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
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
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
| Category | Weight this run | Nemotron 3.5 Super VL | Simplismart | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 58 | 15 | Nemotron 3.5 Super VL +43 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 74 | 51 | Nemotron 3.5 Super VL +23 |
| Agent ergonomics | 13%16.2 | 65 | 17 | Nemotron 3.5 Super VL +48 |
| Security & auth | 14%17.5 | 51 | 35 | Nemotron 3.5 Super VL +16 |
| Payments & pricing | 10%12.5 | 35 | 25 | Nemotron 3.5 Super VL +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 71 | 42 | Nemotron 3.5 Super VL +29 |
| Transparency & trust | 7%8.8 | 60 | 31 | Nemotron 3.5 Super VL +29 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 59/100 | F 29.7/100 |
Facts side by side
| Fact | Nemotron 3.5 Super VL | Simplismart |
|---|---|---|
| Kind | Model API | HTTP API |
| Vendor | NVIDIA | Verute Technologies Private Limited |
| Hosted endpoint | https://integrate.api.nvidia.com/v1 | https://api.simplismart.live |
| 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 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 documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-15 | 2026-10-19 |
| Terms last updated | ||
| Privacy policy last updated | no 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 reviews | 3/5 (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
- Set
chat_template_kwargsto{"enable_thinking": false}for short tasks. Reasoning is on by default, and reasoning tokens share themax_tokensbudget - Read reasoning from
reasoning_contentand the answer fromcontent, and setstreamexplicitly since the API reference defaults it to true - Don't send confidential or personal data to the hosted trial. The model page asks callers not to and says use is logged
- 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
- 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
- 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.
- Set a key expiry and rotate before midnight UTC on the expiry date, because an expired key returns 401.
- Cap retries yourself with exponential backoff, because no rate limits, 429 format or retry guidance are published.
- Check that a model supports tools or JSON output with a test call before relying on it, because neither is documented.
- 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
- Claude API vs Nemotron 3.5 Super VL
- Claude API vs Simplismart
- Antseed vs Nemotron 3.5 Super VL
- Antseed vs Simplismart
- BlockRun.AI vs Nemotron 3.5 Super VL
- BlockRun.AI vs Simplismart
- Cerebras Inference vs Nemotron 3.5 Super VL
- Cerebras Inference vs Simplismart
- Cloudflare AI Gateway vs Nemotron 3.5 Super VL
- Cloudflare AI Gateway vs Simplismart
- Cloudflare Workers AI vs Nemotron 3.5 Super VL
- Cloudflare Workers AI vs Simplismart
- Cohere Chat API (Command models) vs Nemotron 3.5 Super VL
- Cohere Chat API (Command models) vs Simplismart
- DeepInfra vs Nemotron 3.5 Super VL
- DeepInfra vs Simplismart
- DeepSeek API vs Nemotron 3.5 Super VL
- DeepSeek API vs Simplismart
- Glimpse vs Nemotron 3.5 Super VL
- Glimpse vs Simplismart
- Fireworks AI Inference vs Nemotron 3.5 Super VL
- Fireworks AI Inference vs Simplismart
- Gemini Developer API vs Nemotron 3.5 Super VL
- Gemini Developer API vs Simplismart
- GroqCloud vs Nemotron 3.5 Super VL
- GroqCloud vs Simplismart
- Jais 3 vs Nemotron 3.5 Super VL
- Jais 3 vs Simplismart
- Meta Model API vs Nemotron 3.5 Super VL
- Meta Model API vs Simplismart
- MiniMax API vs Nemotron 3.5 Super VL
- MiniMax API vs Simplismart
- Mistral AI API vs Nemotron 3.5 Super VL
- Mistral AI API vs Simplismart
- Muse Spark Open vs Nemotron 3.5 Super VL
- Muse Spark Open vs Simplismart
- Nemotron 3.5 Super VL vs OpenAI API
- Nemotron 3.5 Super VL vs OpenRouter
- Nemotron 3.5 Super VL vs Router.com (Ramp Router)
- Nemotron 3.5 Super VL vs RouterPlus
- Nemotron 3.5 Super VL vs StepFun API
- Nemotron 3.5 Super VL vs Vercel AI Gateway
- Novita AI vs Simplismart
- OpenAI API vs Simplismart
- OpenRouter vs Simplismart
- Prism Inference vs Simplismart
- Router.com (Ramp Router) vs Simplismart
- Beam 1.0 vs Simplismart
- RouterPlus vs Simplismart
- SambaCloud vs Simplismart
- SiliconFlow vs Simplismart
- Simplismart vs StepFun API
- Simplismart vs Together AI Inference
- Simplismart vs Vercel AI Gateway
- Nemotron 3.5 Super VL vs Novita AI
- Nemotron 3.5 Super VL vs Prism Inference
- Nemotron 3.5 Super VL vs Beam 1.0
- Nemotron 3.5 Super VL vs SambaCloud
- Nemotron 3.5 Super VL vs SiliconFlow
- Nemotron 3.5 Super VL vs Together AI Inference
- Nemotron 3.5 Super VL vs Underdog
Machine-readable
- This page as Markdown
/compare/nemotron-3-5-super-vl-vs-simplismart.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/nemotron-3-5-super-vl.json·/api/v1/tools/simplismart.json - From a terminal
anchor compare nemotron-3-5-super-vl simplismart(the CLI) - Over MCP
compare_tools {"a": "nemotron-3-5-super-vl", "b": "simplismart"}at/mcp, no key