# Inkling 2 Small vs Nemotron 3.5 Super VL (slim)

> Nemotron 3.5 Super VL scores 59.3 (C) to Inkling 2 Small's 52.1 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-super-vl.md (~5,350 tokens) · this version ~1,930 tokens · JSON https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-super-vl.json · canonical https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-super-vl
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-06
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Nemotron 3.5 Super VL scores 59.3 (C) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 4 of 7 scored categories. Inkling 2 Small leads on transparency & trust. Both do llm inference.

- Inkling 2 Small: D 52.1, rank #899 of 1354 · https://www.anchorterminal.com/tools/inkling-2-small.min.md
- Nemotron 3.5 Super VL: C 59.3, rank #637 of 1354 · https://www.anchorterminal.com/tools/nemotron-3-5-super-vl.min.md
- Inkling 2 Small, good for Developers who want a capable multimodal open-family model through an OpenAI-compatible API today, or to fine-tune it on Tinker, and who can live with a beta surface until the weights are published. Ahead on Transparency & trust, 64 against 58.
- Nemotron 3.5 Super VL, 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 30; Payments & pricing, 35 against 20. Also Free to start without a card.

| Category | Inkling 2 Small | Nemotron 3.5 Super VL |
| --- | --- | --- |
| Reliability (16%) | 30 | 58 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 70 | 74 |
| Agent ergonomics (13%) | 62 | 65 |
| Security & auth (14%) | 57 | 54 |
| Payments & pricing (10%) | 20 | 35 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 75 | 71 |
| Transparency & trust (7%) | 64 | 58 |

| Fact (where they differ) | Inkling 2 Small | Nemotron 3.5 Super VL |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | NVIDIA |
| Hosted endpoint | `https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1` | `https://integrate.api.nvidia.com/v1` |
| Transports |  | HTTP |
| Pricing | Pay per use | Free |
| Licence | Proprietary for now, used through Tinker under the Tinker Terms of Use and Thinking Machines' Model Acceptable Use Policy, per the model card. Thinking Machines says it will publish the weights under Apache 2.0 the week after launch, once outside safety testing is done | 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 |
| Last release | 2026-11-05 | 2026-10-15 |
| Privacy policy last updated | not read yet | no date given |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reliability, Nemotron 3.5 Super VL +28: Inkling 2 Small 30 (Model reading, for the surface it's called on, Tinker's serverless inference and OpenAI-compatible API. No status page found, per the tinker listing's checks of 1 October and 4 November (0), so no readable incident history (5). The only published limit is the in-flight sample cap of 2,000, per the tinker listing's 1 October check; the OpenAI-compatible page gives no numbers and says higher or more stable throughput needs the waitlist (10). The SDK retries sampling with stable request IDs, per the tinker listing's reading of the SDK repository; the OpenAI-compatible page has no retry guidance (15). No SLA found (0). Serverless inference is 'currently in beta' on the models and pricing page and the OpenAI-compatible API is labelled Beta, read 6 November (0). 0 + 5 + 10 + 15 + 0 + 0 = 30.); Nemotron 3.5 Super VL 58 (Hosted reading, for NVIDIA's trial endpoint. status.ngc.nvidia.com is a Statuspage site with NVIDIA Build and Cloud Functions components and a readable history (20). In the 90 days to 4 November, re-read from history.atom, two incidents, both minor for an API caller, and none posted since 29 September. SMS verification for NVIDIA Build was unavailable in China from 23 to 29 September, which affects sign-up, and on 10 August new Cloud Functions deployments failed for about three hours while existing deployments kept running (20). build.nvidia.com gives limits of up to 40 requests a minute and 10,000 a day, and says they vary by model and with other users' traffic (12 of 15). The OpenAPI file documents a 202 pending result with an `NVCF-REQID` to poll, but no 429, Retry-After or backoff guidance, and NVIDIA's FAQ says to expect long waits under load (3 of 15). No SLA for the trial. NVIDIA's SLAs come with AI Enterprise for self-hosted software (0). The card says v1.0 GA, but the hosted page calls the model early access and NVIDIA calls the catalogue a trial for prototyping only (3 of 10). The model page re-read on 4 November still says early access, with a free endpoint marked available and 40 rpm. 20+20+12+3+0+3 = 58.)
- Payments & pricing, Nemotron 3.5 Super VL +15: Inkling 2 Small 20 (Published rubric. No payment protocol (0). Per-million-token prices for serverless inference and training published without a login on 6 November (20). No free tier listed, and the quickstart asks for payment details before training, per the tinker listing (0). Sign-up is a browser flow (0). 0 + 20 + 0 + 0 = 20.); Nemotron 3.5 Super VL 35 (No x402, MPP or L402 (0). The hosted endpoint is free and says so without a login, and the production routes are priced in public (AI Enterprise at $4,500 a GPU a year, partner hosts per million tokens), but the free endpoint can't be used in production and has no per-call price of its own (15 of 20). Free with no card per build.nvidia.com/llms.txt (20). A person signs in at build.nvidia.com, which uses SMS verification per the status page, to generate a key. No keyless or programmatic route (0). 35.)
- Transparency & trust, Inkling 2 Small +6: Inkling 2 Small 64 (Editorial half. Closed for now under the Tinker Terms of Use and the Model Acceptable Use Policy, per the model card, with Apache 2.0 weights promised the week after launch (15). Terms commit not to use Customer Content for training, keep it only as needed, with a DPA and deletion on request; the privacy notice wasn't re-read, per the tinker listing (15). Dated deprecation notices with no stated period (15). The DPA annex names Google Cloud, Cloudflare, WorkOS and OpenAI with service and location (15). 15 + 15 + 15 + 15 = 60.); Nemotron 3.5 Super VL 58 (Weights under OpenMDW-1.1, a short permissive licence from the Linux Foundation with no field-of-use limits, but not an OSI licence. Datasets and training recipes are released. The hosted trial is under terms we couldn't read, and the OpenAPI file names a different model licence and the AI Enterprise EULA (22 of 30). NVIDIA's privacy policy (22 September 2025) doesn't address API prompts. The model page says use is logged for security and to improve NVIDIA products, with improvement data not linked to identity, and gives no retention period. The trial terms that may say more were unread (8 of 30). No deprecation policy or dated notices for catalogue models. The page carries an `isDeprecated` flag only (3 of 20). The quickstart says hosted endpoints run on NVIDIA DGX Cloud, but no subprocessors or data locations for the catalogue were found (5 of 20). `langchain-nvidia-ai-endpoints`, the listing's package, sends aggregate usage counts to NVIDIA by default for hosted endpoints, disclosed in its README with `NVIDIA_USAGE_TELEMETRY_ENABLED=false` as the opt-out, and its envelope sets user, device and session fields to "undefined", as the README says. Disclosed, so no term. 22+8+3+5 = 38.)
