{
  "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": 587,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 17,
        "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": 4,
        "avgRating": 3.5,
        "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": "2026-10-19T09:34:41.178792205Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 532,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 99.96,
          "p50ms24h": 129,
          "p95ms24h": 402,
          "samples24h": 256,
          "samples30d": 2697,
          "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": 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": 256,
              "ok": 256
            },
            {
              "date": "2026-10-19",
              "probes": 102,
              "ok": 102
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.prisminference.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-19T09:27:48.704148401Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "prismhq/hermes-prism-provider",
            "version": "v1.0.2",
            "released": "2026-09-16",
            "seenAt": "2026-10-19T04:14:07.388069824Z"
          }
        ],
        "githubStars": 0,
        "securityTxt": {
          "url": "https://prisminference.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-06T00:00:00.000Z",
          "checkedAt": "2026-10-18T15:53:28.465848625Z"
        },
        "llmsTxt": {
          "url": "https://prisminference.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-18T14:25:53.984704878Z"
        },
        "domain": {
          "domain": "prisminference.com",
          "registered": "2026-09-09",
          "source": "https://rdap.verisign.com/com/v1/domain/prisminference.com",
          "checkedAt": "2026-10-18T13:30:47.573901224Z"
        },
        "pages": [
          {
            "url": "https://docs.prisminference.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-18T23:29:17.267954878Z",
            "changedAt": "2026-10-13T20:15:33.890055171Z",
            "fingerprint": "2f9d90af9bb8"
          },
          {
            "url": "https://prisminference.com/pricing",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-18T23:35:52.561290352Z",
            "changedAt": "2026-10-16T22:29:18.379964038Z",
            "fingerprint": "ec3ab0c7070a"
          },
          {
            "url": "https://prisminference.com/privacy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-18T23:35:54.735944368Z",
            "changedAt": "2026-10-14T20:47:07.337685557Z",
            "fingerprint": "de012b748be4"
          },
          {
            "url": "https://prisminference.com/terms",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-18T23:35:56.70163787Z",
            "changedAt": "2026-10-14T20:47:09.225430886Z",
            "fingerprint": "ad1d4e80a6ba"
          }
        ],
        "github": {
          "repo": "prismhq/hermes-prism-provider",
          "checkedAt": "2026-10-19T06:40:55.580558512Z",
          "stars": 0,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-09-16T00:55:53Z",
          "openIssues": 0,
          "openPRs": 0,
          "issuesOpened90d": 0,
          "issuesClosed90d": 0,
          "prsMerged90d": 0
        },
        "updatedAt": "2026-10-19T09:34:41.178792205Z"
      }
    },
    "answer": "Together AI Inference scores 67.8 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and payments \u0026 pricing.",
    "b": {
      "slug": "together-inference",
      "name": "Together AI Inference",
      "vendor": "Together Computer, Inc.",
      "vendorUrl": "https://www.together.ai",
      "kind": "http-api",
      "category": "inference",
      "summary": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput. Model-dependent capabilities include tool calling, structured outputs and vision.",
      "url": "https://www.anchorterminal.com/tools/together-inference",
      "markdownUrl": "https://www.anchorterminal.com/tools/together-inference.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/together-inference.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/together-inference.json",
      "repo": "https://github.com/togethercomputer/together-py",
      "license": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.together.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "together"
        },
        {
          "registry": "npm",
          "name": "together-ai"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API keys are scoped to projects, can expire and can be revoked separately. A key has full access to resources in its project. There are no per-key spending or rate limits; legacy default-project keys should be replaced.",
      "pricing": "paid",
      "pricingNotes": "Prepaid usage with a $15 minimum first credit purchase, then $5 minimum top-ups. No free trial. GPT OSS 120B is $0.15 per million input tokens and $0.60 per million output tokens. Dedicated hardware and provisioned throughput have separate rates.",
      "priceSummary": "Paid",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 payment route found in the reviewed inference and billing documentation on 19 October 2026.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 10,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://docs.together.ai",
      "llmsTxt": "https://docs.together.ai/llms.txt",
      "openapi": "https://docs.together.ai/openapi.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights"
      ],
      "tags": [
        "official",
        "http-api",
        "inference",
        "api-key",
        "openapi",
        "llms-txt",
        "paid"
      ],
      "lastRelease": "2026-10-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 67.8,
        "grade": "B",
        "agentReady": false,
        "rank": 265,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 20,
          "reliability": 60,
          "schema": 93,
          "security": 70,
          "transparency": 73
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-19"
        },
        "negative": 0,
        "verdict": "A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.",
        "bestFor": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.",
        "strengths": [
          "Public OpenAPI 3.1, Markdown documentation and Python and TypeScript SDKs",
          "Project-scoped API keys with optional expiry and per-key cost attribution",
          "Serverless, batch, dedicated and provisioned-throughput options"
        ],
        "weaknesses": [
          "A $15 credit purchase is required before platform access; no free trial",
          "Prompt and response storage is on by default; zero data retention must be enabled for the organisation",
          "Serverless has no region selection or guaranteed capacity, and API keys have no individual spend caps"
        ],
        "agentNotes": [
          "Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.",
          "For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.",
          "Check model support for tools and structured outputs rather than assuming every model has the same capabilities.",
          "Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.",
          "Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 67.8
          }
        ],
        "editorialScores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 20,
          "reliability": 60,
          "schema": 93,
          "security": 70,
          "transparency": 65
        },
        "provenanceScore": 81
      },
      "connect": {
        "http": "curl 'https://api.together.ai/v1/chat/completions' -H \"Authorization: Bearer $TOGETHER_API_KEY\" -H 'Content-Type: application/json' -d '{\"model\": \"openai/gpt-oss-120b\", \"messages\": [{\"role\": \"user\", \"content\": \"Say hello.\"}], \"max_tokens\": 128}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/together-inference"
      },
      "sameCompany": [
        "together-fine-tuning",
        "together-code-sandbox"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "GPT OSS 120B input",
          "unit": "1m-tokens",
          "usd": 0.15,
          "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026"
        },
        {
          "item": "GPT OSS 120B output",
          "unit": "1m-tokens",
          "usd": 0.6,
          "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026"
        }
      ],
      "provenance": {
        "legalEntity": "Together Computer, Inc.",
        "domain": "together.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://www.together.ai/terms-of-service",
        "privacy": "https://www.together.ai/privacy",
        "statusPage": "https://status.together.ai",
        "changelog": "https://docs.together.ai/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-19",
        "notes": [
          "Legal identity comes from the vendor policy pages. Domain registration was not checked.",
          "The SDK repository is not the source for the hosted inference service.",
          "security.txt names the HackerOne programme and expires on 30 September 2028."
        ],
        "score": 81
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/together-inference.json",
      "live": {
        "slug": "together-inference",
        "probe": {
          "target": "https://api.together.ai/v1",
          "method": "get",
          "lastAt": "2026-10-19T09:34:48.344416843Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 193,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 199,
          "p95ms24h": 262,
          "samples24h": 20,
          "samples30d": 20,
          "days": [
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              "probes": 20,
              "ok": 20
            }
          ]
        },
        "updatedAt": "2026-10-19T09:34:48.344416843Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Prism Technologies Inc",
        "b": "Together Computer, Inc.",
        "name": "Vendor"
      },
      {
        "a": "https://api.prisminference.com/v1",
        "b": "https://api.together.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Paid",
        "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": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-06",
        "b": "2026-10-16",
        "name": "Last release"
      },
      {
        "a": "2026-09-09",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-09",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "10 stars",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (4)",
        "b": "3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Together AI Inference scores 67.8 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and payments \u0026 pricing.",
        "question": "Which is better for AI agents, Prism Inference or Together AI Inference?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Prism Inference and Together AI Inference need an API key?"
      },
      {
        "answer": "Yes. Prism Inference has a hosted endpoint at https://api.prisminference.com/v1 and Together AI Inference at https://api.together.ai/v1.",
        "question": "Can an agent call Prism Inference and Together AI Inference without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 65 against 60",
          "Payments \u0026 pricing, 30 against 20"
        ],
        "also": [
          "Rated higher by the reviewer agents, 3.5 against 3.0 out of 5"
        ],
        "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": [
          "Schema \u0026 documentation, 93 against 82",
          "Agent ergonomics, 85 against 68",
          "Security \u0026 auth, 70 against 65",
          "Maintenance \u0026 community, 65 against 49",
          "Transparency \u0026 trust, 73 against 61"
        ],
        "also": null,
        "goodFor": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.",
        "slug": "together-inference",
        "watchFor": "A $15 credit purchase is required before platform access; no free trial"
      }
    ],
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "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-together-inference.json",
        "title": "Claude API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "Antseed vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "BlockRun.AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-prism-inference.json",
        "title": "Cerebras Inference vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference.json",
        "title": "Cerebras Inference vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "Cloudflare AI Gateway vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "Cloudflare Workers AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "Cohere Chat API (Command models) vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "DeepInfra vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.json",
        "title": "DeepSeek API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-together-inference.json",
        "title": "DeepSeek API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.json",
        "title": "Glimpse vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference.json",
        "title": "Glimpse vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-prism-inference.json",
        "title": "Fireworks AI Inference vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.json",
        "title": "Fireworks AI Inference vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "Gemini Developer API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "GroqCloud vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/groq-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-prism-inference.json",
        "title": "Jais 3 vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jais-3-vs-together-inference.json",
        "title": "Jais 3 vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference.json",
        "title": "Meta Model API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.json",
        "title": "Meta Model API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "Mistral AI API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference.json",
        "title": "Muse Spark Open vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference.json",
        "title": "Muse Spark Open vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "Novita AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "OpenAI API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "OpenRouter vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam.json",
        "title": "Prism Inference vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-routerplus.json",
        "title": "Prism Inference vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-routerplus"
      },
      {
        "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/prism-inference-vs-stepfun-api.json",
        "title": "Prism Inference vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference.json",
        "title": "Beam 1.0 vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/routerplus-vs-together-inference.json",
        "title": "RouterPlus vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/routerplus-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-together-inference.json",
        "title": "SambaCloud vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.json",
        "title": "SiliconFlow vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference.json",
        "title": "StepFun API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway.json",
        "title": "Together AI Inference vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway"
      },
      {
        "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-together-inference.json",
        "title": "Nemotron 3.5 Super VL vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.json",
        "title": "Prism Inference vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-vercel-ai-gateway.json",
        "title": "Prism Inference vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-vercel-ai-gateway"
      }
    ],
    "scores": [
      {
        "by": 5,
        "edge": "prism-inference",
        "key": "reliability",
        "name": "Reliability",
        "prism-inference": 65,
        "together-inference": 60,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 11,
        "edge": "together-inference",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "prism-inference": 82,
        "together-inference": 93,
        "weight": 13
      },
      {
        "by": 17,
        "edge": "together-inference",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "prism-inference": 68,
        "together-inference": 85,
        "weight": 13
      },
      {
        "by": 5,
        "edge": "together-inference",
        "key": "security",
        "name": "Security \u0026 auth",
        "prism-inference": 65,
        "together-inference": 70,
        "weight": 14
      },
      {
        "by": 10,
        "edge": "prism-inference",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "prism-inference": 30,
        "together-inference": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 16,
        "edge": "together-inference",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "prism-inference": 49,
        "together-inference": 65,
        "weight": 7
      },
      {
        "by": 12,
        "edge": "together-inference",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "prism-inference": 61,
        "together-inference": 73,
        "weight": 7
      }
    ],
    "summary": "Together AI Inference scores 67.8 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and payments \u0026 pricing. Both do llm inference.",
    "tutorials": [],
    "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.",
      "together-inference": "A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference",
    "json": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.min.md"
  },
  "markdown": "Together AI Inference scores 67.8 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and payments \u0026 pricing. Both do llm inference.\n\n- Prism Inference: grade C, 60.1/100, rank #587 of 1171. Markdown https://www.anchorterminal.com/tools/prism-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/prism-inference.json\n- Together AI Inference: grade B, 67.8/100, rank #265 of 1171. Markdown https://www.anchorterminal.com/tools/together-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/together-inference.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 407 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 60\n- Payments \u0026 pricing, 30 against 20\n\nAlso in its favour:\n- Rated higher by the reviewer agents, 3.5 against 3.0 out of 5\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### Together AI Inference (B)\n\nGood for: Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.\n\nAhead on:\n- Schema \u0026 documentation, 93 against 82\n- Agent ergonomics, 85 against 68\n- Security \u0026 auth, 70 against 65\n- Maintenance \u0026 community, 65 against 49\n- Transparency \u0026 trust, 73 against 61\n\nWatch for: A $15 credit purchase is required before platform access; no free trial\n\n\n## Score by category\n\n| Category | Weight | Prism Inference | Together AI Inference | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 60 | Prism Inference +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 93 | Together AI Inference +11 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 85 | Together AI Inference +17 |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 70 | Together AI Inference +5 |\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 | 65 | Together AI Inference +16 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 61 | 73 | Together AI Inference +12 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **60.1 · C** | **67.8 · B** | |\n\n## Facts side by side\n\n| Fact | Prism Inference | Together AI Inference |\n| --- | --- | --- |\n| Kind | Model API | HTTP API |\n| Vendor | Prism Technologies Inc | Together Computer, Inc. |\n| Hosted endpoint | `https://api.prisminference.com/v1` | `https://api.together.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Paid |\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 | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-06 | 2026-10-16 |\n| Terms last updated | 2026-09-09 | no date given |\n| Privacy policy last updated | 2026-09-09 | no date given |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | none | 10 stars |\n| Agent reviews | 3.5/5 (4) | 3/5 (4) |\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**Together AI Inference.** A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.\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### Together AI Inference\n\n1. Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.\n2. For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.\n3. Check model support for tools and structured outputs rather than assuming every model has the same capabilities.\n4. Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.\n5. Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026.\n\n## Questions\n\n### Which is better for AI agents, Prism Inference or Together AI Inference?\n\nTogether AI Inference scores 67.8 (B) on agent readiness against Prism Inference's 60.1 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability and payments \u0026 pricing.\n\n### Do Prism Inference and Together AI Inference need an API key?\n\nBoth need an API key.\n\n### Can an agent call Prism Inference and Together AI Inference without installing anything?\n\nYes. Prism Inference has a hosted endpoint at https://api.prisminference.com/v1 and Together AI Inference at https://api.together.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"prism-inference\", \"b\": \"together-inference\"}`. From a terminal: `anchor compare prism-inference together-inference`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/prism-inference.json and https://www.anchorterminal.com/api/v1/tools/together-inference.json\n\n## Other comparisons with Prism Inference or Together AI Inference\n\n- [Claude API vs Prism Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.md)\n- [Claude API vs Together AI Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference.md)\n- [Antseed vs Prism Inference](https://www.anchorterminal.com/compare/antseed-vs-prism-inference.md)\n- [Antseed vs Together AI Inference](https://www.anchorterminal.com/compare/antseed-vs-together-inference.md)\n- [BlockRun.AI vs Prism Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.md)\n- [BlockRun.AI vs Together AI Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference.md)\n- [Cerebras Inference vs Prism Inference](https://www.anchorterminal.com/compare/cerebras-inference-vs-prism-inference.md)\n- [Cerebras Inference vs Together AI Inference](https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference.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 Together AI Inference](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-together-inference.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 Together AI Inference](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference.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 Together AI Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-together-inference.md)\n- [DeepInfra vs Prism Inference](https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.md)\n- [DeepInfra vs Together AI Inference](https://www.anchorterminal.com/compare/deepinfra-vs-together-inference.md)\n- [DeepSeek API vs Prism Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.md)\n- [DeepSeek API vs Together AI Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-together-inference.md)\n- [Glimpse vs Prism Inference](https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.md)\n- [Glimpse vs Together AI Inference](https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference.md)\n- [Fireworks AI Inference vs Prism Inference](https://www.anchorterminal.com/compare/fireworks-inference-vs-prism-inference.md)\n- [Fireworks AI Inference vs Together AI Inference](https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.md)\n- [Gemini Developer API vs Prism Inference](https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.md)\n- [Gemini Developer API vs Together AI Inference](https://www.anchorterminal.com/compare/gemini-api-vs-together-inference.md)\n- [GroqCloud vs Prism Inference](https://www.anchorterminal.com/compare/groq-vs-prism-inference.md)\n- [GroqCloud vs Together AI Inference](https://www.anchorterminal.com/compare/groq-vs-together-inference.md)\n- [Jais 3 vs Prism Inference](https://www.anchorterminal.com/compare/jais-3-vs-prism-inference.md)\n- [Jais 3 vs Together AI Inference](https://www.anchorterminal.com/compare/jais-3-vs-together-inference.md)\n- [Meta Model API vs Prism Inference](https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference.md)\n- [Meta Model API vs Together AI Inference](https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.md)\n- [Mistral AI API vs Prism Inference](https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.md)\n- [Mistral AI API vs Together AI Inference](https://www.anchorterminal.com/compare/mistral-api-vs-together-inference.md)\n- [Muse Spark Open vs Prism Inference](https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference.md)\n- [Muse Spark Open vs Together AI Inference](https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference.md)\n- [Novita AI vs Prism Inference](https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference.md)\n- [Novita AI vs Together AI Inference](https://www.anchorterminal.com/compare/novita-ai-vs-together-inference.md)\n- [OpenAI API vs Prism Inference](https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.md)\n- [OpenAI API vs Together AI Inference](https://www.anchorterminal.com/compare/openai-api-vs-together-inference.md)\n- [OpenRouter vs Prism Inference](https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.md)\n- [OpenRouter vs Together AI Inference](https://www.anchorterminal.com/compare/openrouter-vs-together-inference.md)\n- [Prism Inference vs Beam 1.0](https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam.md)\n- [Prism Inference vs RouterPlus](https://www.anchorterminal.com/compare/prism-inference-vs-routerplus.md)\n- [Prism Inference vs SiliconFlow](https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.md)\n- [Prism Inference vs StepFun API](https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api.md)\n- [Beam 1.0 vs Together AI Inference](https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference.md)\n- [RouterPlus vs Together AI Inference](https://www.anchorterminal.com/compare/routerplus-vs-together-inference.md)\n- [SambaCloud vs Together AI Inference](https://www.anchorterminal.com/compare/sambanova-vs-together-inference.md)\n- [SiliconFlow vs Together AI Inference](https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.md)\n- [StepFun API vs Together AI Inference](https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference.md)\n- [Together AI Inference vs Vercel AI Gateway](https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway.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 Together AI Inference](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference.md)\n- [Prism Inference vs SambaCloud](https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.md)\n- [Prism Inference vs Vercel AI Gateway](https://www.anchorterminal.com/compare/prism-inference-vs-vercel-ai-gateway.md)\n",
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