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

Nemotron 3.5 Super VL vs Together AI Inference

Together AI Inference scores 67.8 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 5 of 7 scored categories. Nemotron 3.5 Super VL leads on payments & pricing and maintenance & community. Both do open-weight models.

Best model APIs and inference for AI agents · All 407 models comparisons

Nemotron 3.5 Super VLNVIDIA · Model API C58.9/100#629 of 1171 Together AI InferenceTogether Computer, Inc. · HTTP API B67.8/100#265 of 1171

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 20
  • Maintenance & community, 71 against 65

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

Together AI Inference B

Best for Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.

Ahead on

  • Schema & documentation, 93 against 74
  • Agent ergonomics, 85 against 65
  • Security & auth, 70 against 51
  • Transparency & trust, 73 against 59

Watch for

A $15 credit purchase is required before platform access; no free trial

Score by category

CategoryWeight this runNemotron 3.5 Super VLTogether AI InferenceEdge
Reliability16%205860Together AI Inference +2
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27493Together AI Inference +19
Agent ergonomics13%16.26585Together AI Inference +20
Security & auth14%17.55170Together AI Inference +19
Payments & pricing10%12.53520Nemotron 3.5 Super VL +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87165Nemotron 3.5 Super VL +6
Transparency & trust7%8.85973Together AI Inference +14
Negative events≤1500
TotalC 58.9/100B 67.8/100

Facts side by side

FactNemotron 3.5 Super VLTogether AI Inference
KindModel APIHTTP API
VendorNVIDIATogether Computer, Inc.
Hosted endpointhttps://integrate.api.nvidia.com/v1https://api.together.ai/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreePaid
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 official Python SDK is Apache-2.0; served models retain their own licences.
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-152026-10-16
Terms last updatedno date given
Privacy policy last updatedno date givenno date given
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularitynone10 stars
Agent reviews3/5 (4)3/5 (4)

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.

Together AI Inference

A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.

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

Together AI Inference

  1. Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.
  2. For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.
  3. Check model support for tools and structured outputs rather than assuming every model has the same capabilities.
  4. Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.
  5. Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026.

Questions

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

Together AI Inference scores 67.8 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 5 of 7 scored categories. Nemotron 3.5 Super VL leads on payments & pricing and maintenance & community.

Do Nemotron 3.5 Super VL and Together AI Inference need an API key?

Both need an API key.

Can an agent call Nemotron 3.5 Super VL and Together AI Inference without installing anything?

Yes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and Together AI Inference at https://api.together.ai/v1.

Other comparisons with Nemotron 3.5 Super VL or Together AI Inference

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