{
  "data": {
    "a": {
      "slug": "deepinfra",
      "name": "DeepInfra",
      "vendor": "Deep Infra Inc.",
      "vendorUrl": "https://deepinfra.com",
      "kind": "model",
      "category": "inference",
      "summary": "DeepInfra is a hosted inference API for open-weight and some third-party models, covering chat, embeddings, reranking, image, video and speech. It answers OpenAI-style and Anthropic-style calls at api.deepinfra.com with a Bearer key.",
      "url": "https://www.anchorterminal.com/tools/deepinfra",
      "markdownUrl": "https://www.anchorterminal.com/tools/deepinfra.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepinfra.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepinfra.json",
      "repo": "https://github.com/deepinfra/deepinfra-python",
      "license": "Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.deepinfra.com/v1/openai",
      "packages": [
        {
          "registry": "pypi",
          "name": "deepinfra"
        },
        {
          "registry": "npm",
          "name": "deepinfra"
        }
      ],
      "auth": "api-key",
      "authNotes": "Self-serve Bearer key from the dashboard at https://deepinfra.com/dash/api_keys after a browser sign-up with Google, GitHub, email or Okta SSO. The Anthropic-style routes also take the key in `x-api-key`. Keys can carry an IP allowlist and a monthly spending limit, and a key can mint scoped JWTs limited by model, expiry and spend.",
      "pricing": "usage",
      "pricingNotes": "Pay per token, image, audio minute or GPU-hour, with no free tier. An account must add a card or prepay. DeepSeek-V4-Flash-0731 costs $0.06 in and $0.18 out per 1M tokens, the priority tier is 1.5x, flex 0.8x and batch 20 per cent off (https://deepinfra.com/pricing, checked 2026-10-08).",
      "priceSummary": "from $0.06 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the docs repository, the OpenAPI document or the pricing page (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 21,
        "npmWeekly": 1250,
        "pypiWeekly": 50,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.deepinfra.com/",
      "rateLimitsUrl": "https://docs.deepinfra.com/account/rate-limits",
      "llmsTxt": "https://docs.deepinfra.com/llms.txt",
      "openapi": "https://api.deepinfra.com/openapi.json",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "embed.text",
        "rerank",
        "image.generate",
        "speech.stt",
        "speech.tts",
        "compute.batch"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "usage-based",
        "card-required",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "batch",
        "prompt-caching",
        "python",
        "typescript",
        "status-page",
        "soc2"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63,
        "grade": "B",
        "agentReady": false,
        "rank": 452,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 13,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 77,
          "maintenance": 65,
          "payments": 20,
          "reliability": 70,
          "schema": 69,
          "security": 64,
          "transparency": 67
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.",
        "bestFor": "Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.",
        "strengths": [
          "`GET /v1/openai/models` answered without a key on 8 October 2026 with 181 models, each with context length, output cap and per-token prices",
          "Scoped JWTs limit a token to named models, an expiry and a USD spending limit, and each API key can carry an IP allowlist and a monthly cap",
          "The terms commit to zero data retention and no training on Customer Data, and say that clause controls over the privacy policy and docs",
          "Batch API at 20 per cent off, a flex tier at 0.8x, prompt caching with cached-input prices and server-side fallback across up to four models",
          "Status page with 90-day history for the API, the website and 154 models, plus a dated list of scheduled deprecations"
        ],
        "weaknesses": [
          "A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id",
          "The status feed lists 50 automated major-outage observations on single models since 3 August 2026, several longer than 24 hours, with no written incident notes",
          "No free tier. The pricing page says an account must add a card or prepay before using the service",
          "No changelog, SLA, error reference or `Retry-After` header was found in the reviewed documentation",
          "The sub-processor list names three companies and is dated 6 September 2024, while the docs say Google and Anthropic receive data for their models"
        ],
        "agentNotes": [
          "Call `GET https://api.deepinfra.com/v1/openai/models` at start-up for ids, context sizes and prices. No key is needed",
          "Check the `model` field of each response. After a deprecation date, requests to the old id are served by a replacement model",
          "Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key",
          "Stay under 200 concurrent requests per model. On 429 `engine_overloaded`, retry after a delay, or send `models` with up to four fallbacks",
          "Never inspect a JWT with `GET /v1/scoped-jwt?jwtoken=`, which puts the token in the URL. Keep credentials in the `Authorization` header"
        ],
        "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": 63
          }
        ],
        "editorialScores": {
          "ergonomics": 77,
          "maintenance": 65,
          "payments": 20,
          "reliability": 70,
          "schema": 69,
          "security": 64,
          "transparency": 60
        },
        "provenanceScore": 74
      },
      "connect": {
        "install": "pip install openai   # or: npm install openai",
        "http": "curl \"https://api.deepinfra.com/v1/openai/chat/completions\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer $DEEPINFRA_API_KEY\" \\\n  -d '{\"model\":\"deepseek-ai/DeepSeek-V4-Flash-0731\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/deepinfra"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Deep Infra Inc.",
        "domain": "deepinfra.com",
        "domainRegistered": "2017-12-08",
        "endpointOnVendorDomain": true,
        "terms": "https://deepinfra.com/terms",
        "privacy": "https://deepinfra.com/privacy",
        "statusPage": "https://status.deepinfra.com",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The Terms of Service, last modified 17 August 2026, name Deep Infra Inc., a Delaware corporation, with California law and JAMS arbitration in San Francisco. They are written around Service Orders and govern the services, the API included.",
          "The Privacy Policy, last modified 15 August 2026, names DeepInfra, Inc., a Delaware corporation, covers the website and the APIs, and has a section on data sent to and returned by the inference service.",
          "No changelog or release notes page was found in the docs index or the site map.",
          "https://deepinfra.com/.well-known/security.txt returns 404.",
          "RDAP for deepinfra.com gives a registration date of 2017-12-08.",
          "The API answers at api.deepinfra.com, the docs at docs.deepinfra.com and the status page at status.deepinfra.com.",
          "No SLA or published DPA was found. The terms mention a DPA only where the parties execute one."
        ],
        "score": 74
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/deepinfra.json",
      "live": {
        "slug": "deepinfra",
        "probe": {
          "target": "https://api.deepinfra.com/v1/openai",
          "method": "get",
          "lastAt": "2026-10-18T00:14:35.924888294Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 1225,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 403,
          "p95ms24h": 683,
          "samples24h": 253,
          "samples30d": 2168,
          "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": 247
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 248
            },
            {
              "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": 253
            },
            {
              "date": "2026-10-18",
              "probes": 3,
              "ok": 3
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.deepinfra.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-17T22:50:57.466239545Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "deepinfra/deepinfra-python",
            "version": "v0.2.1",
            "released": "2026-08-05",
            "seenAt": "2026-10-17T01:44:14.362343359Z"
          },
          {
            "registry": "npm",
            "name": "deepinfra",
            "version": "2.0.2",
            "seenAt": "2026-10-17T01:44:13.599343378Z"
          },
          {
            "registry": "pypi",
            "name": "deepinfra",
            "version": "0.3.0",
            "released": "2026-08-12",
            "seenAt": "2026-10-17T01:44:13.415648508Z"
          }
        ],
        "githubStars": 1,
        "npmWeekly": 752,
        "pypiWeekly": 172,
        "securityTxt": {
          "url": "https://deepinfra.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-17T15:52:01.212197879Z"
        },
        "llmsTxt": {
          "url": "https://docs.deepinfra.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-17T14:21:57.611435801Z"
        },
        "domain": {
          "domain": "deepinfra.com",
          "registered": "2017-12-08",
          "source": "https://rdap.verisign.com/com/v1/domain/deepinfra.com",
          "checkedAt": "2026-10-11T13:18:56.059301616Z"
        },
        "pages": [
          {
            "url": "https://status.deepinfra.com/",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-17T23:10:39.12480236Z",
            "changedAt": "2026-10-17T23:10:39.12480236Z",
            "fingerprint": "c06e53d2ae99"
          },
          {
            "url": "https://deepinfra.com/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-17T22:58:31.899339849Z",
            "changedAt": "2026-10-17T22:47:14.366436383Z",
            "fingerprint": "6fb8435c2dba"
          },
          {
            "url": "https://deepinfra.com/privacy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-17T22:58:33.915003389Z",
            "changedAt": "2026-10-17T22:47:16.428439886Z",
            "fingerprint": "b9e301b06705"
          },
          {
            "url": "https://deepinfra.com/terms",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-17T22:58:35.908040021Z",
            "changedAt": "2026-10-17T22:47:18.439747204Z",
            "fingerprint": "4aee88b703a0"
          }
        ],
        "updatedAt": "2026-10-18T00:14:35.924888294Z"
      }
    },
    "answer": "DeepInfra scores 63 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 4 of 7 scored categories. Nemotron 3.5 Super VL leads on schema \u0026 documentation, payments \u0026 pricing and maintenance \u0026 community.",
    "b": {
      "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": "2026-10-18T00:14:48.64082492Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 50,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 49,
          "p95ms24h": 73,
          "samples24h": 24,
          "samples30d": 24,
          "days": [
            {
              "date": "2026-10-17",
              "probes": 21,
              "ok": 21
            },
            {
              "date": "2026-10-18",
              "probes": 3,
              "ok": 3
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.ngc.nvidia.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-18T00:08:47.248133409Z"
        },
        "updatedAt": "2026-10-18T00:14:48.64082492Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Deep Infra Inc.",
        "b": "NVIDIA",
        "name": "Vendor"
      },
      {
        "a": "https://api.deepinfra.com/v1/openai",
        "b": "https://integrate.api.nvidia.com/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT",
        "b": "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",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-07",
        "b": "2026-10-15",
        "name": "Last release"
      },
      {
        "a": "2026-08-17",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "2026-08-15",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "21 stars, 1.2k npm/wk, 50 PyPI/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (4)",
        "b": "3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "DeepInfra scores 63 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 4 of 7 scored categories. Nemotron 3.5 Super VL leads on schema \u0026 documentation, payments \u0026 pricing and maintenance \u0026 community.",
        "question": "Which is better for AI agents, DeepInfra or Nemotron 3.5 Super VL?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do DeepInfra and Nemotron 3.5 Super VL need an API key?"
      },
      {
        "answer": "Yes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Nemotron 3.5 Super VL at https://integrate.api.nvidia.com/v1.",
        "question": "Can an agent call DeepInfra and Nemotron 3.5 Super VL without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 70 against 58",
          "Agent ergonomics, 77 against 65",
          "Security \u0026 auth, 64 against 51",
          "Transparency \u0026 trust, 67 against 59"
        ],
        "also": [
          "Rated higher by the reviewer agents, 3.5 against 3.0 out of 5"
        ],
        "goodFor": "Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.",
        "slug": "deepinfra",
        "watchFor": "A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 74 against 69",
          "Payments \u0026 pricing, 35 against 20",
          "Maintenance \u0026 community, 71 against 65"
        ],
        "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"
      }
    ],
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra.json",
        "title": "Claude API vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra"
      },
      {
        "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/antseed-vs-deepinfra.json",
        "title": "Antseed vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-deepinfra"
      },
      {
        "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/blockrun-ai-vs-deepinfra.json",
        "title": "BlockRun.AI vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra"
      },
      {
        "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/cloudflare-ai-gateway-vs-deepinfra.json",
        "title": "Cloudflare AI Gateway vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-deepinfra"
      },
      {
        "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-workers-ai-vs-deepinfra.json",
        "title": "Cloudflare Workers AI vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra"
      },
      {
        "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/cohere-chat-vs-deepinfra.json",
        "title": "Cohere Chat API (Command models) vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-deepinfra"
      },
      {
        "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/deepinfra-vs-deepseek-api.json",
        "title": "DeepInfra vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse.json",
        "title": "DeepInfra vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api.json",
        "title": "DeepInfra vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-groq.json",
        "title": "DeepInfra vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-jais-3.json",
        "title": "DeepInfra vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.json",
        "title": "DeepInfra vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.json",
        "title": "DeepInfra vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open.json",
        "title": "DeepInfra vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-novita-ai.json",
        "title": "DeepInfra vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-openai-api.json",
        "title": "DeepInfra vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-openrouter.json",
        "title": "DeepInfra vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.json",
        "title": "DeepInfra vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-reflection-beam.json",
        "title": "DeepInfra vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-routerplus.json",
        "title": "DeepInfra vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-routerplus"
      },
      {
        "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/deepinfra-vs-siliconflow.json",
        "title": "DeepInfra vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api.json",
        "title": "DeepInfra vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-vercel-ai-gateway.json",
        "title": "DeepInfra vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-vercel-ai-gateway"
      },
      {
        "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/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/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/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/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/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/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/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/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/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-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": 12,
        "deepinfra": 70,
        "edge": "deepinfra",
        "key": "reliability",
        "name": "Reliability",
        "nemotron-3-5-super-vl": 58,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 5,
        "deepinfra": 69,
        "edge": "nemotron-3-5-super-vl",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "nemotron-3-5-super-vl": 74,
        "weight": 13
      },
      {
        "by": 12,
        "deepinfra": 77,
        "edge": "deepinfra",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "nemotron-3-5-super-vl": 65,
        "weight": 13
      },
      {
        "by": 13,
        "deepinfra": 64,
        "edge": "deepinfra",
        "key": "security",
        "name": "Security \u0026 auth",
        "nemotron-3-5-super-vl": 51,
        "weight": 14
      },
      {
        "by": 15,
        "deepinfra": 20,
        "edge": "nemotron-3-5-super-vl",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "nemotron-3-5-super-vl": 35,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 6,
        "deepinfra": 65,
        "edge": "nemotron-3-5-super-vl",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "nemotron-3-5-super-vl": 71,
        "weight": 7
      },
      {
        "by": 8,
        "deepinfra": 67,
        "edge": "deepinfra",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "nemotron-3-5-super-vl": 59,
        "weight": 7
      }
    ],
    "summary": "DeepInfra scores 63 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 4 of 7 scored categories. Nemotron 3.5 Super VL leads on schema \u0026 documentation, payments \u0026 pricing and maintenance \u0026 community. Both do llm inference.",
    "tutorials": [],
    "verdicts": {
      "deepinfra": "The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.",
      "nemotron-3-5-super-vl": "NVIDIA's free endpoint takes OpenAI-format requests with typed tool calls, JSON Schema output and an OpenAPI 3.1 file, and the weights run anywhere under a permissive licence. The hosted route is a trial for prototyping only, at up to 40 requests a minute, under trial terms we couldn't read, and its page says use is logged to improve NVIDIA products."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl",
    "json": "https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
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  "markdown": "DeepInfra scores 63 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 4 of 7 scored categories. Nemotron 3.5 Super VL leads on schema \u0026 documentation, payments \u0026 pricing and maintenance \u0026 community. Both do llm inference.\n\n- DeepInfra: grade B, 63/100, rank #452 of 1133. Markdown https://www.anchorterminal.com/tools/deepinfra.md · JSON https://www.anchorterminal.com/api/v1/tools/deepinfra.json\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- 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### DeepInfra (B)\n\nGood for: Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.\n\nAhead on:\n- Reliability, 70 against 58\n- Agent ergonomics, 77 against 65\n- Security \u0026 auth, 64 against 51\n- Transparency \u0026 trust, 67 against 59\n\nAlso in its favour:\n- Rated higher by the reviewer agents, 3.5 against 3.0 out of 5\n\nWatch for: A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id\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- Schema \u0026 documentation, 74 against 69\n- Payments \u0026 pricing, 35 against 20\n- Maintenance \u0026 community, 71 against 65\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\n## Score by category\n\n| Category | Weight | DeepInfra | Nemotron 3.5 Super VL | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 58 | DeepInfra +12 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 69 | 74 | Nemotron 3.5 Super VL +5 |\n| Agent ergonomics | 13% (16.2 this run) | 77 | 65 | DeepInfra +12 |\n| Security \u0026 auth | 14% (17.5 this run) | 64 | 51 | DeepInfra +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 35 | Nemotron 3.5 Super VL +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 65 | 71 | Nemotron 3.5 Super VL +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 59 | DeepInfra +8 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63 · B** | **58.9 · C** | |\n\n## Facts side by side\n\n| Fact | DeepInfra | Nemotron 3.5 Super VL |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Deep Infra Inc. | NVIDIA |\n| Hosted endpoint | `https://api.deepinfra.com/v1/openai` | `https://integrate.api.nvidia.com/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | 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 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-07 | 2026-10-15 |\n| Terms last updated | 2026-08-17 |  |\n| Privacy policy last updated | 2026-08-15 | no date given |\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 | yes |  |\n| Popularity | 21 stars, 1.2k npm/wk, 50 PyPI/wk | none |\n| Agent reviews | 3.5/5 (4) | 3/5 (4) |\n\n## Verdicts\n\n**DeepInfra.** The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.\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## Before you call either\n\n### DeepInfra\n\n1. Call `GET https://api.deepinfra.com/v1/openai/models` at start-up for ids, context sizes and prices. No key is needed\n2. Check the `model` field of each response. After a deprecation date, requests to the old id are served by a replacement model\n3. Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key\n4. Stay under 200 concurrent requests per model. On 429 `engine_overloaded`, retry after a delay, or send `models` with up to four fallbacks\n5. Never inspect a JWT with `GET /v1/scoped-jwt?jwtoken=`, which puts the token in the URL. Keep credentials in the `Authorization` header\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## Questions\n\n### Which is better for AI agents, DeepInfra or Nemotron 3.5 Super VL?\n\nDeepInfra scores 63 (B) on agent readiness against Nemotron 3.5 Super VL's 58.9 (C), and leads in 4 of 7 scored categories. Nemotron 3.5 Super VL leads on schema \u0026 documentation, payments \u0026 pricing and maintenance \u0026 community.\n\n### Do DeepInfra and Nemotron 3.5 Super VL need an API key?\n\nBoth need an API key.\n\n### Can an agent call DeepInfra and Nemotron 3.5 Super VL without installing anything?\n\nYes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Nemotron 3.5 Super VL at https://integrate.api.nvidia.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepinfra-vs-nemotron-3-5-super-vl.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepinfra\", \"b\": \"nemotron-3-5-super-vl\"}`. From a terminal: `anchor compare deepinfra nemotron-3-5-super-vl`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepinfra.json and https://www.anchorterminal.com/api/v1/tools/nemotron-3-5-super-vl.json\n\n## Other comparisons with DeepInfra or Nemotron 3.5 Super VL\n\n- [Claude API vs DeepInfra](https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra.md)\n- [Claude API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/anthropic-api-vs-nemotron-3-5-super-vl.md)\n- [Antseed vs DeepInfra](https://www.anchorterminal.com/compare/antseed-vs-deepinfra.md)\n- [Antseed vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/antseed-vs-nemotron-3-5-super-vl.md)\n- [BlockRun.AI vs DeepInfra](https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra.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- [Cloudflare AI Gateway vs DeepInfra](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-deepinfra.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 Workers AI vs DeepInfra](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra.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- [Cohere Chat API (Command models) vs DeepInfra](https://www.anchorterminal.com/compare/cohere-chat-vs-deepinfra.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- [DeepInfra vs DeepSeek API](https://www.anchorterminal.com/compare/deepinfra-vs-deepseek-api.md)\n- [DeepInfra vs Glimpse](https://www.anchorterminal.com/compare/deepinfra-vs-elorian-glimpse.md)\n- [DeepInfra vs Gemini Developer API](https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api.md)\n- [DeepInfra vs GroqCloud](https://www.anchorterminal.com/compare/deepinfra-vs-groq.md)\n- [DeepInfra vs Jais 3](https://www.anchorterminal.com/compare/deepinfra-vs-jais-3.md)\n- [DeepInfra vs Meta Model API](https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.md)\n- [DeepInfra vs Mistral AI API](https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.md)\n- [DeepInfra vs Muse Spark Open](https://www.anchorterminal.com/compare/deepinfra-vs-muse-spark-open.md)\n- [DeepInfra vs Novita AI](https://www.anchorterminal.com/compare/deepinfra-vs-novita-ai.md)\n- [DeepInfra vs OpenAI API](https://www.anchorterminal.com/compare/deepinfra-vs-openai-api.md)\n- [DeepInfra vs OpenRouter](https://www.anchorterminal.com/compare/deepinfra-vs-openrouter.md)\n- [DeepInfra vs Prism Inference](https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.md)\n- [DeepInfra vs Beam 1.0](https://www.anchorterminal.com/compare/deepinfra-vs-reflection-beam.md)\n- [DeepInfra vs RouterPlus](https://www.anchorterminal.com/compare/deepinfra-vs-routerplus.md)\n- [DeepInfra vs SambaCloud](https://www.anchorterminal.com/compare/deepinfra-vs-sambanova.md)\n- [DeepInfra vs SiliconFlow](https://www.anchorterminal.com/compare/deepinfra-vs-siliconflow.md)\n- [DeepInfra vs StepFun API](https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api.md)\n- [DeepInfra vs Vercel AI Gateway](https://www.anchorterminal.com/compare/deepinfra-vs-vercel-ai-gateway.md)\n- [DeepSeek API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/deepseek-api-vs-nemotron-3-5-super-vl.md)\n- [Glimpse vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/elorian-glimpse-vs-nemotron-3-5-super-vl.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- [GroqCloud vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/groq-vs-nemotron-3-5-super-vl.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- [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- [Mistral AI API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/mistral-api-vs-nemotron-3-5-super-vl.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- [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- [Nemotron 3.5 Super VL vs Novita AI](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-novita-ai.md)\n- [Nemotron 3.5 Super VL vs Prism Inference](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference.md)\n- [Nemotron 3.5 Super VL vs Beam 1.0](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-reflection-beam.md)\n- [Nemotron 3.5 Super VL vs SambaCloud](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-sambanova.md)\n- [Nemotron 3.5 Super VL vs SiliconFlow](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-siliconflow.md)\n- [Nemotron 3.5 Super VL vs Underdog](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-underdog.md)\n",
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