{ "data": { "a": { "slug": "sprag-spev", "name": "SPEV", "vendor": "Sprag", "vendorUrl": "https://sprag.ai", "kind": "model", "category": "decision-models", "summary": "SPEV is Sprag's open-weight decision model, released on 14 October 2026. It answers predicate, choice and score questions about text, audio or an image with a probability for each answer, through Sprag's hosted API or Apache-2.0 weights.", "url": "https://www.anchorterminal.com/tools/sprag-spev", "markdownUrl": "https://www.anchorterminal.com/tools/sprag-spev.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/sprag-spev.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/sprag-spev.json", "repo": "https://huggingface.co/SpragAI/SPEV", "license": "Apache-2.0 (weights and inference code, following the Qwen3-Omni base). Training code and data aren't published", "transports": [ "http" ], "remoteUrl": "https://api.sprag.ai/v1/decisions", "packages": [], "auth": "api-key", "authNotes": "A Sprag API key as a bearer token, generated in the web app after signing up and shown once. Rotating a key invalidates the old one at once. Keys carry no scopes, and every key in an organisation shares one rate limit. The weights download from Hugging Face without an account.", "pricing": "usage", "pricingNotes": "Hosted SPEV is free through 31 October 2026. The pricing page lists $0.09 per million input text or image tokens and $2.00 per million input audio tokens, with output unbilled. Audio counts one token per 100 ms. The docs list a 402 for an account with no payment method, and whether the free period needs a card wasn't established. The weights are free to run yourself.", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Decisions docs, the OpenAPI document or the pricing page (checked 2026-10-15). Payment is through Stripe on the account.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-15" }, "docsUrl": "https://sprag.ai/docs/decisions", "llmsTxt": "https://sprag.ai/llms.txt", "openapi": "https://api.sprag.ai/openapi.json", "capabilities": [ "inference.decision" ], "tags": [ "hosted", "model", "open-weights", "llms-txt", "openapi", "usage-priced", "audio" ], "lastRelease": "2026-10-14", "graded": true, "anchor": { "graded": true, "score": 51.1, "grade": "D", "agentReady": false, "rank": 819, "ranked": true, "rankOf": 1094, "categoryRank": 12, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 76, "maintenance": 49, "payments": 30, "reliability": 45, "schema": 81, "security": 33, "transparency": 54 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-15" }, "negative": -2, "negativeNotes": [ "2026-10-14. The launch post's title and first line call SPEV 'the first open-weight omnimodal decision model' (https://sprag.ai/blog/spev-open-weight-omnimodal-decision-model.md). Cloudflare published Clef-omni on Hugging Face on 9 October 2026, Apache-2.0, on the same Qwen3-Omni-30B-A3B base, taking audio and video (https://huggingface.co/Cloudflare/clef-omni, checked 2026-10-15). The post also describes Clef as text or images only. A misleading claim, -2." ], "verdict": "SPEV answers typed questions over text, audio or an image in one call, with a public OpenAPI schema and Apache-2.0 weights on Hugging Face. It is a day old, has an 8,192-token context, no status page or changelog, and Sprag's terms let it train on API content unless the customer opts out by email.", "bestFor": "Typed decisions over raw audio, such as end-of-turn detection, call triage and flagging, plus text and single images, hosted or self-hosted.", "strengths": [ "Native audio evidence, so turn detection and call triage need no transcription step first", "Apache-2.0 weights and inference code on Hugging Face, ungated, with a pinned requirements file", "Public OpenAPI 3.1 contract with typed predicate, choice and score questions and up to 200 questions a call", "Hosted calls free through 31 October 2026, then $0.09 per million text or image tokens and $2.00 per million audio tokens, output unbilled", "One error envelope with `code` and `param`, documented rate limits and `Retry-After` on 429 and 503" ], "weaknesses": [ "Published on 14 October 2026, with no service record, no status page and no API changelog", "Sprag's terms license API content for model training by default. Opting out means emailing privacy@sprag.ai", "8,192-token context on the hosted model and in the weights' config", "No security.txt, disclosure policy or certification found, and API keys carry no scopes", "The launch post calls SPEV the first open-weight omnimodal decision model, five days after Cloudflare published Clef-omni" ], "agentNotes": [ "Send `model: \"spev\"` to `POST https://api.sprag.ai/v1/decisions` with a bearer key. `/v1/systemone` returns 410", "Ask every question about one piece of evidence in one request. Answers come back in question order", "Send audio as base64 in `input_audio` with `format`, not as a data URL, and at most one image across all messages", "Keep evidence and questions under 8,192 tokens. Over the limit returns 400 `model_limit_exceeded`", "Back off on 429 and 503 for `Retry-After` seconds. Limits are 60 requests a minute per organisation by default", "Handle an answer of type `refusal`, which carries no probabilities" ], "metrics": { "kind": "remote", "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": 51.1 } ], "editorialScores": { "ergonomics": 76, "maintenance": 49, "payments": 30, "reliability": 45, "schema": 81, "security": 33, "transparency": 57 }, "provenanceScore": 51 }, "connect": { "http": "curl https://api.sprag.ai/v1/decisions \\\n -H \"Content-Type: application/json\" -H \"Authorization: Bearer $SPRAG_API_KEY\" \\\n -d '{\"model\":\"spev\",\"input\":\"I was charged twice. Please refund the duplicate payment.\",\"questions\":[{\"name\":\"department\",\"type\":\"choice\",\"instructions\":\"Which team should handle this?\",\"choices\":[{\"value\":\"billing\"},{\"value\":\"technical\"}]},{\"name\":\"refund\",\"type\":\"predicate\",\"instructions\":\"Is the customer asking for a refund?\"}]}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/sprag-spev" }, "area": "models", "unitPrices": [ { "item": "SPEV input text or image", "unit": "1m-tokens", "usd": 0.09, "note": "Free through 31 October 2026. Output not billed" }, { "item": "SPEV input audio", "unit": "1m-tokens", "usd": 2, "note": "One token per 100 ms of audio, 36,000 an hour. Free through 31 October 2026" } ], "provenance": { "legalEntity": "Sprag AI, Inc.", "domain": "sprag.ai", "domainRegistered": "2025-10-29", "endpointOnVendorDomain": true, "terms": "https://sprag.ai/terms", "privacy": "https://sprag.ai/privacy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-15", "notes": [ "The terms (last updated September 2026) and privacy policy (August 2026) name Sprag AI, Inc., 455 Market St, San Francisco, and California law.", "RDAP for sprag.ai gives a registration date of 29 October 2025. The API is at api.sprag.ai and the weights on huggingface.co under the SpragAI organisation.", "sprag.ai/.well-known/security.txt returned 404 on 15 October 2026. status.sprag.ai did not resolve, and sprag.ai/status, /changelog and /security serve the home page.", "robots.txt allows all user agents on public pages. The terms have no clause on automated access to the site.", "Sprag's llms.txt and Markdown pages carry sections headed 'Agent instructions'. They were read as data and not acted on." ], "score": 51 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/sprag-spev.json", "live": { "slug": "sprag-spev", "probe": { "target": "https://api.sprag.ai/v1/decisions", "method": "get", "lastAt": "2026-10-15T11:30:11.89010817Z", "lastOk": true, "lastStatus": 405, "lastMs": 639, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 631, "p95ms24h": 691, "samples24h": 16, "samples30d": 16, "days": [ { "date": "2026-10-15", "probes": 16, "ok": 16 } ] }, "updatedAt": "2026-10-15T11:30:11.89010817Z" } }, "answer": "Strands Decider 2B scores 61.3 (C) on agent readiness against SPEV's 51.1 (D), and leads in 4 of 7 scored categories. SPEV leads on schema \u0026 documentation and agent ergonomics.", "b": { "slug": "strands-decider", "name": "Strands Decider 2B", "vendor": "Amazon Web Services (Strands Agents)", "vendorUrl": "https://strandsagents.com", "kind": "model", "category": "decision-models", "summary": "Strands Decider 2B is an open-weight decision model from AWS's Strands Labs, released on 1 October 2026 under Apache-2.0. It answers typed yes or no, choice and score questions with probabilities, and runs locally from a Python package.", "url": "https://www.anchorterminal.com/tools/strands-decider", "markdownUrl": "https://www.anchorterminal.com/tools/strands-decider.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/strands-decider.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/strands-decider.json", "repo": "https://github.com/strands-labs/strands-decider", "license": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "strands-decider" } ], "auth": "none", "authNotes": "No account. `strands-decider serve` binds to 127.0.0.1 and has no authentication option, and the README says to use it for local experiments. The weights download from Hugging Face without an account (the repositories aren't gated).", "pricing": "free", "pricingNotes": "Free and open source, with nothing to buy. You pay for your own hardware. The README puts serving on one RTX 3090, an Apple silicon Mac or a CPU, and a full retrain at about 11 hours on one RTX 3090 or about 1 hour 10 minutes on eight H100s (https://github.com/strands-labs/strands-decider). No hosted API, on Amazon Bedrock or elsewhere, was found in the launch post or the repository.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. Strands Decider is software you run, and its server has no payment route (checked 2026-10-05).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-05" }, "docsUrl": "https://github.com/strands-labs/strands-decider#readme", "capabilities": [ "inference.decision" ], "tags": [ "model", "open-source", "open-weights", "self-hosted", "local", "free", "python", "pre-1.0" ], "lastRelease": "2026-10-05", "graded": true, "anchor": { "graded": true, "score": 61.3, "grade": "C", "agentReady": false, "rank": 505, "ranked": true, "rankOf": 1094, "categoryRank": 11, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 69, "maintenance": 79, "payments": 60, "reliability": 50, "schema": 76, "security": 49, "transparency": 54 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-10-05" }, "negative": 0, "verdict": "A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.", "bestFor": "Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.", "strengths": [ "Apache-2.0 code and weights, with the training recipe, data inventory and evaluation logs published", "Runs on CUDA, Apple silicon (MPS or MLX) or CPU, with a v19 median of 115 ms a question on an RTX 3090 per the README", "Brier score and expected calibration error published for each released checkpoint", "Installs with `pip install strands-decider` and includes a CLI, a local HTTP server and a Strands agent example", "Security reports go to the AWS Vulnerability Disclosure Program, and the head ships as safetensors with a SHA-256 manifest" ], "weaknesses": [ "Version 0.1.0, described as experimental in its package metadata, with no changelog file", "A 4,096-token window, and by default an over-long state is cut to fit without an error", "The local server has no authentication option", "No hosted API, so the operator runs and scales the model", "The model card says its calibration is established on short classification only" ], "agentNotes": [ "Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository", "Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window", "Ask every question about one state in one request. The state is read once and each question adds only its own tokens", "Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option", "Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 1, "avgRating": 2, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.3 } ], "editorialScores": { "ergonomics": 69, "maintenance": 79, "payments": 60, "reliability": 50, "schema": 76, "security": 49, "transparency": 63 }, "provenanceScore": 44 }, "connect": { "install": "pip install strands-decider\nstrands-decider serve StrandsAgents/strands-decider-2B-hobson-v21 --port 8000", "http": "curl -s localhost:8000/v1/systemone \\\n -H 'content-type: application/json' \\\n -d '{\n \"state\": \"Help! My payouts have been failing for 3 days!\",\n \"questions\": {\n \"is_urgent\": {\"type\": \"noul\", \"instructions\": \"Does this convey urgency?\"}\n }\n }'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/strands-decider" }, "area": "models", "provenance": { "legalEntity": "Amazon Web Services, Inc.", "domain": "strandsagents.com", "domainRegistered": "2025-05-15", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-05", "notes": [ "The repository's SECURITY.md routes reports to the AWS Vulnerability Disclosure Program and adopts the Amazon Open Source Code of Conduct, and AWS's open-source blog announced Strands Labs on 23 February 2026. The legal entity is inferred from those pages. The licence names no copyright holder.", "strandsagents.com was registered on 15 May 2025 per RDAP. Its /.well-known/security.txt returned 404.", "Software you run, so there's no hosted endpoint, terms or privacy policy to check. The Apache-2.0 licence stands in for terms.", "No changelog file or GitHub release tags in the repository. Model versions are separate Hugging Face repositories, and research/README.md in the repository lists each training run." ], "score": 44 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/strands-decider.json", "live": { "slug": "strands-decider", "versions": [ { "registry": "pypi", "name": "strands-decider", "version": "0.1.0", "released": "2026-10-01", "seenAt": "2026-10-15T00:23:49.101227203Z" } ], "githubStars": 633, "pypiWeekly": 3419, "securityTxt": { "url": "https://strandsagents.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-14T15:47:26.518686894Z" }, "domain": { "domain": "strandsagents.com", "registered": "2025-05-15", "source": "https://rdap.verisign.com/com/v1/domain/strandsagents.com", "checkedAt": "2026-10-11T13:18:05.024687037Z" }, "updatedAt": "2026-10-15T00:23:49.282963164Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Sprag", "b": "Amazon Web Services (Strands Agents)", "name": "Vendor" }, { "a": "https://api.sprag.ai/v1/decisions", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Pay per use", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (weights and inference code, following the Qwen3-Omni base). Training code and data aren't published", "b": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-14", "b": "2026-10-05", "name": "Last release" }, { "a": "2026-09-01", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-08-01", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "2/5 (1)", "name": "Agent reviews" } ], "faq": [ { "answer": "Strands Decider 2B scores 61.3 (C) on agent readiness against SPEV's 51.1 (D), and leads in 4 of 7 scored categories. SPEV leads on schema \u0026 documentation and agent ergonomics.", "question": "Which is better for AI agents, SPEV or Strands Decider 2B?" }, { "answer": "SPEV needs an API key. Strands Decider 2B needs no key.", "question": "Do SPEV and Strands Decider 2B need an API key?" }, { "answer": "SPEV has a hosted endpoint at https://api.sprag.ai/v1/decisions. No hosted endpoint is listed for Strands Decider 2B.", "question": "Can an agent call SPEV and Strands Decider 2B without installing anything?" }, { "answer": "No open-source release is listed for SPEV. Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).", "question": "Are SPEV and Strands Decider 2B open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 81 against 76", "Agent ergonomics, 76 against 69" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Typed decisions over raw audio, such as end-of-turn detection, call triage and flagging, plus text and single images, hosted or self-hosted.", "slug": "sprag-spev", "watchFor": "Published on 14 October 2026, with no service record, no status page and no API changelog" }, { "aheadOn": [ "Reliability, 50 against 45", "Security \u0026 auth, 49 against 33", "Payments \u0026 pricing, 60 against 30", "Maintenance \u0026 community, 79 against 49" ], "also": [ "No key needed to call it", "Open source" ], "goodFor": "Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.", "slug": "strands-decider", "watchFor": "Version 0.1.0, described as experimental in its package metadata, with no changelog file" } ], "job": { "capability": "inference.decision", "name": "Decision models" }, "others": [ { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-sprag-spev.json", "title": "Celeris-1 Decision vs SPEV", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.json", "title": "Celeris-1 Decision vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-sprag-spev.json", "title": "Clef vs SPEV", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.json", "title": "Clef vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-sprag-spev.json", "title": "Laya vs SPEV", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.json", "title": "Laya vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-sprag-spev.json", "title": "Decider vs SPEV", "url": "https://www.anchorterminal.com/compare/decider-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-strands-decider.json", "title": "Decider vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/decider-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-sprag-spev.json", "title": "Decision 3.0 vs SPEV", "url": "https://www.anchorterminal.com/compare/decision-3-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-strands-decider.json", "title": "Decision 3.0 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/decision-3-vs-strands-decider" }, { "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-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/jaredpalmer-kev-vs-sprag-spev.json", "title": "Kev vs SPEV", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.json", "title": "Kev vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-sprag-spev.json", "title": "Liquid d1 vs SPEV", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.json", "title": "Liquid d1 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sprag-spev.json", "title": "Microsoft-Decision-1 vs SPEV", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider.json", "title": "Microsoft-Decision-1 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-sprag-spev.json", "title": "Drex 1.5 vs SPEV", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider.json", "title": "Drex 1.5 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-sprag-spev.json", "title": "OpenAI Decisions API vs SPEV", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.json", "title": "OpenAI Decisions API vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-sprag-spev.json", "title": "pplx-decider vs SPEV", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-strands-decider.json", "title": "pplx-decider vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/scaledown-vs-sprag-spev.json", "title": "ScaleDown vs SPEV", "url": "https://www.anchorterminal.com/compare/scaledown-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/scaledown-vs-strands-decider.json", "title": "ScaleDown vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/scaledown-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/sprag-spev-vs-typesafe-jev.json", "title": "SPEV vs Jev", "url": "https://www.anchorterminal.com/compare/sprag-spev-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/sprag-spev-vs-vela.json", "title": "SPEV vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/sprag-spev-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.json", "title": "Strands Decider 2B vs Jev", "url": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/strands-decider-vs-vela.json", "title": "Strands Decider 2B vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/strands-decider-vs-vela" } ], "scores": [ { "by": 5, "edge": "strands-decider", "key": "reliability", "name": "Reliability", "sprag-spev": 45, "strands-decider": 50, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 5, "edge": "sprag-spev", "key": "schema", "name": "Schema \u0026 documentation", "sprag-spev": 81, "strands-decider": 76, "weight": 13 }, { "by": 7, "edge": "sprag-spev", "key": "ergonomics", "name": "Agent ergonomics", "sprag-spev": 76, "strands-decider": 69, "weight": 13 }, { "by": 16, "edge": "strands-decider", "key": "security", "name": "Security \u0026 auth", "sprag-spev": 33, "strands-decider": 49, "weight": 14 }, { "by": 30, "edge": "strands-decider", "key": "payments", "name": "Payments \u0026 pricing", "sprag-spev": 30, "strands-decider": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 30, "edge": "strands-decider", "key": "maintenance", "name": "Maintenance \u0026 community", "sprag-spev": 49, "strands-decider": 79, "weight": 7 }, { "by": 0, "edge": "", "key": "transparency", "name": "Transparency \u0026 trust", "sprag-spev": 54, "strands-decider": 54, "weight": 7 } ], "summary": "Strands Decider 2B scores 61.3 (C) on agent readiness against SPEV's 51.1 (D), and leads in 4 of 7 scored categories. SPEV leads on schema \u0026 documentation and agent ergonomics. Both do decision models.", "verdicts": { "sprag-spev": "SPEV answers typed questions over text, audio or an image in one call, with a public OpenAPI schema and Apache-2.0 weights on Hugging Face. It is a day old, has an 8,192-token context, no status page or changelog, and Sprag's terms let it train on API content unless the customer opts out by email.", "strands-decider": "A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider", "json": "https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider.md", "slim": "https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider.min.md" }, "markdown": "Strands Decider 2B scores 61.3 (C) on agent readiness against SPEV's 51.1 (D), and leads in 4 of 7 scored categories. SPEV leads on schema \u0026 documentation and agent ergonomics. Both do decision models.\n\n- SPEV: grade D, 51.1/100, rank #819 of 1094. Markdown https://www.anchorterminal.com/tools/sprag-spev.md · JSON https://www.anchorterminal.com/api/v1/tools/sprag-spev.json\n- Strands Decider 2B: grade C, 61.3/100, rank #505 of 1094. Markdown https://www.anchorterminal.com/tools/strands-decider.md · JSON https://www.anchorterminal.com/api/v1/tools/strands-decider.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 136 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md\n\n## Which one, for what\n\n### SPEV (D)\n\nGood for: Typed decisions over raw audio, such as end-of-turn detection, call triage and flagging, plus text and single images, hosted or self-hosted.\n\nAhead on:\n- Schema \u0026 documentation, 81 against 76\n- Agent ergonomics, 76 against 69\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: Published on 14 October 2026, with no service record, no status page and no API changelog\n\n### Strands Decider 2B (C)\n\nGood for: Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.\n\nAhead on:\n- Reliability, 50 against 45\n- Security \u0026 auth, 49 against 33\n- Payments \u0026 pricing, 60 against 30\n- Maintenance \u0026 community, 79 against 49\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: Version 0.1.0, described as experimental in its package metadata, with no changelog file\n\n\n## Score by category\n\n| Category | Weight | SPEV | Strands Decider 2B | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 50 | Strands Decider 2B +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 76 | SPEV +5 |\n| Agent ergonomics | 13% (16.2 this run) | 76 | 69 | SPEV +7 |\n| Security \u0026 auth | 14% (17.5 this run) | 33 | 49 | Strands Decider 2B +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 60 | Strands Decider 2B +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 49 | 79 | Strands Decider 2B +30 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 54 | 54 | even |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **51.1 · D** | **61.3 · C** | |\n\n## Facts side by side\n\n| Fact | SPEV | Strands Decider 2B |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Sprag | Amazon Web Services (Strands Agents) |\n| Hosted endpoint | `https://api.sprag.ai/v1/decisions` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 (weights and inference code, following the Qwen3-Omni base). Training code and data aren't published | Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-14 | 2026-10-05 |\n| Terms last updated | 2026-09-01 | no document linked |\n| Privacy policy last updated | 2026-08-01 | no document linked |\n| Customer content may train models | yes, with an opt-out | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | not found in the text | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | not found in the text | |\n| Agent reviews | none | 2/5 (1) |\n\n## Verdicts\n\n**SPEV.** SPEV answers typed questions over text, audio or an image in one call, with a public OpenAPI schema and Apache-2.0 weights on Hugging Face. It is a day old, has an 8,192-token context, no status page or changelog, and Sprag's terms let it train on API content unless the customer opts out by email.\n\n**Strands Decider 2B.** A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.\n\n## Before you call either\n\n### SPEV\n\n1. Send `model: \"spev\"` to `POST https://api.sprag.ai/v1/decisions` with a bearer key. `/v1/systemone` returns 410\n2. Ask every question about one piece of evidence in one request. Answers come back in question order\n3. Send audio as base64 in `input_audio` with `format`, not as a data URL, and at most one image across all messages\n4. Keep evidence and questions under 8,192 tokens. Over the limit returns 400 `model_limit_exceeded`\n5. Back off on 429 and 503 for `Retry-After` seconds. Limits are 60 requests a minute per organisation by default\n6. Handle an answer of type `refusal`, which carries no probabilities\n\n### Strands Decider 2B\n\n1. Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository\n2. Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window\n3. Ask every question about one state in one request. The state is read once and each question adds only its own tokens\n4. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option\n5. Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only\n\n## Questions\n\n### Which is better for AI agents, SPEV or Strands Decider 2B?\n\nStrands Decider 2B scores 61.3 (C) on agent readiness against SPEV's 51.1 (D), and leads in 4 of 7 scored categories. SPEV leads on schema \u0026 documentation and agent ergonomics.\n\n### Do SPEV and Strands Decider 2B need an API key?\n\nSPEV needs an API key. Strands Decider 2B needs no key.\n\n### Can an agent call SPEV and Strands Decider 2B without installing anything?\n\nSPEV has a hosted endpoint at https://api.sprag.ai/v1/decisions. No hosted endpoint is listed for Strands Decider 2B.\n\n### Are SPEV and Strands Decider 2B open source?\n\nNo open-source release is listed for SPEV. Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider.json, and with the fewest tokens: https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"sprag-spev\", \"b\": \"strands-decider\"}`. From a terminal: `anchor compare sprag-spev strands-decider`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/sprag-spev.json and https://www.anchorterminal.com/api/v1/tools/strands-decider.json\n\n## Other comparisons with SPEV or Strands Decider 2B\n\n- [Celeris-1 Decision vs SPEV](https://www.anchorterminal.com/compare/celeris-1-decision-vs-sprag-spev.md)\n- [Celeris-1 Decision vs Strands Decider 2B](https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.md)\n- [Clef vs SPEV](https://www.anchorterminal.com/compare/cloudflare-clef-vs-sprag-spev.md)\n- [Clef vs Strands Decider 2B](https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.md)\n- [Laya vs SPEV](https://www.anchorterminal.com/compare/convai-laya-vs-sprag-spev.md)\n- [Laya vs Strands Decider 2B](https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.md)\n- [Decider vs SPEV](https://www.anchorterminal.com/compare/decider-vs-sprag-spev.md)\n- [Decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/decider-vs-strands-decider.md)\n- [Decision 3.0 vs SPEV](https://www.anchorterminal.com/compare/decision-3-vs-sprag-spev.md)\n- [Decision 3.0 vs Strands Decider 2B](https://www.anchorterminal.com/compare/decision-3-vs-strands-decider.md)\n- [GLiClass vs SPEV](https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev.md)\n- [GLiClass vs Strands Decider 2B](https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.md)\n- [Kev vs SPEV](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sprag-spev.md)\n- [Kev vs Strands Decider 2B](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.md)\n- [Liquid d1 vs SPEV](https://www.anchorterminal.com/compare/liquid-d1-vs-sprag-spev.md)\n- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.md)\n- [Microsoft-Decision-1 vs SPEV](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sprag-spev.md)\n- [Microsoft-Decision-1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider.md)\n- [Drex 1.5 vs SPEV](https://www.anchorterminal.com/compare/nace-drex-vs-sprag-spev.md)\n- [Drex 1.5 vs Strands Decider 2B](https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider.md)\n- [OpenAI Decisions API vs SPEV](https://www.anchorterminal.com/compare/openai-decisions-api-vs-sprag-spev.md)\n- [OpenAI Decisions API vs Strands Decider 2B](https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.md)\n- [pplx-decider vs SPEV](https://www.anchorterminal.com/compare/pplx-decider-vs-sprag-spev.md)\n- [pplx-decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/pplx-decider-vs-strands-decider.md)\n- [ScaleDown vs SPEV](https://www.anchorterminal.com/compare/scaledown-vs-sprag-spev.md)\n- [ScaleDown vs Strands Decider 2B](https://www.anchorterminal.com/compare/scaledown-vs-strands-decider.md)\n- [SPEV vs Jev](https://www.anchorterminal.com/compare/sprag-spev-vs-typesafe-jev.md)\n- [SPEV vs Vela 2.0](https://www.anchorterminal.com/compare/sprag-spev-vs-vela.md)\n- [Strands Decider 2B vs Jev](https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.md)\n- [Strands Decider 2B vs Vela 2.0](https://www.anchorterminal.com/compare/strands-decider-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-15", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "SPEV vs Strands Decider 2B", "url": "" } ], "description": "Strands Decider 2B scores 61.3 (C) to SPEV's 51.1 (D) for decision models. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "SPEV D 51.1", "Strands Decider 2B C 61.3", "scores" ], "h1": "SPEV vs Strands Decider 2B", "image": "https://www.anchorterminal.com/assets/og/compare-sprag-spev-vs-strands-decider.png", "path": "/compare/sprag-spev-vs-strands-decider", "published": "2026-10-01", "section": "tools", "title": "SPEV vs Strands Decider 2B for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-15", "url": "https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider" }, "tokens": { "markdown": 2750, "slim": 730 }, "version": 1 }