# Antseed vs Azure OpenAI in Foundry Models (slim)

> Azure OpenAI in Foundry Models scores 80 (A) to Antseed's 54.1 (C) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/antseed-vs-azure-openai.md (~7,350 tokens) · this version ~3,730 tokens · JSON https://www.anchorterminal.com/compare/antseed-vs-azure-openai.json · canonical https://www.anchorterminal.com/compare/antseed-vs-azure-openai
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Azure OpenAI in Foundry Models scores 80 (A) on agent readiness against Antseed's 54.1 (C), and leads in 6 of 7 scored categories. Antseed leads on payments & pricing. Both do llm inference.

- Antseed: C 54.1, rank #915 of 1486 · https://www.anchorterminal.com/tools/antseed.min.md
- Azure OpenAI in Foundry Models: A 80, rank #14 of 1486 · https://www.anchorterminal.com/tools/azure-openai.min.md
- Antseed, good for Agents and coding tools that want pay-per-request inference with no account, and owners comfortable holding USDC on Base. Ahead on Payments & pricing, 70 against 20. Also No key needed to call it; Free to start without a card; Open source.
- Azure OpenAI in Foundry Models, good for Teams on Azure that need OpenAI models with Entra ID, private networking, EU or US data zones or FedRAMP scope, and one resource that also serves DeepSeek, Llama, Mistral and Grok models. Ahead on Reliability, 80 against 52; Schema & documentation, 87 against 55; Agent ergonomics, 98 against 56; Security & auth, 95 against 45; Maintenance & community, 86 against 79; Transparency & trust, 83 against 59. Also Agent-ready, a grade of BB or better; A hosted endpoint, with nothing to install; No incidents deducted, where Antseed loses 3 points for them.

| Category | Antseed | Azure OpenAI in Foundry Models |
| --- | --- | --- |
| Reliability (16%) | 52 | 80 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 55 | 87 |
| Agent ergonomics (13%) | 56 | 98 |
| Security & auth (14%) | 45 | 95 |
| Payments & pricing (10%) | 70 | 20 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 79 | 86 |
| Transparency & trust (7%) | 59 | 83 |

| Fact (where they differ) | Antseed | Azure OpenAI in Foundry Models |
| --- | --- | --- |
| Kind | Model router | Model API |
| Vendor | Antseed Foundation | Microsoft |
| Hosted endpoint | no (local only) | `https://<resource>.openai.azure.com/openai/v1` |
| Auth | None | OAuth or key |
| Licence | GPL-3.0 (LICENSE in the repository). The @antseed/cli manifest on npm carries no licence field | Proprietary service under the Microsoft Product Terms. The v1 OpenAPI spec is MIT, and the OpenAI SDKs the docs use are Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2026-10-31 | 2026-10-26 |
| Terms last updated | 2026-05-15 | no date given |
| Privacy policy last updated | no document linked | 2026-09-01 |
| Customer content may train models | not found in the text | yes |
| Terms restrict automated access | not found in the text | yes |
| Terms restrict benchmarking | not found in the text | yes |
| Popularity | 106 stars, 1.8k npm/wk | 454k npm/wk |

Why the edge:
- Security & auth, Azure OpenAI in Foundry Models +50: Antseed 45 (Model reading. The local proxy has no key and binds to 127.0.0.1. One secp256k1 key is identity and wallet, stored in plain text by the CLI unless supplied by environment variable, and encrypted by the OS keychain in the desktop app. Spending is bounded by a deposit contract, a capped ReserveAuth per seller and an optional separate withdrawal wallet, and gateway keys are hashed, revocable and spend-limited (18 of 30). Sellers are independent, and the FAQ says a standard seller can read prompts and sets its own practices (5 of 20). No central log, and an optional TEE-verified route with attestation checked on the buyer's machine (8 of 15). Seller, token and cost headers per response, `antseed buyer metering` and a Prometheus exporter (12 of 15). The buyer proxy stopped forwarding client credentials to sellers in v0.2.58 (12 October 2026). No SECURITY.md in the 4 November clone; no security.txt, published advisory, bug bounty, certification or contract audit report found. The repository holds one automated review of the buyer proxy dated 8 March 2026 (2 of 20). Docs per the 8 October check, not re-read on 4 November, because the terms of 9 October 2026 bar scripts that scrape or mine data from the Offerings, which include the documentation.); Azure OpenAI in Foundry Models 95 (Model reading. Microsoft Entra ID tokens with Azure roles (the Cognitive Services OpenAI User role for calls), managed identities, and key authentication that can be disabled per resource, or two regenerable resource keys in the `api-key` header. No documented route puts the key in a URL query string (30). Prompts, completions, embeddings and training data aren't used to train foundation models without the customer's permission or instruction, per the data privacy page updated 4 August 2026 (20). Flagged prompts and completions may be stored in the customer's geography for human abuse review, with no retention period stated, and approved customers can turn that storage off through modified abuse monitoring. Responses API data is kept 30 days by default unless `store` is false (12 of 15). Azure Monitor resource logs and the subscription activity log, as read in the Foundry fine-tuning dossier (15). MSRC coordinated disclosure policy and Microsoft's bounty programme, both named in microsoft.com's security.txt, and Azure OpenAI is listed in FedRAMP High and DoD IL2 scope in Azure public regions. The security.txt passed its Expires date on 2026-09-23 and was still expired on 6 November, which the Bedrock and S3 dossiers mark down by 2, applied here too (18 of 20, down from 20 on 6 October for consistency).)
- Payments & pricing, Antseed +50: Antseed 70 (x402 v2 exists only on `POST /v1/key/topup` of a gateway the owner runs, and is off until enabled per key. Inference is paid through Antseed's own HTTP 402 flow with EIP-712 signatures and USDC channels on Base, which isn't one of the three protocols the rubric names (10 of 40, a judgement call). PRICING.md in the repository says seller prices per 1M tokens are published without authentication at a cached endpoint and live through `antseed network browse --json` (20); the 8 October snapshot figures came from that JSON endpoint and are struck. Free models answer with no card and no account, per the docs on 8 October (20). An agent can install the CLI, get a key generated locally and fund it by a USDC transfer, with no sign-up flow (20). The self-hosted rule gives the same three lines for the free software.); Azure OpenAI in Foundry Models 20 (No x402, MPP or L402 (0). Per-1M-token prices are public in the Azure Retail Prices API without a login, while the pricing page fills its table with JavaScript and showed GPT-6 prices as pending on 6 October (20). The quota tiers include a Free tier, but an Azure subscription needs a payment method (0). A person signs up for Azure in a browser and creates a resource and a deployment before the first call (0).)
- Agent ergonomics, Azure OpenAI in Foundry Models +42: Antseed 56 (Model reading, as for other routers. Tool use and structured output depend on the seller, and the model list reports both per seller with conservative model-level values (12 of 20 and 8 of 15). Cached-input pricing is advertised per seller where supported (8 of 15). Context length is reported per model as the lowest value across sellers (10 of 15). No batch route found (0 of 10). No SDK of its own for buyers. OpenAI and Anthropic SDKs work against the proxy, and wrappers launch Claude Code, Codex and OpenCode (5 of 10). Documented error codes with fixes, and cost and seller headers on non-streaming responses (13 of 15). Docs per the 8 October check, not re-read on 4 November, because the terms of 9 October 2026 bar scripts that scrape or mine data from the Offerings, which include the documentation.); Azure OpenAI in Foundry Models 98 (Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool use with parallel calls and a forced call by naming the function in `tool_choice`, 18 of 20 because `gpt-6.1-sol` calls tools only through the Responses API (18). Strict structured outputs (15). Prompt caching from 1,024 tokens, cached input at 0.1x on GPT-6 ($1 per million on Astra) and cache writes at 1.25x from GPT-5.6 on, with explicit breakpoints (15). 1,050,000-token context on GPT-6 and GPT-6.1, input capped at 922,000 (15). Batch at 50% off Global Standard with a 24-hour target (10). The docs use OpenAI's own SDKs for Python, JavaScript, C#, Go and Java against the v1 endpoint (10). 429 and quota errors documented with retry headers (15). Calls name a deployment rather than a model, so each model must be deployed in the resource first, which the model checklist doesn't score.)
- Schema & documentation, Azure OpenAI in Foundry Models +32: Antseed 55 (No OpenAPI document found in the repository or docs. The proxy copies the OpenAI and Anthropic wire formats (0 of 25). llms.txt at antseed.com/llms.txt and a setup skill at /skill.md (10). The API guide states what each route is for, how routing picks a seller and when to pin one (14 of 20). Request bodies follow the upstream formats, and `/v1/models` reports context length, modalities, tool use and supported parameters per seller (8 of 15). Curl examples for each format and an error table with status, code, meaning and fix (13 of 15). A public changelog and tagged releases, with recent entries under an undated Unreleased heading (10 of 15). Docs per the 8 October check, not re-read on 4 November, because the terms of 9 October 2026 bar scripts that scrape or mine data from the Offerings, which include the documentation.); Azure OpenAI in Foundry Models 87 (OpenAPI 3.2 spec for the v1 data plane in Azure/azure-rest-api-specs (`azure-v1-v1-generated.json`, 71 paths and 852 schemas), linked from the v1 API page (25). No llms.txt at learn.microsoft.com (404). Learn pages offer Copy Markdown and the Markdown sources are public in MicrosoftDocs/azure-ai-docs, last merged 5 October (5 of 10). The models page lists each model's capabilities, context and API support, but the model choice guide, dated 19 May 2026, doesn't cover GPT-6 (15 of 20). Structured outputs with `strict: true` on schemas and function tools, though not together with parallel function calls (15). Examples in Python, C#, JavaScript, Go, Java and REST, and an error table on the quotas page with a fix for 429 and other codes (15). The v1 path replaces monthly `api-version` values, with preview capabilities opted into by header, a dated API version changelog and dated model versions. On 6 November the Foundry what's new still covered August, though updated on 5 November, and no Azure OpenAI what's new was found at learn.microsoft.com/en-us/azure/foundry/openai/whats-new, which answered 404 (12 of 15).)
- Reliability, Azure OpenAI in Foundry Models +28: Antseed 52 (Read with the local-software lines, since the buyer runs the proxy. Official npm package @antseed/cli with Node.js 20 or later stated, plus desktop installers (20). Public CI on main runs the unit tests, an end-to-end suite and a payment flow (ci.yml in the clone), but the run results on GitHub couldn't be read on 4 November, so 15 of 25. Open issues and pull requests per the 8 October count (74 and 32), with bug reports from late September open then and reply times not sampled (12 of 25). CHANGELOG.md calls out breaking CLI changes, but versions are 0.x patch bumps and recent entries sit under one Unreleased heading (5 of 15). Release tag v0.2.72 and CLI 0.1.220 at that tag, with no statement of stability (0). Whether a request is answered also depends on which sellers are online, which this checklist doesn't score.); Azure OpenAI in Foundry Models 80 (Azure status page with post-incident reviews, listing Azure OpenAI Service, Foundry Models and Foundry Agent Service as components (20). One incident in the 90 days to 6 November 2026 names Azure OpenAI, and no review after it does, intermittent request failures, higher latency and HTTP 5xx errors in Sweden Central from 10:03 to 15:58 UTC on 29 September 2026 (tracking 7QL5-Z50), counted as one major outage as in the Foundry fine-tuning dossier. The 23 July West US review and the 30 September gateway incident don't name it (10). Quota tiers from Free to Tier 6 with TPM and RPM per model and deployment type, 1,000 RPM and 1,000,000 TPM for each GPT-6 model on Global Standard at Tier 1 (15). 429 responses carry `retry-after-ms`, every response carries `x-ratelimit-*` headers, and the quota guide gives exponential backoff with jitter and SDK retry settings (15). The models page says models sold by Azure are covered by Azure service-level agreements and links the Online Services SLA. The consolidated SLA document wouldn't download on 6 October and wasn't retried on 6 November, so the clause rests on Microsoft's docs, read the same way as the 5 October Azure Speech check (10). The v1 API is GA and the GPT-6 models carry no preview label (10).)
- Transparency & trust, Azure OpenAI in Foundry Models +24: Antseed 59 (GPL-3.0 source for the protocol, CLI, desktop app and contracts (30). The terms (last updated 9 October 2026), FAQ and privacy page agree that there is no central request log and that sellers may log prompts. There is no privacy policy document, and docs/telemetry.md says the PostHog region and retention period are still to be documented (12 of 30). No deprecation policy found. The changelog gives version cut-offs for protocol changes and a dated cutover of 10 September 2026 for staking contracts (8 of 20). Desktop telemetry is documented event by event with a toggle and an environment switch, and is keyed to the buyer's public wallet address. No telemetry code found in the CLI (16 of 20). docs/telemetry.md is unchanged since 15 September 2026 in the 4 November clone.); Azure OpenAI in Foundry Models 83 (Closed service under the Microsoft Product Terms, with the v1 spec under MIT and the OpenAI SDKs under Apache-2.0 (15). The data privacy page agrees with the product terms on no training and states where data is processed and stored by deployment type, but gives no retention period for the human-review store and sits beside a 30-day default for Responses data (24 of 30). A published lifecycle policy and a retirement schedule with dates and replacements, but on 6 November the schedule listed `gpt-realtime-mini` 2025-10-06 and 2025-12-15 twice each with different retirement dates, and no GPT-6 model yet (18 of 20, down from 20). Data locations stated for Standard, Data Zone and Global deployments, and a public sub-processor list per the 5 October Azure Speech check, not re-read (20).)