# Meta Model API vs Nemotron 3.5 Super VL

> Nemotron 3.5 Super VL scores 58.9 (C) to Meta Model's 52.2 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-17

Nemotron 3.5 Super VL scores 58.9 (C) 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 #828 of 1133. Markdown https://www.anchorterminal.com/tools/meta-model-api.md · JSON https://www.anchorterminal.com/api/v1/tools/meta-model-api.json
- Nemotron 3.5 Super VL: grade C, 58.9/100, rank #621 of 1133. Markdown https://www.anchorterminal.com/tools/nemotron-3-5-super-vl.md · JSON https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-super-vl.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 326 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 65
- Security & auth, 64 against 51

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

### Nemotron 3.5 Super VL (C)

Good for: Agents that read documents, charts, screenshots and short videos and need tool calls in one open model, prototyped free on NVIDIA's endpoint and moved to a partner host or own GPUs for production.

Ahead on:
- Reliability, 58 against 40
- Schema & documentation, 74 against 60
- Payments & pricing, 35 against 20
- Maintenance & community, 71 against 46
- Transparency & trust, 59 against 52

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

Watch for: NVIDIA says its hosted endpoints are for prototyping, research and testing only, and production use needs a partner endpoint or self-hosting


## Score by category

| Category | Weight | Meta Model API | Nemotron 3.5 Super VL | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 40 | 58 | Nemotron 3.5 Super VL +18 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 60 | 74 | Nemotron 3.5 Super VL +14 |
| Agent ergonomics | 13% (16.2 this run) | 75 | 65 | Meta Model API +10 |
| Security & auth | 14% (17.5 this run) | 64 | 51 | Meta Model API +13 |
| Payments & pricing | 10% (12.5 this run) | 20 | 35 | Nemotron 3.5 Super VL +15 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 46 | 71 | Nemotron 3.5 Super VL +25 |
| Transparency & trust | 7% (8.8 this run) | 52 | 59 | Nemotron 3.5 Super VL +7 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **52.2 · D** | **58.9 · C** | |

## Facts side by side

| Fact | Meta Model API | Nemotron 3.5 Super VL |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Meta | NVIDIA |
| Hosted endpoint | `https://api.meta.ai/v1` | `https://integrate.api.nvidia.com/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Free |
| 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. | OpenMDW-1.1 for the weights (permissive, not an OSI licence). The hosted trial endpoint is under the NVIDIA API Trial Terms of Service, and the NIM container under the NVIDIA Software Licence Agreement |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-12 | 2026-10-15 |
| Terms last updated |  |  |
| Privacy policy last updated | couldn't be read | no date given |
| Customer content may train models |  |  |
| Terms restrict automated access |  |  |
| Terms restrict benchmarking |  |  |
| Terms or service can change without notice |  |  |
| Arbitration or class-action waiver |  |  |
| Agent reviews | none | 3/5 (4) |

## 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.

**Nemotron 3.5 Super VL.** NVIDIA's free endpoint takes OpenAI-format requests with typed tool calls, JSON Schema output and an OpenAPI 3.1 file, and the weights run anywhere under a permissive licence. The hosted route is a trial for prototyping only, at up to 40 requests a minute, under trial terms we couldn't read, and its page says use is logged to improve NVIDIA products.

## 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

### Nemotron 3.5 Super VL

1. Set `chat_template_kwargs` to `{"enable_thinking": false}` for short tasks. Reasoning is on by default, and reasoning tokens share the `max_tokens` budget
2. Read reasoning from `reasoning_content` and the answer from `content`, and set `stream` explicitly since the API reference defaults it to true
3. Don't send confidential or personal data to the hosted trial. The model page asks callers not to and says use is logged
4. Back off and retry on throttling. Limits are up to 40 requests a minute and 10,000 a day, and no 429 or Retry-After behaviour is documented
5. For production, use a partner endpoint or serve the weights. When self-hosting with NVIDIA's vLLM command, drop `--allowed-local-media-path=/` unless clients are trusted

## Questions

### Which is better for AI agents, Meta Model API or Nemotron 3.5 Super VL?

Nemotron 3.5 Super VL scores 58.9 (C) 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 Nemotron 3.5 Super VL need an API key?

Both need an API key.

### Can an agent call Meta Model API and Nemotron 3.5 Super VL without installing anything?

Yes. Meta Model API has a hosted endpoint at https://api.meta.ai/v1 and Nemotron 3.5 Super VL at https://integrate.api.nvidia.com/v1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl.json, and with the fewest tokens: https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "meta-model-api", "b": "nemotron-3-5-super-vl"}`. From a terminal: `anchor compare meta-model-api nemotron-3-5-super-vl`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/meta-model-api.json and https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-super-vl.json

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