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Head to head · LLM inference · October 2026 research run

Meta Model API vs Nemotron 3.5 Super VL

Nemotron 3.5 Super VL scores 58.9 (C) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories. Meta Model API leads on agent ergonomics and security & auth. Both do llm inference.

Best model APIs and inference for AI agents · All 326 models comparisons

Meta Model APIMeta · Model API D52.2/100#828 of 1133 Nemotron 3.5 Super VLNVIDIA · Model API C58.9/100#621 of 1133

Which one, for what

Meta Model API D

Best for Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default.

Ahead on

  • Agent ergonomics, 75 against 65
  • Security & auth, 64 against 51

Watch for

Muse Wonder is labelled a preview, and no deprecation policy or notice period was found

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 40
  • Schema & documentation, 74 against 60
  • Payments & pricing, 35 against 20
  • Maintenance & community, 71 against 46
  • Transparency & trust, 59 against 52

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

Score by category

CategoryWeight this runMeta Model APINemotron 3.5 Super VLEdge
Reliability16%204058Nemotron 3.5 Super VL +18
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26074Nemotron 3.5 Super VL +14
Agent ergonomics13%16.27565Meta Model API +10
Security & auth14%17.56451Meta Model API +13
Payments & pricing10%12.52035Nemotron 3.5 Super VL +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84671Nemotron 3.5 Super VL +25
Transparency & trust7%8.85259Nemotron 3.5 Super VL +7
Negative events≤1500
TotalD 52.2/100C 58.9/100

Facts side by side

FactMeta Model APINemotron 3.5 Super VL
KindModel APIModel API
VendorMetaNVIDIA
Hosted endpointhttps://api.meta.ai/v1https://integrate.api.nvidia.com/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingPay per useFree
x402nono
LicenceClosed service under the Meta Model API Terms of Service (last updated 9 October 2026), with Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, as the contracting party.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
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-122026-10-15
Terms last updated
Privacy policy last updatedcouldn't be readno 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 reviewsnone3/5 (4)

Verdicts

Meta Model API

Meta Model API serves Muse Wonder, in preview since 12 October 2026, and Muse Spark with 1M-token context, constrained JSON Schema output, automatic prompt caching and per-token prices published without a login. Standard-mode content is not used for training. There's no free allowance, status history, OpenAPI file, deprecation policy or way to force a tool call.

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.

Before you call either

Meta Model API

  1. Use muse-wonder-1.0 for long multi-step work and muse-spark-1.3 for cheaper, high-volume calls. Both take the same requests
  2. Keep personal or confidential data away from -contributor model IDs. Meta may train on that content
  3. Honour Retry-After on 429 and 503, which is 60 seconds for service_overloaded, and check GET https://api.meta.ai/v1/status, which needs no key
  4. Pass the key to the OpenAI SDK explicitly or set OPENAI_API_KEY. The SDK doesn't read MODEL_API_KEY
  5. Leave tool_choice at auto. The docs say none and required are not supported

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

Questions

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

Nemotron 3.5 Super VL scores 58.9 (C) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories. Meta Model API leads on agent ergonomics and security & auth.

Do Meta Model API and Nemotron 3.5 Super VL need an API key?

Both need an API key.

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

Yes. Meta Model API has a hosted endpoint at https://api.meta.ai/v1 and Nemotron 3.5 Super VL at https://integrate.api.nvidia.com/v1.

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