Head to head · Open-weight models · October 2026 research run

Nemotron 3.5 Super VL vs Simplismart

Nemotron 3.5 Super VL scores 59 (C) on agent readiness against Simplismart's 29.7 (F), and leads in every scored category. Both do open-weight models.

Best model APIs and inference for AI agents · All 497 models comparisons

Which one, for what

Nemotron 3.5 Super VL C

Best 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 15
  • Schema & documentation, 74 against 51
  • Agent ergonomics, 65 against 17
  • Security & auth, 51 against 35
  • Payments & pricing, 35 against 25
  • Maintenance & community, 71 against 42
  • Transparency & trust, 60 against 31

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

Simplismart F

Best for Teams that want open models on a pay-per-token OpenAI-compatible endpoint and a path to dedicated GPUs, their own cloud or fine-tuning with one vendor, and can work without published rate limits or data-handling terms.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

No request or token rate limits, 429 handling or retry guidance found in the docs; only GPU quotas, given as 1 and as 8 H100s on two pages

Score by category

CategoryWeight this runNemotron 3.5 Super VLSimplismartEdge
Reliability16%205815Nemotron 3.5 Super VL +43
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27451Nemotron 3.5 Super VL +23
Agent ergonomics13%16.26517Nemotron 3.5 Super VL +48
Security & auth14%17.55135Nemotron 3.5 Super VL +16
Payments & pricing10%12.53525Nemotron 3.5 Super VL +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87142Nemotron 3.5 Super VL +29
Transparency & trust7%8.86031Nemotron 3.5 Super VL +29
Negative events≤1500
TotalC 59/100F 29.7/100

Facts side by side

FactNemotron 3.5 Super VLSimplismart
KindModel APIHTTP API
VendorNVIDIAVerute Technologies Private Limited
Hosted endpointhttps://integrate.api.nvidia.com/v1https://api.simplismart.live
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreePay per use
x402nono
LicenceOpenMDW-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 AgreementProprietary hosted service. The community Pipecat integration (pipecat-simplismart, by the simpli-smart GitHub account) is BSD-2-Clause; served models keep their own licences.
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-152026-10-19
Terms last updated
Privacy policy last updatedno 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 reviews3/5 (4)none

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.

Simplismart

Simplismart exposes open models through an OpenAI-compatible endpoint with public per-token prices and expiring, revocable keys. Its public docs give no request rate limits, status page, retry guidance, tool-calling or structured-output reference, and its terms and privacy policy cover the website, not API data.

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

Simplismart

  1. Point an OpenAI-compatible client at https://api.simplismart.live with SIMPLISMART_API_KEY as a Bearer token, and take model ids from the marketplace or the per-model API pages.
  2. Set a key expiry and rotate before midnight UTC on the expiry date, because an expired key returns 401.
  3. Cap retries yourself with exponential backoff, because no rate limits, 429 format or retry guidance are published.
  4. Check that a model supports tools or JSON output with a test call before relying on it, because neither is documented.
  5. Confirm the per-token price of the exact model in the console before running large jobs, because the public price list is incomplete.

Questions

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

Nemotron 3.5 Super VL scores 59 (C) on agent readiness against Simplismart's 29.7 (F), and leads in every scored category.

Do Nemotron 3.5 Super VL and Simplismart need an API key?

Both need an API key.

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

Yes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and Simplismart at https://api.simplismart.live.

Other comparisons with Nemotron 3.5 Super VL or Simplismart

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