找到 528 个模型,选好后点「查看报价」。

104 个网站 · 439 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 439 条报价:近期采集的 321 条,采集时间未确认的 26 条,较旧或还没核实的 92 条。

以上按 计算,算不算「近期」看每条价格自己的采集时间。

o4-mini-2025-04-16

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

o4-mini-2025-04-16

MIXED_EXPLICIT_COMPONENT_UNITS · 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
4.00
输出
16.00
按次
没写
缓存读
1.00
缓存写
没写
  • Training
    100.00 · $/1-hour
    币种:$ · 具体币种不确定 · 计价数量:1 · 计量方式:hour
  • Input
    4.00 · $/1000000-token
    币种:$ · 具体币种不确定 · 计价数量:1000000 · 计量方式:token
  • Cached input
    1.00 · $/1000000-token
    币种:$ · 具体币种不确定 · 计价数量:1000000 · 计量方式:token
  • Output
    16.00 · $/1000000-token
    币种:$ · 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

o4-mini-2025-04-16

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:MIXED_EXPLICIT_COMPONENT_UNITS

输入
4.00
输出
16.00
按次
没写或没读出
缓存读取
1.00
缓存写入
没写或没读出

各项价格

其他(不确定是输入还是输出)

100.00

单位:$/1-hour

计价数量:1 · 计量方式:hour

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。

Training · $100.00 / hour · Training Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "100.00",
  "componentLabel": "Training",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1",
  "kind": "OTHER",
  "measure": "hour",
  "sourceAmountText": "$100.00 / hour",
  "sourceCellPosition": 1,
  "sourceUnitText": "Training Prices per 1M tokens.",
  "unit": "$/1-hour",
  "unitResolution": "EXPLICIT_MEASURE"
}
输入

4.00

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 · $4.00 · Input Prices per 1M tokens.

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": "$4.00",
  "sourceCellPosition": 2,
  "sourceUnitText": "Input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
缓存读取

1.00

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。

Cached input · $1.00 · Cached input Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "1.00",
  "componentLabel": "Cached input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "CACHE_READ",
  "measure": "token",
  "sourceAmountText": "$1.00",
  "sourceCellPosition": 3,
  "sourceUnitText": "Cached input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
输出

16.00

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 · $16.00 · Output Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "16.00",
  "componentLabel": "Output",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "OUTPUT",
  "measure": "token",
  "sourceAmountText": "$16.00",
  "sourceCellPosition": 4,
  "sourceUnitText": "Output Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
服务商写的全部条件
{
  "componentSourcePositions": [
    {
      "expandedColumnPosition": 1,
      "expandedRowPosition": 1,
      "kind": "OTHER",
      "physicalCellPosition": 1,
      "physicalRowPosition": 1,
      "sourceTablePosition": 15
    },
    {
      "expandedColumnPosition": 2,
      "expandedRowPosition": 1,
      "kind": "INPUT",
      "physicalCellPosition": 2,
      "physicalRowPosition": 1,
      "sourceTablePosition": 15
    },
    {
      "expandedColumnPosition": 3,
      "expandedRowPosition": 1,
      "kind": "CACHE_READ",
      "physicalCellPosition": 3,
      "physicalRowPosition": 1,
      "sourceTablePosition": 15
    },
    {
      "expandedColumnPosition": 4,
      "expandedRowPosition": 1,
      "kind": "OUTPUT",
      "physicalCellPosition": 4,
      "physicalRowPosition": 1,
      "sourceTablePosition": 15
    }
  ],
  "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
  "documentSection": "Finetuning",
  "processingMode": "standard",
  "requiredFees": "UNKNOWN",
  "scopeReview": "PENDING",
  "sourceExpandedHeaders": [
    [
      "Model",
      "Training",
      "Input",
      "Cached input",
      "Output"
    ]
  ],
  "sourceExpandedRowCells": [
    "o4-mini-2025-04-16",
    "$100.00 / hour",
    "$4.00",
    "$1.00",
    "$16.00"
  ],
  "sourceHeaderRows": [
    [
      "Model",
      "Training",
      "Input",
      "Cached input",
      "Output"
    ]
  ],
  "sourceHeaders": [
    "Model",
    "Training",
    "Input",
    "Cached input",
    "Output"
  ],
  "sourceRowCells": [
    "o4-mini-2025-04-16",
    "$100.00 / hour",
    "$4.00",
    "$1.00",
    "$16.00"
  ],
  "sourceSectionContext": "Finetuning Prices per 1M tokens. OpenAI is winding down the fine-tuning platform. The platform is no longer accessible to new users, but existing users of the fine-tuning platform will be able to create training jobs for the coming months. All fine-tuned models will remain available for inference until their base models are deprecated. The full timeline is here . Standard Batch Standard All models Batch 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.",
  "unparsedColumns": []
}
这条价格的完整原始记录
{
  "accountEligibility": "UNKNOWN",
  "cacheReadPrice": "1.00",
  "cacheWritePrice": null,
  "canonicalDocumentId": "1c5951c77552962eaefeaa2c956dd368b3f0a1c9171eff16054b0c1a29f11f36",
  "cashQualification": "NOT_EVALUATED",
  "cashQualified": false,
  "claimOrdinal": 59,
  "classification": "SOURCE_PUBLIC_DOCUMENT_PRICE_DECLARATION",
  "conditionReview": "PENDING",
  "declarationChannel": "NATIVE_PUBLIC_DOCUMENT",
  "declaredConditions": {
    "componentSourcePositions": [
      {
        "expandedColumnPosition": 1,
        "expandedRowPosition": 1,
        "kind": "OTHER",
        "physicalCellPosition": 1,
        "physicalRowPosition": 1,
        "sourceTablePosition": 15
      },
      {
        "expandedColumnPosition": 2,
        "expandedRowPosition": 1,
        "kind": "INPUT",
        "physicalCellPosition": 2,
        "physicalRowPosition": 1,
        "sourceTablePosition": 15
      },
      {
        "expandedColumnPosition": 3,
        "expandedRowPosition": 1,
        "kind": "CACHE_READ",
        "physicalCellPosition": 3,
        "physicalRowPosition": 1,
        "sourceTablePosition": 15
      },
      {
        "expandedColumnPosition": 4,
        "expandedRowPosition": 1,
        "kind": "OUTPUT",
        "physicalCellPosition": 4,
        "physicalRowPosition": 1,
        "sourceTablePosition": 15
      }
    ],
    "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
    "documentSection": "Finetuning",
    "processingMode": "standard",
    "requiredFees": "UNKNOWN",
    "scopeReview": "PENDING",
    "sourceExpandedHeaders": [
      [
        "Model",
        "Training",
        "Input",
        "Cached input",
        "Output"
      ]
    ],
    "sourceExpandedRowCells": [
      "o4-mini-2025-04-16",
      "$100.00 / hour",
      "$4.00",
      "$1.00",
      "$16.00"
    ],
    "sourceHeaderRows": [
      [
        "Model",
        "Training",
        "Input",
        "Cached input",
        "Output"
      ]
    ],
    "sourceHeaders": [
      "Model",
      "Training",
      "Input",
      "Cached input",
      "Output"
    ],
    "sourceRowCells": [
      "o4-mini-2025-04-16",
      "$100.00 / hour",
      "$4.00",
      "$1.00",
      "$16.00"
    ],
    "sourceSectionContext": "Finetuning Prices per 1M tokens. OpenAI is winding down the fine-tuning platform. The platform is no longer accessible to new users, but existing users of the fine-tuning platform will be able to create training jobs for the coming months. All fine-tuned models will remain available for inference until their base models are deprecated. The full timeline is here . Standard Batch Standard All models Batch All models",
    "sourceSpanOrigins": [
      {
        "expandedColumnPosition": 0,
        "physicalCellPosition": 0,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 1,
        "physicalCellPosition": 1,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 2,
        "physicalCellPosition": 2,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 3,
        "physicalCellPosition": 3,
        "physicalRowPosition": 1
      },
      {
        "expandedColumnPosition": 4,
        "physicalCellPosition": 4,
        "physicalRowPosition": 1
      }
    ],
    "sourceUnitDeclaration": "Prices per 1M tokens.",
    "unparsedColumns": []
  },
  "documentClaimId": "00307235407f41a12f8b685a378b37603879b9415b35c5da99fa431c449e4ba8",
  "freshUntil": null,
  "freshnessQualification": "NOT_EVALUATED",
  "humanExtractionReview": "NOT_PERFORMED",
  "inputPrice": "4.00",
  "modelName": "o4-mini-2025-04-16",
  "nativePricingSchema": "grandet.native-price-components/v1",
  "observedAt": "2026-10-10T07:52:13.911Z",
  "outputPrice": "16.00",
  "perRequestPrice": null,
  "pricingComponents": [
    {
      "amount": "100.00",
      "componentLabel": "Training",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1",
      "kind": "OTHER",
      "measure": "hour",
      "sourceAmountText": "$100.00 / hour",
      "sourceCellPosition": 1,
      "sourceUnitText": "Training Prices per 1M tokens.",
      "unit": "$/1-hour",
      "unitResolution": "EXPLICIT_MEASURE"
    },
    {
      "amount": "4.00",
      "componentLabel": "Input",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "INPUT",
      "measure": "token",
      "sourceAmountText": "$4.00",
      "sourceCellPosition": 2,
      "sourceUnitText": "Input Prices per 1M tokens.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    },
    {
      "amount": "1.00",
      "componentLabel": "Cached input",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "CACHE_READ",
      "measure": "token",
      "sourceAmountText": "$1.00",
      "sourceCellPosition": 3,
      "sourceUnitText": "Cached input Prices per 1M tokens.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    },
    {
      "amount": "16.00",
      "componentLabel": "Output",
      "currency": null,
      "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
      "currencySymbol": "$",
      "denominator": "1000000",
      "kind": "OUTPUT",
      "measure": "token",
      "sourceAmountText": "$16.00",
      "sourceCellPosition": 4,
      "sourceUnitText": "Output Prices per 1M tokens.",
      "unit": "$/1000000-token",
      "unitResolution": "EXPLICIT_MEASURE"
    }
  ],
  "pricingShape": "COMPONENT_SCHEDULE",
  "publicMaterialHash": "ea360a81d38673a347182e6934e2740bacdeda502eff410c39c5d86abeb3562e",
  "publisherDomain": "developers.openai.com",
  "rankable": false,
  "sourceDomain": "platform.openai.com",
  "sourceId": "platform.openai.com",
  "sourcePositions": {
    "sourceRowPosition": 1,
    "sourceTablePosition": 15
  },
  "sourceUrl": "https://developers.openai.com/api/docs/pricing",
  "unit": "MIXED_EXPLICIT_COMPONENT_UNITS"
}

文档里的价格· 公开文档

o4-mini-2025-04-16

MIXED_EXPLICIT_COMPONENT_UNITS · 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
2.00
输出
8.00
按次
没写
缓存读
0.50
缓存写
没写
  • Training
    100.00 · $/1-hour
    币种:$ · 具体币种不确定 · 计价数量:1 · 计量方式:hour
  • Input
    2.00 · $/1000000-token
    币种:$ · 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
    8.00 · $/1000000-token
    币种:$ · 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

o4-mini-2025-04-16

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:MIXED_EXPLICIT_COMPONENT_UNITS

输入
2.00
输出
8.00
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

其他(不确定是输入还是输出)

100.00

单位:$/1-hour

计价数量:1 · 计量方式:hour

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。

Training · $100.00 / hour · Training Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "100.00",
  "componentLabel": "Training",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1",
  "kind": "OTHER",
  "measure": "hour",
  "sourceAmountText": "$100.00 / hour",
  "sourceCellPosition": 1,
  "sourceUnitText": "Training Prices per 1M tokens.",
  "unit": "$/1-hour",
  "unitResolution": "EXPLICIT_MEASURE"
}
输入

2.00

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 · $2.00 · Input Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "2.00",
  "componentLabel": "Input",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "INPUT",
  "measure": "token",
  "sourceAmountText": "$2.00",
  "sourceCellPosition": 2,
  "sourceUnitText": "Input Prices per 1M tokens.",
  "unit": "$/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": "$0.50",
  "sourceCellPosition": 3,
  "sourceUnitText": "Cached input Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
输出

8.00

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 · $8.00 · Output Prices per 1M tokens.

这一项的完整原始数据
{
  "amount": "8.00",
  "componentLabel": "Output",
  "currency": null,
  "currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
  "currencySymbol": "$",
  "denominator": "1000000",
  "kind": "OUTPUT",
  "measure": "token",
  "sourceAmountText": "$8.00",
  "sourceCellPosition": 4,
  "sourceUnitText": "Output Prices per 1M tokens.",
  "unit": "$/1000000-token",
  "unitResolution": "EXPLICIT_MEASURE"
}
服务商写的全部条件
{
  "componentSourcePositions": [
    {
      "expandedColumnPosition": 1,
      "expandedRowPosition": 1,
      "kind": "OTHER",
      "physicalCellPosition": 1,
      "physicalRowPosition": 1,
      "sourceTablePosition": 16
    },
    {
      "expandedColumnPosition": 2,
      "expandedRowPosition": 1,
      "kind": "INPUT",
      "physicalCellPosition": 2,
      "physicalRowPosition": 1,
      "sourceTablePosition": 16
    },
    {
      "expandedColumnPosition": 3,
      "expandedRowPosition": 1,
      "kind": "CACHE_READ",
      "physicalCellPosition": 3,
      "physicalRowPosition": 1,
      "sourceTablePosition": 16
    },
    {
      "expandedColumnPosition": 4,
      "expandedRowPosition": 1,
      "kind": "OUTPUT",
      "physicalCellPosition": 4,
      "physicalRowPosition": 1,
      "sourceTablePosition": 16
    }
  ],
  "conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
  "documentSection": "Finetuning",
  "processingMode": "batch",
  "requiredFees": "UNKNOWN",
  "scopeReview": "PENDING",
  "sourceExpandedHeaders": [
    [
      "Model",
      "Training",
      "Input",
      "Cached input",
      "Output"
    ]
  ],
  "sourceExpandedRowCells": [
    "o4-mini-2025-04-16",
    "$100.00 / hour",
    "$2.00",
    "$0.50",
    "$8.00"
  ],
  "sourceHeaderRows": [
    [
      "Model",
      "Training",
      "Input",
      "Cached input",
      "Output"
    ]
  ],
  "sourceHeaders": [
    "Model",
    "Training",
    "Input",
    "Cached input",
    "Output"
  ],
  "sourceRowCells": [
    "o4-mini-2025-04-16",
    "$100.00 / hour",
    "$2.00",
    "$0.50",
    "$8.00"
  ],
  "sourceSectionContext": "Finetuning Prices per 1M tokens. OpenAI is winding down the fine-tuning platform. The platform is no longer accessible to new users, but existing users of the fine-tuning platform will be able to create training jobs for the coming months. All fine-tuned models will remain available for inference until their base models are deprecated. The full timeline is here . Standard Batch Standard All models Batch 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
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这条价格的完整原始记录
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下载完整数据

o4-mini-2025-04-16-medium

openai/o4-mini-2025-04-16

o4-mini-2025-04-16

o4-mini-2025-04-16-high

o4-mini-2025-04-16-low

这个名称是怎么归类的
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