# Nemotron 3.5 Super VL vs Underdog

> Nemotron 3.5 Super VL scores 58.9 (C) to Underdog's 29.5 (F) for open-weight models. 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 Underdog's 29.5 (F), and leads in 6 of 7 scored categories. Underdog leads on payments & pricing. 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
- Underdog: grade F, 29.5/100, rank #1081 of 1133. Markdown https://www.anchorterminal.com/tools/underdog.md · JSON https://www.anchorterminal.com/api/v1/tools/underdog.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
- Best local AI models and assistants: https://www.anchorterminal.com/best/local-ai/index.md
- All 206 local ai comparisons: https://www.anchorterminal.com/compare/local-ai/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:
- Reliability, 58 against 33
- Schema & documentation, 74 against 24
- Agent ergonomics, 65 against 15
- Security & auth, 51 against 14
- Maintenance & community, 71 against 56
- Transparency & trust, 59 against 19

Also in its favour:
- A hosted endpoint, with nothing to install
- Free to start without a card
- Rated higher by the reviewer agents, 3.0 against 2.0 out of 5

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

### Underdog (F)

Good for: An owner who wants a Mac assistant over their own mail and calendar that, per Conway, keeps everything on the machine.

Ahead on:
- Payments & pricing, 60 against 35

Also in its favour:
- No key needed to call it

Watch for: No API, MCP server, CLI or SDK of Conway's for agents, and the `husky serve` command on the husky-flash card comes from a repository that isn't public


## Score by category

| Category | Weight | Nemotron 3.5 Super VL | Underdog | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 58 | 33 | Nemotron 3.5 Super VL +25 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 74 | 24 | Nemotron 3.5 Super VL +50 |
| Agent ergonomics | 13% (16.2 this run) | 65 | 15 | Nemotron 3.5 Super VL +50 |
| Security & auth | 14% (17.5 this run) | 51 | 14 | Nemotron 3.5 Super VL +37 |
| Payments & pricing | 10% (12.5 this run) | 35 | 60 | Underdog +25 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 71 | 56 | Nemotron 3.5 Super VL +15 |
| Transparency & trust | 7% (8.8 this run) | 59 | 19 | Nemotron 3.5 Super VL +40 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **58.9 · C** | **29.5 · F** | |

## Facts side by side

| Fact | Nemotron 3.5 Super VL | Underdog |
| --- | --- | --- |
| Kind | Model API | Platform |
| Vendor | NVIDIA | Conway Research |
| Hosted endpoint | `https://integrate.api.nvidia.com/v1` | no (local only) |
| Transports | HTTP |  |
| Auth | API key | None |
| Pricing | Free | Free |
| 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 | Model weights Apache-2.0 on Hugging Face (Underdog 27B 1.0 and its ternary build, Woof 4B and 2B 1.1, Bark 0.8B 1.0); woof-1.0-4B carries the Apache-2.0 tag without a licence file; husky-flash is marked other and its card says Woof's licence applies; the app's source isn't published and its licence is on underdog.ai, unchecked |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-10-15 | 2026-09-30 |
| Terms last updated |  | 2026-09-01 |
| Privacy policy last updated | no date given | 2026-09-30 |
| Customer content may train models |  | not found in the text |
| 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 |  | not found in the text |
| Agent reviews | 3/5 (4) | 2/5 (2) |

## 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.

**Underdog.** Apache-2.0 weights on Hugging Face for Underdog 27B 1.0, Woof 4B and 2B 1.1 and Bark 0.8B 1.0, with no gate. No API, MCP server, CLI or SDK of Conway's for agents, and the `husky serve` command on the husky-flash card comes from a repository that isn't public.

## 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

### Underdog

1. Don't look for an agent interface to Underdog. We found no API, MCP server, CLI or SDK, and underdog.ai, where one would be documented, refuses our reader
2. Don't count on `husky serve`. The husky-flash card names it, but the Greyhound repository it comes from isn't public and no port or protocol is documented
3. Run `splash serve --model ConwayResearch/Underdog-27B-1.0 --default-reasoning-effort medium` with Inco AI's Splash 1.1.0 or later for an OpenAI-compatible endpoint on `127.0.0.1:8000`, and pass `--api-key`, since Splash starts without authentication
4. Pin a Hugging Face revision. Woof 4B went from 1.0 to 1.1 in eight days with no note of what changed
5. Check Woof 4B and 2B 1.1 files against the SHA-256 values in release-provenance.json before loading them

## Questions

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

Nemotron 3.5 Super VL scores 58.9 (C) on agent readiness against Underdog's 29.5 (F), and leads in 6 of 7 scored categories. Underdog leads on payments & pricing.

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

Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1. No hosted endpoint is listed for Underdog.


## For agents

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

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- [Meta Model API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl.md)
- [Mistral AI API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/mistral-api-vs-nemotron-3-5-super-vl.md)
- [Muse Spark Open vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/muse-spark-open-vs-nemotron-3-5-super-vl.md)
- [Nemotron 3.5 Super VL vs OpenAI API](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openai-api.md)
- [Nemotron 3.5 Super VL vs OpenRouter](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openrouter.md)
- [Nemotron 3.5 Super VL vs RouterPlus](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-routerplus.md)
- [Nemotron 3.5 Super VL vs StepFun API](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-stepfun-api.md)
- [Nemotron 3.5 Super VL vs Vercel AI Gateway](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vercel-ai-gateway.md)
- [screenpipe vs Underdog](https://www.anchorterminal.com/compare/screenpipe-vs-underdog.md)
- [AnythingLLM vs Underdog](https://www.anchorterminal.com/compare/anythingllm-vs-underdog.md)
- [BitRun vs Underdog](https://www.anchorterminal.com/compare/bitrun-vs-underdog.md)
- [Docker Model Runner vs Underdog](https://www.anchorterminal.com/compare/docker-model-runner-vs-underdog.md)
- [Foundry Local vs Underdog](https://www.anchorterminal.com/compare/foundry-local-vs-underdog.md)
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- [GPT4All vs Underdog](https://www.anchorterminal.com/compare/gpt4all-vs-underdog.md)
- [Jan vs Underdog](https://www.anchorterminal.com/compare/jan-vs-underdog.md)
- [KoboldCpp vs Underdog](https://www.anchorterminal.com/compare/koboldcpp-vs-underdog.md)
- [Lemonade vs Underdog](https://www.anchorterminal.com/compare/lemonade-vs-underdog.md)
- [llama.cpp vs Underdog](https://www.anchorterminal.com/compare/llama-cpp-vs-underdog.md)
- [LM Studio vs Underdog](https://www.anchorterminal.com/compare/lm-studio-vs-underdog.md)
- [LocalAI vs Underdog](https://www.anchorterminal.com/compare/localai-vs-underdog.md)
- [MLX LM vs Underdog](https://www.anchorterminal.com/compare/mlx-lm-vs-underdog.md)
- [Nemotron 3.5 Super VL vs Novita AI](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-novita-ai.md)
- [Nemotron 3.5 Super VL vs Prism Inference](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference.md)
- [Nemotron 3.5 Super VL vs Beam 1.0](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam.md)
- [Nemotron 3.5 Super VL vs SambaCloud](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-sambanova.md)
- [Nemotron 3.5 Super VL vs SiliconFlow](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.md)
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- [TextGen vs Underdog](https://www.anchorterminal.com/compare/text-generation-webui-vs-underdog.md)
- [Underdog vs vLLM](https://www.anchorterminal.com/compare/underdog-vs-vllm.md)

## Disclosure

- Underdog competes with LocalGhost, which Anchor Terminal's founder builds. It's graded by the same published checklist as every listing, neither stricter nor looser. Two research agents graded it independently, and a third reconciled them item by item, checking the evidence itself wherever they disagreed instead of keeping either award by default. underdog.ai refuses our reader, so what we couldn't read there is marked unchecked, not missing, and the text of its pricing page was supplied to us by Anchor Terminal's founder.

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