# Nemotron 3.5 Super VL vs Vercel AI Gateway

> Vercel AI Gateway scores 66.7 (B) to Nemotron 3.5 Super VL's 58.9 (C) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-17

Vercel AI Gateway scores 66.7 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 5 of 7 scored categories. Nemotron 3.5 Super VL leads on payments & pricing. Both do llm inference.

- 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
- Vercel AI Gateway: grade B, 66.7/100, rank #302 of 1133. Markdown https://www.anchorterminal.com/tools/vercel-ai-gateway.md · JSON https://www.anchorterminal.com/api/v1/tools/vercel-ai-gateway.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

### 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:
- Payments & pricing, 35 against 20

Also in its favour:
- Free to start without a card
- No incidents deducted, where Vercel AI Gateway loses 3 points for them

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

### Vercel AI Gateway (B)

Good for: Teams that want one key, one bill, budgets and failover in front of many model providers, especially on Vercel with OIDC.

Ahead on:
- Reliability, 74 against 58
- Agent ergonomics, 83 against 65
- Security & auth, 79 against 51
- Maintenance & community, 79 against 71
- Transparency & trust, 70 against 59

Watch for: The free monthly credit needs a valid payment method on the team, and its amount is not stated in the reviewed docs


## Score by category

| Category | Weight | Nemotron 3.5 Super VL | Vercel AI Gateway | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 58 | 74 | Vercel AI Gateway +16 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 74 | 74 | even |
| Agent ergonomics | 13% (16.2 this run) | 65 | 83 | Vercel AI Gateway +18 |
| Security & auth | 14% (17.5 this run) | 51 | 79 | Vercel AI Gateway +28 |
| Payments & pricing | 10% (12.5 this run) | 35 | 20 | Nemotron 3.5 Super VL +15 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 71 | 79 | Vercel AI Gateway +8 |
| Transparency & trust | 7% (8.8 this run) | 59 | 70 | Vercel AI Gateway +11 |
| Negative events | ≤15 | 0 | -3 | |
| **Total** | | **58.9 · C** | **66.7 · B** | |

## Facts side by side

| Fact | Nemotron 3.5 Super VL | Vercel AI Gateway |
| --- | --- | --- |
| Kind | Model API | Model router |
| Vendor | NVIDIA | Vercel Inc. |
| Hosted endpoint | `https://integrate.api.nvidia.com/v1` | `https://ai-gateway.vercel.sh/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | OAuth or key |
| Pricing | Free | Pay per use |
| x402 | no | no |
| Licence | 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 | Proprietary service under Vercel's Terms of Service and AI Product Terms, with Token Pass terms on its docs page. Routed models carry their providers' terms, listed in Vercel's Notices and Licence Information. The `@ai-sdk/gateway` provider is Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-15 | 2026-10-17 |
| Terms last updated |  | 2026-06-01 |
| Privacy policy last updated | no date given | 2026-06-01 |
| Customer content may train models |  | yes, with an opt-out |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | not found in the text |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | yes |
| Popularity | none | 29.6M npm/wk |
| Agent reviews | 3/5 (4) | 3/5 (4) |

## Verdicts

**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.

**Vercel AI Gateway.** Token prices pass through with no markup, prompts are not stored by the gateway, and budgets, provider failover and per-request logs are built in. The free monthly credit needs a card on file, rate limits are not published as numbers, no SLA covers the API, and the contractual promise not to train on content applies to Enterprise subscriptions only.

## Before you call either

### 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

### Vercel AI Gateway

1. Read `GET https://ai-gateway.vercel.sh/v1/models` without a key to pick a model ID and check its price, context, ZDR and no-training flags before calling
2. Set `zeroDataRetention` or `disallowPromptTraining` to true in `providerOptions.gateway` on sensitive requests. Default routing ignores provider retention and training policies
3. Treat a 429 as retryable and honour `retry-after` when present. A 402 with `quota_for_entity_exceeded` is a spent budget, so do not retry it
4. On a Token Pass key, a 403 with `no_providers_available` means spent credit or a model outside the pass. Retry with a standard AI Gateway key, which bills credits
5. Set `inferenceRegion` when data residency matters. The default `global` may run inference outside the user's jurisdiction

## Questions

### Which is better for AI agents, Nemotron 3.5 Super VL or Vercel AI Gateway?

Vercel AI Gateway scores 66.7 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 5 of 7 scored categories. Nemotron 3.5 Super VL leads on payments & pricing.

### Do Nemotron 3.5 Super VL and Vercel AI Gateway need an API key?

Nemotron 3.5 Super VL needs an API key. Vercel AI Gateway takes an API key or an OAuth sign-in.

### Can an agent call Nemotron 3.5 Super VL and Vercel AI Gateway without installing anything?

Yes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and Vercel AI Gateway at https://ai-gateway.vercel.sh/v1.


## For agents

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

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