找到 528 个模型,选好后点「查看报价」。

222 个网站 · 594 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 594 条报价:近期采集的 497 条,采集时间未确认的 26 条,较旧或还没核实的 71 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、2 条报价 · 本页 2 条

platform.openai.com

提问或补充信息

共 2 条 · 本页 2 条

近期采集 0 条,采集时间未确认 2 条,较旧或还没核实 0 条。

文档里的价格· 公开文档

gpt-5.3-codex

$/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
1.75
输出
14.00
按次
没写
缓存读
0.175
缓存写
没写
  • Input
    1.75 · $/1000000-token
    币种:$ · 具体币种不确定 · 计价数量:1000000 · 计量方式:token
  • Cached input
    0.175 · $/1000000-token
    币种:$ · 具体币种不确定 · 计价数量:1000000 · 计量方式:token
  • Output
    14.00 · $/1000000-token
    币种:$ · 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-5.3-codex

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
1.75
输出
14.00
按次
没写或没读出
缓存读取
0.175
缓存写入
没写或没读出

各项价格

输入

1.75

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。

Input · $1.75 · Input Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "1.75",
  "componentLabel": "Input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "INPUT",
  "measure": "token",
  "sourceAmountText": "$1.75",
  "sourceCellPosition": 2,
  "sourceUnitText": "Input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
缓存读取

0.175

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 · $0.175 · Cached input Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "0.175",
  "componentLabel": "Cached input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "CACHE_READ",
  "measure": "token",
  "sourceAmountText": "$0.175",
  "sourceCellPosition": 3,
  "sourceUnitText": "Cached input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
输出

14.00

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 · $14.00 · Output Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "14.00",
  "componentLabel": "Output",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "OUTPUT",
  "measure": "token",
  "sourceAmountText": "$14.00",
  "sourceCellPosition": 4,
  "sourceUnitText": "Output Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
服务商写的全部条件
{
  "componentSourcePositions": [
    {
      "expandedColumnPosition": 2,
      "expandedRowPosition": 2,
      "kind": "INPUT",
      "physicalCellPosition": 2,
      "physicalRowPosition": 2,
      "sourceTablePosition": 13
    },
    {
      "expandedColumnPosition": 3,
      "expandedRowPosition": 2,
      "kind": "CACHE_READ",
      "physicalCellPosition": 3,
      "physicalRowPosition": 2,
      "sourceTablePosition": 13
    },
    {
      "expandedColumnPosition": 4,
      "expandedRowPosition": 2,
      "kind": "OUTPUT",
      "physicalCellPosition": 4,
      "physicalRowPosition": 2,
      "sourceTablePosition": 13
    }
  ],
  "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
  "documentSection": "Specialized models",
  "processingMode": "standard",
  "requiredFees": "UNKNOWN",
  "scopeReview": "PENDING",
  "sourceCategory": "Codex",
  "sourceExpandedHeaders": [
    [
      "Category",
      "Model",
      "Input",
      "Cached input",
      "Output"
    ]
  ],
  "sourceExpandedRowCells": [
    "Codex",
    "gpt-5.3-codex",
    "$1.75",
    "$0.175",
    "$14.00"
  ],
  "sourceHeaderRows": [
    [
      "Category",
      "Model",
      "Input",
      "Cached input",
      "Output"
    ]
  ],
  "sourceHeaders": [
    "Category",
    "Model",
    "Input",
    "Cached input",
    "Output"
  ],
  "sourceRowCells": [
    "Codex",
    "gpt-5.3-codex",
    "$1.75",
    "$0.175",
    "$14.00"
  ],
  "sourceSectionContext": "Specialized models Prices per 1M tokens. Standard Fast Standard All models 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. Fast 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": 2
    },
    {
      "expandedColumnPosition": 1,
      "physicalCellPosition": 1,
      "physicalRowPosition": 2
    },
    {
      "expandedColumnPosition": 2,
      "physicalCellPosition": 2,
      "physicalRowPosition": 2
    },
    {
      "expandedColumnPosition": 3,
      "physicalCellPosition": 3,
      "physicalRowPosition": 2
    },
    {
      "expandedColumnPosition": 4,
      "physicalCellPosition": 4,
      "physicalRowPosition": 2
    }
  ],
  "sourceUnitDeclaration": "Prices per 1M tokens.",
  "unparsedColumns": [
    {
      "header": "Category",
      "value": "Codex"
    }
  ]
}
这条价格的完整原始记录
{
  "accountEligibility": "UNKNOWN",
  "cacheReadPrice": "0.175",
  "cacheWritePrice": null,
  "canonicalDocumentId": "1c5951c77552962eaefeaa2c956dd368b3f0a1c9171eff16054b0c1a29f11f36",
  "cashQualification": "NOT_EVALUATED",
  "cashQualified": false,
  "claimOrdinal": 57,
  "classification": "SOURCE_PUBLIC_DOCUMENT_PRICE_DECLARATION",
  "conditionReview": "PENDING",
  "declarationChannel": "NATIVE_PUBLIC_DOCUMENT",
  "declaredConditions": {
    "componentSourcePositions": [
      {
        "expandedColumnPosition": 2,
        "expandedRowPosition": 2,
        "kind": "INPUT",
        "physicalCellPosition": 2,
        "physicalRowPosition": 2,
        "sourceTablePosition": 13
      },
      {
        "expandedColumnPosition": 3,
        "expandedRowPosition": 2,
        "kind": "CACHE_READ",
        "physicalCellPosition": 3,
        "physicalRowPosition": 2,
        "sourceTablePosition": 13
      },
      {
        "expandedColumnPosition": 4,
        "expandedRowPosition": 2,
        "kind": "OUTPUT",
        "physicalCellPosition": 4,
        "physicalRowPosition": 2,
        "sourceTablePosition": 13
      }
    ],
    "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
    "documentSection": "Specialized models",
    "processingMode": "standard",
    "requiredFees": "UNKNOWN",
    "scopeReview": "PENDING",
    "sourceCategory": "Codex",
    "sourceExpandedHeaders": [
      [
        "Category",
        "Model",
        "Input",
        "Cached input",
        "Output"
      ]
    ],
    "sourceExpandedRowCells": [
      "Codex",
      "gpt-5.3-codex",
      "$1.75",
      "$0.175",
      "$14.00"
    ],
    "sourceHeaderRows": [
      [
        "Category",
        "Model",
        "Input",
        "Cached input",
        "Output"
      ]
    ],
    "sourceHeaders": [
      "Category",
      "Model",
      "Input",
      "Cached input",
      "Output"
    ],
    "sourceRowCells": [
      "Codex",
      "gpt-5.3-codex",
      "$1.75",
      "$0.175",
      "$14.00"
    ],
    "sourceSectionContext": "Specialized models Prices per 1M tokens. Standard Fast Standard All models Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026, that are eligible for data residency. See our Your data guide for supported regions and processing details. Fast Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026, that are eligible for data residency. See our Your data guide for supported regions and processing details.",
    "sourceSpanOrigins": [
      {
        "expandedColumnPosition": 0,
        "physicalCellPosition": 0,
        "physicalRowPosition": 2
      },
      {
        "expandedColumnPosition": 1,
        "physicalCellPosition": 1,
        "physicalRowPosition": 2
      },
      {
        "expandedColumnPosition": 2,
        "physicalCellPosition": 2,
        "physicalRowPosition": 2
      },
      {
        "expandedColumnPosition": 3,
        "physicalCellPosition": 3,
        "physicalRowPosition": 2
      },
      {
        "expandedColumnPosition": 4,
        "physicalCellPosition": 4,
        "physicalRowPosition": 2
      }
    ],
    "sourceUnitDeclaration": "Prices per 1M tokens.",
    "unparsedColumns": [
      {
        "header": "Category",
        "value": "Codex"
      }
    ]
  },
  "documentClaimId": "69a32847ed92c4acd62e20924966288596002a361c2aa1a0d777926ac092be1d",
  "freshUntil": null,
  "freshnessQualification": "NOT_EVALUATED",
  "humanExtractionReview": "NOT_PERFORMED",
  "inputPrice": "1.75",
  "modelName": "gpt-5.3-codex",
  "nativePricingSchema": "grandet.native-price-components/v1",
  "observedAt": "2026-10-10T07:52:13.911Z",
  "outputPrice": "14.00",
  "perRequestPrice": null,
  "pricingComponents": [
    {
      "amount": "1.75",
      "componentLabel": "Input",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "INPUT",
      "measure": "token",
      "sourceAmountText": "$1.75",
      "sourceCellPosition": 2,
      "sourceUnitText": "Input Prices per 1M tokens.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    },
    {
      "amount": "0.175",
      "componentLabel": "Cached input",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "CACHE_READ",
      "measure": "token",
      "sourceAmountText": "$0.175",
      "sourceCellPosition": 3,
      "sourceUnitText": "Cached input Prices per 1M tokens.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    },
    {
      "amount": "14.00",
      "componentLabel": "Output",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "OUTPUT",
      "measure": "token",
      "sourceAmountText": "$14.00",
      "sourceCellPosition": 4,
      "sourceUnitText": "Output Prices per 1M tokens.",
      "unit": "$/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": 2,
    "sourceTablePosition": 13
  },
  "sourceUrl": "https://developers.openai.com/api/docs/pricing",
  "unit": "$/1000000-token"
}

文档里的价格· 公开文档

gpt-5.3-codex

$/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
3.50
输出
28.00
按次
没写
缓存读
0.35
缓存写
没写
  • Input
    3.50 · $/1000000-token
    币种:$ · 具体币种不确定 · 计价数量:1000000 · 计量方式:token
  • Cached input
    0.35 · $/1000000-token
    币种:$ · 具体币种不确定 · 计价数量:1000000 · 计量方式:token
  • Output
    28.00 · $/1000000-token
    币种:$ · 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-5.3-codex

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
3.50
输出
28.00
按次
没写或没读出
缓存读取
0.35
缓存写入
没写或没读出

各项价格

输入

3.50

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。

Input · $3.50 · Input Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "3.50",
  "componentLabel": "Input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "INPUT",
  "measure": "token",
  "sourceAmountText": "$3.50",
  "sourceCellPosition": 2,
  "sourceUnitText": "Input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
缓存读取

0.35

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 · $0.35 · Cached input Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "0.35",
  "componentLabel": "Cached input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "CACHE_READ",
  "measure": "token",
  "sourceAmountText": "$0.35",
  "sourceCellPosition": 3,
  "sourceUnitText": "Cached input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
输出

28.00

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 · $28.00 · Output Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "28.00",
  "componentLabel": "Output",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "OUTPUT",
  "measure": "token",
  "sourceAmountText": "$28.00",
  "sourceCellPosition": 4,
  "sourceUnitText": "Output Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
服务商写的全部条件
{
  "componentSourcePositions": [
    {
      "expandedColumnPosition": 2,
      "expandedRowPosition": 1,
      "kind": "INPUT",
      "physicalCellPosition": 2,
      "physicalRowPosition": 1,
      "sourceTablePosition": 14
    },
    {
      "expandedColumnPosition": 3,
      "expandedRowPosition": 1,
      "kind": "CACHE_READ",
      "physicalCellPosition": 3,
      "physicalRowPosition": 1,
      "sourceTablePosition": 14
    },
    {
      "expandedColumnPosition": 4,
      "expandedRowPosition": 1,
      "kind": "OUTPUT",
      "physicalCellPosition": 4,
      "physicalRowPosition": 1,
      "sourceTablePosition": 14
    }
  ],
  "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
  "documentSection": "Specialized models",
  "processingMode": "fast",
  "requiredFees": "UNKNOWN",
  "scopeReview": "PENDING",
  "sourceCategory": "Codex",
  "sourceExpandedHeaders": [
    [
      "Category",
      "Model",
      "Input",
      "Cached input",
      "Output"
    ]
  ],
  "sourceExpandedRowCells": [
    "Codex",
    "gpt-5.3-codex",
    "$3.50",
    "$0.35",
    "$28.00"
  ],
  "sourceHeaderRows": [
    [
      "Category",
      "Model",
      "Input",
      "Cached input",
      "Output"
    ]
  ],
  "sourceHeaders": [
    "Category",
    "Model",
    "Input",
    "Cached input",
    "Output"
  ],
  "sourceRowCells": [
    "Codex",
    "gpt-5.3-codex",
    "$3.50",
    "$0.35",
    "$28.00"
  ],
  "sourceSectionContext": "Specialized models Prices per 1M tokens. Standard Fast Standard All models 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. Fast 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
    },
    {
      "expandedColumnPosition": 4,
      "physicalCellPosition": 4,
      "physicalRowPosition": 1
    }
  ],
  "sourceUnitDeclaration": "Prices per 1M tokens.",
  "unparsedColumns": [
    {
      "header": "Category",
      "value": "Codex"
    }
  ]
}
这条价格的完整原始记录
{
  "accountEligibility": "UNKNOWN",
  "cacheReadPrice": "0.35",
  "cacheWritePrice": null,
  "canonicalDocumentId": "1c5951c77552962eaefeaa2c956dd368b3f0a1c9171eff16054b0c1a29f11f36",
  "cashQualification": "NOT_EVALUATED",
  "cashQualified": false,
  "claimOrdinal": 58,
  "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": 14
      },
      {
        "expandedColumnPosition": 3,
        "expandedRowPosition": 1,
        "kind": "CACHE_READ",
        "physicalCellPosition": 3,
        "physicalRowPosition": 1,
        "sourceTablePosition": 14
      },
      {
        "expandedColumnPosition": 4,
        "expandedRowPosition": 1,
        "kind": "OUTPUT",
        "physicalCellPosition": 4,
        "physicalRowPosition": 1,
        "sourceTablePosition": 14
      }
    ],
    "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
    "documentSection": "Specialized models",
    "processingMode": "fast",
    "requiredFees": "UNKNOWN",
    "scopeReview": "PENDING",
    "sourceCategory": "Codex",
    "sourceExpandedHeaders": [
      [
        "Category",
        "Model",
        "Input",
        "Cached input",
        "Output"
      ]
    ],
    "sourceExpandedRowCells": [
      "Codex",
      "gpt-5.3-codex",
      "$3.50",
      "$0.35",
      "$28.00"
    ],
    "sourceHeaderRows": [
      [
        "Category",
        "Model",
        "Input",
        "Cached input",
        "Output"
      ]
    ],
    "sourceHeaders": [
      "Category",
      "Model",
      "Input",
      "Cached input",
      "Output"
    ],
    "sourceRowCells": [
      "Codex",
      "gpt-5.3-codex",
      "$3.50",
      "$0.35",
      "$28.00"
    ],
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下载完整数据

gpt-5.3-codex

这个名称是怎么归类的
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