{
  "data": {
    "a": {
      "slug": "prism-inference",
      "name": "Prism Inference",
      "vendor": "Prism Technologies Inc",
      "vendorUrl": "https://prisminference.com",
      "kind": "model",
      "category": "inference",
      "summary": "Prism is a hosted inference API from Prism Technologies Inc for open-weight models, aimed at coding agents. It accepts OpenAI Chat Completions, OpenAI Responses and Anthropic Messages requests at api.prisminference.com. It launched on 24 September 2026.",
      "url": "https://www.anchorterminal.com/tools/prism-inference",
      "markdownUrl": "https://www.anchorterminal.com/tools/prism-inference.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prism-inference.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prism-inference.json",
      "repo": "https://github.com/prismhq/hermes-prism-provider",
      "license": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.prisminference.com/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` with a key issued from account settings after sign-up at prisminference.com/signup. The inference endpoints also accept the key in `x-api-key`. A missing, invalid, expired or revoked key returns 401. No key scopes were found in the reviewed documentation. An agent can call `POST https://prisminference.com/api/agent-signups` with the owner's email and a username and receive a key once, but that key can't run inference until the owner supplies a six-digit emailed code, and it expires after 30 days. `GET /v1/models` needs no key.",
      "pricing": "usage",
      "pricingNotes": "Prepaid per-token pricing with no minimum. DeepSeek-V4.1-Flash is $0.09 in, $1.20 out and $0.06 cache read per million tokens, and Gemma 4 31B is $0.30, $0.40 and $0.15 (https://prisminference.com/pricing, matched by https://api.prisminference.com/v1/models). No free tier or trial credit was found, and a workspace without credit gets 402. A person funds the workspace in a browser. Elastic endpoints, dedicated deployments and batch are sold through sales with no published price.",
      "priceSummary": "from $0.09 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in llms.txt, the docs index, the OpenAPI file or the pricing page, read 2026-10-08. The docs describe prepaid credit funded by a person in the browser.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.prisminference.com",
      "rateLimitsUrl": "https://docs.prisminference.com/rate-limits",
      "llmsTxt": "https://prisminference.com/llms.txt",
      "openapi": "https://docs.prisminference.com/openapi.yaml",
      "capabilities": [
        "inference.fast",
        "inference.open-weights",
        "inference.llm"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "fast",
        "usage-priced",
        "prepaid",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "zero-retention",
        "status-page",
        "new"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 60.1,
        "grade": "C",
        "agentReady": false,
        "rank": 535,
        "ranked": true,
        "rankOf": 965,
        "categoryRank": 13,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 68,
          "maintenance": 49,
          "payments": 30,
          "reliability": 65,
          "schema": 82,
          "security": 65,
          "transparency": 61
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-10-08. The home page shows a '99.99% Uptime SLA' tile, and the pricing page says 'No minimums, no rate limits' above the per-token table. The terms of 9 September 2026 say the services have no guaranteed uptime or service credit unless a separate written agreement says otherwise, and the docs describe per-key rate limits that return 429. No SLA document was found. A misleading claim, with the smallest deduction because the terms and docs state the real position (https://prisminference.com/, https://prisminference.com/pricing, https://prisminference.com/terms, https://docs.prisminference.com/rate-limits)."
        ],
        "verdict": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.",
        "bestFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.",
        "strengths": [
          "One key works across OpenAI Chat Completions, OpenAI Responses and Anthropic Messages, with a public OpenAPI 3.1 file, llms.txt and Markdown docs",
          "Zero data retention is the default on every tier, and the privacy policy, terms and docs all say inputs and outputs are never used for training",
          "Every error carries a stable `code`, a `retryable` flag, a `fix` hint and a `docs_url`, and 429 carries `Retry-After` in seconds",
          "`GET /v1/models` answers without a key and returns context length, maximum output and per-token prices for each model",
          "DeepSeek-V4.1-Flash is listed with a 1M-token context and 384,000 output tokens at $0.09 in and $1.20 out per million"
        ],
        "weaknesses": [
          "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available",
          "No rate-limit numbers are published. The docs say per-key limits exist, and the pricing page says 'no rate limits'",
          "The home page shows a '99.99% Uptime SLA' tile, while the terms say there is no guaranteed uptime without a separate written agreement",
          "No free tier found. Billing is prepaid, a person funds the workspace in a browser, and the agent sign-up key needs an emailed code",
          "The service launched on 24 September 2026. The changelog has one entry, and no deprecation policy, sub-processor list or certification was found"
        ],
        "agentNotes": [
          "Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access",
          "Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients",
          "Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity",
          "Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output",
          "Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 60.1
          }
        ],
        "editorialScores": {
          "ergonomics": 68,
          "maintenance": 49,
          "payments": 30,
          "reliability": 65,
          "schema": 82,
          "security": 65,
          "transparency": 43
        },
        "provenanceScore": 79
      },
      "connect": {
        "install": "pip install openai   # or: npm install openai, base URL https://api.prisminference.com/v1. Anthropic SDKs use https://api.prisminference.com with no /v1",
        "http": "curl \"https://api.prisminference.com/v1/chat/completions\" \\\n  -H \"Authorization: Bearer $PRISM_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"deepseek-v4.1-flash\",\"messages\":[{\"role\":\"user\",\"content\":\"Return pong.\"}]}'",
        "claudeCode": "export ANTHROPIC_BASE_URL=https://api.prisminference.com\nexport ANTHROPIC_AUTH_TOKEN=$PRISM_API_KEY\nexport ANTHROPIC_MODEL=deepseek-v4.1-flash\nexport ANTHROPIC_SMALL_FAST_MODEL=gemma-4-31b"
      },
      "letme": {
        "capability": "https://letme.dev/inference.fast",
        "tool": "https://letme.dev/prism-inference"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Prism Technologies Inc",
        "domain": "prisminference.com",
        "domainRegistered": "2026-09-09",
        "endpointOnVendorDomain": true,
        "terms": "https://prisminference.com/terms",
        "privacy": "https://prisminference.com/privacy",
        "statusPage": "https://status.prisminference.com",
        "changelog": "https://docs.prisminference.com/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-08",
        "notes": [
          "The terms and the privacy policy, both last updated 9 September 2026, name Prism Technologies Inc. The terms are governed by California law with arbitration in San Francisco.",
          "RDAP gives a registration date of 2026-09-09 for prisminference.com, with Name.com as registrar.",
          "security.txt has a Contact line (founders@prisminference.com), an Expires date of 2027-10-06 and a Canonical line. No disclosure policy or bug bounty is named.",
          "The status page runs on incident.io with one component for each model and no component for the API or the website. Its incidents feed was empty on 8 October 2026.",
          "The YC directory lists Prism in the Spring 2025 batch, in San Francisco, with a team of 2. The home page links an X account named prism_videos, from the company's earlier video product."
        ],
        "score": 79
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/prism-inference.json",
      "live": {
        "slug": "prism-inference",
        "probe": {
          "target": "https://api.prisminference.com/v1",
          "method": "get",
          "lastAt": "2026-10-12T04:37:31.115058388Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 351,
          "authRequired": false,
          "uptime24h": 99.6,
          "uptime30d": 99.89,
          "p50ms24h": 127,
          "p95ms24h": 486,
          "samples24h": 247,
          "samples30d": 884,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 93,
              "ok": 93
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 246
            },
            {
              "date": "2026-10-12",
              "probes": 47,
              "ok": 47
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.prisminference.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-12T04:33:02.315843527Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "prismhq/hermes-prism-provider",
            "version": "v1.0.2",
            "released": "2026-09-16",
            "seenAt": "2026-10-11T19:52:06.080254592Z"
          }
        ],
        "githubStars": 0,
        "securityTxt": {
          "url": "https://prisminference.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-06T00:00:00.000Z",
          "checkedAt": "2026-10-11T15:42:09.10878193Z"
        },
        "llmsTxt": {
          "url": "https://prisminference.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-11T14:07:26.832274775Z"
        },
        "domain": {
          "domain": "prisminference.com",
          "registered": "2026-09-09",
          "source": "https://rdap.verisign.com/com/v1/domain/prisminference.com",
          "checkedAt": "2026-10-11T13:11:34.492540014Z"
        },
        "pages": [
          {
            "url": "https://docs.prisminference.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-11T19:26:32.086426877Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "184a0fafdb8c"
          },
          {
            "url": "https://prisminference.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-11T19:32:18.165520846Z",
            "changedAt": "2026-10-10T19:08:07.782517134Z",
            "fingerprint": "2bdff14f7c0f"
          },
          {
            "url": "https://prisminference.com/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-11T19:32:20.444419446Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "64ea7b8f1b7b"
          },
          {
            "url": "https://prisminference.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-11T19:32:22.646534108Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "27dd15c69f49"
          }
        ],
        "updatedAt": "2026-10-12T04:37:31.115058388Z"
      }
    },
    "answer": "Prism Inference scores 60.1 (C) on agent readiness against StepFun API's 44.4 (E), and leads in 5 of 7 scored categories.",
    "b": {
      "slug": "stepfun-api",
      "name": "StepFun API",
      "vendor": "StepFun",
      "vendorUrl": "https://platform.stepfun.ai",
      "kind": "model",
      "category": "inference",
      "summary": "The StepFun API is StepFun's paid model API for its Step language, vision and speech models, including the flagship Step 5 Preview, through OpenAI-style Chat Completions and Responses endpoints and an Anthropic-style Messages endpoint.",
      "url": "https://www.anchorterminal.com/tools/stepfun-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/stepfun-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/stepfun-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/stepfun-api.json",
      "license": "Closed service under the StepFun Open Platform Terms of Service (STEPFUN TECHNOLOGY (HK) LIMITED, Hong Kong law).",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.stepfun.ai/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "A bearer API key created in the StepFun Open Platform console after sign-up. Organisations can create one key per project, billed to the organisation's credit and deletable at once. No key scopes were found. Individual accounts must complete identity verification before tiered rate limits apply.",
      "pricing": "usage",
      "pricingNotes": "Step 5 Preview is $1.00 per million input tokens on a cache miss, $0.10 on a cache hit and $2.70 per million output tokens, reasoning included (checked 2026-10-12). Prepaid top-ups. No free API allowance was found. A Step Plan subscription covers coding tools separately.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the international docs index, the pricing page or the Chat Completions reference, checked 12 October 2026. Calls draw on a prepaid balance.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-12"
      },
      "docsUrl": "https://platform.stepfun.ai/docs/en/guides/models/step-5-preview",
      "llmsTxt": "https://platform.stepfun.ai/docs/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "usage-priced",
        "closed-source",
        "llms-txt",
        "multimodal",
        "streaming"
      ],
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 44.4,
        "grade": "E",
        "agentReady": false,
        "rank": 889,
        "ranked": true,
        "rankOf": 965,
        "categoryRank": 18,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 68,
          "maintenance": 50,
          "payments": 20,
          "reliability": 28,
          "schema": 53,
          "security": 41,
          "transparency": 58
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-12"
        },
        "negative": 0,
        "verdict": "StepFun's API serves Step 5 Preview with a 1M-token context, video input, strict JSON Schema output and published per-token prices, documented in Markdown with an llms.txt. The model is a preview with no release date found, there's no free allowance or SLA, and the terms and privacy policy leave room to train on customer data.",
        "bestFor": "Long-context agent and coding work over text, screenshots and video at a low per-token price, where a preview model is acceptable.",
        "strengths": [
          "Step 5 Preview takes text, images and video with a 1M-token context and up to 64k output tokens",
          "Strict JSON Schema output and tool calls on Step 5 Preview, per the structured-output guide",
          "Per-token prices with cache-hit rates published without a login, and rate-limit tiers published with numbers",
          "OpenAI-style Chat Completions and Responses endpoints and an Anthropic-style Messages endpoint",
          "llms.txt and a Markdown copy of every docs page"
        ],
        "weaknesses": [
          "Step 5 Preview is labelled a preview, and no release date or support commitment was found",
          "No free API allowance found, and individual accounts need identity verification for tiered limits",
          "No OpenAPI file, no official SDK and no batch endpoint found",
          "The privacy policy allows training on user data where law and program terms permit, with no zero-retention option found",
          "No SLA, security.txt or certification found"
        ],
        "agentNotes": [
          "Set `max_tokens` yourself. It defaults to unlimited on Step 5 Preview, and reasoning tokens are billed as output",
          "Use `response_format` with `type: json_schema` and `strict: true` when the shape matters. JSON Mode alone isn't schema-checked",
          "Back off and retry on 429, 500, 503 and 504. The docs give no Retry-After header or backoff schedule",
          "Expect HTTP 451 or `finish_reason: content_filter` when content fails StepFun's review, and don't retry the same input",
          "Use api.stepfun.ai for the international platform. api.stepfun.com is the China platform with yuan pricing"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 44.4
          }
        ],
        "editorialScores": {
          "ergonomics": 68,
          "maintenance": 50,
          "payments": 20,
          "reliability": 28,
          "schema": 53,
          "security": 41,
          "transparency": 51
        },
        "provenanceScore": 65
      },
      "connect": {
        "http": "curl https://api.stepfun.ai/v1/chat/completions \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer $STEPFUN_API_KEY\" \\\n  -d '{\"model\":\"step-5-preview\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/stepfun-api"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Step 5 Preview input, cache miss",
          "unit": "1m-tokens",
          "usd": 1,
          "note": "Includes writing new content to the cache."
        },
        {
          "item": "Step 5 Preview input, cache hit",
          "unit": "1m-tokens",
          "usd": 0.1
        },
        {
          "item": "Step 5 Preview output",
          "unit": "1m-tokens",
          "usd": 2.7,
          "note": "Reasoning and final answer tokens."
        }
      ],
      "provenance": {
        "legalEntity": "STEPFUN TECHNOLOGY (HK) LIMITED",
        "domain": "stepfun.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://platform.stepfun.ai/docs/en/agreement/userservice",
        "privacy": "https://platform.stepfun.ai/docs/en/agreement/userprivacy",
        "statusPage": "",
        "changelog": "https://platform.stepfun.ai/docs/en/guides/model-migration",
        "securityTxt": "none",
        "checked": "2026-10-12",
        "notes": [
          "The terms and the privacy policy name STEPFUN TECHNOLOGY (HK) LIMITED. Disputes go to HKIAC arbitration under Hong Kong law.",
          "platform.stepfun.ai/.well-known/security.txt returned 404, and stepfun.ai/.well-known/security.txt redirects to the platform home page.",
          "status.stepfun.ai refused our reader by robots.txt, and the shell couldn't connect, so whether it is a status page wasn't established.",
          "The X handle comes from the QR code labelled X account on the platform home page, which decodes to https://x.com/StepFun_ai.",
          "Domain registration date was not checked."
        ],
        "score": 65
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/stepfun-api.json",
      "live": {
        "slug": "stepfun-api",
        "probe": {
          "target": "https://api.stepfun.ai/v1",
          "method": "get",
          "lastAt": "2026-10-12T04:37:36.182148739Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 267,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 275,
          "p95ms24h": 492,
          "samples24h": 21,
          "samples30d": 21,
          "days": [
            {
              "date": "2026-10-12",
              "probes": 21,
              "ok": 21
            }
          ]
        },
        "updatedAt": "2026-10-12T04:37:36.182148739Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Prism Technologies Inc",
        "b": "StepFun",
        "name": "Vendor"
      },
      {
        "a": "https://api.prisminference.com/v1",
        "b": "https://api.stepfun.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file",
        "b": "Closed service under the StepFun Open Platform Terms of Service (STEPFUN TECHNOLOGY (HK) LIMITED, Hong Kong law).",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-06",
        "b": "none",
        "name": "Last release"
      },
      {
        "a": "2026-09-09",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-09",
        "b": "",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "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"
      }
    ],
    "faq": [
      {
        "answer": "Prism Inference scores 60.1 (C) on agent readiness against StepFun API's 44.4 (E), and leads in 5 of 7 scored categories.",
        "question": "Which is better for AI agents, Prism Inference or StepFun API?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Prism Inference and StepFun API need an API key?"
      },
      {
        "answer": "Yes. Prism Inference has a hosted endpoint at https://api.prisminference.com/v1 and StepFun API at https://api.stepfun.ai/v1.",
        "question": "Can an agent call Prism Inference and StepFun API without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 65 against 28",
          "Schema \u0026 documentation, 82 against 53",
          "Security \u0026 auth, 65 against 41",
          "Payments \u0026 pricing, 30 against 20"
        ],
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        "goodFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.",
        "slug": "prism-inference",
        "watchFor": "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available"
      },
      {
        "aheadOn": null,
        "also": null,
        "goodFor": "Long-context agent and coding work over text, screenshots and video at a low per-token price, where a preview model is acceptable.",
        "slug": "stepfun-api",
        "watchFor": "Step 5 Preview is labelled a preview, and no release date or support commitment was found"
      }
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      "capability": "inference.llm",
      "name": "LLM inference"
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    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.json",
        "title": "Claude API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-stepfun-api.json",
        "title": "Claude API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference.json",
        "title": "Antseed vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-stepfun-api.json",
        "title": "Antseed vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.json",
        "title": "BlockRun.AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api.json",
        "title": "BlockRun.AI vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference.json",
        "title": "Cloudflare AI Gateway vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-stepfun-api.json",
        "title": "Cloudflare AI Gateway vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference.json",
        "title": "Cloudflare Workers AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api.json",
        "title": "Cloudflare Workers AI vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.json",
        "title": "Cohere Chat API (Command models) vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api.json",
        "title": "Cohere Chat API (Command models) vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api"
      },
      {
        "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-stepfun-api.json",
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      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.json",
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      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-stepfun-api.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.json",
        "title": "Gemini Developer API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-stepfun-api.json",
        "title": "Gemini Developer API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-prism-inference.json",
        "title": "GroqCloud vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/groq-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-stepfun-api.json",
        "title": "GroqCloud vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/groq-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.json",
        "title": "Mistral AI API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api.json",
        "title": "Mistral AI API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api"
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      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference.json",
        "title": "Novita AI vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-stepfun-api.json",
        "title": "Novita AI vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.json",
        "title": "OpenAI API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-stepfun-api.json",
        "title": "OpenAI API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.json",
        "title": "OpenRouter vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api.json",
        "title": "OpenRouter vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.json",
        "title": "Prism Inference vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-stepfun-api.json",
        "title": "SambaCloud vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-stepfun-api.json",
        "title": "SiliconFlow vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-stepfun-api"
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      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.json",
        "title": "Prism Inference vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova"
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    "scores": [
      {
        "by": 37,
        "edge": "prism-inference",
        "key": "reliability",
        "name": "Reliability",
        "prism-inference": 65,
        "stepfun-api": 28,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 29,
        "edge": "prism-inference",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "prism-inference": 82,
        "stepfun-api": 53,
        "weight": 13
      },
      {
        "by": 0,
        "edge": "",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "prism-inference": 68,
        "stepfun-api": 68,
        "weight": 13
      },
      {
        "by": 24,
        "edge": "prism-inference",
        "key": "security",
        "name": "Security \u0026 auth",
        "prism-inference": 65,
        "stepfun-api": 41,
        "weight": 14
      },
      {
        "by": 10,
        "edge": "prism-inference",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "prism-inference": 30,
        "stepfun-api": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 1,
        "edge": "stepfun-api",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "prism-inference": 49,
        "stepfun-api": 50,
        "weight": 7
      },
      {
        "by": 3,
        "edge": "prism-inference",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "prism-inference": 61,
        "stepfun-api": 58,
        "weight": 7
      }
    ],
    "summary": "Prism Inference scores 60.1 (C) on agent readiness against StepFun API's 44.4 (E), and leads in 5 of 7 scored categories. Both do llm inference.",
    "verdicts": {
      "prism-inference": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.",
      "stepfun-api": "StepFun's API serves Step 5 Preview with a 1M-token context, video input, strict JSON Schema output and published per-token prices, documented in Markdown with an llms.txt. The model is a preview with no release date found, there's no free allowance or SLA, and the terms and privacy policy leave room to train on customer data."
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  "markdown": "Prism Inference scores 60.1 (C) on agent readiness against StepFun API's 44.4 (E), and leads in 5 of 7 scored categories. Both do llm inference.\n\n- Prism Inference: grade C, 60.1/100, rank #535 of 965. Markdown https://www.anchorterminal.com/tools/prism-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/prism-inference.json\n- StepFun API: grade E, 44.4/100, rank #889 of 965. Markdown https://www.anchorterminal.com/tools/stepfun-api.md · JSON https://www.anchorterminal.com/api/v1/tools/stepfun-api.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 153 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Prism Inference (C)\n\nGood for: Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.\n\nAhead on:\n- Reliability, 65 against 28\n- Schema \u0026 documentation, 82 against 53\n- Security \u0026 auth, 65 against 41\n- Payments \u0026 pricing, 30 against 20\n\nWatch for: Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available\n\n### StepFun API (E)\n\nGood for: Long-context agent and coding work over text, screenshots and video at a low per-token price, where a preview model is acceptable.\n\nWatch for: Step 5 Preview is labelled a preview, and no release date or support commitment was found\n\n\n## Score by category\n\n| Category | Weight | Prism Inference | StepFun API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 28 | Prism Inference +37 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 53 | Prism Inference +29 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 68 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 41 | Prism Inference +24 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | Prism Inference +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 49 | 50 | StepFun API +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 61 | 58 | Prism Inference +3 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **60.1 · C** | **44.4 · E** | |\n\n## Facts side by side\n\n| Fact | Prism Inference | StepFun API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Prism Technologies Inc | StepFun |\n| Hosted endpoint | `https://api.prisminference.com/v1` | `https://api.stepfun.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file | Closed service under the StepFun Open Platform Terms of Service (STEPFUN TECHNOLOGY (HK) LIMITED, Hong Kong law). |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-06 | none |\n| Terms last updated | 2026-09-09 |  |\n| Privacy policy last updated | 2026-09-09 |  |\n| Customer content may train models | not found in the text |  |\n| Terms restrict automated access | yes |  |\n| Terms restrict benchmarking | not found in the text |  |\n| Terms or service can change without notice | not found in the text |  |\n| Arbitration or class-action waiver | yes |  |\n\n## Verdicts\n\n**Prism Inference.** Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.\n\n**StepFun API.** StepFun's API serves Step 5 Preview with a 1M-token context, video input, strict JSON Schema output and published per-token prices, documented in Markdown with an llms.txt. The model is a preview with no release date found, there's no free allowance or SLA, and the terms and privacy policy leave room to train on customer data.\n\n## Before you call either\n\n### Prism Inference\n\n1. Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access\n2. Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients\n3. Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity\n4. Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output\n5. Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported\n\n### StepFun API\n\n1. Set `max_tokens` yourself. It defaults to unlimited on Step 5 Preview, and reasoning tokens are billed as output\n2. Use `response_format` with `type: json_schema` and `strict: true` when the shape matters. JSON Mode alone isn't schema-checked\n3. Back off and retry on 429, 500, 503 and 504. The docs give no Retry-After header or backoff schedule\n4. Expect HTTP 451 or `finish_reason: content_filter` when content fails StepFun's review, and don't retry the same input\n5. Use api.stepfun.ai for the international platform. api.stepfun.com is the China platform with yuan pricing\n\n## Questions\n\n### Which is better for AI agents, Prism Inference or StepFun API?\n\nPrism Inference scores 60.1 (C) on agent readiness against StepFun API's 44.4 (E), and leads in 5 of 7 scored categories.\n\n### Do Prism Inference and StepFun API need an API key?\n\nBoth need an API key.\n\n### Can an agent call Prism Inference and StepFun API without installing anything?\n\nYes. Prism Inference has a hosted endpoint at https://api.prisminference.com/v1 and StepFun API at https://api.stepfun.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"prism-inference\", \"b\": \"stepfun-api\"}`. From a terminal: `anchor compare prism-inference stepfun-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/prism-inference.json and https://www.anchorterminal.com/api/v1/tools/stepfun-api.json\n\n## Other comparisons with Prism Inference or StepFun API\n\n- [Claude API vs Prism Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.md)\n- [Claude API vs StepFun API](https://www.anchorterminal.com/compare/anthropic-api-vs-stepfun-api.md)\n- [Antseed vs Prism Inference](https://www.anchorterminal.com/compare/antseed-vs-prism-inference.md)\n- [Antseed vs StepFun API](https://www.anchorterminal.com/compare/antseed-vs-stepfun-api.md)\n- [BlockRun.AI vs Prism Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.md)\n- [BlockRun.AI vs StepFun API](https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api.md)\n- [Cloudflare AI Gateway vs Prism Inference](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference.md)\n- [Cloudflare AI Gateway vs StepFun API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-stepfun-api.md)\n- [Cloudflare Workers AI vs Prism Inference](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference.md)\n- [Cloudflare Workers AI vs StepFun API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api.md)\n- [Cohere Chat API (Command models) vs Prism Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.md)\n- [Cohere Chat API (Command models) vs StepFun API](https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api.md)\n- [DeepInfra vs Prism Inference](https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.md)\n- [DeepInfra vs StepFun API](https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api.md)\n- [DeepSeek API vs Prism Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.md)\n- [DeepSeek API vs StepFun API](https://www.anchorterminal.com/compare/deepseek-api-vs-stepfun-api.md)\n- [Gemini Developer API vs Prism Inference](https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.md)\n- [Gemini Developer API vs StepFun API](https://www.anchorterminal.com/compare/gemini-api-vs-stepfun-api.md)\n- [GroqCloud vs Prism Inference](https://www.anchorterminal.com/compare/groq-vs-prism-inference.md)\n- [GroqCloud vs StepFun API](https://www.anchorterminal.com/compare/groq-vs-stepfun-api.md)\n- [Mistral AI API vs Prism Inference](https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.md)\n- [Mistral AI API vs StepFun API](https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api.md)\n- [Novita AI vs Prism Inference](https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference.md)\n- [Novita AI vs StepFun API](https://www.anchorterminal.com/compare/novita-ai-vs-stepfun-api.md)\n- [OpenAI API vs Prism Inference](https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.md)\n- [OpenAI API vs StepFun API](https://www.anchorterminal.com/compare/openai-api-vs-stepfun-api.md)\n- [OpenRouter vs Prism Inference](https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.md)\n- [OpenRouter vs StepFun API](https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api.md)\n- [Prism Inference vs SiliconFlow](https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.md)\n- [SambaCloud vs StepFun API](https://www.anchorterminal.com/compare/sambanova-vs-stepfun-api.md)\n- [SiliconFlow vs StepFun API](https://www.anchorterminal.com/compare/siliconflow-vs-stepfun-api.md)\n- [Prism Inference vs SambaCloud](https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.md)\n",
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    "description": "Prism Inference scores 60.1 (C) to StepFun's 44.4 (E) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.",
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      "StepFun API E 44.4",
      "scores"
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    "h1": "Prism Inference vs StepFun API",
    "image": "https://www.anchorterminal.com/assets/og/compare-prism-inference-vs-stepfun-api.png",
    "path": "/compare/prism-inference-vs-stepfun-api",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Prism Inference vs StepFun for AI agents in 2026: scores and prices",
    "toc": null,
    "updated": "2026-10-12",
    "url": "https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api"
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