文档里的价格· 公开文档
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
- 16
- 按次
- 没写
- 缓存读
- 1
- 缓存写
- 没写
- Training
100 · $/1-hour
币种：$ · 具体币种不确定 · 计价数量：1 · 计量方式：hour - 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
1 · $/1000000-token
币种：$ · 具体币种不确定 · 计价数量：1000000 · 计量方式：token - Output
16 · $/1000000-token
币种：$ · 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
- 输出
- 16
- 按次
- 没写或没读出
- 缓存读取
- 1
- 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
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 · $100.00 / hour · Training Prices per 1M tokens.
这一项的完整原始数据
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"currency": null,
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"currencySymbol": "$",
"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
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
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
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
{
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"kind": "INPUT",
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{
"expandedColumnPosition": 3,
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"kind": "CACHE_READ",
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"conditionInterpretation": "FULL_DECLARED_ROW_AND_SCOPE_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
"documentSection": "Finetuning",
"processingMode": "standard",
"requiredFees": "UNKNOWN",
"scopeReview": "PENDING",
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"sourceExpandedRowCells": [
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"sourceHeaders": [
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"sourceRowCells": [
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"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",
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"physicalRowPosition": 1
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],
"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": "7c274d77e83177cf147f3ee72afbf4bc6358a56ccbd061ebf3ebe042e9c22aed",
"cashQualification": "NOT_EVALUATED",
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"classification": "SOURCE_PUBLIC_DOCUMENT_PRICE_DECLARATION",
"conditionReview": "PENDING",
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"inputPrice": "4.00",
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"observedAt": "2026-10-16T08:07:45.337Z",
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