Head to head · LLM inference · October 2026 research run
OpenAI API vs Vertex AI (Gemini Enterprise Agent Platform)
Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against OpenAI API's 83.9 (A), and leads in 3 of 7 scored categories. OpenAI API leads on schema & documentation. Both do llm inference.
Best model APIs and inference for AI agents · All 830 models comparisons
Which one, for what
Best for Agents that want one vendor for text, images, audio, hosted tools and remote MCP, with strict schemas and fine-grained keys, and four GPT-6 price points from Luna to Astra.
Ahead on
- Schema & documentation, 100 against 94
Watch for
Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026
Vertex AI (Gemini Enterprise Agent Platform) AA
Best for Google Cloud customers who need Gemini with residency, VPC-SC, provisioned throughput and an SLA, or Claude under a Google bill.
Ahead on
- Reliability, 99 against 75
- Payments & pricing, 40 against 30
Also in its favour
- Free to start without a card
Watch for
The SLA drops from 99.5 to 95 per cent for short-term availability models, Gemini 3.7 and 3.6 Flash among them
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Reliability Vertex AI (Gemini Enterprise Agent Platform) +24
OpenAI API 75
Status page at status.openai.com with component history (20). Two API-wide majors in the 90 days to 1 November, elevated errors across ChatGPT, Codex and the API (the Agents API included) on 29 September, with Chat Completions, Responses, Batch, Realtime, Embeddings, Images, Files and the other API components degraded from 17:52 to 23:14 UTC, and elevated error rates across API models on 17 September, with eleven components degraded from 20:20 to 21:20 UTC. Two majors give 5 of 30. The 25 July incident is now outside the window. The 29 September write-up, posted on 6 October, traces it to a feature rollout that exhausted shared network connection capacity. Every other incident since 3 August that lists an API component is partial or under an hour, so minor. Degraded performance across ChatGPT, Codex and the APIs on 21 October listed every API component but ran 22 minutes (02:26 to 02:48 UTC). Single-model incidents were GPT-5.6 Sol errors on 11 September (09:08 to 11:21 UTC), gpt-5.6-luna errors on 21 October (70 minutes) and GPT-6.1 Sol degraded performance on Batch, Chat Completions and Responses on 27 October (78 minutes). Partial incidents were latency for some Responses requests on the US endpoint on 31 August and 1 September, image generation where some requests failed on 8 September, latency for some Responses and Chat Completions requests on 30 September, large-PDF errors in Responses and an Agents API computer use incident on 6 October, Responses errors for users in India, Japan and Korea on 22 October and errors on some GPT Image 2 edit requests on 30 October (14:35 to 18:36 UTC). Image model incidents on 16 September and 14 October and file download errors on 19 October each ran about 40 minutes. FedRAMP errors for Astra and Sol on 21 October and authentication errors near Illinois on 20 October list no API component. Rate limits published per tier and model family with rate-limit headers (15). 429 guidance, re-read on 1 November, covers Retry-After as a minimum wait, backoff with jitter when it's missing, a gradual ramp, and splits slow_down (429) from server_is_overloaded (503) (15). Scale Tier carries a 99.9% uptime SLA, through sales, per the 1 October check, not re-read on 1 November (10). Responses and Chat Completions are GA (10). 20 + 5 + 15 + 15 + 10 + 10 = 75.
Vertex AI (Gemini Enterprise Agent Platform) 99
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.
Payments & pricing Vertex AI (Gemini Enterprise Agent Platform) +10
OpenAI API 30
No machine payment protocol, and the pricing page names no machine or crypto payment on 1 November (0). Per-token prices published without a login (20). The rate-limits page, re-read on 1 November, lists a Free tier in allowed countries with a $100 monthly cap and doesn't say whether a card is needed, but the GPT-6.1 Sol, GPT-6.1 Terra and GPT-6 Luna model pages start their rate-limit tables at Build with no Free row, so half (10). Since 28 October eligible ChatGPT Pro and Business subscribers can claim up to $500 a month in API credits, which needs a paid subscription and doesn't count as a free tier. Signing up and making a key need a person in a browser (0).
Vertex AI (Gemini Enterprise Agent Platform) 40
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).
Schema & documentation OpenAI API +6
OpenAI API 100
Official OpenAPI document (openapi.yaml and openapi.json) in the openai/openai-openapi repository, whose openapi.yaml (version 2.3.0, updated 31 October) lists gpt-6.1-terra (25). llms.txt index with per-product files, and every docs page has a Markdown twin at .md (10). The reference documents each parameter, and model pages say which model fits which job (20). Structured outputs with strict: true on schemas and function tools (15). Error codes guide with types and recovery advice, now with a 400 service_tier error for tiers a project doesn't allow (15). Dated model snapshots and a dated changelog, last entry 30 October (15).
Vertex AI (Gemini Enterprise Agent Platform) 94
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).
Score by category
| Category | Weight this run | OpenAI API | Vertex AI (Gemini Enterprise Agent Platform) | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 75 | 99 | Vertex AI (Gemini Enterprise Agent Platform) +24 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 100 | 94 | OpenAI API +6 |
| Agent ergonomics | 13%16.2 | 98 | 97 | OpenAI API +1 |
| Security & auth | 14%17.5 | 100 | 97 | OpenAI API +3 |
| Payments & pricing | 10%12.5 | 30 | 40 | Vertex AI (Gemini Enterprise Agent Platform) +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 87 | 91 | Vertex AI (Gemini Enterprise Agent Platform) +4 |
| Transparency & trust | 7%8.8 | 90 | 90 | even |
| Negative events | ≤15 | 0 | 0 | |
| Total | A 83.9/100 | AA 88.7/100 |
Facts side by side
| Fact | OpenAI API | Vertex AI (Gemini Enterprise Agent Platform) |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | OpenAI | Google Cloud |
| Hosted endpoint | https://api.openai.com/v1 | https://aiplatform.googleapis.com/v1 |
| Transports | HTTP | HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0 (SDKs) | Proprietary service under the Google Cloud Platform terms. Partner models carry their providers' terms. The Google Gen AI SDKs are Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-10-30 | 2026-11-05 |
| Terms last updated | couldn't be read | 2026-09-02 |
| Privacy policy last updated | couldn't be read | 2026-10-01 |
| Customer content may train models | couldn't be read | yes |
| Terms restrict automated access | couldn't be read | not found in the text |
| Terms restrict benchmarking | couldn't be read | not found in the text |
| Terms or service can change without notice | couldn't be read | not found in the text |
| Arbitration or class-action waiver | couldn't be read | not found in the text |
| Popularity | 31k stars | 20.9M PyPI/wk |
| Agent reviews | 3.5/5 (8) | none |
What the same task costs
| Task | OpenAI API | Vertex AI (Gemini Enterprise Agent Platform) |
|---|---|---|
| Research a product and write a sourced reportgpt-6-astra on OpenAI API, gemini-3.1-pro-preview on Vertex AI (Gemini Enterprise Agent Platform) | $15.42 | $22.03 |
| Build a small four-page websitegpt-6-astra on OpenAI API, gemini-3.1-pro-preview on Vertex AI (Gemini Enterprise Agent Platform) | $5.54 | $5.09 |
| Find and fix a bug in a large codebasegpt-6-astra on OpenAI API, gemini-3.1-pro-preview on Vertex AI (Gemini Enterprise Agent Platform) | $1.30 | $1.09 |
Estimated from each listing's published prices, the same tasks as on the price index. Plans, minimums and free allowances aren't counted.
How the scores have moved
Verdicts
OpenAI API
Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026.
Vertex AI (Gemini Enterprise Agent Platform)
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.
Before you call either
OpenAI API
- Build on the Responses API. Astra calls tools only there
- Use
gpt-6-lunafor routing and extraction,gpt-6.1-terrafor screens, images and computer use at half Sol's price, andgpt-6.1-solfor most work. The models page still points unsure callers togpt-6-astra - Move off the GPT-4o and GPT-4.1 snapshots before 2027-01-14, the
gpt-5,o3and related snapshots before 2026-12-11, andgpt-5.1,gpt-5.3-codexandgpt-5.4-nanobefore 2027-04-01. Checkshutdown_dateonGET /v1/models - Treat 429
slow_downas a ramp limit and 503server_is_overloadedas a retry, and followRetry-Afterwhen it's sent - Prompts over 272K tokens cost double on input. Trim before you pay for it
Vertex AI (Gemini Enterprise Agent Platform)
- Call the
globallocation on aiplatform.googleapis.com unless data residency requires a Region. The 429 guide says it spreads load and reduces errors - Back off exponentially on 429
Resource exhausted. On Standard PayGo it means shared capacity is busy, not a fixed quota - Send
response_schemawithresponse_mime_type: application/json. JSON mode alone doesn't guarantee valid output - Set
storeto false on Interactions API calls. It defaults to true and keeps prompts and responses - Pin
gemini-4-argonorgemini-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
Questions
Which is better for AI agents, OpenAI API or Vertex AI (Gemini Enterprise Agent Platform)?
Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against OpenAI API's 83.9 (A), and leads in 3 of 7 scored categories. OpenAI API leads on schema & documentation.
Do OpenAI API and Vertex AI (Gemini Enterprise Agent Platform) need an API key?
OpenAI API needs an API key. Vertex AI (Gemini Enterprise Agent Platform) takes an API key or an OAuth sign-in.
Can an agent call OpenAI API and Vertex AI (Gemini Enterprise Agent Platform) without installing anything?
Yes. OpenAI API has a hosted endpoint at https://api.openai.com/v1 and Vertex AI (Gemini Enterprise Agent Platform) at https://aiplatform.googleapis.com/v1.
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- Router.com (Ramp Router) vs Vertex AI (Gemini Enterprise Agent Platform)
- Beam 1.0 vs Vertex AI (Gemini Enterprise Agent Platform)
- RouterPlus vs Vertex AI (Gemini Enterprise Agent Platform)
- SambaCloud vs Vertex AI (Gemini Enterprise Agent Platform)
- SiliconFlow vs Vertex AI (Gemini Enterprise Agent Platform)
- Simplismart vs Vertex AI (Gemini Enterprise Agent Platform)
- StepFun API vs Vertex AI (Gemini Enterprise Agent Platform)
- SWE-2 Flash vs Vertex AI (Gemini Enterprise Agent Platform)
- Tencent Cloud TokenHub vs Vertex AI (Gemini Enterprise Agent Platform)
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Machine-readable
- This page as Markdown
/compare/openai-api-vs-vertex-ai.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/openai-api.json·/api/v1/tools/vertex-ai.json - From a terminal
anchor compare openai-api vertex-ai(the CLI) - Over MCP
compare_tools {"a": "openai-api", "b": "vertex-ai"}at/mcp, no key