{
  "data": {
    "a": {
      "slug": "nemotron-3-5-super-vl",
      "name": "Nemotron 3.5 Super VL",
      "vendor": "NVIDIA",
      "vendorUrl": "https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/",
      "kind": "model",
      "category": "inference",
      "summary": "Nemotron 3.5 Super VL is NVIDIA's open-weight vision-language model for agents, a 120B mixture of experts with 12B active parameters that reads text, images and video. NVIDIA hosts a free trial endpoint, and the weights are under OpenMDW-1.1.",
      "url": "https://www.anchorterminal.com/tools/nemotron-3-5-super-vl",
      "markdownUrl": "https://www.anchorterminal.com/tools/nemotron-3-5-super-vl.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/nemotron-3-5-super-vl.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-super-vl.json",
      "repo": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16",
      "license": "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",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://integrate.api.nvidia.com/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "langchain-nvidia-ai-endpoints"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer key (`nvapi-...`) in the Authorization header, generated by a signed-in person at build.nvidia.com/settings. NVIDIA's NGC docs say personal keys are limited to the services and role chosen at creation and take an expiry date, and organisation administrators can create service keys scoped to actions. The same key pulls the NIM container from nvcr.io. The Hugging Face weights are ungated and need no key.",
      "pricing": "free",
      "pricingNotes": "The hosted endpoint is free with no card, for prototyping, research and testing only, at up to 40 requests a minute and 10,000 a day. Production use needs a partner endpoint, such as Crusoe or DeepInfra at $0.10 input and $0.40 output per million tokens on OpenRouter, or self-hosting, where the NIM needs NVIDIA AI Enterprise at $4,500 a GPU a year (checked 2026-10-17).",
      "priceSummary": "Free",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 on build.nvidia.com, the OpenAPI file or the NIM docs. The hosted endpoint is free behind a key and has no payment route (checked 2026-10-17).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-17"
      },
      "docsUrl": "https://build.nvidia.com/nvidia/nemotron-3.5-super-vl-120b-a12b",
      "llmsTxt": "https://build.nvidia.com/llms.txt",
      "openapi": "https://docs.api.nvidia.com/nim/reference/nvidia-nemotron-3_5-super-vl-120b-a12b-infer",
      "capabilities": [
        "inference.open-weights",
        "inference.llm",
        "inference.local"
      ],
      "tags": [
        "model",
        "open-weights",
        "hosted",
        "free",
        "no-card",
        "trial",
        "multimodal",
        "openai-compatible",
        "openapi",
        "llms-txt",
        "gpu",
        "new"
      ],
      "lastRelease": "2026-10-15",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 58.9,
        "grade": "C",
        "agentReady": false,
        "rank": 621,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 15,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 65,
          "maintenance": 71,
          "payments": 35,
          "reliability": 58,
          "schema": 74,
          "security": 51,
          "transparency": 59
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": 0,
        "verdict": "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.",
        "bestFor": "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.",
        "strengths": [
          "OpenAPI 3.1 file for the hosted chat endpoint, with enums for `reasoning_effort`, `tool_choice` and `response_format`",
          "Tool calls with `tool_choice` auto, none, required or a named function, parallel calls, and `json_schema` structured output",
          "Weights in BF16 and NVFP4 under OpenMDW-1.1, a permissive licence with no field-of-use limits, plus open datasets and training recipes",
          "Free hosted endpoint with no card, on the same base URL and key as NVIDIA's other catalogue models",
          "Up to 1M tokens of context in the weights, and reasoning that can be switched off per request"
        ],
        "weaknesses": [
          "NVIDIA says its hosted endpoints are for prototyping, research and testing only, and production use needs a partner endpoint or self-hosting",
          "Rate limit of up to 40 requests a minute and 10,000 a day, which NVIDIA says can vary with other users' traffic",
          "The NVIDIA API Trial Terms of Service, which govern the hosted endpoint, are on a host whose robots.txt answered access denied, so we didn't read them",
          "The hosted page lists 262K tokens of context while the card says 1M, and labels the model early access while the card says GA",
          "No changelog, deprecation policy or SLA for the hosted catalogue was found"
        ],
        "agentNotes": [
          "Set `chat_template_kwargs` to `{\"enable_thinking\": false}` for short tasks. Reasoning is on by default, and reasoning tokens share the `max_tokens` budget",
          "Read reasoning from `reasoning_content` and the answer from `content`, and set `stream` explicitly 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"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 58.9
          }
        ],
        "editorialScores": {
          "ergonomics": 65,
          "maintenance": 71,
          "payments": 35,
          "reliability": 58,
          "schema": 74,
          "security": 51,
          "transparency": 38
        },
        "provenanceScore": 79
      },
      "connect": {
        "http": "curl https://integrate.api.nvidia.com/v1/chat/completions \\\n  -H \"Authorization: Bearer $NVIDIA_API_KEY\" \\\n  -H \"Accept: application/json\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"model\": \"nvidia/nemotron-3.5-super-vl-120b-a12b\",\n    \"messages\": [{\"role\": \"user\", \"content\": \"Which number is larger, 9.11 or 9.8?\"}],\n    \"temperature\": 1.0,\n    \"top_p\": 0.95,\n    \"max_tokens\": 8192,\n    \"chat_template_kwargs\": {\"enable_thinking\": true},\n    \"stream\": true\n  }'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.open-weights",
        "tool": "https://letme.dev/nemotron-3-5-super-vl"
      },
      "sameCompany": [
        "nvidia-nemo-retriever",
        "nemo-guardrails"
      ],
      "area": "models",
      "provenance": {
        "legalEntity": "NVIDIA Corporation",
        "domain": "nvidia.com",
        "domainRegistered": "1993-04-20",
        "endpointOnVendorDomain": true,
        "terms": "https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf",
        "privacy": "https://www.nvidia.com/en-us/about-nvidia/privacy-policy/",
        "statusPage": "https://status.ngc.nvidia.com",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-17",
        "notes": [
          "The card names NVIDIA Corporation as model developer. The hosted endpoint is on integrate.api.nvidia.com and the model page on build.nvidia.com, both under nvidia.com. RDAP gives a registration date of 20 April 1993.",
          "The model page names the NVIDIA API Trial Terms of Service, a PDF on assets.ngc.nvidia.com, as the governing terms of the hosted trial. That host's robots.txt answered with an S3 AccessDenied error, so the PDF was not read, as for the nvidia-nemo-retriever listing.",
          "The privacy policy is NVIDIA's general policy, effective 22 September 2025. It does not address prompts sent to the API catalogue. The model page's consent text says use is logged for security and to improve NVIDIA products and services, and that the logged data for improvement is not linked to the user's identity.",
          "status.ngc.nvidia.com is a Statuspage site with components for NVIDIA Build and Cloud Functions, the service the hosted endpoints run on per the error URNs in the OpenAPI file.",
          "No changelog for the API catalogue or the model was found. The Hugging Face commit history records card revisions from 12 to 16 October 2026.",
          "www.nvidia.com/.well-known/security.txt answered 403 and build.nvidia.com/.well-known/security.txt returned the site's HTML page. Vulnerability reports go to NVIDIA PSIRT, linked from the model card."
        ],
        "score": 79
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/nemotron-3-5-super-vl.json",
      "live": {
        "slug": "nemotron-3-5-super-vl",
        "probe": {
          "target": "https://integrate.api.nvidia.com/v1",
          "method": "get",
          "lastAt": "2026-10-18T00:31:00.317381787Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 54,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 50,
          "p95ms24h": 79,
          "samples24h": 27,
          "samples30d": 27,
          "days": [
            {
              "date": "2026-10-17",
              "probes": 21,
              "ok": 21
            },
            {
              "date": "2026-10-18",
              "probes": 6,
              "ok": 6
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.ngc.nvidia.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-18T00:20:53.192075992Z"
        },
        "updatedAt": "2026-10-18T00:31:00.317381787Z"
      }
    },
    "answer": "Vercel AI Gateway scores 66.7 (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 \u0026 pricing.",
    "b": {
      "slug": "vercel-ai-gateway",
      "name": "Vercel AI Gateway",
      "vendor": "Vercel Inc.",
      "vendorUrl": "https://vercel.com",
      "kind": "router",
      "category": "inference",
      "summary": "Vercel AI Gateway is a hosted router for model APIs. One API key or Vercel OIDC token reaches models from OpenAI, Anthropic, Google and others through OpenAI-compatible, Anthropic-compatible and AI SDK interfaces, with budgets, request logs and provider failover.",
      "url": "https://www.anchorterminal.com/tools/vercel-ai-gateway",
      "markdownUrl": "https://www.anchorterminal.com/tools/vercel-ai-gateway.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vercel-ai-gateway.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vercel-ai-gateway.json",
      "repo": "https://github.com/vercel/ai",
      "license": "Proprietary service under Vercel's Terms of Service and AI Product Terms, with Token Pass terms on its docs page. Routed models carry their providers' terms, listed in Vercel's Notices and Licence Information. The `@ai-sdk/gateway` provider is Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://ai-gateway.vercel.sh/v1",
      "packages": [
        {
          "registry": "npm",
          "name": "@ai-sdk/gateway"
        },
        {
          "registry": "npm",
          "name": "ai"
        },
        {
          "registry": "pypi",
          "name": "ai"
        }
      ],
      "auth": "mixed",
      "authNotes": "An AI Gateway API key as a Bearer token from any environment, or a Vercel OIDC token on Vercel deployments (12 hours locally, refreshed with `vercel env pull`). Keys belong to a team, can be limited to one project and given an expiry and a budget, and are created in the dashboard, with the Vercel CLI or by `POST /v1/api-keys` with a Vercel access token. A person creates the Vercel account in a browser. Token Pass needs its own Token Pass API key, and OIDC tokens cannot spend Token Pass credit.",
      "pricing": "usage",
      "pricingNotes": "Prepaid AI Gateway Credits at each provider's list price, with no markup or platform fee, including BYOK. A monthly free credit covers a subset of models and needs a valid payment method on the team. Credits expire a year after purchase. Add-ons are billed separately, and Token Pass is $30 a team a month on Pro for $80 of credit on two models, in early access (https://vercel.com/docs/ai-gateway/pricing, https://vercel.com/docs/ai-gateway/token-pass, checked 2026-10-17).",
      "priceSummary": "$30 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the AI Gateway docs, the pricing page, the Token Pass pages or the AI Gateway entries of the changelog sitemap. Payment is by prepaid credits bought with a card, or by invoice on Enterprise (checked 2026-10-17).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 29597661,
        "pypiWeekly": null,
        "asOf": "2026-10-17"
      },
      "docsUrl": "https://vercel.com/docs/ai-gateway",
      "llmsTxt": "https://vercel.com/llms.txt",
      "openapi": "https://vercel.com/openapi.json",
      "capabilities": [
        "inference.router",
        "inference.llm",
        "inference.fast",
        "inference.decision",
        "obs.gateway",
        "obs.traces",
        "embed.text",
        "image.generate",
        "video.generate"
      ],
      "tags": [
        "hosted",
        "router",
        "usage-based",
        "prepaid",
        "free-tier",
        "openai-compatible",
        "anthropic-compatible",
        "llms-txt",
        "openapi",
        "typescript",
        "python",
        "oidc",
        "cli",
        "early-access",
        "status-page",
        "bug-bounty",
        "soc2",
        "iso27001"
      ],
      "lastRelease": "2026-10-17",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 66.7,
        "grade": "B",
        "agentReady": false,
        "rank": 302,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 9,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 83,
          "maintenance": 79,
          "payments": 20,
          "reliability": 74,
          "schema": 74,
          "security": 79,
          "transparency": 70
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": -3,
        "negativeNotes": [
          "April 2026. Vercel's security bulletin says an attacker took over an employee's account through a compromised third-party AI tool, reached internal systems and decrypted non-sensitive environment variables of a limited subset of customers. AI Gateway was generally available then, and its docs have deployments keep AI Gateway and Token Pass API keys as environment variables. The bulletin documents remediation and marks the incident closed on 16 October 2026, so 3 of a possible 15 is taken, as for vercel-connect (https://vercel.com/kb/bulletin/vercel-april-2026-security-incident)."
        ],
        "verdict": "Token prices pass through with no markup, prompts are not stored by the gateway, and budgets, provider failover and per-request logs are built in. The free monthly credit needs a card on file, rate limits are not published as numbers, no SLA covers the API, and the contractual promise not to train on content applies to Enterprise subscriptions only.",
        "bestFor": "Teams that want one key, one bill, budgets and failover in front of many model providers, especially on Vercel with OIDC.",
        "strengths": [
          "Token prices are each provider's list price with no markup or platform fee, including requests made with the customer's own provider keys",
          "The model list at `GET /v1/models` needs no key and gives prices, context windows, supported parameters and ZDR and no-training flags for 474 models",
          "Budgets per team, project, API key or team member reject spend with a 402, distinct from a 429 rate limit",
          "The gateway logs request metadata only. Prompt and response content is deleted when the request completes, per the FAQ and the ZDR page",
          "Failed provider attempts are retried on a model's other providers, and every routing attempt appears in the request logs"
        ],
        "weaknesses": [
          "The free monthly credit needs a valid payment method on the team, and its amount is not stated in the reviewed docs",
          "No rate-limit numbers are published, and the Enterprise SLA excludes the APIs, so the inference API carries no uptime commitment",
          "The contractual promise not to train on AI Gateway content covers Enterprise subscriptions only. Provider no-training and ZDR filters are opt-in per request",
          "A failed BYOK request falls back to Vercel's credentials and is billed to credits, and the no-training filter is not applied to BYOK",
          "Token Pass is early access for Pro teams only, covers two models, has no failover and fails with a 403 once the $80 credit is spent"
        ],
        "agentNotes": [
          "Read `GET https://ai-gateway.vercel.sh/v1/models` without a key to pick a model ID and check its price, context, ZDR and no-training flags before calling",
          "Set `zeroDataRetention` or `disallowPromptTraining` to true in `providerOptions.gateway` on sensitive requests. Default routing ignores provider retention and training policies",
          "Treat a 429 as retryable and honour `retry-after` when present. A 402 with `quota_for_entity_exceeded` is a spent budget, so do not retry it",
          "On a Token Pass key, a 403 with `no_providers_available` means spent credit or a model outside the pass. Retry with a standard AI Gateway key, which bills credits",
          "Set `inferenceRegion` when data residency matters. The default `global` may run inference outside the user's jurisdiction"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 66.7
          }
        ],
        "editorialScores": {
          "ergonomics": 83,
          "maintenance": 79,
          "payments": 20,
          "reliability": 74,
          "schema": 74,
          "security": 79,
          "transparency": 55
        },
        "provenanceScore": 84
      },
      "connect": {
        "install": "pnpm add ai@latest",
        "http": "curl https://ai-gateway.vercel.sh/v1/chat/completions \\\n  -H \"Authorization: Bearer $AI_GATEWAY_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"model\": \"openai/gpt-6-astra\",\n    \"messages\": [\n      {\n        \"role\": \"user\",\n        \"content\": \"Explain AI Gateway in one sentence.\"\n      }\n    ]\n  }'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.router",
        "tool": "https://letme.dev/vercel-ai-gateway"
      },
      "sameCompany": [
        "vercel-sandbox",
        "vercel-connect"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Token Pass subscription (Pro teams)",
          "unit": "month",
          "usd": 30,
          "note": "$80 of monthly credit on two featured models. Early access"
        },
        {
          "item": "Team-wide Zero Data Retention",
          "unit": "1k-requests",
          "usd": 0.1,
          "note": "Pro and Enterprise. Per-request ZDR is free"
        },
        {
          "item": "Team-wide provider allowlist",
          "unit": "1k-requests",
          "usd": 0.1,
          "note": "Successful requests, Pro and Enterprise"
        },
        {
          "item": "Custom Reporting query",
          "unit": "1k-requests",
          "usd": 5,
          "note": "Queries to the reporting endpoint"
        },
        {
          "item": "Custom Reporting write of a tag, user ID or quota entity ID",
          "unit": "1k-requests",
          "usd": 0.075,
          "note": "Each unique value in a request counts as one write"
        },
        {
          "item": "AI Gateway trace delivered to a drain",
          "unit": "1k-requests",
          "usd": 0.05,
          "note": "Listed per 1,000 traces, Pro and Enterprise"
        },
        {
          "item": "Trace egress",
          "unit": "gb",
          "usd": 0.5,
          "note": "Billed through Drains usage"
        }
      ],
      "provenance": {
        "legalEntity": "Vercel Inc.",
        "domain": "vercel.com",
        "domainRegistered": "1999-10-04",
        "endpointOnVendorDomain": false,
        "terms": "https://vercel.com/legal/terms",
        "privacy": "https://vercel.com/legal/privacy-policy",
        "statusPage": "https://www.vercel-status.com",
        "changelog": "https://vercel.com/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-17",
        "notes": [
          "The Terms of Service (last updated 1 June 2026) name Vercel Inc. The AI Product Terms (last updated 17 March 2026, effective 31 March 2026) have a section for AI Gateway and form part of those terms.",
          "The Privacy Notice is effective from 1 June 2026. The DPA (effective 31 March 2026) applies to Pro and Enterprise plans.",
          "https://vercel.com/.well-known/security.txt points to HackerOne and responsible.disclosure@vercel.com and expires 2027-09-28.",
          "The API answers at ai-gateway.vercel.sh, a Vercel domain other than vercel.com. Management calls go to api.vercel.com.",
          "RDAP gives vercel.com a registration date of 1999-10-04, long before Vercel, so the domain was bought later.",
          "AI Gateway is a component on the status page at www.vercel-status.com."
        ],
        "score": 84
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/vercel-ai-gateway.json",
      "live": {
        "slug": "vercel-ai-gateway",
        "probe": {
          "target": "https://ai-gateway.vercel.sh/v1",
          "method": "get",
          "lastAt": "2026-10-18T00:31:12.286325068Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 44,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 44,
          "p95ms24h": 81,
          "samples24h": 27,
          "samples30d": 27,
          "days": [
            {
              "date": "2026-10-17",
              "probes": 21,
              "ok": 21
            },
            {
              "date": "2026-10-18",
              "probes": 6,
              "ok": 6
            }
          ]
        },
        "vendorStatus": {
          "page": "https://www.vercel-status.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-18T00:21:18.861043542Z"
        },
        "pages": [
          {
            "url": "https://vercel.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-17T23:12:07.820243737Z",
            "changedAt": "2026-10-17T23:12:07.820243737Z",
            "fingerprint": "6e97bda95155"
          },
          {
            "url": "https://vercel.com/docs/ai-gateway/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-17T23:12:10.171936068Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "4f5fb8231bb5"
          },
          {
            "url": "https://vercel.com/legal/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-17T23:12:16.357485677Z",
            "changedAt": "2026-10-06T16:13:29.92763016Z",
            "fingerprint": "7ab1f9d3393a"
          },
          {
            "url": "https://vercel.com/legal/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-17T23:12:17.929919856Z",
            "changedAt": "2026-10-06T16:13:31.349375221Z",
            "fingerprint": "35995712008a"
          }
        ],
        "updatedAt": "2026-10-18T00:31:12.286325068Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model router",
        "name": "Kind"
      },
      {
        "a": "NVIDIA",
        "b": "Vercel Inc.",
        "name": "Vendor"
      },
      {
        "a": "https://integrate.api.nvidia.com/v1",
        "b": "https://ai-gateway.vercel.sh/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "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",
        "b": "Proprietary service under Vercel's Terms of Service and AI Product Terms, with Token Pass terms on its docs page. Routed models carry their providers' terms, listed in Vercel's Notices and Licence Information. The `@ai-sdk/gateway` provider is Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-15",
        "b": "2026-10-17",
        "name": "Last release"
      },
      {
        "a": "",
        "b": "2026-06-01",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "2026-06-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "yes, with an opt-out",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "29.6M npm/wk",
        "name": "Popularity"
      },
      {
        "a": "3/5 (4)",
        "b": "3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Vercel AI Gateway scores 66.7 (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 \u0026 pricing.",
        "question": "Which is better for AI agents, Nemotron 3.5 Super VL or Vercel AI Gateway?"
      },
      {
        "answer": "Nemotron 3.5 Super VL needs an API key. Vercel AI Gateway takes an API key or an OAuth sign-in.",
        "question": "Do Nemotron 3.5 Super VL and Vercel AI Gateway need an API key?"
      },
      {
        "answer": "Yes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and Vercel AI Gateway at https://ai-gateway.vercel.sh/v1.",
        "question": "Can an agent call Nemotron 3.5 Super VL and Vercel AI Gateway without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 35 against 20"
        ],
        "also": [
          "Free to start without a card",
          "No incidents deducted, where Vercel AI Gateway loses 3 points for them"
        ],
        "goodFor": "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.",
        "slug": "nemotron-3-5-super-vl",
        "watchFor": "NVIDIA says its hosted endpoints are for prototyping, research and testing only, and production use needs a partner endpoint or self-hosting"
      },
      {
        "aheadOn": [
          "Reliability, 74 against 58",
          "Agent ergonomics, 83 against 65",
          "Security \u0026 auth, 79 against 51",
          "Maintenance \u0026 community, 79 against 71",
          "Transparency \u0026 trust, 70 against 59"
        ],
        "also": null,
        "goodFor": "Teams that want one key, one bill, budgets and failover in front of many model providers, especially on Vercel with OIDC.",
        "slug": "vercel-ai-gateway",
        "watchFor": "The free monthly credit needs a valid payment method on the team, and its amount is not stated in the reviewed docs"
      }
    ],
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
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        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl.json",
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        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-vercel-ai-gateway.json",
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        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-vercel-ai-gateway"
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      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-nemotron-3-5-super-vl.json",
        "title": "Antseed vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl.json",
        "title": "BlockRun.AI vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-vercel-ai-gateway.json",
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        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-nemotron-3-5-super-vl.json",
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        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vercel-ai-gateway.json",
        "title": "Cloudflare AI Gateway vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-nemotron-3-5-super-vl.json",
        "title": "Cloudflare Workers AI vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vercel-ai-gateway.json",
        "title": "Cloudflare Workers AI vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-nemotron-3-5-super-vl.json",
        "title": "Cohere Chat API (Command models) vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-vercel-ai-gateway.json",
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        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-vercel-ai-gateway"
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      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl.json",
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        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-vercel-ai-gateway.json",
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        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-vercel-ai-gateway"
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      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-nemotron-3-5-super-vl.json",
        "title": "DeepSeek API vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-vercel-ai-gateway.json",
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        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-vercel-ai-gateway"
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      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-nemotron-3-5-super-vl.json",
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        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-vercel-ai-gateway.json",
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        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-nemotron-3-5-super-vl.json",
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        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-vercel-ai-gateway.json",
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        "json": "https://www.anchorterminal.com/compare/groq-vs-nemotron-3-5-super-vl.json",
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        "url": "https://www.anchorterminal.com/compare/groq-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-vercel-ai-gateway.json",
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        "url": "https://www.anchorterminal.com/compare/groq-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-nemotron-3-5-super-vl.json",
        "title": "Jais 3 vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-vercel-ai-gateway.json",
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        "url": "https://www.anchorterminal.com/compare/jais-3-vs-vercel-ai-gateway"
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      {
        "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl.json",
        "title": "Meta Model API vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-vercel-ai-gateway.json",
        "title": "Meta Model API vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-vercel-ai-gateway"
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      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-nemotron-3-5-super-vl.json",
        "title": "Mistral AI API vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-vercel-ai-gateway.json",
        "title": "Mistral AI API vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-vercel-ai-gateway"
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      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-nemotron-3-5-super-vl.json",
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        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-vercel-ai-gateway.json",
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        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-vercel-ai-gateway"
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      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openai-api.json",
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      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openrouter.json",
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        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openrouter"
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      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-routerplus.json",
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        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-routerplus"
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      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-stepfun-api.json",
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        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-stepfun-api"
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        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-vercel-ai-gateway.json",
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        "json": "https://www.anchorterminal.com/compare/openai-api-vs-vercel-ai-gateway.json",
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        "json": "https://www.anchorterminal.com/compare/openrouter-vs-vercel-ai-gateway.json",
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      {
        "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-vercel-ai-gateway.json",
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      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-vercel-ai-gateway.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-vercel-ai-gateway.json",
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        "json": "https://www.anchorterminal.com/compare/stepfun-api-vs-vercel-ai-gateway.json",
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        "url": "https://www.anchorterminal.com/compare/stepfun-api-vs-vercel-ai-gateway"
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      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-novita-ai.json",
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        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-novita-ai"
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      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference.json",
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        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam.json",
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      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-sambanova.json",
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        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.json",
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        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-underdog.json",
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        "title": "Prism Inference vs Vercel AI Gateway",
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    ],
    "scores": [
      {
        "by": 16,
        "edge": "vercel-ai-gateway",
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        "name": "Reliability",
        "nemotron-3-5-super-vl": 58,
        "vercel-ai-gateway": 74,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 0,
        "edge": "",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "nemotron-3-5-super-vl": 74,
        "vercel-ai-gateway": 74,
        "weight": 13
      },
      {
        "by": 18,
        "edge": "vercel-ai-gateway",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "nemotron-3-5-super-vl": 65,
        "vercel-ai-gateway": 83,
        "weight": 13
      },
      {
        "by": 28,
        "edge": "vercel-ai-gateway",
        "key": "security",
        "name": "Security \u0026 auth",
        "nemotron-3-5-super-vl": 51,
        "vercel-ai-gateway": 79,
        "weight": 14
      },
      {
        "by": 15,
        "edge": "nemotron-3-5-super-vl",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "nemotron-3-5-super-vl": 35,
        "vercel-ai-gateway": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "edge": "vercel-ai-gateway",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "nemotron-3-5-super-vl": 71,
        "vercel-ai-gateway": 79,
        "weight": 7
      },
      {
        "by": 11,
        "edge": "vercel-ai-gateway",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "nemotron-3-5-super-vl": 59,
        "vercel-ai-gateway": 70,
        "weight": 7
      }
    ],
    "summary": "Vercel AI Gateway scores 66.7 (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 \u0026 pricing. Both do llm inference.",
    "tutorials": [],
    "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.",
      "vercel-ai-gateway": "Token prices pass through with no markup, prompts are not stored by the gateway, and budgets, provider failover and per-request logs are built in. The free monthly credit needs a card on file, rate limits are not published as numbers, no SLA covers the API, and the contractual promise not to train on content applies to Enterprise subscriptions only."
    }
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  "markdown": "Vercel AI Gateway scores 66.7 (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 \u0026 pricing. Both do llm inference.\n\n- Nemotron 3.5 Super VL: grade C, 58.9/100, rank #621 of 1133. Markdown https://www.anchorterminal.com/tools/nemotron-3-5-super-vl.md · JSON https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-super-vl.json\n- Vercel AI Gateway: grade B, 66.7/100, rank #302 of 1133. Markdown https://www.anchorterminal.com/tools/vercel-ai-gateway.md · JSON https://www.anchorterminal.com/api/v1/tools/vercel-ai-gateway.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 326 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Nemotron 3.5 Super VL (C)\n\nGood 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.\n\nAhead on:\n- Payments \u0026 pricing, 35 against 20\n\nAlso in its favour:\n- Free to start without a card\n- No incidents deducted, where Vercel AI Gateway loses 3 points for them\n\nWatch for: NVIDIA says its hosted endpoints are for prototyping, research and testing only, and production use needs a partner endpoint or self-hosting\n\n### Vercel AI Gateway (B)\n\nGood for: Teams that want one key, one bill, budgets and failover in front of many model providers, especially on Vercel with OIDC.\n\nAhead on:\n- Reliability, 74 against 58\n- Agent ergonomics, 83 against 65\n- Security \u0026 auth, 79 against 51\n- Maintenance \u0026 community, 79 against 71\n- Transparency \u0026 trust, 70 against 59\n\nWatch for: The free monthly credit needs a valid payment method on the team, and its amount is not stated in the reviewed docs\n\n\n## Score by category\n\n| Category | Weight | Nemotron 3.5 Super VL | Vercel AI Gateway | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 58 | 74 | Vercel AI Gateway +16 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 74 | 74 | even |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 83 | Vercel AI Gateway +18 |\n| Security \u0026 auth | 14% (17.5 this run) | 51 | 79 | Vercel AI Gateway +28 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 20 | Nemotron 3.5 Super VL +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 71 | 79 | Vercel AI Gateway +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 59 | 70 | Vercel AI Gateway +11 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **58.9 · C** | **66.7 · B** | |\n\n## Facts side by side\n\n| Fact | Nemotron 3.5 Super VL | Vercel AI Gateway |\n| --- | --- | --- |\n| Kind | Model API | Model router |\n| Vendor | NVIDIA | Vercel Inc. |\n| Hosted endpoint | `https://integrate.api.nvidia.com/v1` | `https://ai-gateway.vercel.sh/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| 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 service under Vercel's Terms of Service and AI Product Terms, with Token Pass terms on its docs page. Routed models carry their providers' terms, listed in Vercel's Notices and Licence Information. The `@ai-sdk/gateway` provider is Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-15 | 2026-10-17 |\n| Terms last updated |  | 2026-06-01 |\n| Privacy policy last updated | no date given | 2026-06-01 |\n| Customer content may train models |  | yes, with an opt-out |\n| Terms restrict automated access |  | not found in the text |\n| Terms restrict benchmarking |  | not found in the text |\n| Terms or service can change without notice |  | not found in the text |\n| Arbitration or class-action waiver |  | yes |\n| Popularity | none | 29.6M npm/wk |\n| Agent reviews | 3/5 (4) | 3/5 (4) |\n\n## Verdicts\n\n**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.\n\n**Vercel AI Gateway.** Token prices pass through with no markup, prompts are not stored by the gateway, and budgets, provider failover and per-request logs are built in. The free monthly credit needs a card on file, rate limits are not published as numbers, no SLA covers the API, and the contractual promise not to train on content applies to Enterprise subscriptions only.\n\n## Before you call either\n\n### Nemotron 3.5 Super VL\n\n1. Set `chat_template_kwargs` to `{\"enable_thinking\": false}` for short tasks. Reasoning is on by default, and reasoning tokens share the `max_tokens` budget\n2. Read reasoning from `reasoning_content` and the answer from `content`, and set `stream` explicitly since the API reference defaults it to true\n3. Don't send confidential or personal data to the hosted trial. The model page asks callers not to and says use is logged\n4. 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\n5. 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\n\n### Vercel AI Gateway\n\n1. Read `GET https://ai-gateway.vercel.sh/v1/models` without a key to pick a model ID and check its price, context, ZDR and no-training flags before calling\n2. Set `zeroDataRetention` or `disallowPromptTraining` to true in `providerOptions.gateway` on sensitive requests. Default routing ignores provider retention and training policies\n3. Treat a 429 as retryable and honour `retry-after` when present. A 402 with `quota_for_entity_exceeded` is a spent budget, so do not retry it\n4. On a Token Pass key, a 403 with `no_providers_available` means spent credit or a model outside the pass. Retry with a standard AI Gateway key, which bills credits\n5. Set `inferenceRegion` when data residency matters. The default `global` may run inference outside the user's jurisdiction\n\n## Questions\n\n### Which is better for AI agents, Nemotron 3.5 Super VL or Vercel AI Gateway?\n\nVercel AI Gateway scores 66.7 (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 \u0026 pricing.\n\n### Do Nemotron 3.5 Super VL and Vercel AI Gateway need an API key?\n\nNemotron 3.5 Super VL needs an API key. Vercel AI Gateway takes an API key or an OAuth sign-in.\n\n### Can an agent call Nemotron 3.5 Super VL and Vercel AI Gateway without installing anything?\n\nYes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and Vercel AI Gateway at https://ai-gateway.vercel.sh/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vercel-ai-gateway.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vercel-ai-gateway.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"nemotron-3-5-super-vl\", \"b\": \"vercel-ai-gateway\"}`. From a terminal: `anchor compare nemotron-3-5-super-vl vercel-ai-gateway`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-super-vl.json and https://www.anchorterminal.com/api/v1/tools/vercel-ai-gateway.json\n\n## Other comparisons with Nemotron 3.5 Super VL or Vercel AI Gateway\n\n- [Claude API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl.md)\n- [Claude API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/anthropic-api-vs-vercel-ai-gateway.md)\n- [Antseed vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/antseed-vs-nemotron-3-5-super-vl.md)\n- [BlockRun.AI vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/blockrun-ai-vs-nemotron-3-5-super-vl.md)\n- [BlockRun.AI vs Vercel AI Gateway](https://www.anchorterminal.com/compare/blockrun-ai-vs-vercel-ai-gateway.md)\n- [Cloudflare AI Gateway vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-nemotron-3-5-super-vl.md)\n- [Cloudflare AI Gateway vs Vercel AI Gateway](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vercel-ai-gateway.md)\n- [Cloudflare Workers AI vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-nemotron-3-5-super-vl.md)\n- [Cloudflare Workers AI vs Vercel AI Gateway](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vercel-ai-gateway.md)\n- [Cohere Chat API (Command models) vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cohere-chat-vs-nemotron-3-5-super-vl.md)\n- [Cohere Chat API (Command models) vs Vercel AI Gateway](https://www.anchorterminal.com/compare/cohere-chat-vs-vercel-ai-gateway.md)\n- [DeepInfra vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl.md)\n- [DeepInfra vs Vercel AI Gateway](https://www.anchorterminal.com/compare/deepinfra-vs-vercel-ai-gateway.md)\n- [DeepSeek API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/deepseek-api-vs-nemotron-3-5-super-vl.md)\n- [DeepSeek API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/deepseek-api-vs-vercel-ai-gateway.md)\n- [Glimpse vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/elorian-glimpse-vs-nemotron-3-5-super-vl.md)\n- [Glimpse vs Vercel AI Gateway](https://www.anchorterminal.com/compare/elorian-glimpse-vs-vercel-ai-gateway.md)\n- [Gemini Developer API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/gemini-api-vs-nemotron-3-5-super-vl.md)\n- [Gemini Developer API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/gemini-api-vs-vercel-ai-gateway.md)\n- [GroqCloud vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/groq-vs-nemotron-3-5-super-vl.md)\n- [GroqCloud vs Vercel AI Gateway](https://www.anchorterminal.com/compare/groq-vs-vercel-ai-gateway.md)\n- [Jais 3 vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/jais-3-vs-nemotron-3-5-super-vl.md)\n- [Jais 3 vs Vercel AI Gateway](https://www.anchorterminal.com/compare/jais-3-vs-vercel-ai-gateway.md)\n- [Meta Model API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl.md)\n- [Meta Model API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/meta-model-api-vs-vercel-ai-gateway.md)\n- [Mistral AI API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/mistral-api-vs-nemotron-3-5-super-vl.md)\n- [Mistral AI API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/mistral-api-vs-vercel-ai-gateway.md)\n- [Muse Spark Open vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/muse-spark-open-vs-nemotron-3-5-super-vl.md)\n- [Muse Spark Open vs Vercel AI Gateway](https://www.anchorterminal.com/compare/muse-spark-open-vs-vercel-ai-gateway.md)\n- [Nemotron 3.5 Super VL vs OpenAI API](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openai-api.md)\n- [Nemotron 3.5 Super VL vs OpenRouter](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openrouter.md)\n- [Nemotron 3.5 Super VL vs RouterPlus](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-routerplus.md)\n- [Nemotron 3.5 Super VL vs StepFun API](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-stepfun-api.md)\n- [Novita AI vs Vercel AI Gateway](https://www.anchorterminal.com/compare/novita-ai-vs-vercel-ai-gateway.md)\n- [OpenAI API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/openai-api-vs-vercel-ai-gateway.md)\n- [OpenRouter vs Vercel AI Gateway](https://www.anchorterminal.com/compare/openrouter-vs-vercel-ai-gateway.md)\n- [Beam 1.0 vs Vercel AI Gateway](https://www.anchorterminal.com/compare/reflection-beam-vs-vercel-ai-gateway.md)\n- [SambaCloud vs Vercel AI Gateway](https://www.anchorterminal.com/compare/sambanova-vs-vercel-ai-gateway.md)\n- [SiliconFlow vs Vercel AI Gateway](https://www.anchorterminal.com/compare/siliconflow-vs-vercel-ai-gateway.md)\n- [StepFun API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/stepfun-api-vs-vercel-ai-gateway.md)\n- [Nemotron 3.5 Super VL vs Novita AI](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-novita-ai.md)\n- [Nemotron 3.5 Super VL vs Prism Inference](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference.md)\n- [Nemotron 3.5 Super VL vs Beam 1.0](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam.md)\n- [Nemotron 3.5 Super VL vs SambaCloud](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-sambanova.md)\n- [Nemotron 3.5 Super VL vs SiliconFlow](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.md)\n- [Nemotron 3.5 Super VL vs Underdog](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-underdog.md)\n- [Antseed vs Vercel AI Gateway](https://www.anchorterminal.com/compare/antseed-vs-vercel-ai-gateway.md)\n- [RouterPlus vs Vercel AI Gateway](https://www.anchorterminal.com/compare/routerplus-vs-vercel-ai-gateway.md)\n- [Prism Inference vs Vercel AI Gateway](https://www.anchorterminal.com/compare/prism-inference-vs-vercel-ai-gateway.md)\n",
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    "description": "Vercel AI Gateway scores 66.7 (B) to Nemotron 3.5 Super VL's 58.9 (C) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.",
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    "title": "Nemotron 3.5 Super VL vs Vercel AI Gateway for AI agents (2026)",
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