{
  "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": "from $0.15 / 1M in",
      "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": 59,
        "grade": "C",
        "agentReady": false,
        "rank": 644,
        "ranked": true,
        "rankOf": 1221,
        "categoryRank": 18,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 65,
          "maintenance": 71,
          "payments": 35,
          "reliability": 58,
          "schema": 74,
          "security": 51,
          "transparency": 60
        },
        "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": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 59
          }
        ],
        "editorialScores": {
          "ergonomics": 65,
          "maintenance": 71,
          "payments": 35,
          "reliability": 58,
          "schema": 74,
          "security": 51,
          "transparency": 38
        },
        "provenanceScore": 82,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-17",
            "maintenance": "2026-10-17",
            "payments": "2026-10-17",
            "reliability": "2026-10-17",
            "schema": "2026-10-17",
            "security": "2026-10-17",
            "transparency": "2026-10-17"
          },
          "last": "2026-10-17",
          "lastMoved": "2026-10-27",
          "oldest": "2026-10-17",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "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",
        "nemotron-3-5-asr-streaming-0-6b",
        "parakeet-tdt-0-6b-v3",
        "nemotron-3-5-parse",
        "cosmos-reason2-2b",
        "nemotron-3-5-bolt-e4b-4gb",
        "nemotron-3-nano-30b-a3b",
        "nemotron-3-nano-4b",
        "nemotron-3-nano-omni-30b-a3b-reasoning",
        "nemotron-3-super-120b-a12b",
        "nemotron-3-ultra-550b-a55b",
        "nemotron-3-5-lightning-30b-a3b"
      ],
      "family": {
        "lab": "NVIDIA (Nemotron)",
        "family": "Nemotron 3",
        "url": "https://www.anchorterminal.com/open-weights/#nvidia",
        "others": [
          {
            "name": "Nemotron 3 Nano 30B-A3B",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16",
            "params": "30B total, 3B active (31.6B per the safetensors index)",
            "listing": "https://www.anchorterminal.com/tools/nemotron-3-nano-30b-a3b"
          },
          {
            "name": "Nemotron 3 Nano 30B-A3B Base",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16",
            "params": "30B total, 3B active"
          },
          {
            "name": "Nemotron 3 Super 120B-A12B",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16",
            "params": "120B total, 12B active",
            "listing": "https://www.anchorterminal.com/tools/nemotron-3-super-120b-a12b"
          },
          {
            "name": "Nemotron 3 Super 120B-A12B Base",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16",
            "params": "120B total, 12B active"
          },
          {
            "name": "Nemotron 3 Nano 4B",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16",
            "params": "4B",
            "listing": "https://www.anchorterminal.com/tools/nemotron-3-nano-4b"
          },
          {
            "name": "Nemotron 3 Nano Omni 30B-A3B Reasoning",
            "url": "https://huggingface.co/nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16",
            "params": "30B total, 3B active",
            "listing": "https://www.anchorterminal.com/tools/nemotron-3-nano-omni-30b-a3b-reasoning"
          },
          {
            "name": "Nemotron 3 Ultra 550B-A55B",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16",
            "params": "550B total, 55B active",
            "listing": "https://www.anchorterminal.com/tools/nemotron-3-ultra-550b-a55b"
          },
          {
            "name": "Nemotron 3 Ultra 550B-A55B Base",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-Base-BF16",
            "params": "550B total, 55B active"
          },
          {
            "name": "Nemotron 3 Ultra 550B-A55B GenRM",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-GenRM",
            "params": "550B total, 55B active"
          },
          {
            "name": "Nemotron 3.5 Lightning 30B-A3B",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16",
            "params": "30B total, 3B active",
            "listing": "https://www.anchorterminal.com/tools/nemotron-3-5-lightning-30b-a3b"
          },
          {
            "name": "Nemotron 3.5 Lightning 30B-A3B Base",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Base-BF16",
            "params": "30B total, 3B active"
          },
          {
            "name": "Nemotron 3.5 Super VL 120B-A12B Base",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16",
            "params": "120B total, 12B active"
          },
          {
            "name": "Nemotron 3.5 Bolt 74B-A9B",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16",
            "params": "74B total, 9B active"
          },
          {
            "name": "Nemotron 3.5 Bolt E4B 4GB",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB",
            "params": "8B total, 4B effective",
            "listing": "https://www.anchorterminal.com/tools/nemotron-3-5-bolt-e4b-4gb"
          },
          {
            "name": "Nemotron Labs 3 Elastic 30B-A3B",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-3-Elastic-30B-A3B-BF16",
            "params": "30B total, 3B active"
          },
          {
            "name": "Nemotron Labs 3 Puzzle 75B-A9B",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-BF16",
            "params": "75B total, 9B active"
          },
          {
            "name": "Nemotron 3 Labs Ultra Math SFT",
            "url": "https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-SFT",
            "params": "550B total, 55B active"
          },
          {
            "name": "Nemotron 3 Labs Ultra Math RL",
            "url": "https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-RL",
            "params": "550B total, 55B active"
          },
          {
            "name": "Nemotron Labs 3 Competitive Coding 550B-A55B",
            "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-Labs-3-Competitive-Coding-550B-A55B-NVFP4",
            "params": "550B total, 55B active"
          },
          {
            "name": "nemotron-3.5-asr-streaming-0.6b",
            "url": "https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b",
            "params": "0.6B (638M per the safetensors count)",
            "listing": "https://www.anchorterminal.com/tools/nemotron-3-5-asr-streaming-0-6b"
          },
          {
            "name": "Nemotron 3.5 Parse",
            "url": "https://huggingface.co/nvidia/Nemotron-3.5-Parse",
            "params": "0.631B (630,800,496 trainable parameters per the card)",
            "listing": "https://www.anchorterminal.com/tools/nemotron-3-5-parse"
          }
        ],
        "olderCount": 47,
        "unrestrictedCopies": 4
      },
      "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": 82
      },
      "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": "2026-10-28T05:40:57.79775636Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 49,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 49,
          "p95ms24h": 71,
          "samples24h": 251,
          "samples30d": 2600,
          "days": [
            {
              "date": "2026-10-17",
              "probes": 21,
              "ok": 21
            },
            {
              "date": "2026-10-18",
              "probes": 256,
              "ok": 256
            },
            {
              "date": "2026-10-19",
              "probes": 255,
              "ok": 255
            },
            {
              "date": "2026-10-20",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-21",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-22",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-23",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-24",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-25",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-26",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-27",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-28",
              "probes": 60,
              "ok": 60
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.ngc.nvidia.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-28T05:32:22.356309959Z"
        },
        "versions": [
          {
            "registry": "pypi",
            "name": "langchain-nvidia-ai-endpoints",
            "version": "1.5.0",
            "released": "2026-10-14",
            "seenAt": "2026-10-27T11:18:10.448760698Z"
          }
        ],
        "pypiWeekly": 150702,
        "securityTxt": {
          "url": "https://nvidia.com/.well-known/security.txt",
          "state": "unknown",
          "checkedAt": "2026-10-27T15:32:31.101637335Z"
        },
        "llmsTxt": {
          "url": "https://build.nvidia.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-27T14:58:42.794904538Z"
        },
        "domain": {
          "domain": "nvidia.com",
          "registered": "1993-04-20",
          "source": "https://rdap.verisign.com/com/v1/domain/nvidia.com",
          "checkedAt": "2026-10-25T13:52:20.255128079Z"
        },
        "models": {
          "nvidia/nemotron-3.5-super-vl": {
            "openrouterId": "nvidia/nemotron-3.5-super-vl",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "image",
              "text",
              "video"
            ],
            "promptCaching": true,
            "contextTokens": 1048576,
            "maxOutput": 235929,
            "checkedAt": "2026-10-27T23:49:19.214234221Z"
          }
        },
        "updatedAt": "2026-10-28T05:40:57.79775636Z"
      }
    },
    "answer": "Nemotron 3.5 Super VL scores 59 (C) on agent readiness against Simplismart's 29.7 (F), and leads in every scored category.",
    "b": {
      "slug": "simplismart",
      "name": "Simplismart",
      "vendor": "Verute Technologies Private Limited",
      "vendorUrl": "https://simplismart.ai",
      "kind": "http-api",
      "category": "inference",
      "summary": "Simplismart is an inference platform for open models. It runs 150+ models on shared pay-per-token endpoints with an OpenAI-compatible API, and handles dedicated GPU deployments, bring-your-own-cloud clusters and fine-tuning jobs.",
      "url": "https://www.anchorterminal.com/tools/simplismart",
      "markdownUrl": "https://www.anchorterminal.com/tools/simplismart.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/simplismart.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/simplismart.json",
      "license": "Proprietary hosted service. The community Pipecat integration (pipecat-simplismart, by the simpli-smart GitHub account) is BSD-2-Clause; served models keep their own licences.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.simplismart.live",
      "packages": [
        {
          "registry": "pypi",
          "name": "simplismart-sdk"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API keys made under Settings, API Keys. Each key has a unique name and an expiry chosen at creation; non-expiring keys need a request to support. Keys return 401 after midnight UTC on the expiry date and can be deleted at once. The Python SDK and CLI use a separate Playground token. Organisation roles are Admin, Member and Billing User, and workspaces scope models and deployments.",
      "pricing": "usage",
      "pricingNotes": "Shared endpoints are priced per 1M tokens, per image or per audio minute, such as Llama 3.1 8B at $0.13 and DeepSeek-V3 at $0.90 per 1M tokens. Dedicated GPUs run from $1.20 (T4) to $5.20 (H200) per GPU-hour. Prepaid credits at $1 each; new organisations may receive $5 of free credits.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs (llms.txt index, billing, API keys and API reference pages) or on the pricing page, checked 28 October 2026. Credits are bought by card, UPI or netbanking, or billed postpaid.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-28"
      },
      "docsUrl": "https://docs.simplismart.ai",
      "llmsTxt": "https://docs.simplismart.ai/llms.txt",
      "openapi": "https://docs.simplismart.ai/openapi-specs/playground/llama-8b.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "speech.stt",
        "image.generate",
        "compute.endpoints",
        "finetune.sft",
        "finetune.lora",
        "finetune.preference",
        "finetune.rl"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "usage-based",
        "openai-compatible",
        "openapi",
        "llms-txt",
        "python",
        "dedicated-endpoints",
        "byoc",
        "fine-tuning"
      ],
      "lastRelease": "2026-10-19",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 29.7,
        "grade": "F",
        "agentReady": false,
        "rank": 1146,
        "ranked": true,
        "rankOf": 1221,
        "categoryRank": 32,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 17,
          "maintenance": 42,
          "payments": 25,
          "reliability": 15,
          "schema": 51,
          "security": 35,
          "transparency": 31
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-28"
        },
        "negative": 0,
        "verdict": "Simplismart exposes open models through an OpenAI-compatible endpoint with public per-token prices and expiring, revocable keys. Its public docs give no request rate limits, status page, retry guidance, tool-calling or structured-output reference, and its terms and privacy policy cover the website, not API data.",
        "bestFor": "Teams that want open models on a pay-per-token OpenAI-compatible endpoint and a path to dedicated GPUs, their own cloud or fine-tuning with one vendor, and can work without published rate limits or data-handling terms.",
        "strengths": [
          "Public per-unit prices without a login, such as Llama 3.1 8B at $0.13 per 1M tokens and Whisper v3 Turbo at $0.0018 per audio minute",
          "API keys are named, carry an expiry date chosen at creation, return 401 after expiry and can be deleted at once",
          "Markdown docs and an llms.txt index, with OpenAPI 3.1 files for seven LLMs, Whisper and Flux",
          "Shared endpoints, dedicated GPU deployments and bring-your-own-cloud clusters sit on one account, with workspaces and organisation roles"
        ],
        "weaknesses": [
          "No request or token rate limits, 429 handling or retry guidance found in the docs; only GPU quotas, given as 1 and as 8 H100s on two pages",
          "No status page, incident history or SLA document found; the 99.99% uptime figure is a homepage claim",
          "Tool calling, structured output, prompt caching and context lengths are not documented for the shared endpoints",
          "The terms (13 January 2023) and privacy policy cover the website and say nothing about prompt retention or training on API data",
          "The pricing page lists older models (Llama 3.1, DeepSeek-R1) and omits Gemma 4 31B, the model the quickstart uses"
        ],
        "agentNotes": [
          "Point an OpenAI-compatible client at https://api.simplismart.live with SIMPLISMART_API_KEY as a Bearer token, and take model ids from the marketplace or the per-model API pages.",
          "Set a key expiry and rotate before midnight UTC on the expiry date, because an expired key returns 401.",
          "Cap retries yourself with exponential backoff, because no rate limits, 429 format or retry guidance are published.",
          "Check that a model supports tools or JSON output with a test call before relying on it, because neither is documented.",
          "Confirm the per-token price of the exact model in the console before running large jobs, because the public price list is incomplete."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "F",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 29.7
          }
        ],
        "editorialScores": {
          "ergonomics": 17,
          "maintenance": 42,
          "payments": 25,
          "reliability": 15,
          "schema": 51,
          "security": 35,
          "transparency": 14
        },
        "provenanceScore": 48,
        "checked": {
          "categories": {
            "ergonomics": "2026-10-28",
            "maintenance": "2026-10-28",
            "payments": "2026-10-28",
            "reliability": "2026-10-28",
            "schema": "2026-10-28",
            "security": "2026-10-28",
            "transparency": "2026-10-28"
          },
          "last": "2026-10-28",
          "oldest": "2026-10-28",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl 'https://api.simplismart.live/chat/completions' -H 'Content-Type: application/json' -H \"Authorization: Bearer $SIMPLISMART_API_KEY\" -d '{\"model\": \"meta-llama/Meta-Llama-3.1-8B-Instruct\", \"messages\": [{\"role\": \"user\", \"content\": \"Say hello.\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/simplismart"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Llama 3.1 8B (shared)",
          "unit": "1m-tokens",
          "usd": 0.13,
          "note": "Single per-1M-token rate on the pricing page, checked 28 October 2026; input and output are not priced separately"
        },
        {
          "item": "Llama 3.3 70B (shared)",
          "unit": "1m-tokens",
          "usd": 0.74,
          "note": "Pricing page, checked 28 October 2026"
        },
        {
          "item": "DeepSeek-V3 (shared)",
          "unit": "1m-tokens",
          "usd": 0.9,
          "note": "Pricing page, checked 28 October 2026"
        },
        {
          "item": "Whisper v3 Turbo (shared)",
          "unit": "audio-minute",
          "usd": 0.0018,
          "note": "Pricing page, checked 28 October 2026"
        },
        {
          "item": "Flux Dev (shared, 1024x1024)",
          "unit": "image",
          "usd": 0.03,
          "note": "Pricing page, checked 28 October 2026"
        },
        {
          "item": "NVIDIA H100, dedicated",
          "unit": "gpu-hour",
          "usd": 5,
          "note": "Pricing page table order, checked 28 October 2026; a Simplismart article gives $4.00 per hour"
        }
      ],
      "provenance": {
        "legalEntity": "Verute Technologies Private Limited",
        "domain": "simplismart.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": false,
        "terms": "https://simplismart.ai/terms-of-service",
        "privacy": "https://simplismart.ai/privacy-policy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-28",
        "notes": [
          "The terms (last updated 13 January 2023) and privacy policy (effective 13 January 2023) name Verute Technologies Private Limited, Indian law and an address on Residency Road, Bengaluru. Both define the Service as the simplismart.ai website.",
          "The inference API answers on api.simplismart.live, a separate domain named in the docs. Domain registration was not checked.",
          "No status page found. The docs and site link none, and status.simplismart.ai could not be reached from our network.",
          "No changelog found in the docs sitemap or llms.txt. Model additions appear as blog posts.",
          "simplismart.ai/.well-known/security.txt answered 404."
        ],
        "score": 48
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/simplismart.json",
      "live": {
        "slug": "simplismart",
        "probe": {
          "target": "https://api.simplismart.live",
          "method": "get",
          "lastAt": "2026-10-28T05:41:06.267913122Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 53,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 55,
          "p95ms24h": 125,
          "samples24h": 18,
          "samples30d": 18,
          "days": [
            {
              "date": "2026-10-28",
              "probes": 18,
              "ok": 18
            }
          ]
        },
        "pages": [
          {
            "url": "https://simplismart.ai/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-28T04:43:26.224508402Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "bd2d6d5ffe37"
          },
          {
            "url": "https://simplismart.ai/terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-28T04:43:28.253583075Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "94fe8807daf7"
          }
        ],
        "updatedAt": "2026-10-28T05:41:06.267913122Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "NVIDIA",
        "b": "Verute Technologies Private Limited",
        "name": "Vendor"
      },
      {
        "a": "https://integrate.api.nvidia.com/v1",
        "b": "https://api.simplismart.live",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API 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 hosted service. The community Pipecat integration (pipecat-simplismart, by the simpli-smart GitHub account) is BSD-2-Clause; served models keep their own licences.",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-15",
        "b": "2026-10-19",
        "name": "Last release"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "no date given",
        "b": "",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "3/5 (4)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Nemotron 3.5 Super VL scores 59 (C) on agent readiness against Simplismart's 29.7 (F), and leads in every scored category.",
        "question": "Which is better for AI agents, Nemotron 3.5 Super VL or Simplismart?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Nemotron 3.5 Super VL and Simplismart need an API key?"
      },
      {
        "answer": "Yes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and Simplismart at https://api.simplismart.live.",
        "question": "Can an agent call Nemotron 3.5 Super VL and Simplismart without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 58 against 15",
          "Schema \u0026 documentation, 74 against 51",
          "Agent ergonomics, 65 against 17",
          "Security \u0026 auth, 51 against 35",
          "Payments \u0026 pricing, 35 against 25",
          "Maintenance \u0026 community, 71 against 42",
          "Transparency \u0026 trust, 60 against 31"
        ],
        "also": [
          "Free to start without a card"
        ],
        "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": null,
        "also": null,
        "goodFor": "Teams that want open models on a pay-per-token OpenAI-compatible endpoint and a path to dedicated GPUs, their own cloud or fine-tuning with one vendor, and can work without published rate limits or data-handling terms.",
        "slug": "simplismart",
        "watchFor": "No request or token rate limits, 429 handling or retry guidance found in the docs; only GPU quotas, given as 1 and as 8 H100s on two pages"
      }
    ],
    "job": {
      "capability": "inference.open-weights",
      "name": "Open-weight models"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl.json",
        "title": "Claude API vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-simplismart.json",
        "title": "Claude API vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-simplismart"
      },
      {
        "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-simplismart.json",
        "title": "Antseed vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-simplismart"
      },
      {
        "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-simplismart.json",
        "title": "BlockRun.AI vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.json",
        "title": "Cerebras Inference vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-simplismart.json",
        "title": "Cerebras Inference vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-simplismart"
      },
      {
        "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-simplismart.json",
        "title": "Cloudflare AI Gateway vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-simplismart"
      },
      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-simplismart.json",
        "title": "Cloudflare Workers AI vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-simplismart"
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      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-simplismart.json",
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        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-simplismart"
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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-simplismart.json",
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        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-simplismart"
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      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-nemotron-3-5-super-vl.json",
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        "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-simplismart.json",
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        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-simplismart"
      },
      {
        "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-simplismart.json",
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        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-nemotron-3-5-super-vl.json",
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        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-nemotron-3-5-super-vl"
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      {
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        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-simplismart"
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      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-nemotron-3-5-super-vl.json",
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        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-nemotron-3-5-super-vl"
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      {
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        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-simplismart"
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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-simplismart.json",
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        "url": "https://www.anchorterminal.com/compare/groq-vs-simplismart"
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      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-nemotron-3-5-super-vl.json",
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        "url": "https://www.anchorterminal.com/compare/jais-3-vs-nemotron-3-5-super-vl"
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        "url": "https://www.anchorterminal.com/compare/jais-3-vs-simplismart"
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      {
        "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl.json",
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        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl"
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        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-simplismart.json",
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        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-simplismart"
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        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-nemotron-3-5-super-vl"
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      {
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        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-simplismart"
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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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      {
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        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openai-api.json",
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        "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-ramp-router.json",
        "title": "Nemotron 3.5 Super VL vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-ramp-router"
      },
      {
        "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-simplismart.json",
        "title": "Novita AI vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-simplismart.json",
        "title": "OpenAI API vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openrouter-vs-simplismart.json",
        "title": "OpenRouter vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-simplismart.json",
        "title": "Prism Inference vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-simplismart.json",
        "title": "Router.com (Ramp Router) vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-simplismart.json",
        "title": "Beam 1.0 vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/routerplus-vs-simplismart.json",
        "title": "RouterPlus vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/routerplus-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-simplismart.json",
        "title": "SambaCloud vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-simplismart.json",
        "title": "SiliconFlow vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/simplismart-vs-stepfun-api.json",
        "title": "Simplismart vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/simplismart-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/simplismart-vs-together-inference.json",
        "title": "Simplismart vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/simplismart-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/simplismart-vs-vercel-ai-gateway.json",
        "title": "Simplismart vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/simplismart-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-sambanova.json",
        "title": "Nemotron 3.5 Super VL vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-sambanova"
      },
      {
        "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-together-inference.json",
        "title": "Nemotron 3.5 Super VL vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference"
      },
      {
        "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"
      }
    ],
    "scores": [
      {
        "by": 43,
        "edge": "nemotron-3-5-super-vl",
        "key": "reliability",
        "name": "Reliability",
        "nemotron-3-5-super-vl": 58,
        "simplismart": 15,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 23,
        "edge": "nemotron-3-5-super-vl",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "nemotron-3-5-super-vl": 74,
        "simplismart": 51,
        "weight": 13
      },
      {
        "by": 48,
        "edge": "nemotron-3-5-super-vl",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "nemotron-3-5-super-vl": 65,
        "simplismart": 17,
        "weight": 13
      },
      {
        "by": 16,
        "edge": "nemotron-3-5-super-vl",
        "key": "security",
        "name": "Security \u0026 auth",
        "nemotron-3-5-super-vl": 51,
        "simplismart": 35,
        "weight": 14
      },
      {
        "by": 10,
        "edge": "nemotron-3-5-super-vl",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "nemotron-3-5-super-vl": 35,
        "simplismart": 25,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 29,
        "edge": "nemotron-3-5-super-vl",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "nemotron-3-5-super-vl": 71,
        "simplismart": 42,
        "weight": 7
      },
      {
        "by": 29,
        "edge": "nemotron-3-5-super-vl",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "nemotron-3-5-super-vl": 60,
        "simplismart": 31,
        "weight": 7
      }
    ],
    "summary": "Nemotron 3.5 Super VL scores 59 (C) on agent readiness against Simplismart's 29.7 (F), 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.",
      "simplismart": "Simplismart exposes open models through an OpenAI-compatible endpoint with public per-token prices and expiring, revocable keys. Its public docs give no request rate limits, status page, retry guidance, tool-calling or structured-output reference, and its terms and privacy policy cover the website, not API data."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-simplismart",
    "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-simplismart.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-simplismart.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-simplismart.min.md"
  },
  "markdown": "Nemotron 3.5 Super VL scores 59 (C) on agent readiness against Simplismart's 29.7 (F), and leads in every scored category. Both do open-weight models.\n\n- Nemotron 3.5 Super VL: grade C, 59/100, rank #644 of 1221. 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- Simplismart: grade F, 29.7/100, rank #1146 of 1221. Markdown https://www.anchorterminal.com/tools/simplismart.md · JSON https://www.anchorterminal.com/api/v1/tools/simplismart.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 497 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- Reliability, 58 against 15\n- Schema \u0026 documentation, 74 against 51\n- Agent ergonomics, 65 against 17\n- Security \u0026 auth, 51 against 35\n- Payments \u0026 pricing, 35 against 25\n- Maintenance \u0026 community, 71 against 42\n- Transparency \u0026 trust, 60 against 31\n\nAlso in its favour:\n- Free to start without a card\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### Simplismart (F)\n\nGood for: Teams that want open models on a pay-per-token OpenAI-compatible endpoint and a path to dedicated GPUs, their own cloud or fine-tuning with one vendor, and can work without published rate limits or data-handling terms.\n\nWatch for: No request or token rate limits, 429 handling or retry guidance found in the docs; only GPU quotas, given as 1 and as 8 H100s on two pages\n\n\n## Score by category\n\n| Category | Weight | Nemotron 3.5 Super VL | Simplismart | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 58 | 15 | Nemotron 3.5 Super VL +43 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 74 | 51 | Nemotron 3.5 Super VL +23 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 17 | Nemotron 3.5 Super VL +48 |\n| Security \u0026 auth | 14% (17.5 this run) | 51 | 35 | Nemotron 3.5 Super VL +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 25 | Nemotron 3.5 Super VL +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 71 | 42 | Nemotron 3.5 Super VL +29 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 60 | 31 | Nemotron 3.5 Super VL +29 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **59 · C** | **29.7 · F** | |\n\n## Facts side by side\n\n| Fact | Nemotron 3.5 Super VL | Simplismart |\n| --- | --- | --- |\n| Kind | Model API | HTTP API |\n| Vendor | NVIDIA | Verute Technologies Private Limited |\n| Hosted endpoint | `https://integrate.api.nvidia.com/v1` | `https://api.simplismart.live` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API 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 hosted service. The community Pipecat integration (pipecat-simplismart, by the simpli-smart GitHub account) is BSD-2-Clause; served models keep their own licences. |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-15 | 2026-10-19 |\n| Terms last updated |  |  |\n| Privacy policy last updated | no date given |  |\n| Customer content may train models |  |  |\n| Terms restrict automated access |  |  |\n| Terms restrict benchmarking |  |  |\n| Terms or service can change without notice |  |  |\n| Arbitration or class-action waiver |  |  |\n| Agent reviews | 3/5 (4) | none |\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**Simplismart.** Simplismart exposes open models through an OpenAI-compatible endpoint with public per-token prices and expiring, revocable keys. Its public docs give no request rate limits, status page, retry guidance, tool-calling or structured-output reference, and its terms and privacy policy cover the website, not API data.\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### Simplismart\n\n1. Point an OpenAI-compatible client at https://api.simplismart.live with SIMPLISMART_API_KEY as a Bearer token, and take model ids from the marketplace or the per-model API pages.\n2. Set a key expiry and rotate before midnight UTC on the expiry date, because an expired key returns 401.\n3. Cap retries yourself with exponential backoff, because no rate limits, 429 format or retry guidance are published.\n4. Check that a model supports tools or JSON output with a test call before relying on it, because neither is documented.\n5. Confirm the per-token price of the exact model in the console before running large jobs, because the public price list is incomplete.\n\n## Questions\n\n### Which is better for AI agents, Nemotron 3.5 Super VL or Simplismart?\n\nNemotron 3.5 Super VL scores 59 (C) on agent readiness against Simplismart's 29.7 (F), and leads in every scored category.\n\n### Do Nemotron 3.5 Super VL and Simplismart need an API key?\n\nBoth need an API key.\n\n### Can an agent call Nemotron 3.5 Super VL and Simplismart without installing anything?\n\nYes. Nemotron 3.5 Super VL has a hosted endpoint at https://integrate.api.nvidia.com/v1 and Simplismart at https://api.simplismart.live.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-simplismart.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-simplismart.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"nemotron-3-5-super-vl\", \"b\": \"simplismart\"}`. From a terminal: `anchor compare nemotron-3-5-super-vl simplismart`\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/simplismart.json\n\n## Other comparisons with Nemotron 3.5 Super VL or Simplismart\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 Simplismart](https://www.anchorterminal.com/compare/anthropic-api-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/antseed-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/blockrun-ai-vs-simplismart.md)\n- [Cerebras Inference vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cerebras-inference-vs-nemotron-3-5-super-vl.md)\n- [Cerebras Inference vs Simplismart](https://www.anchorterminal.com/compare/cerebras-inference-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/cohere-chat-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/deepinfra-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/deepseek-api-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/elorian-glimpse-vs-simplismart.md)\n- [Fireworks AI Inference vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/fireworks-inference-vs-nemotron-3-5-super-vl.md)\n- [Fireworks AI Inference vs Simplismart](https://www.anchorterminal.com/compare/fireworks-inference-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/gemini-api-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/groq-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/jais-3-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/meta-model-api-vs-simplismart.md)\n- [MiniMax API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/minimax-api-vs-nemotron-3-5-super-vl.md)\n- [MiniMax API vs Simplismart](https://www.anchorterminal.com/compare/minimax-api-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/mistral-api-vs-simplismart.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 Simplismart](https://www.anchorterminal.com/compare/muse-spark-open-vs-simplismart.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-ramp-router.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 Simplismart](https://www.anchorterminal.com/compare/novita-ai-vs-simplismart.md)\n- [OpenAI API vs Simplismart](https://www.anchorterminal.com/compare/openai-api-vs-simplismart.md)\n- [OpenRouter vs Simplismart](https://www.anchorterminal.com/compare/openrouter-vs-simplismart.md)\n- [Prism Inference vs Simplismart](https://www.anchorterminal.com/compare/prism-inference-vs-simplismart.md)\n- [Router.com (Ramp Router) vs Simplismart](https://www.anchorterminal.com/compare/ramp-router-vs-simplismart.md)\n- [Beam 1.0 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