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找到 529 个模型，选好后点「查看报价」。

2 个网站 · 2 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 2 条报价：近期采集的 1 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

返回全部服务商

找到 1 个服务商、1 条报价 · 本页 1 条

platform.openai.com

提问或补充信息

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-5.6-cyber

$/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
12.5
输出
75
按次
没写
缓存读
1.25
缓存写
15.625
  • Input
    12.5 · $/1000000-token
    币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token
  • Cached input
    1.25 · $/1000000-token
    币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token
  • Cache writes
    15.625 · $/1000000-token
    币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token
  • Output
    75 · $/1000000-token
    币种：$ · 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-5.6-cyber

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
12.5
输出
75
按次
没写或没读出
缓存读取
1.25
缓存写入
15.625

各项价格

输入

12.5

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 · $12.50 · Input Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "12.50",
  "componentLabel": "Input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "INPUT",
  "measure": "token",
  "sourceAmountText": "$12.50",
  "sourceCellPosition": 1,
  "sourceUnitText": "Input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
缓存读取

1.25

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 · $1.25 · Cached input Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "1.25",
  "componentLabel": "Cached input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "CACHE_READ",
  "measure": "token",
  "sourceAmountText": "$1.25",
  "sourceCellPosition": 2,
  "sourceUnitText": "Cached input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
缓存写入

15.625

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。

Cache writes · $15.625 · Cache writes Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "15.625",
  "componentLabel": "Cache writes",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "CACHE_WRITE",
  "measure": "token",
  "sourceAmountText": "$15.625",
  "sourceCellPosition": 3,
  "sourceUnitText": "Cache writes Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
输出

75

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 · $75.00 · Output Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "75.00",
  "componentLabel": "Output",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "OUTPUT",
  "measure": "token",
  "sourceAmountText": "$75.00",
  "sourceCellPosition": 4,
  "sourceUnitText": "Output Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
服务商写的全部条件
{
  "componentSourcePositions": [
    {
      "expandedColumnPosition": 1,
      "expandedRowPosition": 3,
      "kind": "INPUT",
      "physicalCellPosition": 1,
      "physicalRowPosition": 3,
      "sourceTablePosition": 5
    },
    {
      "expandedColumnPosition": 2,
      "expandedRowPosition": 3,
      "kind": "CACHE_READ",
      "physicalCellPosition": 2,
      "physicalRowPosition": 3,
      "sourceTablePosition": 5
    },
    {
      "expandedColumnPosition": 3,
      "expandedRowPosition": 3,
      "kind": "CACHE_WRITE",
      "physicalCellPosition": 3,
      "physicalRowPosition": 3,
      "sourceTablePosition": 5
    },
    {
      "expandedColumnPosition": 4,
      "expandedRowPosition": 3,
      "kind": "OUTPUT",
      "physicalCellPosition": 4,
      "physicalRowPosition": 3,
      "sourceTablePosition": 5
    }
  ],
  "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
  "documentSection": "Cyber models",
  "promptLength": "Short context",
  "requiredFees": "UNKNOWN",
  "scopeReview": "PENDING",
  "sourceExpandedHeaders": [
    [
      "",
      "Short context",
      "Short context",
      "Short context",
      "Short context",
      "Long context",
      "Long context",
      "Long context",
      "Long context"
    ],
    [
      "Model",
      "Input",
      "Cached input",
      "Cache writes",
      "Output",
      "Input",
      "Cached input",
      "Cache writes",
      "Output"
    ]
  ],
  "sourceExpandedRowCells": [
    "gpt-5.6-cyber",
    "$12.50",
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    "$75.00",
    "-",
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    "-"
  ],
  "sourceHeaderRows": [
    [
      "",
      "Short context",
      "Long context"
    ],
    [
      "Model",
      "Input",
      "Cached input",
      "Cache writes",
      "Output",
      "Input",
      "Cached input",
      "Cache writes",
      "Output"
    ]
  ],
  "sourceHeaders": [
    "Model",
    "Input",
    "Cached input",
    "Cache writes",
    "Output",
    "Input",
    "Cached input",
    "Cache writes",
    "Output"
  ],
  "sourceRowCells": [
    "gpt-5.6-cyber",
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    "-",
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    "-"
  ],
  "sourceSectionContext": "Cyber models Our latest Daybreak models. Prices per 1M tokens. All models",
  "sourceSpanOrigins": [
    {
      "expandedColumnPosition": 0,
      "physicalCellPosition": 0,
      "physicalRowPosition": 3
    },
    {
      "expandedColumnPosition": 1,
      "physicalCellPosition": 1,
      "physicalRowPosition": 3
    },
    {
      "expandedColumnPosition": 2,
      "physicalCellPosition": 2,
      "physicalRowPosition": 3
    },
    {
      "expandedColumnPosition": 3,
      "physicalCellPosition": 3,
      "physicalRowPosition": 3
    },
    {
      "expandedColumnPosition": 4,
      "physicalCellPosition": 4,
      "physicalRowPosition": 3
    },
    {
      "expandedColumnPosition": 5,
      "physicalCellPosition": 5,
      "physicalRowPosition": 3
    },
    {
      "expandedColumnPosition": 6,
      "physicalCellPosition": 6,
      "physicalRowPosition": 3
    },
    {
      "expandedColumnPosition": 7,
      "physicalCellPosition": 7,
      "physicalRowPosition": 3
    },
    {
      "expandedColumnPosition": 8,
      "physicalCellPosition": 8,
      "physicalRowPosition": 3
    }
  ],
  "sourceUnitDeclaration": "Prices per 1M tokens.",
  "unparsedColumns": [
    {
      "header": "Input",
      "value": "-"
    },
    {
      "header": "Cached input",
      "value": "-"
    },
    {
      "header": "Cache writes",
      "value": "-"
    },
    {
      "header": "Output",
      "value": "-"
    }
  ]
}
这条价格的完整原始记录
{
  "accountEligibility": "UNKNOWN",
  "cacheReadPrice": "1.25",
  "cacheWritePrice": "15.625",
  "canonicalDocumentId": "7c274d77e83177cf147f3ee72afbf4bc6358a56ccbd061ebf3ebe042e9c22aed",
  "cashQualification": "NOT_EVALUATED",
  "cashQualified": false,
  "claimOrdinal": 30,
  "classification": "SOURCE_PUBLIC_DOCUMENT_PRICE_DECLARATION",
  "conditionReview": "PENDING",
  "declarationChannel": "NATIVE_PUBLIC_DOCUMENT",
  "declaredConditions": {
    "componentSourcePositions": [
      {
        "expandedColumnPosition": 1,
        "expandedRowPosition": 3,
        "kind": "INPUT",
        "physicalCellPosition": 1,
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      },
      {
        "expandedColumnPosition": 2,
        "expandedRowPosition": 3,
        "kind": "CACHE_READ",
        "physicalCellPosition": 2,
        "physicalRowPosition": 3,
        "sourceTablePosition": 5
      },
      {
        "expandedColumnPosition": 3,
        "expandedRowPosition": 3,
        "kind": "CACHE_WRITE",
        "physicalCellPosition": 3,
        "physicalRowPosition": 3,
        "sourceTablePosition": 5
      },
      {
        "expandedColumnPosition": 4,
        "expandedRowPosition": 3,
        "kind": "OUTPUT",
        "physicalCellPosition": 4,
        "physicalRowPosition": 3,
        "sourceTablePosition": 5
      }
    ],
    "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
    "documentSection": "Cyber models",
    "promptLength": "Short context",
    "requiredFees": "UNKNOWN",
    "scopeReview": "PENDING",
    "sourceExpandedHeaders": [
      [
        "",
        "Short context",
        "Short context",
        "Short context",
        "Short context",
        "Long context",
        "Long context",
        "Long context",
        "Long context"
      ],
      [
        "Model",
        "Input",
        "Cached input",
        "Cache writes",
        "Output",
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        "Cached input",
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    ],
    "sourceExpandedRowCells": [
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    ],
    "sourceHeaderRows": [
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    ],
    "sourceHeaders": [
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    "sourceRowCells": [
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    ],
    "sourceSectionContext": "Cyber models Our latest Daybreak models. Prices per 1M tokens. All models",
    "sourceSpanOrigins": [
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    "sourceUnitDeclaration": "Prices per 1M tokens.",
    "unparsedColumns": [
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    ]
  },
  "documentClaimId": "4904079dea17dd87838ba7f5e6d711ee250341347aba5ce5a340bb6b961ac883",
  "freshUntil": null,
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  "humanExtractionReview": "NOT_PERFORMED",
  "inputPrice": "12.50",
  "modelName": "gpt-5.6-cyber",
  "nativePricingSchema": "grandet.native-price-components/v1",
  "observedAt": "2026-10-16T08:07:45.337Z",
  "outputPrice": "75.00",
  "perRequestPrice": null,
  "pricingComponents": [
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    },
    {
      "amount": "75.00",
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      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "OUTPUT",
      "measure": "token",
      "sourceAmountText": "$75.00",
      "sourceCellPosition": 4,
      "sourceUnitText": "Output Prices per 1M tokens.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
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  ],
  "pricingShape": "PAIRED_TOKEN",
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  "publisherDomain": "developers.openai.com",
  "rankable": false,
  "sourceDomain": "platform.openai.com",
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  "sourcePositions": {
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  "sourceUrl": "https://developers.openai.com/api/docs/pricing",
  "unit": "$/1000000-token"
}
下载完整数据

gpt-5.6-cyber

这个名称是怎么归类的
{
  "id": "700e4bdc76906b44c436",
  "matches": [
    {
      "declaredName": "gpt-5.6-cyber",
      "evidence": {
        "canonicalId": "openai/gpt-5.6-cyber",
        "claimId": "700e4bdc76906b44c436",
        "confidence": "DOCUMENTED_IDENTIFIER",
        "declaredName": "gpt-5.6-cyber",
        "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-5.6-cyber",
  "officialId": null
}