 1.05M | fast (available until 2027-07-21 or later) | not checked | | `claude-opus-5-5` Claude Opus 5.5 | $4 | $20 | 1M | flagship (partner model, global price) | not checked | Rate limits depend on your account tier: https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/standard-paygo ## What a task costs (estimated, per task) | Model | Research report | Small website | Bug fix | | --- | --- | --- | --- | | `gemini-3.1-pro-preview` (no cache price published, cached reads at the input price) | $22.03 | $5.09 | $1.09 | | `gemini-3.8-flash` (no cache price published, cached reads at the input price) | $8.23 | $1.88 | $0.41 | | `gemini-3.5-flash-lite` (no cache price published, cached reads at the input price) | $3.34 | $0.79 | $0.16 | | `claude-opus-5-5` (no cache price published, cached reads at the input price) | $43.88 | $10.03 | $2.16 | Each figure is the same tokens priced at this model's rates, research report (134 fresh input, 207k cache writes, 10.5M cache reads and 46k output, the median of 156 runs), small website (48 fresh input, 106k cache writes, 2.2M cache reads and 40k output, the median of 4 runs) and bug fix (16 fresh input, 57k cache writes, 472k cache reads and 2k output, the median of 4 runs). We measured the tokens with Claude Opus 5.5 in Claude Code, so another model may use more or fewer tokens for the same job, and these compare prices, not how well or how efficiently each model works. Long-context surcharges, batch discounts and free allowances aren't counted. How we measured them: https://www.anchorterminal.com/prices/index.md ## Prices | Item | Price | Unit | Note | | --- | --- | --- | --- | | Grounding with Google Search over 5,000 a month (Gemini 3) | $14 | per 1,000 requests | | Across all listings: https://www.anchorterminal.com/prices/index.md ## Dated changes - 2026-10-20 · Shutdown · `gemini-2.5-pro`, `gemini-2.5-flash` and `gemini-2.5-flash-lite` retire (source: ) - 2026-11-19 · Shutdown · `gemini-3.6-flash` retires (source: ) - 2026-12-13 · Shutdown · `gemini-live-2.5-flash-native-audio` retires (source: ) - 2027-01-01 · Price change · Gemini 3.6, 3.7 and 3.8 Flash prices double to $1.50/$7.50 (source: ) - 2027-01-28 · Shutdown · `gemini-3.7-flash` retires (source: ) All listings, as a calendar: https://www.anchorterminal.com/sunsets.ics ## Strengths - No incident naming Vertex or Gemini on status.cloud.google.com between 8 July and 6 October 2026 - Public discovery document for the v1 API (revision 20260930) with 1,128 methods and 1,493 schemas - JSON output follows a supplied `response_schema` when `response_mime_type` is `application/json` - Express mode gives new users 90 days free with an API key and no billing details - Only requests that return 200 are charged - Gemini 4 Argon, GA since 13 October 2026, has a 1,048,576-token unified limit at $4/$20 per million tokens ## Weaknesses - The SLA drops from 99.5 to 95 per cent for short-term availability models, Gemini 3.7 and 3.6 Flash among them - Gemini 3.6 Flash, released 21 July 2026, retires on 19 November 2026, and 3.7 Flash on 28 January 2027 - Zero retention needs an exception request, and flagged prompts may be kept up to 90 days - The Interactions API stores prompts and responses unless `store` is set to false - No llms.txt on the docs site, and the docs mix the Vertex AI and Agent Platform names - The model versions table still listed Gemini 2.5 Pro, Flash and Flash-Lite as available after their 20 October 2026 retirement date ## Before you call it (notes for agents) 1. Call the `global` location on aiplatform.googleapis.com unless data residency requires a Region. The 429 guide says it spreads load and reduces errors 2. Back off exponentially on 429 `Resource exhausted`. On Standard PayGo it means shared capacity is busy, not a fixed quota 3. Send `response_schema` with `response_mime_type: application/json`. JSON mode alone doesn't guarantee valid output 4. Set `store` to false on Interactions API calls. It defaults to true and keeps prompts and responses 5. Pin `gemini-4-argon` or `gemini-3.8-flash`, both in the 12-month tier, rather than 3.7 or 3.6 Flash, which retire on 28 January 2027 and 19 November 2026 ## Connect Install: ```bash pip install google-genai # or: npm i @google/genai ``` First request: ```bash curl -X POST \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $(gcloud auth print-access-token)" \ "https://aiplatform.googleapis.com/v1/projects/${GOOGLE_CLOUD_PROJECT}/locations/global/publishers/google/models/gemini-3.8-flash:generateContent" \ -d '{"contents":{"role":"user","parts":{"text":"Explain how AI works in a few words"}}}' ``` ## Similar tools Ranked by shared capabilities, then score. Same-category tools with no shared capability key are listed last. | Tool | Grade | Score | Rank | Shared capabilities | x402 | Markdown | | --- | --- | --- | --- | --- | --- | --- | | Amazon Bedrock | A | 81.7 | 8 | inference.llm, inference.open-weights | no | https://www.anchorterminal.com/tools/amazon-bedrock.md | | Azure OpenAI in Foundry Models | A | 80 | 14 | inference.llm, inference.open-weights | no | https://www.anchorterminal.com/tools/azure-openai.md | | GroqCloud | BB | 74.5 | 81 | inference.llm, inference.open-weights | no | https://www.anchorterminal.com/tools/groq.md | | Fireworks AI Inference | B | 69.3 | 251 | inference.llm, inference.open-weights | no | https://www.anchorterminal.com/tools/fireworks-inference.md | | Cloudflare Workers AI | B | 69.2 | 256 | inference.llm, inference.open-weights | no | https://www.anchorterminal.com/tools/cloudflare-workers-ai.md | | Cerebras Inference | B | 68.6 | 278 | inference.llm, inference.open-weights | no | https://www.anchorterminal.com/tools/cerebras-inference.md | ## Panel reviews (0) Reviewed by the Anchor panel (https://www.anchorterminal.com/reviewers/index.md): . Desk reviews, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. For a desk review, the outcome says whether the reviewer's questions could be answered from public material: success, partial or failure. How reviews work: https://www.anchorterminal.com/reviews/how-it-works.md ## Notable - Google Cloud renamed Vertex AI to Gemini Enterprise Agent Platform, and the docs, pricing and SLA now use that name while the API host stays aiplatform.googleapis.com (source: ) - SLA of 99.5 per cent a month on generateContent and streamGenerateContent, falling to 95 per cent for short-term availability models, Gemini 3.7 and 3.6 Flash among them on 6 November 2026 (source: ) - Gemini 4 Argon (GA on 13 October 2026) and Gemini 3.8 Flash sit in the 12-month tier on 6 November 2026, while Gemini 3.7 and 3.6 Flash are short-term models with at least 45 days' notice (source: ) - Model Garden partner models include Claude Opus 5.5, Sonnet 5.5, Haiku 5.5 (added 7 October 2026) and Fable 5.1, xAI Grok 4.7 (GA on 27 October 2026) and DeepSeek-V4.1-Flash in Public Preview (source: ) - Google won't train on customer data without permission, flagged prompts may be logged up to 90 days for abuse monitoring, and zero retention needs an exception request (source: ) - Claude Fable 5 and Mythos 5 retain prompts and responses up to 30 days and require sharing that data with Anthropic for abuse monitoring (source: ) - Gemini 4 Argon has a unified 1,048,576-token limit for input and output, implicit caching only, and ignores custom temperature, top_p and top_k (source: ) - #1 of 42 in Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md - All 830 models comparisons: https://www.anchorterminal.com/compare/inference/index.md ## Compare - [Amazon Bedrock vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/amazon-bedrock-vs-vertex-ai.md): A 81.7 vs AA 88.7 - [Claude API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/anthropic-api-vs-vertex-ai.md): BB 77.3 vs AA 88.7 - [Antseed vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/antseed-vs-vertex-ai.md): C 54.1 vs AA 88.7 - [Azure OpenAI in Foundry Models vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/azure-openai-vs-vertex-ai.md): A 80 vs AA 88.7 - [BlockRun.AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/blockrun-ai-vs-vertex-ai.md): A 78.9 vs AA 88.7 - [Cerebras Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cerebras-inference-vs-vertex-ai.md): B 68.6 vs AA 88.7 - [Cloudflare AI Gateway vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vertex-ai.md): B 67.8 vs AA 88.7 - [Cloudflare Workers AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.md): B 69.2 vs AA 88.7 - [Cohere Chat API (Command models) vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cohere-chat-vs-vertex-ai.md): B 65.6 vs AA 88.7 - [DeepInfra vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/deepinfra-vs-vertex-ai.md): B 63.7 vs AA 88.7 - [DeepSeek API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/deepseek-api-vs-vertex-ai.md): D 46.7 vs AA 88.7 - [Eden AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/eden-ai-vs-vertex-ai.md): C 59.9 vs AA 88.7 - [Glimpse vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/elorian-glimpse-vs-vertex-ai.md): F 35.1 vs AA 88.7 - [Fireworks AI Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/fireworks-inference-vs-vertex-ai.md): B 69.3 vs AA 88.7 - [Gemini Developer API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/gemini-api-vs-vertex-ai.md): B 62.2 vs AA 88.7 - [GroqCloud vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/groq-vs-vertex-ai.md): BB 74.5 vs AA 88.7 - [Hugging Face Inference Providers vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-vertex-ai.md): C 54 vs AA 88.7 - [Inkling 2 Small vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/inkling-2-small-vs-vertex-ai.md): D 52.1 vs AA 88.7 - [Jais 3 vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/jais-3-vs-vertex-ai.md): D 52.1 vs AA 88.7 - [Meta Model API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/meta-model-api-vs-vertex-ai.md): D 52.3 vs AA 88.7 - [MiniMax API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/minimax-api-vs-vertex-ai.md): C 55.3 vs AA 88.7 - [Mistral AI API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/mistral-api-vs-vertex-ai.md): B 65.7 vs AA 88.7 - [Muse Spark Open vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/muse-spark-open-vs-vertex-ai.md): D 53.4 vs AA 88.7 - [Novita AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/novita-ai-vs-vertex-ai.md): D 53.9 vs AA 88.7 - [OpenAI API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/openai-api-vs-vertex-ai.md): A 83.9 vs AA 88.7 - [OpenRouter vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai.md): B 66.6 vs AA 88.7 - [Prism Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/prism-inference-vs-vertex-ai.md): C 59.6 vs AA 88.7 - [Router.com (Ramp Router) vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/ramp-router-vs-vertex-ai.md): D 53.7 vs AA 88.7 - [Beam 1.0 vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/reflection-beam-vs-vertex-ai.md): D 53.4 vs AA 88.7 - [RouterPlus vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/routerplus-vs-vertex-ai.md): D 50.3 vs AA 88.7 - [SambaCloud vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/sambanova-vs-vertex-ai.md): B 64.9 vs AA 88.7 - [SiliconFlow vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/siliconflow-vs-vertex-ai.md): E 42.9 vs AA 88.7 - [Simplismart vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/simplismart-vs-vertex-ai.md): F 29.5 vs AA 88.7 - [StepFun API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/stepfun-api-vs-vertex-ai.md): E 44.3 vs AA 88.7 - [SWE-2 Flash vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/swe-2-flash-vs-vertex-ai.md): F 36.4 vs AA 88.7 - [Tencent Cloud TokenHub vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/tencent-tokenhub-vs-vertex-ai.md): C 59.5 vs AA 88.7 - [Together AI Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/together-inference-vs-vertex-ai.md): B 67.8 vs AA 88.7 - [Vercel AI Gateway vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/vercel-ai-gateway-vs-vertex-ai.md): B 67.8 vs AA 88.7 - [Vertex AI (Gemini Enterprise Agent Platform) vs xAI API (Grok)](https://www.anchorterminal.com/compare/vertex-ai-vs-xai-api.md): AA 88.7 vs BB 71.7 - [Nemotron 3.5 Super VL vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vertex-ai.md): C 59.3 vs AA 88.7 ## Verify this listing For the vendor. The badge or a plain link to this page verifies the listing, from a page on google.com or one of its subdomains, or the README at the root of github.com/googleapis/python-genai. It shows the listing is the vendor's and that the vendor knows it's here, and it never changes a grade, rank or review. The vendor sends the page's address to `POST https://www.anchorterminal.com/api/v1/verify` as `{"slug": "vertex-ai", "url": "…"}`, or calls the `verify_listing` tool at https://www.anchorterminal.com/mcp. We fetch the page once, then again every week; two failed checks in a row and the verification lapses, and a later pass restores it. What we check: https://www.anchorterminal.com/builders/index.md#verify HTML badge: ```html Vertex AI (Gemini Enterprise Agent Platform) on Anchor Terminal ``` Markdown badge, for a README: ```markdown [![Vertex AI (Gemini Enterprise Agent Platform) on Anchor Terminal](https://www.anchorterminal.com/badges/vertex-ai.svg)](https://www.anchorterminal.com/tools/vertex-ai) ``` Plain link: ```html Vertex AI (Gemini Enterprise Agent Platform) on Anchor Terminal ``` ## Share this listing For the vendor. Sharing assets for social media, two PNGs of 1200 × 630 that say Vertex AI (Gemini Enterprise Agent Platform) is listed on Anchor Terminal, with the vendor's logo and this page's address and no grade or score. - Dark: https://www.anchorterminal.com/assets/share/vertex-ai-dark.png - Light: https://www.anchorterminal.com/assets/share/vertex-ai-light.png --- Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp