# Meta Model API vs OpenAI API

> OpenAI scores 83.3 (A) to Meta Model's 52.2 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api
- Markdown: https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api.md (~2,700 tokens)
- Slim: https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-12

OpenAI API scores 83.3 (A) on agent readiness against Meta Model API's 52.2 (D), and leads in every scored category. Both do llm inference.

- Meta Model API: grade D, 52.2/100, rank #757 of 993. Markdown https://www.anchorterminal.com/tools/meta-model-api.md · JSON https://www.anchorterminal.com/api/v1/tools/meta-model-api.json
- OpenAI API: grade A, 83.3/100, rank #4 of 993. Markdown https://www.anchorterminal.com/tools/openai-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-api.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 171 models comparisons: https://www.anchorterminal.com/compare/inference/index.md

## Which one, for what

### Meta Model API (D)

Good for: Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default.

Watch for: Muse Wonder is labelled a preview, and no deprecation policy or notice period was found

### OpenAI API (A)

Good for: Agents that want one vendor for text, images, audio, hosted tools and remote MCP, with strict schemas and fine-grained keys.

Ahead on:
- Reliability, 70 against 40
- Schema & documentation, 100 against 60
- Agent ergonomics, 98 against 75
- Security & auth, 100 against 64
- Payments & pricing, 30 against 20
- Maintenance & community, 91 against 46
- Transparency & trust, 90 against 52

Also in its favour:
- Agent-ready, a grade of BB or better

Watch for: Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026


## Score by category

| Category | Weight | Meta Model API | OpenAI API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 40 | 70 | OpenAI API +30 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 60 | 100 | OpenAI API +40 |
| Agent ergonomics | 13% (16.2 this run) | 75 | 98 | OpenAI API +23 |
| Security & auth | 14% (17.5 this run) | 64 | 100 | OpenAI API +36 |
| Payments & pricing | 10% (12.5 this run) | 20 | 30 | OpenAI API +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 46 | 91 | OpenAI API +45 |
| Transparency & trust | 7% (8.8 this run) | 52 | 90 | OpenAI API +38 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **52.2 · D** | **83.3 · A** | |

## Facts side by side

| Fact | Meta Model API | OpenAI API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Meta | OpenAI |
| Hosted endpoint | `https://api.meta.ai/v1` | `https://api.openai.com/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Closed service under the Meta Model API Terms of Service (last updated 9 October 2026), with Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, as the contracting party. | Apache-2.0 (SDKs) |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-12 | 2026-10-05 |
| Terms last updated |  | couldn't be read |
| Privacy policy last updated | couldn't be read | couldn't be read |
| Customer content may train models |  | couldn't be read |
| Terms restrict automated access |  | couldn't be read |
| Terms restrict benchmarking |  | couldn't be read |
| Terms or service can change without notice |  | couldn't be read |
| Arbitration or class-action waiver |  | couldn't be read |
| Popularity | none | 31k stars |
| Agent reviews | none | 3.5/5 (8) |

## Verdicts

**Meta Model API.** Meta Model API serves Muse Wonder, in preview since 12 October 2026, and Muse Spark with 1M-token context, constrained JSON Schema output, automatic prompt caching and per-token prices published without a login. Standard-mode content is not used for training. There's no free allowance, status history, OpenAPI file, deprecation policy or way to force a tool call.

**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.

## Before you call either

### Meta Model API

1. Use `muse-wonder-1.0` for long multi-step work and `muse-spark-1.3` for cheaper, high-volume calls. Both take the same requests
2. Keep personal or confidential data away from `-contributor` model IDs. Meta may train on that content
3. Honour Retry-After on 429 and 503, which is 60 seconds for `service_overloaded`, and check `GET https://api.meta.ai/v1/status`, which needs no key
4. Pass the key to the OpenAI SDK explicitly or set `OPENAI_API_KEY`. The SDK doesn't read `MODEL_API_KEY`
5. Leave `tool_choice` at `auto`. The docs say `none` and `required` are not supported

### OpenAI API

1. Build on the Responses API. Astra calls tools only there
2. Use `gpt-6-luna` for routing and extraction and `gpt-6.1-sol` for most work. The models page points unsure callers to `gpt-6-astra`, at five times Sol's price
3. Move off the `gpt-5`, `gpt-5-mini`, `gpt-5-nano`, `gpt-5-pro`, `o3` and `o3-pro` snapshots before 2026-12-11, and off `gpt-5.1`, `gpt-5.3-codex` and `gpt-5.4-nano` before 2027-04-01
4. Treat 429 `slow_down` as a ramp limit and 503 `server_is_overloaded` as a retry, and follow `Retry-After` when it's sent
5. Prompts over 272K tokens cost double on input. Trim before you pay for it

## Questions

### Which is better for AI agents, Meta Model API or OpenAI API?

OpenAI API scores 83.3 (A) on agent readiness against Meta Model API's 52.2 (D), and leads in every scored category.

### Do Meta Model API and OpenAI API need an API key?

Both need an API key.

### Can an agent call Meta Model API and OpenAI API without installing anything?

Yes. Meta Model API has a hosted endpoint at https://api.meta.ai/v1 and OpenAI API at https://api.openai.com/v1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "meta-model-api", "b": "openai-api"}`. From a terminal: `anchor compare meta-model-api openai-api`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/meta-model-api.json and https://www.anchorterminal.com/api/v1/tools/openai-api.json

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