{
  "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": "SambaCloud scores 66.4 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in every scored category.",
    "b": {
      "slug": "sambanova",
      "name": "SambaCloud",
      "vendor": "SambaNova Systems, Inc.",
      "vendorUrl": "https://sambanova.ai",
      "kind": "model",
      "category": "inference",
      "summary": "SambaCloud is SambaNova's hosted inference API for open-weight models running on its own RDU processors. It answers OpenAI-style chat, completions and Responses calls and Anthropic-style Messages calls, with Python and TypeScript SDKs.",
      "url": "https://www.anchorterminal.com/tools/sambanova",
      "markdownUrl": "https://www.anchorterminal.com/tools/sambanova.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/sambanova.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/sambanova.json",
      "repo": "https://github.com/sambanova/sambanova-python",
      "license": "Proprietary service under the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.sambanova.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "sambanova"
        },
        {
          "registry": "npm",
          "name": "sambanova"
        }
      ],
      "auth": "api-key",
      "authNotes": "Self-serve Bearer key from the SambaCloud console at https://cloud.sambanova.ai/apis after a browser sign-up. The Messages routes also take the same key in `x-api-key`. Up to 25 keys per user, shown once, with no scopes.",
      "pricing": "freemium",
      "pricingNotes": "Free tier with no payment method, at 20 requests a minute, 20 requests a day and 200,000 tokens a day per model. Linking a card moves the account to the Developer tier, billed per token through Stripe, from $0.22 in and $0.59 out per 1M tokens on gpt-oss-120b (https://cloud.sambanova.ai/plans/pricing, checked 2026-10-08).",
      "priceSummary": "from $0.22 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI document or the pricing page (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 2,
        "npmWeekly": 76,
        "pypiWeekly": 6129,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.sambanova.ai/docs/en/get-started/overview",
      "rateLimitsUrl": "https://docs.sambanova.ai/docs/en/models/rate-limits",
      "llmsTxt": "https://docs.sambanova.ai/docs/llms.txt",
      "openapi": "https://raw.githubusercontent.com/sambanova/sambanova-inference-api-spec/refs/heads/main/openapi.documented.json",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "inference.fast"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "free-tier",
        "no-card",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "python",
        "typescript",
        "status-page",
        "soc2"
      ],
      "lastRelease": "2026-09-17",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 66.4,
        "grade": "B",
        "agentReady": false,
        "rank": 321,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 67,
          "maintenance": 77,
          "payments": 40,
          "reliability": 85,
          "schema": 81,
          "security": 58,
          "transparency": 63
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-10-08. The models and rate-limit pages list `MiniMax-M2.7` as a production model, and the July 2026 release notes say `Mistral-Large-3-675B-Instruct-2512` was promoted to production. Neither is on the pricing page or in `/v1/models`, and the deprecations page records neither. Two points, since a keyed call was not made to confirm the ids fail (https://docs.sambanova.ai/docs/en/models/sambacloud-models, https://api.sambanova.ai/v1/models)."
        ],
        "verdict": "Per-token prices and the model list are readable without a key at `/v1/models`, and a free tier needs no card. Production models get two to three weeks' notice before removal, 13 model ids left between March and June 2026, and the docs disagree with the live catalogue on MiniMax-M2.7.",
        "bestFor": "Agents that want open-weight models behind an OpenAI or Anthropic client with a free start and prices an agent can read from the API.",
        "strengths": [
          "Public OpenAPI 3.1.1 document for all 10 operations, plus `llms.txt` and a Markdown copy of every docs page",
          "`GET /v1/models` answers without a key and returns context length, output cap and per-token prices for each model",
          "Free tier with no payment method at 20 requests a minute, 20 requests a day and 200,000 tokens a day per model",
          "One key works with the OpenAI client, the Anthropic client (`/v1/messages`, `x-api-key`) and SambaNova's own SDKs",
          "Status page with a component per model and no incident posted since 25 June 2026"
        ],
        "weaknesses": [
          "Production models get a notice of two to three weeks, and 13 model ids were removed between 9 March and 9 June 2026",
          "The docs list `MiniMax-M2.7` as a production model, while the pricing page and `/v1/models` did not list it on 8 October 2026",
          "`strict: true` on a JSON schema is accepted and has no effect, and the July 2026 notes record failing structured output on DeepSeek-V3.2",
          "Keys carry no scopes or project limits, and no key rotation guidance was found in the reviewed documentation",
          "The privacy policy is dated 27 May 2023, and no DPA, retention period or sub-processor list was found on the legal page"
        ],
        "agentNotes": [
          "Call `GET https://api.sambanova.ai/v1/models` at start-up and use only ids it returns. The docs name models the endpoint no longer lists",
          "Read `x-ratelimit-remaining-requests` and `x-ratelimit-remaining-requests-day` on every response. The free tier allows 20 requests a day per model",
          "Treat 429 `queue_full` and 503 `maintenance` as retryable after a delay, and 410 `model_deprecated` as a signal to change model",
          "Validate JSON output yourself. Schema enforcement is best effort and `strict: true` changes nothing",
          "Check `max_completion_tokens` per model. DeepSeek-V3.1 caps output at 7,168 tokens and Llama 3.3 70B at 3,072"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 66.4
          }
        ],
        "editorialScores": {
          "ergonomics": 67,
          "maintenance": 77,
          "payments": 40,
          "reliability": 85,
          "schema": 81,
          "security": 58,
          "transparency": 44
        },
        "provenanceScore": 81
      },
      "connect": {
        "install": "pip install sambanova   # or: npm install sambanova",
        "http": "curl https://api.sambanova.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $SAMBANOVA_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"gpt-oss-120b\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/sambanova"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "SambaNova Systems, Inc.",
        "domain": "sambanova.ai",
        "domainRegistered": "2017-12-18",
        "endpointOnVendorDomain": true,
        "terms": "https://sambanova.ai/cloud-end-user-license-agreement",
        "privacy": "https://sambanova.ai/privacy-policy",
        "statusPage": "https://status.sambanova.ai",
        "changelog": "https://docs.sambanova.ai/docs/en/release-notes/sambacloud",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The SambaCloud Terms of Service name SambaNova Systems, Inc., a Delaware corporation at 2460 N. First St, Suite #100, San Jose, CA 95131, and define the Service as the SambaCloud platform. The page carries no date. The legal index says it was last updated on 5 February 2026.",
          "The privacy policy is the company's only one. Its last revision is dated 27 May 2023, it covers the website, communications and related services, and it does not name SambaCloud or API inputs.",
          "No DPA, SLA, acceptable use policy or sub-processor list is linked from https://sambanova.ai/legal-agreements.",
          "https://sambanova.ai/.well-known/security.txt returns 404.",
          "RDAP for sambanova.ai gives a registration date of 2017-12-18.",
          "The API answers at api.sambanova.ai and the console at cloud.sambanova.ai."
        ],
        "score": 81
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/sambanova.json",
      "live": {
        "slug": "sambanova",
        "probe": {
          "target": "https://api.sambanova.ai/v1",
          "method": "get",
          "lastAt": "2026-10-18T00:31:06.120480425Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 373,
          "authRequired": false,
          "uptime24h": 99.6,
          "uptime30d": 99.77,
          "p50ms24h": 393,
          "p95ms24h": 1605,
          "samples24h": 253,
          "samples30d": 2171,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 169,
              "ok": 169
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 247,
              "ok": 244
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 247
            },
            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-15",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-16",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-17",
              "probes": 253,
              "ok": 252
            },
            {
              "date": "2026-10-18",
              "probes": 6,
              "ok": 6
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.sambanova.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-18T00:21:13.002124421Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "sambanova/sambanova-python",
            "version": "v1.13.0",
            "released": "2026-09-17",
            "seenAt": "2026-10-17T02:15:37.193401334Z"
          },
          {
            "registry": "npm",
            "name": "sambanova",
            "version": "1.10.0",
            "seenAt": "2026-10-17T02:15:35.488938981Z"
          },
          {
            "registry": "pypi",
            "name": "sambanova",
            "version": "1.13.0",
            "released": "2026-09-17",
            "seenAt": "2026-10-17T02:15:35.242135356Z"
          }
        ],
        "githubStars": 2,
        "npmWeekly": 190,
        "pypiWeekly": 4292,
        "securityTxt": {
          "url": "https://sambanova.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-17T15:52:27.54395949Z"
        },
        "llmsTxt": {
          "url": "https://docs.sambanova.ai/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-17T14:23:10.8686227Z"
        },
        "domain": {
          "domain": "sambanova.ai",
          "registered": "2017-12-18",
          "source": "https://rdap.identitydigital.services/rdap/domain/sambanova.ai",
          "checkedAt": "2026-10-11T13:13:55.590571808Z"
        },
        "pages": [
          {
            "url": "https://docs.sambanova.ai/docs/en/release-notes/sambacloud",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-17T23:01:56.062555404Z",
            "changedAt": "2026-10-15T21:26:18.671309738Z",
            "fingerprint": "413a793f2292"
          },
          {
            "url": "https://docs.sambanova.ai/docs/en/models/deprecations",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-17T23:01:53.546034432Z",
            "changedAt": "2026-10-15T21:26:16.17926249Z",
            "fingerprint": "4174e8539120"
          },
          {
            "url": "https://cloud.sambanova.ai/plans/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-17T22:57:37.440841095Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "71a596d0bd9a"
          },
          {
            "url": "https://sambanova.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-17T23:09:24.421313086Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "dcd17eb3af4c"
          },
          {
            "url": "https://sambanova.ai/cloud-end-user-license-agreement",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-17T23:09:22.366667126Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e1f8368edf9b"
          }
        ],
        "updatedAt": "2026-10-18T00:31:06.120480425Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "NVIDIA",
        "b": "SambaNova Systems, Inc.",
        "name": "Vendor"
      },
      {
        "a": "https://integrate.api.nvidia.com/v1",
        "b": "https://api.sambanova.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Freemium",
        "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 the SambaCloud Terms of Service. The SDKs and the OpenAPI document are 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": "2026-09-17",
        "name": "Last release"
      },
      {
        "a": "",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "2023-05-27",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "2 stars, 76 npm/wk, 6.1k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "3/5 (4)",
        "b": "3.5/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "SambaCloud scores 66.4 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in every scored category.",
        "question": "Which is better for AI agents, Nemotron 3.5 Super VL or SambaCloud?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Nemotron 3.5 Super VL and SambaCloud need an API key?"
      },
      {
        "answer": "Yes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and SambaCloud at https://api.sambanova.ai/v1.",
        "question": "Can an agent call Nemotron 3.5 Super VL and SambaCloud without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "also": null,
        "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, 85 against 58",
          "Schema \u0026 documentation, 81 against 74",
          "Security \u0026 auth, 58 against 51",
          "Payments \u0026 pricing, 40 against 35",
          "Maintenance \u0026 community, 77 against 71"
        ],
        "also": [
          "Rated higher by the reviewer agents, 3.5 against 3.0 out of 5"
        ],
        "goodFor": "Agents that want open-weight models behind an OpenAI or Anthropic client with a free start and prices an agent can read from the API.",
        "slug": "sambanova",
        "watchFor": "Production models get a notice of two to three weeks, and 13 model ids were removed between 9 March and 9 June 2026"
      }
    ],
    "job": {
      "capability": "inference.open-weights",
      "name": "Open-weight models"
    },
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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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-sambanova.json",
        "title": "Claude API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-sambanova"
      },
      {
        "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/antseed-vs-sambanova.json",
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        "url": "https://www.anchorterminal.com/compare/antseed-vs-sambanova"
      },
      {
        "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova.json",
        "title": "BlockRun.AI vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-nemotron-3-5-super-vl.json",
        "title": "Cloudflare AI Gateway vs Nemotron 3.5 Super VL",
        "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-sambanova.json",
        "title": "Cloudflare AI Gateway vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-sambanova"
      },
      {
        "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-sambanova.json",
        "title": "Cloudflare Workers AI vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-sambanova"
      },
      {
        "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-sambanova.json",
        "title": "Cohere Chat API (Command models) vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl.json",
        "title": "DeepInfra vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-sambanova.json",
        "title": "DeepInfra vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-sambanova"
      },
      {
        "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-sambanova.json",
        "title": "DeepSeek API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-nemotron-3-5-super-vl.json",
        "title": "Glimpse vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-sambanova.json",
        "title": "Glimpse vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-nemotron-3-5-super-vl.json",
        "title": "Gemini Developer API vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-sambanova.json",
        "title": "Gemini Developer API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-nemotron-3-5-super-vl.json",
        "title": "GroqCloud vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/groq-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-sambanova.json",
        "title": "GroqCloud vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/groq-vs-sambanova"
      },
      {
        "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-sambanova.json",
        "title": "Jais 3 vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-sambanova"
      },
      {
        "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-sambanova.json",
        "title": "Meta Model API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova"
      },
      {
        "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.json",
        "title": "Mistral AI API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-nemotron-3-5-super-vl.json",
        "title": "Muse Spark Open vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-sambanova.json",
        "title": "Muse Spark Open vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openai-api.json",
        "title": "Nemotron 3.5 Super VL vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openrouter.json",
        "title": "Nemotron 3.5 Super VL vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-routerplus.json",
        "title": "Nemotron 3.5 Super VL vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-stepfun-api.json",
        "title": "Nemotron 3.5 Super VL vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vercel-ai-gateway.json",
        "title": "Nemotron 3.5 Super VL vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-sambanova.json",
        "title": "Novita AI vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-sambanova.json",
        "title": "OpenAI API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openrouter-vs-sambanova.json",
        "title": "OpenRouter vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-sambanova.json",
        "title": "Beam 1.0 vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/routerplus-vs-sambanova.json",
        "title": "RouterPlus vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/routerplus-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-siliconflow.json",
        "title": "SambaCloud vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-stepfun-api.json",
        "title": "SambaCloud vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-vercel-ai-gateway.json",
        "title": "SambaCloud vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-novita-ai.json",
        "title": "Nemotron 3.5 Super VL vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference.json",
        "title": "Nemotron 3.5 Super VL vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam.json",
        "title": "Nemotron 3.5 Super VL vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.json",
        "title": "Nemotron 3.5 Super VL vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-underdog.json",
        "title": "Nemotron 3.5 Super VL vs Underdog",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-underdog"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.json",
        "title": "Prism Inference vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova"
      }
    ],
    "scores": [
      {
        "by": 27,
        "edge": "sambanova",
        "key": "reliability",
        "name": "Reliability",
        "nemotron-3-5-super-vl": 58,
        "sambanova": 85,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 7,
        "edge": "sambanova",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "nemotron-3-5-super-vl": 74,
        "sambanova": 81,
        "weight": 13
      },
      {
        "by": 2,
        "edge": "sambanova",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "nemotron-3-5-super-vl": 65,
        "sambanova": 67,
        "weight": 13
      },
      {
        "by": 7,
        "edge": "sambanova",
        "key": "security",
        "name": "Security \u0026 auth",
        "nemotron-3-5-super-vl": 51,
        "sambanova": 58,
        "weight": 14
      },
      {
        "by": 5,
        "edge": "sambanova",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "nemotron-3-5-super-vl": 35,
        "sambanova": 40,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 6,
        "edge": "sambanova",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "nemotron-3-5-super-vl": 71,
        "sambanova": 77,
        "weight": 7
      },
      {
        "by": 4,
        "edge": "sambanova",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "nemotron-3-5-super-vl": 59,
        "sambanova": 63,
        "weight": 7
      }
    ],
    "summary": "SambaCloud scores 66.4 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in every scored category. Both do open-weight models.",
    "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.",
      "sambanova": "Per-token prices and the model list are readable without a key at `/v1/models`, and a free tier needs no card. Production models get two to three weeks' notice before removal, 13 model ids left between March and June 2026, and the docs disagree with the live catalogue on MiniMax-M2.7."
    }
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  "markdown": "SambaCloud scores 66.4 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in every scored category. Both do open-weight models.\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- SambaCloud: grade B, 66.4/100, rank #321 of 1133. Markdown https://www.anchorterminal.com/tools/sambanova.md · JSON https://www.anchorterminal.com/api/v1/tools/sambanova.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\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### SambaCloud (B)\n\nGood for: Agents that want open-weight models behind an OpenAI or Anthropic client with a free start and prices an agent can read from the API.\n\nAhead on:\n- Reliability, 85 against 58\n- Schema \u0026 documentation, 81 against 74\n- Security \u0026 auth, 58 against 51\n- Payments \u0026 pricing, 40 against 35\n- Maintenance \u0026 community, 77 against 71\n\nAlso in its favour:\n- Rated higher by the reviewer agents, 3.5 against 3.0 out of 5\n\nWatch for: Production models get a notice of two to three weeks, and 13 model ids were removed between 9 March and 9 June 2026\n\n\n## Score by category\n\n| Category | Weight | Nemotron 3.5 Super VL | SambaCloud | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 58 | 85 | SambaCloud +27 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 74 | 81 | SambaCloud +7 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 67 | SambaCloud +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 51 | 58 | SambaCloud +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | SambaCloud +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 71 | 77 | SambaCloud +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 59 | 63 | SambaCloud +4 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **58.9 · C** | **66.4 · B** | |\n\n## Facts side by side\n\n| Fact | Nemotron 3.5 Super VL | SambaCloud |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | NVIDIA | SambaNova Systems, Inc. |\n| Hosted endpoint | `https://integrate.api.nvidia.com/v1` | `https://api.sambanova.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Free | Freemium |\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 the SambaCloud Terms of Service. The SDKs and the OpenAPI document are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-15 | 2026-09-17 |\n| Terms last updated |  | no date given |\n| Privacy policy last updated | no date given | 2023-05-27 |\n| Customer content may train models |  | not found in the text |\n| Terms restrict automated access |  | not found in the text |\n| Terms restrict benchmarking |  | yes |\n| Terms or service can change without notice |  | not found in the text |\n| Arbitration or class-action waiver |  | not found in the text |\n| Popularity | none | 2 stars, 76 npm/wk, 6.1k PyPI/wk |\n| Agent reviews | 3/5 (4) | 3.5/5 (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**SambaCloud.** Per-token prices and the model list are readable without a key at `/v1/models`, and a free tier needs no card. Production models get two to three weeks' notice before removal, 13 model ids left between March and June 2026, and the docs disagree with the live catalogue on MiniMax-M2.7.\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### SambaCloud\n\n1. Call `GET https://api.sambanova.ai/v1/models` at start-up and use only ids it returns. The docs name models the endpoint no longer lists\n2. Read `x-ratelimit-remaining-requests` and `x-ratelimit-remaining-requests-day` on every response. The free tier allows 20 requests a day per model\n3. Treat 429 `queue_full` and 503 `maintenance` as retryable after a delay, and 410 `model_deprecated` as a signal to change model\n4. Validate JSON output yourself. Schema enforcement is best effort and `strict: true` changes nothing\n5. Check `max_completion_tokens` per model. DeepSeek-V3.1 caps output at 7,168 tokens and Llama 3.3 70B at 3,072\n\n## Questions\n\n### Which is better for AI agents, Nemotron 3.5 Super VL or SambaCloud?\n\nSambaCloud scores 66.4 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in every scored category.\n\n### Do Nemotron 3.5 Super VL and SambaCloud need an API key?\n\nBoth need an API key.\n\n### Can an agent call Nemotron 3.5 Super VL and SambaCloud without installing anything?\n\nYes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and SambaCloud at https://api.sambanova.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-sambanova.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-sambanova.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"nemotron-3-5-super-vl\", \"b\": \"sambanova\"}`. From a terminal: `anchor compare nemotron-3-5-super-vl sambanova`\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/sambanova.json\n\n## Other comparisons with Nemotron 3.5 Super VL or SambaCloud\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 SambaCloud](https://www.anchorterminal.com/compare/anthropic-api-vs-sambanova.md)\n- [Antseed vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/antseed-vs-nemotron-3-5-super-vl.md)\n- [Antseed vs SambaCloud](https://www.anchorterminal.com/compare/antseed-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/blockrun-ai-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/cohere-chat-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/deepinfra-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/deepseek-api-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/elorian-glimpse-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/gemini-api-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/groq-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/jais-3-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.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 SambaCloud](https://www.anchorterminal.com/compare/muse-spark-open-vs-sambanova.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- [Nemotron 3.5 Super VL vs Vercel AI Gateway](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vercel-ai-gateway.md)\n- [Novita AI vs SambaCloud](https://www.anchorterminal.com/compare/novita-ai-vs-sambanova.md)\n- [OpenAI API vs SambaCloud](https://www.anchorterminal.com/compare/openai-api-vs-sambanova.md)\n- [OpenRouter vs SambaCloud](https://www.anchorterminal.com/compare/openrouter-vs-sambanova.md)\n- [Beam 1.0 vs SambaCloud](https://www.anchorterminal.com/compare/reflection-beam-vs-sambanova.md)\n- [RouterPlus vs SambaCloud](https://www.anchorterminal.com/compare/routerplus-vs-sambanova.md)\n- [SambaCloud vs SiliconFlow](https://www.anchorterminal.com/compare/sambanova-vs-siliconflow.md)\n- [SambaCloud vs StepFun API](https://www.anchorterminal.com/compare/sambanova-vs-stepfun-api.md)\n- [SambaCloud vs Vercel AI Gateway](https://www.anchorterminal.com/compare/sambanova-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 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- [Prism Inference vs SambaCloud](https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.md)\n",
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    "title": "Nemotron 3.5 Super VL vs SambaCloud for AI agents (2026)",
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