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1 个网站 · 1 条报价

这些价格怎么看

同一个套餐的输入价、输出价、缓存价和条件放在一起，按各网站自己的单位显示，单位不同的价格不能直接比较。

共 1 条报价：近期采集的 0 条，采集时间未确认的 1 条，较旧或还没核实的 0 条。

以上按 计算，算不算「近期」看每条价格自己的采集时间。

按站内名称查看

找到 1 个服务商、1 条报价 · 本页 1 条

platform.openai.com

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共 1 条 · 本页 1 条

近期采集 0 条，采集时间未确认 1 条，较旧或还没核实 0 条。

文档里的价格· 公开文档

gpt-rosalind-research

$/1000000-token · 采集于：

还不知道这个价格有没有过期，暂不当作当前价格。

输入
5.00
输出
25.00
按次
没写
缓存读
0.50
缓存写
没写
  • Input
    5.00 · $/1000000-token
    币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token
  • Cached input
    0.50 · $/1000000-token
    币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token
  • Output
    25.00 · $/1000000-token
    币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token
全部价格、条件和原始数据

gpt-rosalind-research

platform.openai.com · 公开文档里的价格

查看原始页面

还不知道这个价格有没有过期

采集于： · 文档写的有效期到：没写 · 按本站规则算当前价格，到：还没确定

这是服务商自己公开的价格。能不能用真钱按这个价买到、实际用的是谁的模型、质量怎么样，都还没核实。

计价单位：$/1000000-token

输入
5.00
输出
25.00
按次
没写或没读出
缓存读取
0.50
缓存写入
没写或没读出

各项价格

输入

5.00

单位：$/1000000-token

计价数量：1000000 · 计量方式：token

币种：没写明 · 原文符号 $

币种还没确认，暂时不能和其他价格比较。

Input · $5.00 · Input Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "5.00",
  "componentLabel": "Input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "INPUT",
  "measure": "token",
  "sourceAmountText": "$5.00",
  "sourceCellPosition": 1,
  "sourceUnitText": "Input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
缓存读取

0.50

单位：$/1000000-token

计价数量：1000000 · 计量方式：token

币种：没写明 · 原文符号 $

币种还没确认，暂时不能和其他价格比较。

Cached input · $0.50 · Cached input Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "0.50",
  "componentLabel": "Cached input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "CACHE_READ",
  "measure": "token",
  "sourceAmountText": "$0.50",
  "sourceCellPosition": 2,
  "sourceUnitText": "Cached input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
输出

25.00

单位：$/1000000-token

计价数量：1000000 · 计量方式：token

币种：没写明 · 原文符号 $

币种还没确认，暂时不能和其他价格比较。

Output · $25.00 · Output Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "25.00",
  "componentLabel": "Output",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "OUTPUT",
  "measure": "token",
  "sourceAmountText": "$25.00",
  "sourceCellPosition": 3,
  "sourceUnitText": "Output Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
服务商写的全部条件
{
  "componentSourcePositions": [
    {
      "expandedColumnPosition": 1,
      "expandedRowPosition": 1,
      "kind": "INPUT",
      "physicalCellPosition": 1,
      "physicalRowPosition": 1,
      "sourceTablePosition": 6
    },
    {
      "expandedColumnPosition": 2,
      "expandedRowPosition": 1,
      "kind": "CACHE_READ",
      "physicalCellPosition": 2,
      "physicalRowPosition": 1,
      "sourceTablePosition": 6
    },
    {
      "expandedColumnPosition": 3,
      "expandedRowPosition": 1,
      "kind": "OUTPUT",
      "physicalCellPosition": 3,
      "physicalRowPosition": 1,
      "sourceTablePosition": 6
    }
  ],
  "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
  "documentSection": "Life sciences models",
  "requiredFees": "UNKNOWN",
  "scopeReview": "PENDING",
  "sourceExpandedHeaders": [
    [
      "Model",
      "Input",
      "Cached input",
      "Output"
    ]
  ],
  "sourceExpandedRowCells": [
    "gpt-rosalind-research",
    "$5.00",
    "$0.50",
    "$25.00"
  ],
  "sourceHeaderRows": [
    [
      "Model",
      "Input",
      "Cached input",
      "Output"
    ]
  ],
  "sourceHeaders": [
    "Model",
    "Input",
    "Cached input",
    "Output"
  ],
  "sourceRowCells": [
    "gpt-rosalind-research",
    "$5.00",
    "$0.50",
    "$25.00"
  ],
  "sourceSectionContext": "Life sciences models Our latest Rosalind models. Prices per 1M tokens. Billing for gpt-rosalind-research begins on October 5, 2026. Cache-write pricing does not apply to this model. Access is limited to approved internal research through the trusted-access program . All eligible organizations will continue to get access to the latest GPT-Rosalind models as they’re released. Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026, that are eligible for data residency. See our Your data guide for supported regions and processing details.",
  "sourceSpanOrigins": [
    {
      "expandedColumnPosition": 0,
      "physicalCellPosition": 0,
      "physicalRowPosition": 1
    },
    {
      "expandedColumnPosition": 1,
      "physicalCellPosition": 1,
      "physicalRowPosition": 1
    },
    {
      "expandedColumnPosition": 2,
      "physicalCellPosition": 2,
      "physicalRowPosition": 1
    },
    {
      "expandedColumnPosition": 3,
      "physicalCellPosition": 3,
      "physicalRowPosition": 1
    }
  ],
  "sourceUnitDeclaration": "Prices per 1M tokens.",
  "unparsedColumns": []
}
这条价格的完整原始记录
{
  "accountEligibility": "UNKNOWN",
  "cacheReadPrice": "0.50",
  "cacheWritePrice": null,
  "canonicalDocumentId": "1c5951c77552962eaefeaa2c956dd368b3f0a1c9171eff16054b0c1a29f11f36",
  "cashQualification": "NOT_EVALUATED",
  "cashQualified": false,
  "claimOrdinal": 31,
  "classification": "SOURCE_PUBLIC_DOCUMENT_PRICE_DECLARATION",
  "conditionReview": "PENDING",
  "declarationChannel": "NATIVE_PUBLIC_DOCUMENT",
  "declaredConditions": {
    "componentSourcePositions": [
      {
        "expandedColumnPosition": 1,
        "expandedRowPosition": 1,
        "kind": "INPUT",
        "physicalCellPosition": 1,
        "physicalRowPosition": 1,
        "sourceTablePosition": 6
      },
      {
        "expandedColumnPosition": 2,
        "expandedRowPosition": 1,
        "kind": "CACHE_READ",
        "physicalCellPosition": 2,
        "physicalRowPosition": 1,
        "sourceTablePosition": 6
      },
      {
        "expandedColumnPosition": 3,
        "expandedRowPosition": 1,
        "kind": "OUTPUT",
        "physicalCellPosition": 3,
        "physicalRowPosition": 1,
        "sourceTablePosition": 6
      }
    ],
    "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
    "documentSection": "Life sciences models",
    "requiredFees": "UNKNOWN",
    "scopeReview": "PENDING",
    "sourceExpandedHeaders": [
      [
        "Model",
        "Input",
        "Cached input",
        "Output"
      ]
    ],
    "sourceExpandedRowCells": [
      "gpt-rosalind-research",
      "$5.00",
      "$0.50",
      "$25.00"
    ],
    "sourceHeaderRows": [
      [
        "Model",
        "Input",
        "Cached input",
        "Output"
      ]
    ],
    "sourceHeaders": [
      "Model",
      "Input",
      "Cached input",
      "Output"
    ],
    "sourceRowCells": [
      "gpt-rosalind-research",
      "$5.00",
      "$0.50",
      "$25.00"
    ],
    "sourceSectionContext": "Life sciences models Our latest Rosalind models. Prices per 1M tokens. Billing for gpt-rosalind-research begins on October 5, 2026. Cache-write pricing does not apply to this model. Access is limited to approved internal research through the trusted-access program . All eligible organizations will continue to get access to the latest GPT-Rosalind models as they’re released. Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026, that are eligible for data residency. See our Your data guide for supported regions and processing details.",
    "sourceSpanOrigins": [
      {
        "expandedColumnPosition": 0,
        "physicalCellPosition": 0,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 1,
        "physicalCellPosition": 1,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 2,
        "physicalCellPosition": 2,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 3,
        "physicalCellPosition": 3,
        "physicalRowPosition": 1
      }
    ],
    "sourceUnitDeclaration": "Prices per 1M tokens.",
    "unparsedColumns": []
  },
  "documentClaimId": "1c6da65c1aa1b65412c5184f050e58575ddaac0f2b970223921df091af08dc09",
  "freshUntil": null,
  "freshnessQualification": "NOT_EVALUATED",
  "humanExtractionReview": "NOT_PERFORMED",
  "inputPrice": "5.00",
  "modelName": "gpt-rosalind-research",
  "nativePricingSchema": "grandet.native-price-components/v1",
  "observedAt": "2026-10-10T07:52:13.911Z",
  "outputPrice": "25.00",
  "perRequestPrice": null,
  "pricingComponents": [
    {
      "amount": "5.00",
      "componentLabel": "Input",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "INPUT",
      "measure": "token",
      "sourceAmountText": "$5.00",
      "sourceCellPosition": 1,
      "sourceUnitText": "Input Prices per 1M tokens.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    },
    {
      "amount": "0.50",
      "componentLabel": "Cached input",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "CACHE_READ",
      "measure": "token",
      "sourceAmountText": "$0.50",
      "sourceCellPosition": 2,
      "sourceUnitText": "Cached input Prices per 1M tokens.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    },
    {
      "amount": "25.00",
      "componentLabel": "Output",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "OUTPUT",
      "measure": "token",
      "sourceAmountText": "$25.00",
      "sourceCellPosition": 3,
      "sourceUnitText": "Output Prices per 1M tokens.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    }
  ],
  "pricingShape": "PAIRED_TOKEN",
  "publicMaterialHash": "ea360a81d38673a347182e6934e2740bacdeda502eff410c39c5d86abeb3562e",
  "publisherDomain": "developers.openai.com",
  "rankable": false,
  "sourceDomain": "platform.openai.com",
  "sourceId": "platform.openai.com",
  "sourcePositions": {
    "sourceRowPosition": 1,
    "sourceTablePosition": 6
  },
  "sourceUrl": "https://developers.openai.com/api/docs/pricing",
  "unit": "$/1000000-token"
}
下载完整数据

gpt-rosalind-research

这个名称是怎么归类的
{
  "id": "ef3c6ca2b474366b2bda",
  "matches": [
    {
      "declaredName": "gpt-rosalind-research",
      "evidence": {
        "canonicalId": "openai/gpt-rosalind-research",
        "claimId": "ef3c6ca2b474366b2bda",
        "confidence": "DOCUMENTED_IDENTIFIER",
        "declaredName": "gpt-rosalind-research",
        "evidenceIds": [
          "openai-pricing"
        ],
        "evidenceUrl": "https://developers.openai.com/api/docs/pricing",
        "qualifiers": [],
        "qualityVerification": "NOT_MEASURED",
        "relationship": "EXACT_OFFICIAL_IDENTIFIER",
        "status": "OFFICIAL_ID",
        "upstreamVerification": "NOT_TESTED",
        "validity": {
          "appliesTo": "NAME_DECLARATION_ONLY",
          "checkedAt": "2026-10-02",
          "configurationSupport": "NOT_VERIFIED",
          "historicalBackendConfirmed": false
        }
      }
    }
  ],
  "name": "gpt-rosalind-research",
  "officialId": null
}