# Meta Model API vs SambaCloud

> SambaCloud scores 66.4 (B) 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-sambanova
- Markdown: https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova.md (~2,800 tokens)
- Slim: https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova.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

SambaCloud scores 66.4 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories. Meta Model API leads on agent ergonomics and security & auth. 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
- SambaCloud: grade B, 66.4/100, rank #302 of 993. Markdown https://www.anchorterminal.com/tools/sambanova.md · JSON https://www.anchorterminal.com/api/v1/tools/sambanova.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.

Ahead on:
- Agent ergonomics, 75 against 67
- Security & auth, 64 against 58

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

### SambaCloud (B)

Good for: Agents that want open-weight models behind an OpenAI or Anthropic client with a free start and prices an agent can read from the API.

Ahead on:
- Reliability, 85 against 40
- Schema & documentation, 81 against 60
- Payments & pricing, 40 against 20
- Maintenance & community, 77 against 46
- Transparency & trust, 63 against 52

Also in its favour:
- Free to start without a card

Watch for: Production models get a notice of two to three weeks, and 13 model ids were removed between 9 March and 9 June 2026


## Score by category

| Category | Weight | Meta Model API | SambaCloud | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 40 | 85 | SambaCloud +45 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 60 | 81 | SambaCloud +21 |
| Agent ergonomics | 13% (16.2 this run) | 75 | 67 | Meta Model API +8 |
| Security & auth | 14% (17.5 this run) | 64 | 58 | Meta Model API +6 |
| Payments & pricing | 10% (12.5 this run) | 20 | 40 | SambaCloud +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 46 | 77 | SambaCloud +31 |
| Transparency & trust | 7% (8.8 this run) | 52 | 63 | SambaCloud +11 |
| Negative events | ≤15 | 0 | -2 | |
| **Total** | | **52.2 · D** | **66.4 · B** | |

## Facts side by side

| Fact | Meta Model API | SambaCloud |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Meta | SambaNova Systems, Inc. |
| Hosted endpoint | `https://api.meta.ai/v1` | `https://api.sambanova.ai/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| 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. | Proprietary service under the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-12 | 2026-09-17 |
| Terms last updated |  | no date given |
| Privacy policy last updated | couldn't be read | 2023-05-27 |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | yes |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | not found in the text |
| Popularity | none | 2 stars, 76 npm/wk, 6.1k PyPI/wk |

## 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.

**SambaCloud.** Per-token prices and the model list are readable without a key at `/v1/models`, and a free tier needs no card. Production models get two to three weeks' notice before removal, 13 model ids left between March and June 2026, and the docs disagree with the live catalogue on MiniMax-M2.7.

## 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

### SambaCloud

1. Call `GET https://api.sambanova.ai/v1/models` at start-up and use only ids it returns. The docs name models the endpoint no longer lists
2. Read `x-ratelimit-remaining-requests` and `x-ratelimit-remaining-requests-day` on every response. The free tier allows 20 requests a day per model
3. Treat 429 `queue_full` and 503 `maintenance` as retryable after a delay, and 410 `model_deprecated` as a signal to change model
4. Validate JSON output yourself. Schema enforcement is best effort and `strict: true` changes nothing
5. Check `max_completion_tokens` per model. DeepSeek-V3.1 caps output at 7,168 tokens and Llama 3.3 70B at 3,072

## Questions

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

SambaCloud scores 66.4 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories. Meta Model API leads on agent ergonomics and security & auth.

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

Both need an API key.

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

Yes. Meta Model API has a hosted endpoint at https://api.meta.ai/v1 and SambaCloud at https://api.sambanova.ai/v1.


## For agents

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

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