搜索模型模型找到 529 个模型，选好后点「查看报价」。

31 个网站 · 79 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 79 条报价：近期采集的 76 条，采集时间未确认的 3 条，较旧或还没核实的 0 条。

以上按 2026年10月24日计算，算不算「近期」看每条价格自己的采集时间。

gpt-realtime-2.1

找到 31 个服务商、79 条报价 · 本页 2 条

platform.openai.com

查看全部套餐 →

提问或补充信息

共 3 条 · 本页 2 条

近期采集 0 条，采集时间未确认 3 条，较旧或还没核实 0 条。

文档里的价格· 公开文档

gpt-realtime-2.1

$/1000000-token · 采集于：2026年10月16日

还不知道这个价格有没有过期，暂不当作当前价格。

输入: 32
输出: 64
按次: 没写
缓存读: 0.4
缓存写: 没写

Input
32 · $/1000000-token
币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token
Cached input
0.4 · $/1000000-token
币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token
Output / cost
64 · $/1000000-token
币种：$ · 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-realtime-2.1

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：2026年10月16日 · 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: 32
输出: 64
按次: 没写或没读出
缓存读取: 0.4
缓存写入: 没写或没读出

各项价格

输入

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 · $32.00 · Input Prices per 1M tokens unless noted.

这一项的完整原始数据

{
  "amount": "32.00",
  "componentLabel": "Input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "INPUT",
  "measure": "token",
  "sourceAmountText": "$32.00",
  "sourceCellPosition": 2,
  "sourceUnitText": "Input Prices per 1M tokens unless noted.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}

缓存读取

0.4

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 · $0.40 · Cached input Prices per 1M tokens unless noted.

这一项的完整原始数据

{
  "amount": "0.40",
  "componentLabel": "Cached input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "CACHE_READ",
  "measure": "token",
  "sourceAmountText": "$0.40",
  "sourceCellPosition": 3,
  "sourceUnitText": "Cached input Prices per 1M tokens unless noted.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}

输出

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 / cost · $64.00 · Output / cost Prices per 1M tokens unless noted.

这一项的完整原始数据

{
  "amount": "64.00",
  "componentLabel": "Output / cost",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "OUTPUT",
  "measure": "token",
  "sourceAmountText": "$64.00",
  "sourceCellPosition": 4,
  "sourceUnitText": "Output / cost Prices per 1M tokens unless noted.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}

服务商写的全部条件

{
  "componentSourcePositions": [
    {
      "expandedColumnPosition": 2,
      "expandedRowPosition": 1,
      "kind": "INPUT",
      "physicalCellPosition": 2,
      "physicalRowPosition": 1,
      "sourceTablePosition": 8
    },
    {
      "expandedColumnPosition": 3,
      "expandedRowPosition": 1,
      "kind": "CACHE_READ",
      "physicalCellPosition": 3,
      "physicalRowPosition": 1,
      "sourceTablePosition": 8
    },
    {
      "expandedColumnPosition": 4,
      "expandedRowPosition": 1,
      "kind": "OUTPUT",
      "physicalCellPosition": 4,
      "physicalRowPosition": 1,
      "sourceTablePosition": 8
    }
  ],
  "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
  "documentSection": "Realtime and audio generation models",
  "modality": "Audio",
  "requiredFees": "UNKNOWN",
  "scopeReview": "PENDING",
  "sourceExpandedHeaders": [
    [
      "Model",
      "Modality",
      "Input",
      "Cached input",
      "Output / cost"
    ]
  ],
  "sourceExpandedRowCells": [
    "gpt-realtime-2.1",
    "Audio",
    "$32.00",
    "$0.40",
    "$64.00"
  ],
  "sourceHeaderRows": [
    [
      "Model",
      "Modality",
      "Input",
      "Cached input",
      "Output / cost"
    ]
  ],
  "sourceHeaders": [
    "Model",
    "Modality",
    "Input",
    "Cached input",
    "Output / cost"
  ],
  "sourceRowCells": [
    "gpt-realtime-2.1",
    "Audio",
    "$32.00",
    "$0.40",
    "$64.00"
  ],
  "sourceSectionContext": "Realtime and audio generation models Prices per 1M tokens unless noted. All models",
  "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
    },
    {
      "expandedColumnPosition": 4,
      "physicalCellPosition": 4,
      "physicalRowPosition": 1
    }
  ],
  "sourceUnitDeclaration": "Prices per 1M tokens unless noted.",
  "unparsedColumns": [
    {
      "header": "Modality",
      "value": "Audio"
    }
  ]
}

这条价格的完整原始记录

{
  "accountEligibility": "UNKNOWN",
  "cacheReadPrice": "0.40",
  "cacheWritePrice": null,
  "canonicalDocumentId": "7c274d77e83177cf147f3ee72afbf4bc6358a56ccbd061ebf3ebe042e9c22aed",
  "cashQualification": "NOT_EVALUATED",
  "cashQualified": false,
  "claimOrdinal": 34,
  "classification": "SOURCE_PUBLIC_DOCUMENT_PRICE_DECLARATION",
  "conditionReview": "PENDING",
  "declarationChannel": "NATIVE_PUBLIC_DOCUMENT",
  "declaredConditions": {
    "componentSourcePositions": [
      {
        "expandedColumnPosition": 2,
        "expandedRowPosition": 1,
        "kind": "INPUT",
        "physicalCellPosition": 2,
        "physicalRowPosition": 1,
        "sourceTablePosition": 8
      },
      {
        "expandedColumnPosition": 3,
        "expandedRowPosition": 1,
        "kind": "CACHE_READ",
        "physicalCellPosition": 3,
        "physicalRowPosition": 1,
        "sourceTablePosition": 8
      },
      {
        "expandedColumnPosition": 4,
        "expandedRowPosition": 1,
        "kind": "OUTPUT",
        "physicalCellPosition": 4,
        "physicalRowPosition": 1,
        "sourceTablePosition": 8
      }
    ],
    "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
    "documentSection": "Realtime and audio generation models",
    "modality": "Audio",
    "requiredFees": "UNKNOWN",
    "scopeReview": "PENDING",
    "sourceExpandedHeaders": [
      [
        "Model",
        "Modality",
        "Input",
        "Cached input",
        "Output / cost"
      ]
    ],
    "sourceExpandedRowCells": [
      "gpt-realtime-2.1",
      "Audio",
      "$32.00",
      "$0.40",
      "$64.00"
    ],
    "sourceHeaderRows": [
      [
        "Model",
        "Modality",
        "Input",
        "Cached input",
        "Output / cost"
      ]
    ],
    "sourceHeaders": [
      "Model",
      "Modality",
      "Input",
      "Cached input",
      "Output / cost"
    ],
    "sourceRowCells": [
      "gpt-realtime-2.1",
      "Audio",
      "$32.00",
      "$0.40",
      "$64.00"
    ],
    "sourceSectionContext": "Realtime and audio generation models Prices per 1M tokens unless noted. All models",
    "sourceSpanOrigins": [
      {
        "expandedColumnPosition": 0,
        "physicalCellPosition": 0,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 1,
        "physicalCellPosition": 1,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 2,
        "physicalCellPosition": 2,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 3,
        "physicalCellPosition": 3,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 4,
        "physicalCellPosition": 4,
        "physicalRowPosition": 1
      }
    ],
    "sourceUnitDeclaration": "Prices per 1M tokens unless noted.",
    "unparsedColumns": [
      {
        "header": "Modality",
        "value": "Audio"
      }
    ]
  },
  "documentClaimId": "a2907ccd92ded5368f2f4e2ffb9f5651d50a0fb228a4149f1219f14a7e1903a4",
  "freshUntil": null,
  "freshnessQualification": "NOT_EVALUATED",
  "humanExtractionReview": "NOT_PERFORMED",
  "inputPrice": "32.00",
  "modelName": "gpt-realtime-2.1",
  "nativePricingSchema": "grandet.native-price-components/v1",
  "observedAt": "2026-10-16T08:07:45.337Z",
  "outputPrice": "64.00",
  "perRequestPrice": null,
  "pricingComponents": [
    {
      "amount": "32.00",
      "componentLabel": "Input",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "INPUT",
      "measure": "token",
      "sourceAmountText": "$32.00",
      "sourceCellPosition": 2,
      "sourceUnitText": "Input Prices per 1M tokens unless noted.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    },
    {
      "amount": "0.40",
      "componentLabel": "Cached input",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "CACHE_READ",
      "measure": "token",
      "sourceAmountText": "$0.40",
      "sourceCellPosition": 3,
      "sourceUnitText": "Cached input Prices per 1M tokens unless noted.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    },
    {
      "amount": "64.00",
      "componentLabel": "Output / cost",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "OUTPUT",
      "measure": "token",
      "sourceAmountText": "$64.00",
      "sourceCellPosition": 4,
      "sourceUnitText": "Output / cost Prices per 1M tokens unless noted.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    }
  ],
  "pricingShape": "PAIRED_TOKEN",
  "publicMaterialHash": "a5c7aff21c2d9a0f35797708091ad50d8e0e5b3736eb5c8c35f573b92e059de1",
  "publisherDomain": "developers.openai.com",
  "rankable": false,
  "sourceDomain": "platform.openai.com",
  "sourceId": "platform.openai.com",
  "sourcePositions": {
    "sourceRowPosition": 1,
    "sourceTablePosition": 8
  },
  "sourceUrl": "https://developers.openai.com/api/docs/pricing",
  "unit": "$/1000000-token"
}

文档里的价格· 公开文档

gpt-realtime-2.1

$/1000000-token · 采集于：2026年10月16日

还不知道这个价格有没有过期，暂不当作当前价格。

输入: 4
输出: 24
按次: 没写
缓存读: 0.4
缓存写: 没写

Input
4 · $/1000000-token
币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token
Cached input
0.4 · $/1000000-token
币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token
Output / cost
24 · $/1000000-token
币种：$ · 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-realtime-2.1

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：2026年10月16日 · 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: 4
输出: 24
按次: 没写或没读出
缓存读取: 0.4
缓存写入: 没写或没读出

各项价格

输入

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 · $4.00 · Input Prices per 1M tokens unless noted.

这一项的完整原始数据

{
  "amount": "4.00",
  "componentLabel": "Input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "INPUT",
  "measure": "token",
  "sourceAmountText": "$4.00",
  "sourceCellPosition": 1,
  "sourceUnitText": "Input Prices per 1M tokens unless noted.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}

缓存读取

0.4

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 · $0.40 · Cached input Prices per 1M tokens unless noted.

这一项的完整原始数据

{
  "amount": "0.40",
  "componentLabel": "Cached input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "CACHE_READ",
  "measure": "token",
  "sourceAmountText": "$0.40",
  "sourceCellPosition": 2,
  "sourceUnitText": "Cached input Prices per 1M tokens unless noted.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}

输出

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 / cost · $24.00 · Output / cost Prices per 1M tokens unless noted.

这一项的完整原始数据

{
  "amount": "24.00",
  "componentLabel": "Output / cost",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "OUTPUT",
  "measure": "token",
  "sourceAmountText": "$24.00",
  "sourceCellPosition": 3,
  "sourceUnitText": "Output / cost Prices per 1M tokens unless noted.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}

服务商写的全部条件

{
  "componentSourcePositions": [
    {
      "expandedColumnPosition": 2,
      "expandedRowPosition": 2,
      "kind": "INPUT",
      "physicalCellPosition": 1,
      "physicalRowPosition": 2,
      "sourceTablePosition": 8
    },
    {
      "expandedColumnPosition": 3,
      "expandedRowPosition": 2,
      "kind": "CACHE_READ",
      "physicalCellPosition": 2,
      "physicalRowPosition": 2,
      "sourceTablePosition": 8
    },
    {
      "expandedColumnPosition": 4,
      "expandedRowPosition": 2,
      "kind": "OUTPUT",
      "physicalCellPosition": 3,
      "physicalRowPosition": 2,
      "sourceTablePosition": 8
    }
  ],
  "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
  "documentSection": "Realtime and audio generation models",
  "modality": "Text",
  "requiredFees": "UNKNOWN",
  "scopeReview": "PENDING",
  "sourceExpandedHeaders": [
    [
      "Model",
      "Modality",
      "Input",
      "Cached input",
      "Output / cost"
    ]
  ],
  "sourceExpandedRowCells": [
    "gpt-realtime-2.1",
    "Text",
    "$4.00",
    "$0.40",
    "$24.00"
  ],
  "sourceHeaderRows": [
    [
      "Model",
      "Modality",
      "Input",
      "Cached input",
      "Output / cost"
    ]
  ],
  "sourceHeaders": [
    "Model",
    "Modality",
    "Input",
    "Cached input",
    "Output / cost"
  ],
  "sourceRowCells": [
    "Text",
    "$4.00",
    "$0.40",
    "$24.00"
  ],
  "sourceSectionContext": "Realtime and audio generation models Prices per 1M tokens unless noted. All models",
  "sourceSpanOrigins": [
    {
      "expandedColumnPosition": 0,
      "physicalCellPosition": 0,
      "physicalRowPosition": 1
    },
    {
      "expandedColumnPosition": 1,
      "physicalCellPosition": 0,
      "physicalRowPosition": 2
    },
    {
      "expandedColumnPosition": 2,
      "physicalCellPosition": 1,
      "physicalRowPosition": 2
    },
    {
      "expandedColumnPosition": 3,
      "physicalCellPosition": 2,
      "physicalRowPosition": 2
    },
    {
      "expandedColumnPosition": 4,
      "physicalCellPosition": 3,
      "physicalRowPosition": 2
    }
  ],
  "sourceUnitDeclaration": "Prices per 1M tokens unless noted.",
  "unparsedColumns": [
    {
      "header": "Modality",
      "value": "Text"
    }
  ]
}

这条价格的完整原始记录

{
  "accountEligibility": "UNKNOWN",
  "cacheReadPrice": "0.40",
  "cacheWritePrice": null,
  "canonicalDocumentId": "7c274d77e83177cf147f3ee72afbf4bc6358a56ccbd061ebf3ebe042e9c22aed",
  "cashQualification": "NOT_EVALUATED",
  "cashQualified": false,
  "claimOrdinal": 35,
  "classification": "SOURCE_PUBLIC_DOCUMENT_PRICE_DECLARATION",
  "conditionReview": "PENDING",
  "declarationChannel": "NATIVE_PUBLIC_DOCUMENT",
  "declaredConditions": {
    "componentSourcePositions": [
      {
        "expandedColumnPosition": 2,
        "expandedRowPosition": 2,
        "kind": "INPUT",
        "physicalCellPosition": 1,
        "physicalRowPosition": 2,
        "sourceTablePosition": 8
      },
      {
        "expandedColumnPosition": 3,
        "expandedRowPosition": 2,
        "kind": "CACHE_READ",
        "physicalCellPosition": 2,
        "physicalRowPosition": 2,
        "sourceTablePosition": 8
      },
      {
        "expandedColumnPosition": 4,
        "expandedRowPosition": 2,
        "kind": "OUTPUT",
        "physicalCellPosition": 3,
        "physicalRowPosition": 2,
        "sourceTablePosition": 8
      }
    ],
    "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
    "documentSection": "Realtime and audio generation models",
    "modality": "Text",
    "requiredFees": "UNKNOWN",
    "scopeReview": "PENDING",
    "sourceExpandedHeaders": [
      [
        "Model",
        "Modality",
        "Input",
        "Cached input",
        "Output / cost"
      ]
    ],
    "sourceExpandedRowCells": [
      "gpt-realtime-2.1",
      "Text",
      "$4.00",
      "$0.40",
      "$24.00"
    ],
    "sourceHeaderRows": [
      [
        "Model",
        "Modality",
        "Input",
        "Cached input",
        "Output / cost"
      ]
    ],
    "sourceHeaders": [
      "Model",
      "Modality",
      "Input",
      "Cached input",
      "Output / cost"
    ],
    "sourceRowCells": [
      "Text",
      "$4.00",
      "$0.40",
      "$24.00"
    ],
    "sourceSectionContext": "Realtime and audio generation models Prices per 1M tokens unless noted. All models",
    "sourceSpanOrigins": [
      {
        "expandedColumnPosition": 0,
        "physicalCellPosition": 0,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 1,
        "physicalCellPosition": 0,
        "physicalRowPosition": 2
      },
      {
        "expandedColumnPosition": 2,
        "physicalCellPosition": 1,
        "physicalRowPosition": 2
      },
      {
        "expandedColumnPosition": 3,
        "physicalCellPosition": 2,
        "physicalRowPosition": 2
      },
      {
        "expandedColumnPosition": 4,
        "physicalCellPosition": 3,
        "physicalRowPosition": 2
      }
    ],
    "sourceUnitDeclaration": "Prices per 1M tokens unless noted.",
    "unparsedColumns": [
      {
        "header": "Modality",
        "value": "Text"
      }
    ]
  },
  "documentClaimId": "c28688d32a982d692f0aa9e55321e8ffab6d71953227e15682fae692f93a1440",
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下载完整数据

gpt-realtime-2.1

这个名称是怎么归类的

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