# Nemotron 3.5 Super VL vs Prism Inference

> Prism Inference scores 60.1 (C) to Nemotron 3.5 Super VL's 58.9 (C) for open-weight models. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-17

Prism Inference scores 60.1 (C) 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 and maintenance & community. Both do open-weight models.

- 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
- Prism Inference: grade C, 60.1/100, rank #581 of 1133. Markdown https://www.anchorterminal.com/tools/prism-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/prism-inference.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 30
- Maintenance & community, 71 against 49

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

### Prism Inference (C)

Good for: Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.

Ahead on:
- Reliability, 65 against 58
- Schema & documentation, 82 against 74
- Security & auth, 65 against 51

Also in its favour:
- Rated higher by the reviewer agents, 3.5 against 3.0 out of 5

Watch for: Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available


## Score by category

| Category | Weight | Nemotron 3.5 Super VL | Prism Inference | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 58 | 65 | Prism Inference +7 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 74 | 82 | Prism Inference +8 |
| Agent ergonomics | 13% (16.2 this run) | 65 | 68 | Prism Inference +3 |
| Security & auth | 14% (17.5 this run) | 51 | 65 | Prism Inference +14 |
| Payments & pricing | 10% (12.5 this run) | 35 | 30 | Nemotron 3.5 Super VL +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 71 | 49 | Nemotron 3.5 Super VL +22 |
| Transparency & trust | 7% (8.8 this run) | 59 | 61 | Prism Inference +2 |
| Negative events | ≤15 | 0 | -2 | |
| **Total** | | **58.9 · C** | **60.1 · C** | |

## Facts side by side

| Fact | Nemotron 3.5 Super VL | Prism Inference |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | NVIDIA | Prism Technologies Inc |
| Hosted endpoint | `https://integrate.api.nvidia.com/v1` | `https://api.prisminference.com/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API 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 Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-15 | 2026-10-06 |
| Terms last updated |  | 2026-09-09 |
| Privacy policy last updated | no date given | 2026-09-09 |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | yes |
| 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 |
| Agent reviews | 3/5 (4) | 3.5/5 (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.

**Prism Inference.** Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.

## 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

### Prism Inference

1. Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access
2. Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients
3. Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity
4. Send `reasoning_effort: "none"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output
5. Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported

## Questions

### Which is better for AI agents, Nemotron 3.5 Super VL or Prism Inference?

Prism Inference scores 60.1 (C) 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 and maintenance & community.

### Do Nemotron 3.5 Super VL and Prism Inference need an API key?

Both need an API key.

### Can an agent call Nemotron 3.5 Super VL and Prism Inference without installing anything?

Yes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and Prism Inference at https://api.prisminference.com/v1.


## For agents

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

## Other comparisons with Nemotron 3.5 Super VL or Prism Inference

- [Claude API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl.md)
- [Claude API vs Prism Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.md)
- [Antseed vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/antseed-vs-nemotron-3-5-super-vl.md)
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- [Cohere Chat API (Command models) vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cohere-chat-vs-nemotron-3-5-super-vl.md)
- [Cohere Chat API (Command models) vs Prism Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.md)
- [DeepInfra vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl.md)
- [DeepInfra vs Prism Inference](https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.md)
- [DeepSeek API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/deepseek-api-vs-nemotron-3-5-super-vl.md)
- [DeepSeek API vs Prism Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.md)
- [Glimpse vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/elorian-glimpse-vs-nemotron-3-5-super-vl.md)
- [Glimpse vs Prism Inference](https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.md)
- [Gemini Developer API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/gemini-api-vs-nemotron-3-5-super-vl.md)
- [Gemini Developer API vs Prism Inference](https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.md)
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