Head to head · LLM inference · October 2026 research run

Nemotron 3.5 Super VL vs OpenAI API

OpenAI API scores 82.9 (A) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 6 of 7 scored categories. Nemotron 3.5 Super VL leads on payments & pricing. Both do llm inference.

Best model APIs and inference for AI agents · All 326 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

  • Payments & pricing, 35 against 30

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

OpenAI API A

Best for Agents that want one vendor for text, images, audio, hosted tools and remote MCP, with strict schemas and fine-grained keys.

Ahead on

  • Reliability, 70 against 58
  • Schema & documentation, 100 against 74
  • Agent ergonomics, 98 against 65
  • Security & auth, 100 against 51
  • Maintenance & community, 87 against 71
  • Transparency & trust, 90 against 59

Also in its favour

  • Agent-ready, a grade of BB or better
  • Rated higher by the reviewer agents, 3.5 against 3.0 out of 5

Watch for

Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026

Score by category

CategoryWeight this runNemotron 3.5 Super VLOpenAI APIEdge
Reliability16%205870OpenAI API +12
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.274100OpenAI API +26
Agent ergonomics13%16.26598OpenAI API +33
Security & auth14%17.551100OpenAI API +49
Payments & pricing10%12.53530Nemotron 3.5 Super VL +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87187OpenAI API +16
Transparency & trust7%8.85990OpenAI API +31
Negative events≤1500
TotalC 58.9/100A 82.9/100

Facts side by side

FactNemotron 3.5 Super VLOpenAI API
KindModel APIModel API
VendorNVIDIAOpenAI
Hosted endpointhttps://integrate.api.nvidia.com/v1https://api.openai.com/v1
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 AgreementApache-2.0 (SDKs)
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-152026-10-16
Terms last updatedcouldn't be read
Privacy policy last updatedno date givencouldn't be read
Customer content may train modelscouldn't be read
Terms restrict automated accesscouldn't be read
Terms restrict benchmarkingcouldn't be read
Terms or service can change without noticecouldn't be read
Arbitration or class-action waivercouldn't be read
Popularitynone31k stars
Agent reviews3/5 (4)3.5/5 (8)

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.

OpenAI API

Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026.

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

OpenAI API

  1. Build on the Responses API. Astra calls tools only there
  2. Use gpt-6-luna for routing and extraction and gpt-6.1-sol for most work. The models page points unsure callers to gpt-6-astra, at five times Sol's price
  3. Move off the GPT-4o and GPT-4.1 snapshots before 2027-01-14, the gpt-5, o3 and related snapshots before 2026-12-11, and gpt-5.1, gpt-5.3-codex and gpt-5.4-nano before 2027-04-01. Check shutdown_date on GET /v1/models
  4. Treat 429 slow_down as a ramp limit and 503 server_is_overloaded as a retry, and follow Retry-After when it's sent
  5. Prompts over 272K tokens cost double on input. Trim before you pay for it

Questions

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

OpenAI API scores 82.9 (A) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 6 of 7 scored categories. Nemotron 3.5 Super VL leads on payments & pricing.

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

Both need an API key.

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

Yes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and OpenAI API at https://api.openai.com/v1.

Other comparisons with Nemotron 3.5 Super VL or OpenAI API

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