{
  "data": {
    "a": {
      "slug": "gliclass",
      "name": "GLiClass",
      "vendor": "Knowledgator",
      "vendorUrl": "https://www.knowledgator.com",
      "kind": "model",
      "category": "decision-models",
      "summary": "GLiClass is an open-source Python library and family of open-weight zero-shot text classifiers from Knowledgator. It scores every candidate label in one forward pass and runs locally through a pipeline or a Ray Serve endpoint.",
      "url": "https://www.anchorterminal.com/tools/gliclass",
      "markdownUrl": "https://www.anchorterminal.com/tools/gliclass.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gliclass.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gliclass.json",
      "repo": "https://github.com/Knowledgator/GLiClass",
      "license": "Apache-2.0 (library and the model weights we checked)",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "gliclass"
        }
      ],
      "auth": "none",
      "authNotes": "No account or key. The weights are public and ungated on Hugging Face. The bundled Ray Serve deployment has no authentication of any kind, and `python -m gliclass.serve` binds to 0.0.0.0 unless `--host` is passed, so the owner has to restrict the port.",
      "pricing": "free",
      "pricingNotes": "Free and open source, with nothing to buy for the library or the weights. Hardware is the owner's cost. Knowledgator's site links a hosted platform with plans at platform.knowledgator.com, which we couldn't reach on 8 October 2026, so whether it serves GLiClass and at what price is unchecked.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. GLiClass is software the owner runs, and its server has no payment route (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 555,
        "npmWeekly": null,
        "pypiWeekly": 13204,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.knowledgator.com/docs/frameworks/gliclass/",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python",
        "no-auth"
      ],
      "lastRelease": "2026-07-21",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 49.9,
        "grade": "D",
        "agentReady": false,
        "rank": 884,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 16,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 60,
          "maintenance": 44,
          "payments": 60,
          "reliability": 43,
          "schema": 49,
          "security": 38,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "An Apache-2.0 classifier that scores a whole label set in one encoder pass on the owner's hardware, with single-label, multi-label, hierarchical and few-shot modes. It returns label scores with no calibration claim, the bundled server has no authentication, and the last three test runs on the main branch, on 24 September 2026, failed.",
        "bestFor": "Topic, intent and sentiment routing over a known label set on the owner's own CPU or GPU, where many labels must be scored at once.",
        "strengths": [
          "Apache-2.0 code and weights, with `train.py`, the training datasets named on the model cards and an arXiv paper (2508.07662)",
          "One forward pass scores every label. The base v3.0 card reports 51.6 examples a second averaged over 1 to 128 labels on an A6000 (vendor figures)",
          "Single-label (softmax) and multi-label (sigmoid) modes, hierarchical label sets, task prompts and few-shot examples in one pipeline call",
          "A Ray Serve deployment with dynamic batching ships in the `gliclass[serve]` extra, with a documented request table for `POST /gliclass`",
          "31 public, ungated GLiClass checkpoints on Hugging Face, from 32.7M to 439M parameters, as safetensors"
        ],
        "weaknesses": [
          "No calibration evidence. The cards report F1 only, and the docs tell users to calibrate thresholds on their own traffic",
          "The bundled server has no authentication, and `python -m gliclass.serve` binds to 0.0.0.0 by default",
          "The last three runs of the Tests workflow on main, all on 24 September 2026, failed",
          "Still 0.1.x with no changelog file. 0.1.18 raised the `transformers` floor to 5.0, and issue #44 on v5 loading has been open since 6 July 2026",
          "No OpenAPI file, no llms.txt, no SECURITY.md and no documented error responses"
        ],
        "agentNotes": [
          "Pass `--host 127.0.0.1` to `python -m gliclass.serve`, or put the port behind your own gateway. The server checks no credential",
          "On a machine without a GPU add `--device cpu --dtype float32 --num-gpus-per-replica 0`. The default configuration expects CUDA",
          "Send one text a request to `POST /gliclass`. An array in `texts` is cut to its first item without an error",
          "Set `multi_label` to false for one label from a set. The default scores each label independently, so scores do not sum to 1",
          "Keep text plus labels under the pipeline's 1,024-token `max_length`, or use `ZeroShotClassificationWithChunkingPipeline`. Longer input is truncated silently"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 49.9
          }
        ],
        "editorialScores": {
          "ergonomics": 60,
          "maintenance": 44,
          "payments": 60,
          "reliability": 43,
          "schema": 49,
          "security": 38,
          "transparency": 60
        },
        "provenanceScore": 68
      },
      "connect": {
        "install": "pip install gliclass",
        "http": "pip install \"gliclass[serve]\"\npython -m gliclass.serve --model knowledgator/gliclass-edge-v3.0 --port 8000\ncurl -X POST http://localhost:8000/gliclass \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"text\": \"This is a great product.\", \"labels\": [\"positive\", \"negative\", \"neutral\"], \"threshold\": 0.3, \"multi_label\": true}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/gliclass"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Knowledgator Engineering Ltd.",
        "domain": "knowledgator.com",
        "domainRegistered": "2021-06-25",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/Knowledgator/GLiClass/releases",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The terms of use and privacy policy linked from knowledgator.com name Knowledgator Engineering Ltd., London, United Kingdom. Both are dated 21 September 2023.",
          "Those two documents govern the website and Knowledgator's hosted services, not the library, so `terms` and `privacy` are left out. The Apache-2.0 licence governs what an agent would run.",
          "Software the owner runs, so there is no hosted endpoint and no status page for it.",
          "www.knowledgator.com/.well-known/security.txt returns 404, and the repository has no SECURITY.md.",
          "RDAP for knowledgator.com gives a registration date of 2021-06-25.",
          "The code is on github.com under the Knowledgator organisation and the weights on huggingface.co under knowledgator."
        ],
        "score": 68
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/gliclass.json",
      "live": {
        "slug": "gliclass",
        "versions": [
          {
            "registry": "github",
            "name": "Knowledgator/GLiClass",
            "version": "v0.1.20",
            "released": "2026-07-21",
            "seenAt": "2026-10-17T01:50:23.535545243Z"
          },
          {
            "registry": "pypi",
            "name": "gliclass",
            "version": "0.1.21",
            "released": "2026-10-16",
            "seenAt": "2026-10-17T01:50:23.412045Z"
          }
        ],
        "githubStars": 561,
        "pypiWeekly": 11944,
        "securityTxt": {
          "url": "https://knowledgator.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-17T15:51:57.107713982Z"
        },
        "domain": {
          "domain": "knowledgator.com",
          "registered": "2021-06-25",
          "source": "https://rdap.verisign.com/com/v1/domain/knowledgator.com",
          "checkedAt": "2026-10-11T13:24:38.717810411Z"
        },
        "updatedAt": "2026-10-17T15:51:57.107713982Z"
      }
    },
    "answer": "pplx-decider-flash scores 67.9 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing.",
    "b": {
      "slug": "pplx-decider-flash",
      "name": "pplx-decider-flash",
      "vendor": "Perplexity",
      "vendorUrl": "https://www.perplexity.ai/",
      "kind": "model",
      "category": "decision-models",
      "summary": "pplx-decider-flash is Perplexity's 4B decision model, a Qwen3.5-4B fine-tune distilled from the 27B pplx-decider. It answers yes or no, choice and score questions about text, JSON and images with probabilities, through the hosted Decisions API or open weights.",
      "url": "https://www.anchorterminal.com/tools/pplx-decider-flash",
      "markdownUrl": "https://www.anchorterminal.com/tools/pplx-decider-flash.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/pplx-decider-flash.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/pplx-decider-flash.json",
      "repo": "https://huggingface.co/perplexity-ai/pplx-decider-flash-v1.2",
      "license": "Apache-2.0 for the published weights and inference code. The hosted Decisions API is a proprietary service",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.perplexity.ai/v1/decisions",
      "packages": [],
      "auth": "api-key",
      "authNotes": "Hosted API. Bearer Perplexity API key in the `Authorization` header, the same key as for the 27B model. A key sent in `x-api-key` returns 401. Keys are created in the API console after a project exists, are shown once, and can be generated and revoked through `/generate_auth_token` and `/revoke_auth_token`, per the 9 October check. No per-key scopes were found. Weights. The Hugging Face repository is public and not gated, although its model card still says to authenticate with a Hugging Face token.",
      "pricing": "usage",
      "pricingNotes": "$0.01 per million input tokens on Perplexity's Decisions API for `pplx-decider-flash-v1.2`, half the 27B model's price. Output tokens are free and there is no per-request fee. Usage draws on prepaid credits, and the billing guide asked for a credit card on 9 October 2026. No free allowance was found. The weights are free to download and need a CUDA GPU with about 9 GiB for BF16 weights.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the Decisions API guide, the reference, the pricing page or llms.txt, read on 17 October 2026.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-17"
      },
      "docsUrl": "https://docs.perplexity.ai/docs/decisions/quickstart",
      "llmsTxt": "https://docs.perplexity.ai/llms.txt",
      "openapi": "https://docs.perplexity.ai/openapi.json",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "open-weights",
        "multimodal",
        "openapi",
        "llms-txt",
        "usage-priced",
        "status-page"
      ],
      "lastRelease": "2026-10-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 67.9,
        "grade": "B",
        "agentReady": false,
        "rank": 260,
        "ranked": true,
        "rankOf": 1133,
        "categoryRank": 6,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 81,
          "maintenance": 67,
          "payments": 25,
          "reliability": 66,
          "schema": 89,
          "security": 68,
          "transparency": 71
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": 0,
        "verdict": "pplx-decider-flash runs on the same hosted Decisions API as the 27B model, with an OpenAPI description, typed questions, Python and TypeScript SDK methods and $0.01 per million input tokens, and its weights are public under Apache-2.0. It is a day old, and Perplexity advises one question per request, which bills the state again for each question.",
        "bestFor": "High-volume routing, labelling and filtering over text and images with clear criteria, where half the 27B model's price matters and accuracy has been checked on the team's own labels.",
        "strengths": [
          "$0.01 per million input tokens, half the 27B model's price, with free output and no per-request fee",
          "Apache-2.0 weights of 4.54 billion parameters that need a GPU with about 9 GiB for BF16 weights",
          "Same request and response as `pplx-decider-v1.2`, so switching is a change to `model`",
          "Highest Full score of the roughly 4B entrants on Decision Index 0.3.2 of 16 October 2026, 54.81 against 52.61 for the next",
          "Callable through `client.decisions.create` in the official Python and TypeScript SDKs"
        ],
        "weaknesses": [
          "Released on 16 October 2026, with no service record of its own and no Decisions component on the status page",
          "Grouping questions costs up to 20.1 points on one benchmark by Perplexity's figures, so one question per request is the advised default",
          "On the Decision Index's Full score it trails the 27B v1.2 by 10.74 points, 54.81 against 65.55",
          "The `pplx-decider-flash-latest` alias can move to a newer model, and a retired name routes to its replacement with no notice period",
          "The FAQ and the Privacy and Security page disagree on whether API data is retained by default"
        ],
        "agentNotes": [
          "Send `Authorization: Bearer` with `model` set to `pplx-decider-flash-v1.2`. A key in `x-api-key` returns 401.",
          "Send one question per request by default. Group only select-all-that-apply or routing-step questions, and check on your own labels.",
          "Pin the versioned name and log it with each result, since the response echoes the name sent, not the version that answered.",
          "Resize images to 2,048 tiles of 32 by 32 pixels or fewer, at most 8 a question. Larger images end in a 504 after about a minute.",
          "Compare it with `pplx-decider-v1.2` on a labelled sample at your thresholds before choosing it."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 67.9
          }
        ],
        "editorialScores": {
          "ergonomics": 81,
          "maintenance": 67,
          "payments": 25,
          "reliability": 66,
          "schema": 89,
          "security": 68,
          "transparency": 60
        },
        "provenanceScore": 82
      },
      "connect": {
        "http": "curl -X POST https://api.perplexity.ai/v1/decisions \\\n  -H \"Authorization: Bearer $PERPLEXITY_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"pplx-decider-flash-v1.2\",\"state\":\"The headphones sound great, but the battery stopped charging after two weeks.\",\"questions\":{\"defect\":{\"type\":\"noul\",\"instructions\":\"Does the review report a product defect?\"}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/pplx-decider-flash"
      },
      "sameCompany": [
        "perplexity-space",
        "pplx-decider"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Decision input",
          "unit": "1m-tokens",
          "usd": 0.01,
          "note": "`pplx-decider-flash-v1.2` and its alias. State, questions and images count as input."
        },
        {
          "item": "Decision output",
          "unit": "1m-tokens",
          "usd": 0,
          "note": "Output tokens are free. No per-request fee."
        }
      ],
      "provenance": {
        "legalEntity": "Perplexity AI, Inc.",
        "domain": "perplexity.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://www.perplexity.ai/hub/legal/perplexity-api-terms-of-service",
        "privacy": "https://www.perplexity.ai/hub/legal/privacy-notice",
        "statusPage": "https://status.perplexity.com/",
        "changelog": "https://docs.perplexity.ai/docs/resources/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-17",
        "notes": [
          "The Perplexity API Terms of Service (last updated 23 January 2026) and the Data Processing Addendum (13 August 2026) name Perplexity AI, Inc. and California law. www.perplexity.ai served both pages on 17 October 2026, after answering with a bot check (403) on 9 October.",
          "The API terms name the Sonar and Agentic Research APIs and do not name the Decisions API. The privacy notice (8 July 2026) says it does not apply to data collected through the API, which the DPA governs.",
          "www.perplexity.ai/.well-known/security.txt is valid until 31 December 2027 and links a security page that names a public vulnerability disclosure programme and a private bug bounty on Bugcrowd.",
          "The status page lists Website, App, Computer and API components, with no Decisions component.",
          "The changelog dates entries by month. The three Decisions entries are under October 2026.",
          "Domain registration was not checked."
        ],
        "score": 82
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/pplx-decider-flash.json",
      "live": {
        "slug": "pplx-decider-flash",
        "probe": {
          "target": "https://api.perplexity.ai/v1/decisions",
          "method": "get",
          "lastAt": "2026-10-18T00:31:03.716050404Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 326,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 160,
          "p95ms24h": 327,
          "samples24h": 32,
          "samples30d": 32,
          "days": [
            {
              "date": "2026-10-17",
              "probes": 26,
              "ok": 26
            },
            {
              "date": "2026-10-18",
              "probes": 6,
              "ok": 6
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.perplexity.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-18T00:21:09.756006599Z"
        },
        "pages": [
          {
            "url": "https://docs.perplexity.ai/docs/resources/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-17T23:01:40.882974894Z",
            "changedAt": "2026-10-17T23:01:40.882974894Z",
            "fingerprint": "f5be3184443a"
          },
          {
            "url": "https://www.perplexity.ai/hub/legal/privacy-notice",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-17T23:18:58.934806121Z",
            "changedAt": "2026-10-15T22:12:37.636317867Z",
            "fingerprint": "0f719c131ead"
          },
          {
            "url": "https://www.perplexity.ai/hub/legal/perplexity-api-terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-17T23:18:56.562928586Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "97ed3bd70fcf"
          }
        ],
        "updatedAt": "2026-10-18T00:31:03.716050404Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Knowledgator",
        "b": "Perplexity",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.perplexity.ai/v1/decisions",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "free",
        "b": "free",
        "name": "Price for decision models"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 (library and the model weights we checked)",
        "b": "Apache-2.0 for the published weights and inference code. The hosted Decisions API is a proprietary service",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-07-21",
        "b": "2026-10-16",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "555 stars, 13k PyPI/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "pplx-decider-flash scores 67.9 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, GLiClass or pplx-decider-flash?"
      },
      {
        "answer": "GLiClass, at free against free for pplx-decider-flash. These are the vendors' published prices for the job.",
        "question": "Which is cheaper for decision models, GLiClass or pplx-decider-flash?"
      },
      {
        "answer": "GLiClass needs no key. pplx-decider-flash needs an API key.",
        "question": "Do GLiClass and pplx-decider-flash need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for GLiClass. pplx-decider-flash has a hosted endpoint at https://api.perplexity.ai/v1/decisions.",
        "question": "Can an agent call GLiClass and pplx-decider-flash without installing anything?"
      },
      {
        "answer": "GLiClass is open source (Apache-2.0 (library and the model weights we checked)). No open-source release is listed for pplx-decider-flash.",
        "question": "Are GLiClass and pplx-decider-flash open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Payments \u0026 pricing, 60 against 25"
        ],
        "also": [
          "No key needed to call it",
          "Open source"
        ],
        "goodFor": "Topic, intent and sentiment routing over a known label set on the owner's own CPU or GPU, where many labels must be scored at once.",
        "slug": "gliclass",
        "watchFor": "No calibration evidence. The cards report F1 only, and the docs tell users to calibrate thresholds on their own traffic"
      },
      {
        "aheadOn": [
          "Reliability, 66 against 43",
          "Schema \u0026 documentation, 89 against 49",
          "Agent ergonomics, 81 against 60",
          "Security \u0026 auth, 68 against 38",
          "Maintenance \u0026 community, 67 against 44",
          "Transparency \u0026 trust, 71 against 64"
        ],
        "also": [
          "Cheaper for decision models, $0 against $0 per 1M tokens",
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "High-volume routing, labelling and filtering over text and images with clear criteria, where half the 27B model's price matters and accuracy has been checked on the team's own labels.",
        "slug": "pplx-decider-flash",
        "watchFor": "Released on 16 October 2026, with no service record of its own and no Decisions component on the status page"
      }
    ],
    "job": {
      "capability": "inference.decision",
      "name": "Decision models"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.json",
        "title": "Celeris-1 Decision vs GLiClass",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass"
      },
      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-pplx-decider-flash.json",
        "title": "Celeris-1 Decision vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass.json",
        "title": "Clef vs GLiClass",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-pplx-decider-flash.json",
        "title": "Clef vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.json",
        "title": "Laya vs GLiClass",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-gliclass"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider-flash.json",
        "title": "Laya vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-gliclass.json",
        "title": "Decider vs GLiClass",
        "url": "https://www.anchorterminal.com/compare/decider-vs-gliclass"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-pplx-decider-flash.json",
        "title": "Decider vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/decider-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decision-3-vs-gliclass.json",
        "title": "Decision 3.0 vs GLiClass",
        "url": "https://www.anchorterminal.com/compare/decision-3-vs-gliclass"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decision-3-vs-pplx-decider-flash.json",
        "title": "Decision 3.0 vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/decision-3-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-granite-switch.json",
        "title": "GLiClass vs Granite Switch 4.1",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-granite-switch"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.json",
        "title": "GLiClass vs Kev",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.json",
        "title": "GLiClass vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.json",
        "title": "GLiClass vs Microsoft-Decision-1",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.json",
        "title": "GLiClass vs Drex 1.5",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-nace-drex"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.json",
        "title": "GLiClass vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider.json",
        "title": "GLiClass vs pplx-decider",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-scaledown.json",
        "title": "GLiClass vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev.json",
        "title": "GLiClass vs SPEV",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.json",
        "title": "GLiClass vs kettei",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.json",
        "title": "GLiClass vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev.json",
        "title": "GLiClass vs Jev",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-vela.json",
        "title": "GLiClass vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-vela"
      },
      {
        "json": "https://www.anchorterminal.com/compare/granite-switch-vs-pplx-decider-flash.json",
        "title": "Granite Switch 4.1 vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/granite-switch-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-pplx-decider-flash.json",
        "title": "Kev vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider-flash.json",
        "title": "Liquid d1 vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-pplx-decider-flash.json",
        "title": "Microsoft-Decision-1 vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nace-drex-vs-pplx-decider-flash.json",
        "title": "Drex 1.5 vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/nace-drex-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-pplx-decider-flash.json",
        "title": "OpenAI Decisions API vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-pplx-decider-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-scaledown.json",
        "title": "pplx-decider-flash vs ScaleDown",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-scaledown"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sprag-spev.json",
        "title": "pplx-decider-flash vs SPEV",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sprag-spev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.json",
        "title": "pplx-decider-flash vs kettei",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-strands-decider.json",
        "title": "pplx-decider-flash vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-typesafe-jev.json",
        "title": "pplx-decider-flash vs Jev",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-vela.json",
        "title": "pplx-decider-flash vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-vela"
      },
      {
        "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-pplx-decider-flash.json",
        "title": "pplx-decider vs pplx-decider-flash",
        "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-pplx-decider-flash"
      }
    ],
    "scores": [
      {
        "by": 23,
        "edge": "pplx-decider-flash",
        "gliclass": 43,
        "key": "reliability",
        "name": "Reliability",
        "pplx-decider-flash": 66,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 40,
        "edge": "pplx-decider-flash",
        "gliclass": 49,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "pplx-decider-flash": 89,
        "weight": 13
      },
      {
        "by": 21,
        "edge": "pplx-decider-flash",
        "gliclass": 60,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "pplx-decider-flash": 81,
        "weight": 13
      },
      {
        "by": 30,
        "edge": "pplx-decider-flash",
        "gliclass": 38,
        "key": "security",
        "name": "Security \u0026 auth",
        "pplx-decider-flash": 68,
        "weight": 14
      },
      {
        "by": 35,
        "edge": "gliclass",
        "gliclass": 60,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "pplx-decider-flash": 25,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 23,
        "edge": "pplx-decider-flash",
        "gliclass": 44,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "pplx-decider-flash": 67,
        "weight": 7
      },
      {
        "by": 7,
        "edge": "pplx-decider-flash",
        "gliclass": 64,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "pplx-decider-flash": 71,
        "weight": 7
      }
    ],
    "summary": "pplx-decider-flash scores 67.9 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing. Both do decision models. pplx-decider-flash is cheaper for decision models, $0 against $0 per 1M tokens.",
    "tutorials": [],
    "verdicts": {
      "gliclass": "An Apache-2.0 classifier that scores a whole label set in one encoder pass on the owner's hardware, with single-label, multi-label, hierarchical and few-shot modes. It returns label scores with no calibration claim, the bundled server has no authentication, and the last three test runs on the main branch, on 24 September 2026, failed.",
      "pplx-decider-flash": "pplx-decider-flash runs on the same hosted Decisions API as the 27B model, with an OpenAPI description, typed questions, Python and TypeScript SDK methods and $0.01 per million input tokens, and its weights are public under Apache-2.0. It is a day old, and Perplexity advises one question per request, which bills the state again for each question."
    }
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  "links": {
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    "html": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider-flash",
    "json": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider-flash.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider-flash.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider-flash.min.md"
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  "markdown": "pplx-decider-flash scores 67.9 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing. Both do decision models. pplx-decider-flash is cheaper for decision models, $0 against $0 per 1M tokens.\n\n- GLiClass: grade D, 49.9/100, rank #884 of 1133. Markdown https://www.anchorterminal.com/tools/gliclass.md · JSON https://www.anchorterminal.com/api/v1/tools/gliclass.json\n- pplx-decider-flash: grade B, 67.9/100, rank #260 of 1133. Markdown https://www.anchorterminal.com/tools/pplx-decider-flash.md · JSON https://www.anchorterminal.com/api/v1/tools/pplx-decider-flash.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 190 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md\n\n## Which one, for what\n\n### GLiClass (D)\n\nGood for: Topic, intent and sentiment routing over a known label set on the owner's own CPU or GPU, where many labels must be scored at once.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 25\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: No calibration evidence. The cards report F1 only, and the docs tell users to calibrate thresholds on their own traffic\n\n### pplx-decider-flash (B)\n\nGood for: High-volume routing, labelling and filtering over text and images with clear criteria, where half the 27B model's price matters and accuracy has been checked on the team's own labels.\n\nAhead on:\n- Reliability, 66 against 43\n- Schema \u0026 documentation, 89 against 49\n- Agent ergonomics, 81 against 60\n- Security \u0026 auth, 68 against 38\n- Maintenance \u0026 community, 67 against 44\n- Transparency \u0026 trust, 71 against 64\n\nAlso in its favour:\n- Cheaper for decision models, $0 against $0 per 1M tokens\n- A hosted endpoint, with nothing to install\n\nWatch for: Released on 16 October 2026, with no service record of its own and no Decisions component on the status page\n\n\n## Score by category\n\n| Category | Weight | GLiClass | pplx-decider-flash | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 43 | 66 | pplx-decider-flash +23 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 49 | 89 | pplx-decider-flash +40 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 81 | pplx-decider-flash +21 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 68 | pplx-decider-flash +30 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 25 | GLiClass +35 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 44 | 67 | pplx-decider-flash +23 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 71 | pplx-decider-flash +7 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **49.9 · D** | **67.9 · B** | |\n\n## Facts side by side\n\n| Fact | GLiClass | pplx-decider-flash |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Knowledgator | Perplexity |\n| Hosted endpoint | no (local only) | `https://api.perplexity.ai/v1/decisions` |\n| Transports | HTTP | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| Price for decision models | free | free |\n| x402 | no | no |\n| Licence | Apache-2.0 (library and the model weights we checked) | Apache-2.0 for the published weights and inference code. The hosted Decisions API is a proprietary service |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-07-21 | 2026-10-16 |\n| Terms last updated | no document linked |  |\n| Privacy policy last updated | no document linked | couldn't be read |\n| Customer content may train models |  |  |\n| Terms restrict automated access |  |  |\n| Terms restrict benchmarking |  |  |\n| Terms or service can change without notice |  |  |\n| Arbitration or class-action waiver |  |  |\n| Popularity | 555 stars, 13k PyPI/wk | none |\n| Agent reviews | none | 3.3/5 (4) |\n\n## Verdicts\n\n**GLiClass.** An Apache-2.0 classifier that scores a whole label set in one encoder pass on the owner's hardware, with single-label, multi-label, hierarchical and few-shot modes. It returns label scores with no calibration claim, the bundled server has no authentication, and the last three test runs on the main branch, on 24 September 2026, failed.\n\n**pplx-decider-flash.** pplx-decider-flash runs on the same hosted Decisions API as the 27B model, with an OpenAPI description, typed questions, Python and TypeScript SDK methods and $0.01 per million input tokens, and its weights are public under Apache-2.0. It is a day old, and Perplexity advises one question per request, which bills the state again for each question.\n\n## Before you call either\n\n### GLiClass\n\n1. Pass `--host 127.0.0.1` to `python -m gliclass.serve`, or put the port behind your own gateway. The server checks no credential\n2. On a machine without a GPU add `--device cpu --dtype float32 --num-gpus-per-replica 0`. The default configuration expects CUDA\n3. Send one text a request to `POST /gliclass`. An array in `texts` is cut to its first item without an error\n4. Set `multi_label` to false for one label from a set. The default scores each label independently, so scores do not sum to 1\n5. Keep text plus labels under the pipeline's 1,024-token `max_length`, or use `ZeroShotClassificationWithChunkingPipeline`. Longer input is truncated silently\n\n### pplx-decider-flash\n\n1. Send `Authorization: Bearer` with `model` set to `pplx-decider-flash-v1.2`. A key in `x-api-key` returns 401.\n2. Send one question per request by default. Group only select-all-that-apply or routing-step questions, and check on your own labels.\n3. Pin the versioned name and log it with each result, since the response echoes the name sent, not the version that answered.\n4. Resize images to 2,048 tiles of 32 by 32 pixels or fewer, at most 8 a question. Larger images end in a 504 after about a minute.\n5. Compare it with `pplx-decider-v1.2` on a labelled sample at your thresholds before choosing it.\n\n## Questions\n\n### Which is better for AI agents, GLiClass or pplx-decider-flash?\n\npplx-decider-flash scores 67.9 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing.\n\n### Which is cheaper for decision models, GLiClass or pplx-decider-flash?\n\nGLiClass, at free against free for pplx-decider-flash. These are the vendors' published prices for the job.\n\n### Do GLiClass and pplx-decider-flash need an API key?\n\nGLiClass needs no key. pplx-decider-flash needs an API key.\n\n### Can an agent call GLiClass and pplx-decider-flash without installing anything?\n\nNo hosted endpoint is listed for GLiClass. pplx-decider-flash has a hosted endpoint at https://api.perplexity.ai/v1/decisions.\n\n### Are GLiClass and pplx-decider-flash open source?\n\nGLiClass is open source (Apache-2.0 (library and the model weights we checked)). No open-source release is listed for pplx-decider-flash.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider-flash.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider-flash.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gliclass\", \"b\": \"pplx-decider-flash\"}`. From a terminal: `anchor compare gliclass pplx-decider-flash`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gliclass.json and https://www.anchorterminal.com/api/v1/tools/pplx-decider-flash.json\n\n## Other comparisons with GLiClass or pplx-decider-flash\n\n- [Celeris-1 Decision vs GLiClass](https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.md)\n- [Celeris-1 Decision vs pplx-decider-flash](https://www.anchorterminal.com/compare/celeris-1-decision-vs-pplx-decider-flash.md)\n- [Clef vs GLiClass](https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass.md)\n- [Clef vs pplx-decider-flash](https://www.anchorterminal.com/compare/cloudflare-clef-vs-pplx-decider-flash.md)\n- [Laya vs GLiClass](https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.md)\n- [Laya vs pplx-decider-flash](https://www.anchorterminal.com/compare/convai-laya-vs-pplx-decider-flash.md)\n- [Decider vs GLiClass](https://www.anchorterminal.com/compare/decider-vs-gliclass.md)\n- [Decider vs pplx-decider-flash](https://www.anchorterminal.com/compare/decider-vs-pplx-decider-flash.md)\n- [Decision 3.0 vs GLiClass](https://www.anchorterminal.com/compare/decision-3-vs-gliclass.md)\n- [Decision 3.0 vs pplx-decider-flash](https://www.anchorterminal.com/compare/decision-3-vs-pplx-decider-flash.md)\n- [GLiClass vs Granite Switch 4.1](https://www.anchorterminal.com/compare/gliclass-vs-granite-switch.md)\n- [GLiClass vs Kev](https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.md)\n- [GLiClass vs Liquid d1](https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.md)\n- [GLiClass vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.md)\n- [GLiClass vs Drex 1.5](https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.md)\n- [GLiClass vs OpenAI Decisions API](https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.md)\n- [GLiClass vs pplx-decider](https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider.md)\n- [GLiClass vs ScaleDown](https://www.anchorterminal.com/compare/gliclass-vs-scaledown.md)\n- [GLiClass vs SPEV](https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev.md)\n- [GLiClass vs kettei](https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.md)\n- [GLiClass vs Strands Decider 2B](https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.md)\n- [GLiClass vs Jev](https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev.md)\n- [GLiClass vs Vela 2.0](https://www.anchorterminal.com/compare/gliclass-vs-vela.md)\n- [Granite Switch 4.1 vs pplx-decider-flash](https://www.anchorterminal.com/compare/granite-switch-vs-pplx-decider-flash.md)\n- [Kev vs pplx-decider-flash](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-pplx-decider-flash.md)\n- [Liquid d1 vs pplx-decider-flash](https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider-flash.md)\n- [Microsoft-Decision-1 vs pplx-decider-flash](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-pplx-decider-flash.md)\n- [Drex 1.5 vs pplx-decider-flash](https://www.anchorterminal.com/compare/nace-drex-vs-pplx-decider-flash.md)\n- [OpenAI Decisions API vs pplx-decider-flash](https://www.anchorterminal.com/compare/openai-decisions-api-vs-pplx-decider-flash.md)\n- [pplx-decider-flash vs ScaleDown](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-scaledown.md)\n- [pplx-decider-flash vs SPEV](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sprag-spev.md)\n- [pplx-decider-flash vs kettei](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.md)\n- [pplx-decider-flash vs Strands Decider 2B](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-strands-decider.md)\n- [pplx-decider-flash vs Jev](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-typesafe-jev.md)\n- [pplx-decider-flash vs Vela 2.0](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-vela.md)\n- [pplx-decider vs pplx-decider-flash](https://www.anchorterminal.com/compare/pplx-decider-vs-pplx-decider-flash.md)\n",
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    "description": "pplx-decider-flash scores 67.9 (B) to GLiClass's 49.9 (D) for decision models. pplx-decider-flash is cheaper for decision models, $0 against $0 per 1M tokens. Prices, MCP, x402, uptime and agent notes side by side.",
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    "title": "GLiClass vs pplx-decider-flash for AI agents (2026) | Anchor Terminal",
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