{
  "data": {
    "a": {
      "slug": "hy4",
      "name": "Tencent Hy4",
      "vendor": "Tencent (Hy team)",
      "vendorUrl": "https://aistudio.tencent.com",
      "kind": "model",
      "category": "inference",
      "summary": "Tencent Hy4 is Tencent's flagship language model, released on 4 November 2026 with image understanding and computer use, served on Tencent Cloud TokenHub as hy4 with a 1M-token context, at ¥6 input and ¥18 output per million tokens.",
      "url": "https://www.anchorterminal.com/tools/hy4",
      "markdownUrl": "https://www.anchorterminal.com/tools/hy4.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hy4.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hy4.json",
      "dns": "hy4.grade.anchorterminal.com",
      "license": "Hosted model under the Tencent Cloud TokenHub terms. Tencent says weights and a system card will follow; no licence is stated yet",
      "transports": [
        "http"
      ],
      "packages": [],
      "auth": "api-key",
      "authNotes": "A TokenHub bearer key (or `x-api-key` on the Anthropic-style route) from a Tencent Cloud account with real-name verification, per the tencent-tokenhub listing. Keys can be limited by model, service, IP range and token quota.",
      "pricing": "usage",
      "pricingNotes": "¥6 input, ¥0.3 cached input and ¥18 output per million tokens on TokenHub, billed at 50% until 31 December 2026 (Beijing time), per the price page updated 9 November 2026. Tencent's release gives about US$0.90, US$0.045 and US$2.70. No free allowance named for hy4 on the price page.",
      "priceSummary": "Pay per use",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in Tencent's release or TokenHub's price page, 11 November 2026.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-11-11"
      },
      "docsUrl": "https://cloud.tencent.com/document/product/1823/130051",
      "llmsTxt": "https://cloud.tencent.com/document/product/1823/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "multimodal",
        "reasoning",
        "long-context",
        "tool-calling",
        "usage-priced",
        "openai-compatible",
        "anthropic-compatible",
        "chinese",
        "new"
      ],
      "lastRelease": "2026-11-04",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64,
        "grade": "B",
        "agentReady": false,
        "rank": 595,
        "ranked": true,
        "rankOf": 1524,
        "categoryRank": 25,
        "methodology": "0.8",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 86,
          "maintenance": 73,
          "payments": 45,
          "reliability": 46,
          "schema": 73,
          "security": 71,
          "transparency": 52
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-11"
        },
        "negative": 0,
        "verdict": "Tencent's flagship model is on TokenHub as hy4, with a 1M-token context, image understanding, function calling and caching, at ¥6 input and ¥18 output per million tokens, half price until the end of 2026. The weights it is called open source for aren't published yet, and every benchmark is Tencent's own.",
        "bestFor": "Long-context agent work, coding and office or finance tasks on a 1M-token context with images, for teams already on Tencent Cloud or happy to verify an account there.",
        "strengths": [
          "1M-token context with 960K input and 64K output, per TokenHub's model list",
          "Image understanding, function calling, structured output, thinking and caching are marked for hy4",
          "Prices published: ¥6 input, ¥0.3 cached, ¥18 output per million tokens, billed at 50% until 31 December 2026",
          "OpenAI- and Anthropic-compatible endpoints on TokenHub, so existing SDKs work with a changed base URL",
          "Tencent says it's the same price as Hy4 preview despite the upgrade"
        ],
        "weaknesses": [
          "Weights, licence and system card are promised but not published; tencent/Hy4 didn't answer on Hugging Face on 11 November",
          "Computer use, which Tencent's release names, isn't marked in TokenHub's model list",
          "TokenHub needs real-name verification, and the international site answers with a bot check",
          "No public status page for TokenHub",
          "Every benchmark in the release is Tencent's own or a partner's, several of them internal"
        ],
        "agentNotes": [
          "Use model id hy4 on TokenHub's OpenAI- or Anthropic-compatible endpoints; hy4-preview is a separate, older model",
          "Keep input under 960K tokens and expect at most 64K output",
          "Reuse prompt prefixes: cached input is ¥0.3 against ¥6",
          "Check the price page for the end of the 50% discount on 31 December 2026 before budgeting",
          "Read rate limits from the console or DescribeModelQuota; the public docs don't give them for chat models"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.8",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64
          }
        ],
        "editorialScores": {
          "ergonomics": 86,
          "maintenance": 73,
          "payments": 45,
          "reliability": 46,
          "schema": 73,
          "security": 71,
          "transparency": 55
        },
        "provenanceScore": 49,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-11",
            "maintenance": "2026-11-11",
            "payments": "2026-11-11",
            "reliability": "2026-11-11",
            "schema": "2026-11-11",
            "security": "2026-11-11",
            "transparency": "2026-11-11"
          },
          "last": "2026-11-11",
          "lastMoved": "2026-11-13",
          "oldest": "2026-11-11",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl https://tokenhub.tencentmaas.com/v1/chat/completions \\\n  -H \"Authorization: Bearer $TOKENHUB_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"hy4\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/hy4"
      },
      "sameCompany": [
        "hy-memory",
        "tencentdb-agent-memory",
        "hunyuanocr",
        "octop",
        "hy-memory-30b-a3b",
        "hy3",
        "wevisone-vl-2b",
        "wevisone-vl-4b"
      ],
      "sameModel": [
        "tencent-tokenhub"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Hy4 input",
          "unit": "1m-tokens",
          "usd": 0.9,
          "note": "¥6 list, about US$0.90 per Tencent; billed at 50% until 31 December 2026"
        },
        {
          "item": "Hy4 cached input",
          "unit": "1m-tokens",
          "usd": 0.045,
          "note": "¥0.3 list"
        },
        {
          "item": "Hy4 output",
          "unit": "1m-tokens",
          "usd": 2.7,
          "note": "¥18 list"
        }
      ],
      "provenance": {
        "legalEntity": "Tencent Cloud Computing (Beijing) Co., Ltd. (腾讯云计算（北京）有限责任公司)",
        "domain": "tencentmaas.com",
        "domainRegistered": "2026-03-13",
        "endpointOnVendorDomain": false,
        "terms": "https://cloud.tencent.com/document/product/301/129852",
        "privacy": "https://privacy.qq.com/document/preview/91d5fd3c98ce4468ae462ac59233bba2",
        "statusPage": "",
        "changelog": "https://cloud.tencent.com/document/product/1823/130675",
        "securityTxt": "none",
        "checked": "2026-11-11",
        "notes": [
          "The TokenHub Terms of Service (effective 14 September 2026), the SLA (effective 23 April 2026) and the special note on third-party deployed models (effective 14 September 2026) name 腾讯云计算（北京）有限责任公司. The docs footer also names 深圳市腾讯计算机系统有限公司 as ICP licence holder.",
          "The TokenHub privacy policy is linked from the docs to privacy.qq.com, which renders only with JavaScript, so it was not read. privacy.qq.com has no robots.txt (404).",
          "No public status page was found. status.cloud.tencent.com did not answer, and the Tencent Cloud health dashboard documentation answered with a bot check.",
          "security.txt answered 404 on cloud.tencent.com, www.tencent.com and tokenhub.tencentmaas.com. Tencent's bug bounty policy at en.security.tencent.com lists Tencent Cloud in scope.",
          "RDAP at Verisign gives tencentmaas.com a registration date of 13 March 2026 with no registrant. The API answers at tokenhub.tencentmaas.com and tokenhub-intl.tencentmaas.com, named in Tencent Cloud's API usage page.",
          "cloud.tencent.com allows these docs in robots.txt. Its pages answered some requests with a JavaScript bot check, which was not passed. The pages were read when a later plain request returned them. www.tencentcloud.com answered robots.txt with a bot check, so the international site was not read."
        ],
        "score": 49
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/hy4.json",
      "live": {
        "slug": "hy4",
        "securityTxt": {
          "url": "https://tencentmaas.com/.well-known/security.txt",
          "state": "unknown",
          "checkedAt": "2026-11-13T16:16:35.489580858Z"
        },
        "llmsTxt": {
          "url": "https://cloud.tencent.com/document/product/1823/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-13T15:54:34.939672287Z"
        },
        "pages": [
          {
            "url": "https://cloud.tencent.com/document/product/1823/130675",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-11-13T18:11:34.856577424Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e3b0c44298fc"
          },
          {
            "url": "https://privacy.qq.com/document/preview/91d5fd3c98ce4468ae462ac59233bba2",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-11-13T18:28:00.062507799Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e3b0c44298fc"
          },
          {
            "url": "https://cloud.tencent.com/document/product/301/129852",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-13T18:11:36.909670614Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e3b0c44298fc"
          }
        ],
        "updatedAt": "2026-11-13T18:28:00.062507799Z"
      }
    },
    "answer": "Tencent Hy4 scores 64 (B) on agent readiness against SWE-2 Flash's 37.6 (F), and leads in 5 of 7 scored categories. SWE-2 Flash leads on transparency \u0026 trust.",
    "b": {
      "slug": "swe-2-flash",
      "name": "SWE-2 Flash",
      "vendor": "Cognition AI, Inc.",
      "vendorUrl": "https://cognition.com/blog/swe-2-flash",
      "kind": "model",
      "category": "inference",
      "summary": "SWE-2 Flash is Cognition's small, fast coding model, mid-trained and reinforcement-trained from Thinking Machines' Inkling-Small (276B total, 12B active parameters). It runs inside Devin Desktop and Devin CLI, with no model API of its own and no public weights.",
      "url": "https://www.anchorterminal.com/tools/swe-2-flash",
      "markdownUrl": "https://www.anchorterminal.com/tools/swe-2-flash.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/swe-2-flash.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/swe-2-flash.json",
      "dns": "swe-2-flash.grade.anchorterminal.com",
      "license": "Proprietary model, used through Devin Desktop and Devin CLI under Cognition's Platform Terms of Service. The weights are not public; Cognition says it is building a programme to share them with industry partners and researchers",
      "transports": [],
      "packages": [],
      "auth": "mixed",
      "authNotes": "No model API or key of its own. A person signs in to Devin Desktop, or runs `devin auth login` for Devin CLI, through a browser (enterprise users through their identity provider). The CLI then keeps an API token in credentials.toml that by default is persistent and does not expire, and the docs warn that anyone with the file can authenticate as that user. Enterprise admins choose which models a team may use with a model allowlist.",
      "pricing": "freemium",
      "pricingNotes": "Free in Devin Desktop and Devin CLI through 30 November 2026, per the launch post. Afterwards it is billed against the plan's daily and weekly quota, then extra usage at API pricing. The post says one-fifth the price of SWE-2, whose list price is $3.00 input, $0.30 cached input and $15.00 output per million tokens, but no SWE-2 Flash figure is published: the docs' cost table loads in the browser and the models pages don't list it yet (checked 2026-11-04). Plans are Free $0, Pro $20 a month, Max $200 a month and Teams $80 a month plus $40 per full seat. The docs say Free tier users only have SWE-1.6, so whether Free reaches SWE-2 Flash is unconfirmed.",
      "priceSummary": "Freemium",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No model endpoint to pay. No x402, MPP or L402 on the Devin pricing page, the Devin Desktop models page or the launch post (checked 2026-11-04).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-11-04"
      },
      "docsUrl": "https://docs.devin.ai/desktop/models",
      "llmsTxt": "https://docs.devin.ai/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "closed-source",
        "coding",
        "moe",
        "cli",
        "desktop-app",
        "llms-txt",
        "status-page",
        "soc2",
        "iso27001",
        "sla",
        "freemium",
        "new"
      ],
      "lastRelease": "2026-11-04",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 37.6,
        "grade": "F",
        "agentReady": false,
        "rank": 1382,
        "ranked": true,
        "rankOf": 1524,
        "categoryRank": 45,
        "methodology": "0.8",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 10,
          "maintenance": 53,
          "payments": 30,
          "reliability": 50,
          "schema": 29,
          "security": 53,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-11-04"
        },
        "negative": -2,
        "negativeNotes": [
          "The launch post says 'On leading evals, SWE-2 Flash outperforms all American open-weight models'. The post's own table, a first-hand source, gives Meta's Muse Spark Open (American, open weights, released 15 October 2026) 54.0 on SWE-Atlas QA against SWE-2 Flash's 50.0, and Meta's own figure for Muse Spark Open is 58. A 'surpasses' claim a first-hand source shows false is a deduction of 2 (research/batches/2026-11/new-2026-11-04-ripple-swe2/NEWLIST.md, rule 4). The case against: SWE-2 Flash leads every other row it shares with the American open-weight models in the table, and DeepSWE 1.1 is 60.1 to 60.0, so 'on leading evals' can be read as overall. Proposed for the founder to confirm at landing, as xiaomi-ocr-0's was"
        ],
        "verdict": "A new small coding model from Cognition that anyone can try free in Devin Desktop and Devin CLI until 30 November 2026, with strong vendor-reported coding scores. It has no model API, no published per-token price, context length or model card, and no public weights, so an agent can reach it only by driving Devin's own CLI.",
        "bestFor": "People already using Devin Desktop or Devin CLI who want a cheaper, faster model for routine coding work such as automations, reviews and small changes, while it is free in November 2026.",
        "strengths": [
          "Free in Devin Desktop and Devin CLI through 30 November 2026, and selectable per run with `devin --model` or `/model`",
          "Cognition reports large gains over its base model, Terminal-Bench 4.0 from 0.9 to 20.0 and FrontierCode 2.0 from 3.2 to 24.0, with the full benchmark table in the post",
          "Runs inside Devin CLI's sandbox, permissions and hooks, and enterprise admins can allow or block it per team",
          "Cognition holds SOC 2 Type II and ISO/IEC 27001:2022 and publishes an SLA for contracts that include one",
          "Status page with a Desktop Agent component, and in the 90 days to 4 November no incident names Desktop or the CLI, only a scheduled extension marketplace maintenance on 7 August"
        ],
        "weaknesses": [
          "No model API, OpenAPI entry or model card. The Devin API's session agents list SWE-2 but not SWE-2 Flash",
          "No per-token price, context length, output limit or reasoning settings published for it, and the docs' models pages don't list it yet",
          "The weights are withheld for now, with a partner and researcher programme promised but not yet described",
          "Customer data may be used for model training by default on self-serve plans, with the opt-out on paid plans only",
          "The CLI's login token is persistent and doesn't expire by default, and no rate limit figures or retry guidance are published"
        ],
        "agentNotes": [
          "There is no endpoint to call. Run Devin CLI single-turn with `devin -p` and pick the model with `--model`; the SWE-2 Flash model ID isn't documented yet, so check `/model` in the CLI first",
          "Don't rely on the short name `swe`. The docs say it resolves to the latest model in the family, which may be SWE-2 rather than SWE-2 Flash",
          "Plan for billing to start on 1 December 2026. The free period covers Devin Desktop and CLI only, not Devin cloud sessions",
          "Treat Cognition's benchmark figures as the vendor's. No independent result for SWE-2 Flash was found",
          "Keep `credentials.toml` private. The token in it doesn't expire by default and carries the signed-in user's access"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "F",
            "methodology": "0.8",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 37.6
          }
        ],
        "editorialScores": {
          "ergonomics": 10,
          "maintenance": 53,
          "payments": 30,
          "reliability": 50,
          "schema": 29,
          "security": 53,
          "transparency": 56
        },
        "provenanceScore": 72,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-04",
            "maintenance": "2026-11-04",
            "payments": "2026-11-04",
            "reliability": "2026-11-04",
            "schema": "2026-11-04",
            "security": "2026-11-04",
            "transparency": "2026-11-04"
          },
          "last": "2026-11-04",
          "lastMoved": "2026-11-13",
          "oldest": "2026-11-04",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "Install Devin CLI or Devin Desktop from https://devin.ai/download, sign in with `devin auth login`, then choose SWE-2 Flash with `/model`"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/swe-2-flash"
      },
      "sameCompany": [
        "devin"
      ],
      "area": "models",
      "provenance": {
        "legalEntity": "Cognition AI, Inc.",
        "domain": "cognition.com",
        "domainRegistered": "",
        "domainNote": "Not looked up: RDAP isn't requested under the 1 November 2026 rules. The product runs on devin.ai, registered 2022-12-06 per the devin listing's RDAP check of 8 October 2026.",
        "endpointOnVendorDomain": true,
        "terms": "https://cognition.com/legal/platform-terms-of-service",
        "privacy": "https://cognition.com/legal/privacy-policy",
        "statusPage": "https://www.devinstatus.com",
        "changelog": "https://docs.devin.ai/release-notes/overview",
        "securityTxt": "none",
        "checked": "2026-11-04",
        "notes": [
          "The launch post is on cognition.com, signed by the Cognition Team, and the Devin docs, pricing page and status page link the same company. The platform terms (30 June 2026) name Cognition AI, Inc.",
          "The website terms of use (13 May 2024) and platform terms were read for automated-access limits and have none. cognition.com's robots.txt disallows only /downloads/, devin.ai's only /top-secret and /assets/downloads/, docs.devin.ai's /cdn-cgi/ and /_next/ (with Content-Signal ai-input=yes), and www.devinstatus.com's /api/ and /embed/.",
          "security.txt is none per the devin listing's 8 October check, not re-read. The docs give a security address for vulnerability reports.",
          "No SWE-2 Flash entry in the Devin release notes, whose newest is 2 November 2026."
        ],
        "score": 72
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/swe-2-flash.json",
      "live": {
        "slug": "swe-2-flash",
        "vendorStatus": {
          "page": "https://www.devinstatus.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-11-13T23:55:37.082199638Z"
        },
        "securityTxt": {
          "url": "https://cognition.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-13T16:15:03.464575073Z"
        },
        "llmsTxt": {
          "url": "https://docs.devin.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-13T15:56:08.865211016Z"
        },
        "domain": {
          "domain": "cognition.com",
          "registered": "1995-03-03",
          "source": "https://rdap.verisign.com/com/v1/domain/cognition.com",
          "checkedAt": "2026-11-08T15:07:50.264680533Z"
        },
        "updatedAt": "2026-11-13T23:55:37.082199638Z"
      }
    },
    "edges": [
      {
        "by": 76,
        "category": "ergonomics",
        "leads": "hy4",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling is marked for hy4 in the model list (18 of 20). Structured output marked (13 of 15). Cache-hit price published, ¥0.3 against ¥6 input (14 of 15). 1M-token context with 960K input and 64K output (15). Batch at half price covered Hy3 and Hy4 preview on 1 November; whether it covers hy4 wasn't re-read (3 of 10). OpenAI and Anthropic SDKs with a changed base URL, plus Tencent Cloud's SDK and CLI for the control plane (8 of 10). Errors with code, messages, upstream status and request ID (15 of 15). 18 + 13 + 14 + 15 + 3 + 8 + 15 = 86.",
          "b": "Model reading (tool use, structured output, caching, context, batch, SDKs). Tool use is Devin's harness, not something a caller configures; no context length, output limit or cache price is published for SWE-2 Flash (5 of 25). No documented output-size or reasoning controls for this model; SWE-2's effort levels aren't stated for Flash (0 of 20). No model-level error documentation (0 of 20). No idempotency or retry guidance (0 of 20). One flag or picker selects it and `devin -p` runs a single turn and prints to stdout, but there is no SDK or direct endpoint (5 of 15). 5 + 0 + 0 + 0 + 5 = 10."
        },
        "scores": {
          "a": 86,
          "b": 10
        }
      },
      {
        "by": 44,
        "category": "schema",
        "leads": "hy4",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. No OpenAPI file for inference; field pages for the OpenAI and Anthropic formats as TokenHub implements them (12 of 25). llms.txt with Markdown copies (10). The model list, updated 9 November, gives hy4's context, input and output limits and marks thinking, structured output, function calling, caching and image understanding; computer use, which Tencent's release names, isn't marked (13 of 20). Typed field pages (10 of 15). Examples in five languages and an error page of 30 codes (14 of 15). Dated release notes, with hy4 added on 4 November (14 of 15). 12 + 10 + 13 + 10 + 14 + 14 = 73.",
          "b": "Model reading. No model API, so no OpenAPI entry; the Devin v3 OpenAPI file lists SWE-2 agents only, and no model card was found (0). docs.devin.ai serves llms.txt and Markdown copies of every page (10). The launch post says what it is for (automations, code review, feature development, documentation) and the CLI docs say when to pick a SWE model, but the models pages don't list SWE-2 Flash yet (6 of 20). No documented model ID, reasoning settings, context or output limits to type (0 of 15). The CLI pages show `--model` and `/model` examples, with no model-specific errors (3 of 15). Named, dated model versions on Cognition's blog and public release notes, but no release note for SWE-2 Flash yet; the newest is 2 November (10 of 15). 0 + 10 + 6 + 0 + 3 + 10 = 29."
        },
        "scores": {
          "a": 73,
          "b": 29
        }
      },
      {
        "by": 20,
        "category": "maintenance",
        "leads": "hy4",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Added on 4 November 2026 per the release notes; the model list and price page were updated on 9 November (30). Retirement notices of 21 to 33 days, no minimum written (7 of 12). Heavy retirement churn on the platform (3 of 8). Dated release notes and announcements, round-the-clock support (13 of 15). CLI replies not sampled (3 of 10). Control-plane SDKs and CLI, no inference SDK of its own (12 of 15). CLI runtime stated, CI not checked (5 of 10). 30 + 7 + 3 + 13 + 3 + 12 + 5 = 73. The model is a week old, so these lines are TokenHub's habits more than Hy4's record.",
          "b": "Model reading. Released 4 November 2026 (30). Churn and notice in place of release counts: SWE-1.6, SWE-1.7, SWE-1.7 Lightning, SWE-2 (10 September) and now SWE-2 Flash in a few months, with no model deprecation notice period found and short names that move to the newest model (10 of 20). Public release notes and a support address, no public tracker (10 of 25). No official SDK for the model (0 of 15). The docs are kept current but don't yet cover this model (3 of 10). 30 + 10 + 10 + 0 + 3 = 53."
        },
        "scores": {
          "a": 73,
          "b": 53
        }
      },
      {
        "by": 18,
        "category": "security",
        "leads": "hy4",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Bearer keys limited by model, service, IP range and token quota, long-lived with no rotation (26 of 30). The terms say inputs aren't used to train Tencent Cloud's own models, and Hy4 is first party, so no third party's terms apply (14 of 20). Retention only as long as the service needs, no periods (7 of 15). Per-call audit logs and optional full logs to the customer's CLS (14 of 15). No security.txt; Tencent's TSRC bounty covers Tencent Cloud; no certification checked (10 of 20). 26 + 14 + 7 + 14 + 10 = 71.",
          "b": "Read as a hosted model reached through Devin's local clients. The CLI signs in through a browser, or the enterprise identity provider, and stores an API token in credentials.toml that by default is persistent and does not expire and carries the user's access, with no scopes found for it (10 of 30). Devin CLI documents an OS-level sandbox with network filtering, hooks that can block tool calls, and enterprise model allowlists and team settings (14 of 20). Guardrails against prompt injection are Enterprise only and cover user messages, as on the devin listing (8 of 15). Enterprise analytics count tool calls and consumption by model and user; no per-user audit log for the CLI was found (8 of 15). SOC 2 Type II and ISO/IEC 27001:2022, a disclosure address, no bug bounty and no security.txt, per the devin listing (13 of 20). Training: self-serve customer data may train Cognition's models by default, with an opt-out on paid plans that also turns on zero data retention at model providers. Cognition withheld the weights over cyber misuse, which is recorded as a fact, not scored. 10 + 14 + 8 + 8 + 13 = 53."
        },
        "scores": {
          "a": 71,
          "b": 53
        }
      },
      {
        "by": 15,
        "category": "payments",
        "leads": "hy4",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol (0). The price page, updated 9 November, lists ¥6 input, ¥0.3 cached and ¥18 output per million tokens, with Hy4 billed at 50% until 31 December 2026 (20). TokenHub's campaign of 1M free tokens per language model, read on 1 November, isn't confirmed for hy4 on the price page, so half (10 of 20, a judgement call). A person signs up with real-name verification (0). 0 + 20 + 10 + 0 = 30. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 30 is 45.",
          "b": "Published rubric. No payment protocol (0). Plan prices are public, but no per-token price for SWE-2 Flash is on a readable page; the docs' cost table loads in the browser and the post gives only 'one-fifth the price' of SWE-2 (10). Free through 30 November 2026 on Devin Desktop and CLI, but the docs say Free tier users only have SWE-1.6, so whether the Free plan reaches it, and without a card, isn't confirmed; the in-between value used on the devin listing (10). A person signs in through a browser (0). 0 + 10 + 10 + 0 = 20. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 20 is 30."
        },
        "scores": {
          "a": 45,
          "b": 30
        }
      },
      {
        "by": 12,
        "category": "transparency",
        "leads": "swe-2-flash",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service under the TokenHub terms, but Tencent's release headline calls Hy4 open source while the weights and system card are only promised 'in the coming days', with no licence stated, and tencent/Hy4 didn't answer on Hugging Face on 11 November (14 of 30). Terms and FAQ agree inputs aren't used for training; the privacy policy renders only with JavaScript and wasn't read (15 of 30). Dated retirement notices and shutdown fields (13 of 20). Processing generally in mainland China for the China site, Singapore for the international one (13 of 20). Every benchmark in the release is Tencent's own or a partner's. 14 + 15 + 13 + 13 = 55.",
          "b": "Editorial half. Closed model under Cognition's platform terms; the weights aren't public and the sharing programme isn't described yet (15). Terms, privacy policy, security page and DPA agree, with training on self-serve data by default and no retention periods, as read for the devin listing (18). The API versioning policy covers API endpoints, not models, and no model deprecation notice was found (5 of 20). Sub-processors listed with purpose and country, per the devin listing's 8 October check (18). 15 + 18 + 5 + 18 = 56."
        },
        "scores": {
          "a": 52,
          "b": 64
        }
      }
    ],
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Tencent (Hy team)",
        "b": "Cognition AI, Inc.",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Hosted model under the Tencent Cloud TokenHub terms. Tencent says weights and a system card will follow; no licence is stated yet",
        "b": "Proprietary model, used through Devin Desktop and Devin CLI under Cognition's Platform Terms of Service. The weights are not public; Cognition says it is building a programme to share them with industry partners and researchers",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-11-04",
        "b": "2026-11-04",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "2026-06-30",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "2026-03-09",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "yes, with an opt-out",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      }
    ],
    "faq": [
      {
        "answer": "Tencent Hy4 scores 64 (B) on agent readiness against SWE-2 Flash's 37.6 (F), and leads in 5 of 7 scored categories. SWE-2 Flash leads on transparency \u0026 trust.",
        "question": "Which is better for AI agents, Tencent Hy4 or SWE-2 Flash?"
      },
      {
        "answer": "Tencent Hy4 needs an API key. SWE-2 Flash takes an API key or an OAuth sign-in.",
        "question": "Do Tencent Hy4 and SWE-2 Flash need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for Tencent Hy4. No hosted endpoint is listed for SWE-2 Flash.",
        "question": "Can an agent call Tencent Hy4 and SWE-2 Flash without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 73 against 29",
          "Agent ergonomics, 86 against 10",
          "Security \u0026 auth, 71 against 53",
          "Payments \u0026 pricing, 45 against 30",
          "Maintenance \u0026 community, 73 against 53"
        ],
        "also": null,
        "goodFor": "Long-context agent work, coding and office or finance tasks on a 1M-token context with images, for teams already on Tencent Cloud or happy to verify an account there.",
        "slug": "hy4",
        "watchFor": "Weights, licence and system card are promised but not published; tencent/Hy4 didn't answer on Hugging Face on 11 November"
      },
      {
        "aheadOn": [
          "Transparency \u0026 trust, 64 against 52"
        ],
        "also": null,
        "goodFor": "People already using Devin Desktop or Devin CLI who want a cheaper, faster model for routine coding work such as automations, reviews and small changes, while it is free in November 2026.",
        "slug": "swe-2-flash",
        "watchFor": "No model API, OpenAPI entry or model card. The Devin API's session agents list SWE-2 but not SWE-2 Flash"
      }
    ],
    "history": {
      "hy4": [
        {
          "causes": [
            "method"
          ],
          "date": "2026-11-13",
          "delta": 1.8,
          "from": 62.2,
          "fromGrade": "B",
          "to": 64,
          "toGrade": "B"
        }
      ],
      "swe-2-flash": [
        {
          "causes": [
            "method"
          ],
          "date": "2026-11-13",
          "delta": 1.2,
          "from": 36.4,
          "fromGrade": "F",
          "to": 37.6,
          "toGrade": "F"
        }
      ]
    },
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-muse-ember.json",
        "title": "Tencent Hy4 vs Muse Ember",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-muse-ember"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hy4-vs-muse-spark-open.json",
        "title": "Tencent Hy4 vs Muse Spark Open",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-muse-spark-open"
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      {
        "json": "https://www.anchorterminal.com/compare/hy4-vs-nemotron-3-5-super-vl.json",
        "title": "Tencent Hy4 vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-nemotron-3-5-super-vl"
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      {
        "json": "https://www.anchorterminal.com/compare/hy4-vs-novita-ai.json",
        "title": "Tencent Hy4 vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-novita-ai"
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-openai-api.json",
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        "url": "https://www.anchorterminal.com/compare/hy4-vs-openai-api"
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-openrouter.json",
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-prism-inference.json",
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-ramp-router.json",
        "title": "Tencent Hy4 vs Router.com (Ramp Router)",
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-reflection-beam.json",
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      {
        "json": "https://www.anchorterminal.com/compare/hy4-vs-routerplus.json",
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        "url": "https://www.anchorterminal.com/compare/hy4-vs-routerplus"
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-sambanova.json",
        "title": "Tencent Hy4 vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-sambanova"
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      {
        "json": "https://www.anchorterminal.com/compare/hy4-vs-siliconflow.json",
        "title": "Tencent Hy4 vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-siliconflow"
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      {
        "json": "https://www.anchorterminal.com/compare/hy4-vs-simplismart.json",
        "title": "Tencent Hy4 vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-simplismart"
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      {
        "json": "https://www.anchorterminal.com/compare/hy4-vs-stepfun-api.json",
        "title": "Tencent Hy4 vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-stepfun-api"
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-tencent-tokenhub.json",
        "title": "Tencent Hy4 vs Tencent Cloud TokenHub",
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-together-inference.json",
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-vercel-ai-gateway.json",
        "title": "Tencent Hy4 vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-vercel-ai-gateway"
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-vertex-ai.json",
        "title": "Tencent Hy4 vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-vertex-ai"
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        "json": "https://www.anchorterminal.com/compare/hy4-vs-xai-api.json",
        "title": "Tencent Hy4 vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/hy4-vs-xai-api"
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        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-swe-2-flash"
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        "json": "https://www.anchorterminal.com/compare/minimax-api-vs-swe-2-flash.json",
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        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-swe-2-flash"
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      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-swe-2-flash.json",
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        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-swe-2-flash.json",
        "title": "Novita AI vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-swe-2-flash"
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        "url": "https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash"
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        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-swe-2-flash.json",
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        "title": "Router.com (Ramp Router) vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash"
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        "url": "https://www.anchorterminal.com/compare/routerplus-vs-swe-2-flash"
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        "title": "SambaCloud vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-swe-2-flash"
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        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-swe-2-flash.json",
        "title": "SiliconFlow vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-swe-2-flash"
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        "json": "https://www.anchorterminal.com/compare/simplismart-vs-swe-2-flash.json",
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        "url": "https://www.anchorterminal.com/compare/simplismart-vs-swe-2-flash"
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        "json": "https://www.anchorterminal.com/compare/stepfun-api-vs-swe-2-flash.json",
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        "url": "https://www.anchorterminal.com/compare/stepfun-api-vs-swe-2-flash"
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        "json": "https://www.anchorterminal.com/compare/swe-2-flash-vs-tencent-tokenhub.json",
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        "url": "https://www.anchorterminal.com/compare/swe-2-flash-vs-tencent-tokenhub"
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      {
        "json": "https://www.anchorterminal.com/compare/swe-2-flash-vs-together-inference.json",
        "title": "SWE-2 Flash vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/swe-2-flash-vs-together-inference"
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      {
        "json": "https://www.anchorterminal.com/compare/swe-2-flash-vs-vercel-ai-gateway.json",
        "title": "SWE-2 Flash vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/swe-2-flash-vs-vercel-ai-gateway"
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      {
        "json": "https://www.anchorterminal.com/compare/swe-2-flash-vs-vertex-ai.json",
        "title": "SWE-2 Flash vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/swe-2-flash-vs-vertex-ai"
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        "json": "https://www.anchorterminal.com/compare/swe-2-flash-vs-xai-api.json",
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        "url": "https://www.anchorterminal.com/compare/swe-2-flash-vs-xai-api"
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    "panel": null,
    "scores": [
      {
        "by": 4,
        "edge": "swe-2-flash",
        "hy4": 46,
        "key": "reliability",
        "name": "Reliability",
        "swe-2-flash": 50,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 44,
        "edge": "hy4",
        "hy4": 73,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "swe-2-flash": 29,
        "weight": 13
      },
      {
        "by": 76,
        "edge": "hy4",
        "hy4": 86,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "swe-2-flash": 10,
        "weight": 13
      },
      {
        "by": 18,
        "edge": "hy4",
        "hy4": 71,
        "key": "security",
        "name": "Security \u0026 auth",
        "swe-2-flash": 53,
        "weight": 14
      },
      {
        "by": 15,
        "edge": "hy4",
        "hy4": 45,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "swe-2-flash": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 20,
        "edge": "hy4",
        "hy4": 73,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "swe-2-flash": 53,
        "weight": 7
      },
      {
        "by": 12,
        "edge": "swe-2-flash",
        "hy4": 52,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "swe-2-flash": 64,
        "weight": 7
      }
    ],
    "summary": "Tencent Hy4 scores 64 (B) on agent readiness against SWE-2 Flash's 37.6 (F), and leads in 5 of 7 scored categories. SWE-2 Flash leads on transparency \u0026 trust. Both do llm inference.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "hy4": "Tencent's flagship model is on TokenHub as hy4, with a 1M-token context, image understanding, function calling and caching, at ¥6 input and ¥18 output per million tokens, half price until the end of 2026. The weights it is called open source for aren't published yet, and every benchmark is Tencent's own.",
      "swe-2-flash": "A new small coding model from Cognition that anyone can try free in Devin Desktop and Devin CLI until 30 November 2026, with strong vendor-reported coding scores. It has no model API, no published per-token price, context length or model card, and no public weights, so an agent can reach it only by driving Devin's own CLI."
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  "markdown": "Tencent Hy4 scores 64 (B) on agent readiness against SWE-2 Flash's 37.6 (F), and leads in 5 of 7 scored categories. SWE-2 Flash leads on transparency \u0026 trust. Both do llm inference.\n\n- Tencent Hy4: grade B, 64/100, rank #595 of 1524. Markdown https://www.anchorterminal.com/tools/hy4.md · JSON https://www.anchorterminal.com/api/v1/tools/hy4.json\n- SWE-2 Flash: grade F, 37.6/100, rank #1382 of 1524. Markdown https://www.anchorterminal.com/tools/swe-2-flash.md · JSON https://www.anchorterminal.com/api/v1/tools/swe-2-flash.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 1044 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Tencent Hy4 (B)\n\nGood for: Long-context agent work, coding and office or finance tasks on a 1M-token context with images, for teams already on Tencent Cloud or happy to verify an account there.\n\nAhead on:\n- Schema \u0026 documentation, 73 against 29\n- Agent ergonomics, 86 against 10\n- Security \u0026 auth, 71 against 53\n- Payments \u0026 pricing, 45 against 30\n- Maintenance \u0026 community, 73 against 53\n\nWatch for: Weights, licence and system card are promised but not published; tencent/Hy4 didn't answer on Hugging Face on 11 November\n\n### SWE-2 Flash (F)\n\nGood for: People already using Devin Desktop or Devin CLI who want a cheaper, faster model for routine coding work such as automations, reviews and small changes, while it is free in November 2026.\n\nAhead on:\n- Transparency \u0026 trust, 64 against 52\n\nWatch for: No model API, OpenAPI entry or model card. The Devin API's session agents list SWE-2 but not SWE-2 Flash\n\n\n## Why the edge\n\n### Agent ergonomics: Tencent Hy4 +76\n\n- Tencent Hy4 (86): Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling is marked for hy4 in the model list (18 of 20). Structured output marked (13 of 15). Cache-hit price published, ¥0.3 against ¥6 input (14 of 15). 1M-token context with 960K input and 64K output (15). Batch at half price covered Hy3 and Hy4 preview on 1 November; whether it covers hy4 wasn't re-read (3 of 10). OpenAI and Anthropic SDKs with a changed base URL, plus Tencent Cloud's SDK and CLI for the control plane (8 of 10). Errors with code, messages, upstream status and request ID (15 of 15). 18 + 13 + 14 + 15 + 3 + 8 + 15 = 86.\n- SWE-2 Flash (10): Model reading (tool use, structured output, caching, context, batch, SDKs). Tool use is Devin's harness, not something a caller configures; no context length, output limit or cache price is published for SWE-2 Flash (5 of 25). No documented output-size or reasoning controls for this model; SWE-2's effort levels aren't stated for Flash (0 of 20). No model-level error documentation (0 of 20). No idempotency or retry guidance (0 of 20). One flag or picker selects it and `devin -p` runs a single turn and prints to stdout, but there is no SDK or direct endpoint (5 of 15). 5 + 0 + 0 + 0 + 5 = 10.\n\n### Schema \u0026 documentation: Tencent Hy4 +44\n\n- Tencent Hy4 (73): Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. No OpenAPI file for inference; field pages for the OpenAI and Anthropic formats as TokenHub implements them (12 of 25). llms.txt with Markdown copies (10). The model list, updated 9 November, gives hy4's context, input and output limits and marks thinking, structured output, function calling, caching and image understanding; computer use, which Tencent's release names, isn't marked (13 of 20). Typed field pages (10 of 15). Examples in five languages and an error page of 30 codes (14 of 15). Dated release notes, with hy4 added on 4 November (14 of 15). 12 + 10 + 13 + 10 + 14 + 14 = 73.\n- SWE-2 Flash (29): Model reading. No model API, so no OpenAPI entry; the Devin v3 OpenAPI file lists SWE-2 agents only, and no model card was found (0). docs.devin.ai serves llms.txt and Markdown copies of every page (10). The launch post says what it is for (automations, code review, feature development, documentation) and the CLI docs say when to pick a SWE model, but the models pages don't list SWE-2 Flash yet (6 of 20). No documented model ID, reasoning settings, context or output limits to type (0 of 15). The CLI pages show `--model` and `/model` examples, with no model-specific errors (3 of 15). Named, dated model versions on Cognition's blog and public release notes, but no release note for SWE-2 Flash yet; the newest is 2 November (10 of 15). 0 + 10 + 6 + 0 + 3 + 10 = 29.\n\n### Maintenance \u0026 community: Tencent Hy4 +20\n\n- Tencent Hy4 (73): Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Added on 4 November 2026 per the release notes; the model list and price page were updated on 9 November (30). Retirement notices of 21 to 33 days, no minimum written (7 of 12). Heavy retirement churn on the platform (3 of 8). Dated release notes and announcements, round-the-clock support (13 of 15). CLI replies not sampled (3 of 10). Control-plane SDKs and CLI, no inference SDK of its own (12 of 15). CLI runtime stated, CI not checked (5 of 10). 30 + 7 + 3 + 13 + 3 + 12 + 5 = 73. The model is a week old, so these lines are TokenHub's habits more than Hy4's record.\n- SWE-2 Flash (53): Model reading. Released 4 November 2026 (30). Churn and notice in place of release counts: SWE-1.6, SWE-1.7, SWE-1.7 Lightning, SWE-2 (10 September) and now SWE-2 Flash in a few months, with no model deprecation notice period found and short names that move to the newest model (10 of 20). Public release notes and a support address, no public tracker (10 of 25). No official SDK for the model (0 of 15). The docs are kept current but don't yet cover this model (3 of 10). 30 + 10 + 10 + 0 + 3 = 53.\n\n### Security \u0026 auth: Tencent Hy4 +18\n\n- Tencent Hy4 (71): Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Bearer keys limited by model, service, IP range and token quota, long-lived with no rotation (26 of 30). The terms say inputs aren't used to train Tencent Cloud's own models, and Hy4 is first party, so no third party's terms apply (14 of 20). Retention only as long as the service needs, no periods (7 of 15). Per-call audit logs and optional full logs to the customer's CLS (14 of 15). No security.txt; Tencent's TSRC bounty covers Tencent Cloud; no certification checked (10 of 20). 26 + 14 + 7 + 14 + 10 = 71.\n- SWE-2 Flash (53): Read as a hosted model reached through Devin's local clients. The CLI signs in through a browser, or the enterprise identity provider, and stores an API token in credentials.toml that by default is persistent and does not expire and carries the user's access, with no scopes found for it (10 of 30). Devin CLI documents an OS-level sandbox with network filtering, hooks that can block tool calls, and enterprise model allowlists and team settings (14 of 20). Guardrails against prompt injection are Enterprise only and cover user messages, as on the devin listing (8 of 15). Enterprise analytics count tool calls and consumption by model and user; no per-user audit log for the CLI was found (8 of 15). SOC 2 Type II and ISO/IEC 27001:2022, a disclosure address, no bug bounty and no security.txt, per the devin listing (13 of 20). Training: self-serve customer data may train Cognition's models by default, with an opt-out on paid plans that also turns on zero data retention at model providers. Cognition withheld the weights over cyber misuse, which is recorded as a fact, not scored. 10 + 14 + 8 + 8 + 13 = 53.\n\n### Payments \u0026 pricing: Tencent Hy4 +15\n\n- Tencent Hy4 (45): Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol (0). The price page, updated 9 November, lists ¥6 input, ¥0.3 cached and ¥18 output per million tokens, with Hy4 billed at 50% until 31 December 2026 (20). TokenHub's campaign of 1M free tokens per language model, read on 1 November, isn't confirmed for hy4 on the price page, so half (10 of 20, a judgement call). A person signs up with real-name verification (0). 0 + 20 + 10 + 0 = 30. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 30 is 45.\n- SWE-2 Flash (30): Published rubric. No payment protocol (0). Plan prices are public, but no per-token price for SWE-2 Flash is on a readable page; the docs' cost table loads in the browser and the post gives only 'one-fifth the price' of SWE-2 (10). Free through 30 November 2026 on Devin Desktop and CLI, but the docs say Free tier users only have SWE-1.6, so whether the Free plan reaches it, and without a card, isn't confirmed; the in-between value used on the devin listing (10). A person signs in through a browser (0). 0 + 10 + 10 + 0 = 20. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 20 is 30.\n\n### Transparency \u0026 trust: SWE-2 Flash +12\n\n- Tencent Hy4 (52): Model reading for hy4 on Tencent Cloud TokenHub. Platform facts are the tencent-tokenhub listing's (checked 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service under the TokenHub terms, but Tencent's release headline calls Hy4 open source while the weights and system card are only promised 'in the coming days', with no licence stated, and tencent/Hy4 didn't answer on Hugging Face on 11 November (14 of 30). Terms and FAQ agree inputs aren't used for training; the privacy policy renders only with JavaScript and wasn't read (15 of 30). Dated retirement notices and shutdown fields (13 of 20). Processing generally in mainland China for the China site, Singapore for the international one (13 of 20). Every benchmark in the release is Tencent's own or a partner's. 14 + 15 + 13 + 13 = 55.\n- SWE-2 Flash (64): Editorial half. Closed model under Cognition's platform terms; the weights aren't public and the sharing programme isn't described yet (15). Terms, privacy policy, security page and DPA agree, with training on self-serve data by default and no retention periods, as read for the devin listing (18). The API versioning policy covers API endpoints, not models, and no model deprecation notice was found (5 of 20). Sub-processors listed with purpose and country, per the devin listing's 8 October check (18). 15 + 18 + 5 + 18 = 56.\n\n## Score by category\n\n| Category | Weight | Tencent Hy4 | SWE-2 Flash | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 46 | 50 | SWE-2 Flash +4 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 73 | 29 | Tencent Hy4 +44 |\n| Agent ergonomics | 13% (16.2 this run) | 86 | 10 | Tencent Hy4 +76 |\n| Security \u0026 auth | 14% (17.5 this run) | 71 | 53 | Tencent Hy4 +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 45 | 30 | Tencent Hy4 +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 73 | 53 | Tencent Hy4 +20 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 52 | 64 | SWE-2 Flash +12 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **64 · B** | **37.6 · F** | |\n\n## Facts side by side\n\n| Fact | Tencent Hy4 | SWE-2 Flash |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Tencent (Hy team) | Cognition AI, Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP |  |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | Hosted model under the Tencent Cloud TokenHub terms. Tencent says weights and a system card will follow; no licence is stated yet | Proprietary model, used through Devin Desktop and Devin CLI under Cognition's Platform Terms of Service. The weights are not public; Cognition says it is building a programme to share them with industry partners and researchers |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-04 | 2026-11-04 |\n| Terms last updated | couldn't be read | 2026-06-30 |\n| Privacy policy last updated | couldn't be read | 2026-03-09 |\n| Customer content may train models | couldn't be read | yes, with an opt-out |\n| Terms restrict automated access | couldn't be read | not found in the text |\n| Terms restrict benchmarking | couldn't be read | yes |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | yes |\n\n## How the scores have moved\n\n### Tencent Hy4\n\n- +1.8 on 13 November 2026: checklist\n\n### SWE-2 Flash\n\n- +1.2 on 13 November 2026: checklist\n\n## Verdicts\n\n**Tencent Hy4.** Tencent's flagship model is on TokenHub as hy4, with a 1M-token context, image understanding, function calling and caching, at ¥6 input and ¥18 output per million tokens, half price until the end of 2026. The weights it is called open source for aren't published yet, and every benchmark is Tencent's own.\n\n**SWE-2 Flash.** A new small coding model from Cognition that anyone can try free in Devin Desktop and Devin CLI until 30 November 2026, with strong vendor-reported coding scores. It has no model API, no published per-token price, context length or model card, and no public weights, so an agent can reach it only by driving Devin's own CLI.\n\n## Before you call either\n\n### Tencent Hy4\n\n1. Use model id hy4 on TokenHub's OpenAI- or Anthropic-compatible endpoints; hy4-preview is a separate, older model\n2. Keep input under 960K tokens and expect at most 64K output\n3. Reuse prompt prefixes: cached input is ¥0.3 against ¥6\n4. Check the price page for the end of the 50% discount on 31 December 2026 before budgeting\n5. Read rate limits from the console or DescribeModelQuota; the public docs don't give them for chat models\n\n### SWE-2 Flash\n\n1. There is no endpoint to call. Run Devin CLI single-turn with `devin -p` and pick the model with `--model`; the SWE-2 Flash model ID isn't documented yet, so check `/model` in the CLI first\n2. Don't rely on the short name `swe`. The docs say it resolves to the latest model in the family, which may be SWE-2 rather than SWE-2 Flash\n3. Plan for billing to start on 1 December 2026. The free period covers Devin Desktop and CLI only, not Devin cloud sessions\n4. Treat Cognition's benchmark figures as the vendor's. No independent result for SWE-2 Flash was found\n5. Keep `credentials.toml` private. The token in it doesn't expire by default and carries the signed-in user's access\n\n## Questions\n\n### Which is better for AI agents, Tencent Hy4 or SWE-2 Flash?\n\nTencent Hy4 scores 64 (B) on agent readiness against SWE-2 Flash's 37.6 (F), and leads in 5 of 7 scored categories. SWE-2 Flash leads on transparency \u0026 trust.\n\n### Do Tencent Hy4 and SWE-2 Flash need an API key?\n\nTencent Hy4 needs an API key. SWE-2 Flash takes an API key or an OAuth sign-in.\n\n### Can an agent call Tencent Hy4 and SWE-2 Flash without installing anything?\n\nNo hosted endpoint is listed for Tencent Hy4. No hosted endpoint is listed for SWE-2 Flash.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/hy4-vs-swe-2-flash.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hy4-vs-swe-2-flash.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hy4\", \"b\": \"swe-2-flash\"}`. From a terminal: `anchor compare hy4 swe-2-flash`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/hy4.json and https://www.anchorterminal.com/api/v1/tools/swe-2-flash.json\n\n## Other comparisons with Tencent Hy4 or SWE-2 Flash\n\n- [Amazon Bedrock vs Tencent Hy4](https://www.anchorterminal.com/compare/amazon-bedrock-vs-hy4.md)\n- [Amazon Bedrock vs SWE-2 Flash](https://www.anchorterminal.com/compare/amazon-bedrock-vs-swe-2-flash.md)\n- [Claude API vs Tencent Hy4](https://www.anchorterminal.com/compare/anthropic-api-vs-hy4.md)\n- [Claude API vs SWE-2 Flash](https://www.anchorterminal.com/compare/anthropic-api-vs-swe-2-flash.md)\n- [Antseed vs Tencent Hy4](https://www.anchorterminal.com/compare/antseed-vs-hy4.md)\n- [Antseed vs SWE-2 Flash](https://www.anchorterminal.com/compare/antseed-vs-swe-2-flash.md)\n- [Azure OpenAI in Foundry Models vs Tencent Hy4](https://www.anchorterminal.com/compare/azure-openai-vs-hy4.md)\n- [Azure OpenAI in Foundry Models vs SWE-2 Flash](https://www.anchorterminal.com/compare/azure-openai-vs-swe-2-flash.md)\n- [BlockRun.AI vs Tencent Hy4](https://www.anchorterminal.com/compare/blockrun-ai-vs-hy4.md)\n- [BlockRun.AI vs SWE-2 Flash](https://www.anchorterminal.com/compare/blockrun-ai-vs-swe-2-flash.md)\n- [Cerebras Inference vs Tencent Hy4](https://www.anchorterminal.com/compare/cerebras-inference-vs-hy4.md)\n- [Cerebras Inference vs SWE-2 Flash](https://www.anchorterminal.com/compare/cerebras-inference-vs-swe-2-flash.md)\n- [Claude Fable 5.2 vs Tencent Hy4](https://www.anchorterminal.com/compare/claude-fable-5-2-vs-hy4.md)\n- [Claude Fable 5.2 vs SWE-2 Flash](https://www.anchorterminal.com/compare/claude-fable-5-2-vs-swe-2-flash.md)\n- [Claude Mythos 5.2 vs Tencent Hy4](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-hy4.md)\n- [Claude Mythos 5.2 vs SWE-2 Flash](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-swe-2-flash.md)\n- [Cloudflare AI Gateway vs Tencent Hy4](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-hy4.md)\n- [Cloudflare AI Gateway vs SWE-2 Flash](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-swe-2-flash.md)\n- [Cloudflare Workers AI vs Tencent Hy4](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-hy4.md)\n- [Cloudflare Workers AI vs SWE-2 Flash](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-swe-2-flash.md)\n- [Cohere Chat API (Command models) vs Tencent Hy4](https://www.anchorterminal.com/compare/cohere-chat-vs-hy4.md)\n- [Cohere Chat API (Command models) vs SWE-2 Flash](https://www.anchorterminal.com/compare/cohere-chat-vs-swe-2-flash.md)\n- [DeepInfra vs Tencent Hy4](https://www.anchorterminal.com/compare/deepinfra-vs-hy4.md)\n- [DeepInfra vs SWE-2 Flash](https://www.anchorterminal.com/compare/deepinfra-vs-swe-2-flash.md)\n- [DeepSeek API vs Tencent Hy4](https://www.anchorterminal.com/compare/deepseek-api-vs-hy4.md)\n- [DeepSeek API vs SWE-2 Flash](https://www.anchorterminal.com/compare/deepseek-api-vs-swe-2-flash.md)\n- [Eden AI vs Tencent Hy4](https://www.anchorterminal.com/compare/eden-ai-vs-hy4.md)\n- [Eden AI vs SWE-2 Flash](https://www.anchorterminal.com/compare/eden-ai-vs-swe-2-flash.md)\n- [Glimpse vs Tencent Hy4](https://www.anchorterminal.com/compare/elorian-glimpse-vs-hy4.md)\n- [Glimpse vs SWE-2 Flash](https://www.anchorterminal.com/compare/elorian-glimpse-vs-swe-2-flash.md)\n- [Fireworks AI Inference vs Tencent Hy4](https://www.anchorterminal.com/compare/fireworks-inference-vs-hy4.md)\n- [Fireworks AI Inference vs SWE-2 Flash](https://www.anchorterminal.com/compare/fireworks-inference-vs-swe-2-flash.md)\n- [Gemini 4 Carbon vs Tencent Hy4](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-hy4.md)\n- [Gemini 4 Carbon vs SWE-2 Flash](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-swe-2-flash.md)\n- [Gemini 4 Hydrogen vs Tencent Hy4](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-hy4.md)\n- [Gemini 4 Hydrogen vs SWE-2 Flash](https://www.anchorterminal.com/compare/gemini-4-hydrogen-vs-swe-2-flash.md)\n- [Gemini Developer API vs Tencent Hy4](https://www.anchorterminal.com/compare/gemini-api-vs-hy4.md)\n- [Gemini Developer API vs SWE-2 Flash](https://www.anchorterminal.com/compare/gemini-api-vs-swe-2-flash.md)\n- [GroqCloud vs Tencent Hy4](https://www.anchorterminal.com/compare/groq-vs-hy4.md)\n- [GroqCloud vs SWE-2 Flash](https://www.anchorterminal.com/compare/groq-vs-swe-2-flash.md)\n- [Hugging Face Inference Providers vs Tencent Hy4](https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-hy4.md)\n- [Hugging Face Inference Providers vs SWE-2 Flash](https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-swe-2-flash.md)\n- [Tencent Hy4 vs Jais 3](https://www.anchorterminal.com/compare/hy4-vs-jais-3.md)\n- [Tencent Hy4 vs Meta Model API](https://www.anchorterminal.com/compare/hy4-vs-meta-model-api.md)\n- [Tencent Hy4 vs MiniMax API](https://www.anchorterminal.com/compare/hy4-vs-minimax-api.md)\n- [Tencent Hy4 vs Mistral AI API](https://www.anchorterminal.com/compare/hy4-vs-mistral-api.md)\n- [Tencent Hy4 vs Muse Ember](https://www.anchorterminal.com/compare/hy4-vs-muse-ember.md)\n- [Tencent Hy4 vs Muse Spark Open](https://www.anchorterminal.com/compare/hy4-vs-muse-spark-open.md)\n- [Tencent Hy4 vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/hy4-vs-nemotron-3-5-super-vl.md)\n- [Tencent Hy4 vs Novita AI](https://www.anchorterminal.com/compare/hy4-vs-novita-ai.md)\n- [Tencent Hy4 vs OpenAI API](https://www.anchorterminal.com/compare/hy4-vs-openai-api.md)\n- [Tencent Hy4 vs OpenRouter](https://www.anchorterminal.com/compare/hy4-vs-openrouter.md)\n- [Tencent Hy4 vs Prism Inference](https://www.anchorterminal.com/compare/hy4-vs-prism-inference.md)\n- [Tencent Hy4 vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/hy4-vs-ramp-router.md)\n- [Tencent Hy4 vs Beam 1.0](https://www.anchorterminal.com/compare/hy4-vs-reflection-beam.md)\n- [Tencent Hy4 vs RouterPlus](https://www.anchorterminal.com/compare/hy4-vs-routerplus.md)\n- [Tencent Hy4 vs SambaCloud](https://www.anchorterminal.com/compare/hy4-vs-sambanova.md)\n- [Tencent Hy4 vs SiliconFlow](https://www.anchorterminal.com/compare/hy4-vs-siliconflow.md)\n- [Tencent Hy4 vs Simplismart](https://www.anchorterminal.com/compare/hy4-vs-simplismart.md)\n- [Tencent Hy4 vs StepFun API](https://www.anchorterminal.com/compare/hy4-vs-stepfun-api.md)\n- [Tencent Hy4 vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/hy4-vs-tencent-tokenhub.md)\n- [Tencent Hy4 vs Together AI Inference](https://www.anchorterminal.com/compare/hy4-vs-together-inference.md)\n- [Tencent Hy4 vs Vercel AI Gateway](https://www.anchorterminal.com/compare/hy4-vs-vercel-ai-gateway.md)\n- [Tencent Hy4 vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/hy4-vs-vertex-ai.md)\n- [Tencent Hy4 vs xAI API (Grok)](https://www.anchorterminal.com/compare/hy4-vs-xai-api.md)\n- [Jais 3 vs SWE-2 Flash](https://www.anchorterminal.com/compare/jais-3-vs-swe-2-flash.md)\n- [Meta Model API vs SWE-2 Flash](https://www.anchorterminal.com/compare/meta-model-api-vs-swe-2-flash.md)\n- [MiniMax API vs SWE-2 Flash](https://www.anchorterminal.com/compare/minimax-api-vs-swe-2-flash.md)\n- [Mistral AI API vs SWE-2 Flash](https://www.anchorterminal.com/compare/mistral-api-vs-swe-2-flash.md)\n- [Muse Ember vs SWE-2 Flash](https://www.anchorterminal.com/compare/muse-ember-vs-swe-2-flash.md)\n- [Muse Spark Open vs SWE-2 Flash](https://www.anchorterminal.com/compare/muse-spark-open-vs-swe-2-flash.md)\n- [Nemotron 3.5 Super VL vs SWE-2 Flash](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-swe-2-flash.md)\n- [Novita AI vs SWE-2 Flash](https://www.anchorterminal.com/compare/novita-ai-vs-swe-2-flash.md)\n- [OpenAI API vs SWE-2 Flash](https://www.anchorterminal.com/compare/openai-api-vs-swe-2-flash.md)\n- [OpenRouter vs SWE-2 Flash](https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash.md)\n- [Prism Inference vs SWE-2 Flash](https://www.anchorterminal.com/compare/prism-inference-vs-swe-2-flash.md)\n- [Router.com (Ramp Router) vs SWE-2 Flash](https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash.md)\n- [Beam 1.0 vs SWE-2 Flash](https://www.anchorterminal.com/compare/reflection-beam-vs-swe-2-flash.md)\n- [RouterPlus vs SWE-2 Flash](https://www.anchorterminal.com/compare/routerplus-vs-swe-2-flash.md)\n- [SambaCloud vs SWE-2 Flash](https://www.anchorterminal.com/compare/sambanova-vs-swe-2-flash.md)\n- [SiliconFlow vs SWE-2 Flash](https://www.anchorterminal.com/compare/siliconflow-vs-swe-2-flash.md)\n- [Simplismart vs SWE-2 Flash](https://www.anchorterminal.com/compare/simplismart-vs-swe-2-flash.md)\n- [StepFun API vs SWE-2 Flash](https://www.anchorterminal.com/compare/stepfun-api-vs-swe-2-flash.md)\n- [SWE-2 Flash vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/swe-2-flash-vs-tencent-tokenhub.md)\n- [SWE-2 Flash vs Together AI Inference](https://www.anchorterminal.com/compare/swe-2-flash-vs-together-inference.md)\n- [SWE-2 Flash vs Vercel AI Gateway](https://www.anchorterminal.com/compare/swe-2-flash-vs-vercel-ai-gateway.md)\n- [SWE-2 Flash vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/swe-2-flash-vs-vertex-ai.md)\n- [SWE-2 Flash vs xAI API (Grok)](https://www.anchorterminal.com/compare/swe-2-flash-vs-xai-api.md)\n",
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