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
- 0.75
- 输出
- 4.50
- 按次
- 没写
- 缓存读
- 0.075
- 缓存写
- 没写
- Input
0.75 · $/1000000-token
币种:$ · 具体币种不确定 · 计价数量:1000000 · 计量方式:token - Output
4.50 · $/1000000-token
币种:$ · 具体币种不确定 · 计价数量:1000000 · 计量方式:token - Cached Read
0.075 · $/1000000-token
币种:$ · 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 5.4 Mini
opencode.ai · 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:$/1000000-token
- 输入
- 0.75
- 输出
- 4.50
- 按次
- 没写或没读出
- 缓存读取
- 0.075
- 缓存写入
- 没写或没读出
各项价格
输入
0.75
单位:$/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 · $0.75 · $ per 1M tokens
这一项的完整原始数据
{
"amount": "0.75",
"componentLabel": "Input",
"currency": null,
"currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
"currencySymbol": "$",
"denominator": "1000000",
"kind": "INPUT",
"measure": "token",
"sourceAmountText": "$0.75",
"sourceCellPosition": 1,
"sourceUnitText": "$ per 1M tokens",
"unit": "$/1000000-token",
"unitResolution": "EXPLICIT_MEASURE"
}输出
4.50
单位:$/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。
Output · $4.50 · $ per 1M tokens
这一项的完整原始数据
{
"amount": "4.50",
"componentLabel": "Output",
"currency": null,
"currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
"currencySymbol": "$",
"denominator": "1000000",
"kind": "OUTPUT",
"measure": "token",
"sourceAmountText": "$4.50",
"sourceCellPosition": 2,
"sourceUnitText": "$ per 1M tokens",
"unit": "$/1000000-token",
"unitResolution": "EXPLICIT_MEASURE"
}缓存读取
0.075
单位:$/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 Read · $0.075 · $ per 1M tokens
这一项的完整原始数据
{
"amount": "0.075",
"componentLabel": "Cached Read",
"currency": null,
"currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
"currencySymbol": "$",
"denominator": "1000000",
"kind": "CACHE_READ",
"measure": "token",
"sourceAmountText": "$0.075",
"sourceCellPosition": 3,
"sourceUnitText": "$ per 1M tokens",
"unit": "$/1000000-token",
"unitResolution": "EXPLICIT_MEASURE"
}服务商写的全部条件
{
"cashRechargeVerification": "PENDING",
"conditionInterpretation": "FULL_DECLARED_ROW_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
"documentSection": "Pricing",
"requiredFees": "UNKNOWN",
"scopeReview": "PENDING",
"sourceHeaders": [
"Model",
"Input",
"Output",
"Cached Read",
"Cached Write"
],
"sourceRowCells": [
"GPT 5.4 Mini",
"$0.75",
"$4.50",
"$0.075",
"-"
],
"unparsedColumns": [
{
"header": "Cached Write",
"value": "-"
}
]
}这条价格的完整原始记录
{
"accountEligibility": "UNKNOWN",
"cacheReadPrice": "0.075",
"cacheWritePrice": null,
"canonicalDocumentId": "66d693da0609db1b10ba1136beb1da2c053861e46cc2d8c62b57873b2b65b433",
"cashQualification": "NOT_EVALUATED",
"cashQualified": false,
"claimOrdinal": 76,
"classification": "SOURCE_PUBLIC_DOCUMENT_PRICE_DECLARATION",
"conditionReview": "PENDING",
"declarationChannel": "NATIVE_PUBLIC_DOCUMENT",
"declaredConditions": {
"cashRechargeVerification": "PENDING",
"conditionInterpretation": "FULL_DECLARED_ROW_RETAINED_NO_TIER_MINIMUM_OR_MISSING_PRICE_INFERENCE",
"documentSection": "Pricing",
"requiredFees": "UNKNOWN",
"scopeReview": "PENDING",
"sourceHeaders": [
"Model",
"Input",
"Output",
"Cached Read",
"Cached Write"
],
"sourceRowCells": [
"GPT 5.4 Mini",
"$0.75",
"$4.50",
"$0.075",
"-"
],
"unparsedColumns": [
{
"header": "Cached Write",
"value": "-"
}
]
},
"documentClaimId": "35704eacbee323aadc9a620e40bd8c450ce0e7d9b8f728fb7d0f834e3d4eeb8b",
"freshUntil": null,
"freshnessQualification": "NOT_EVALUATED",
"humanExtractionReview": "NOT_PERFORMED",
"inputPrice": "0.75",
"modelName": "GPT 5.4 Mini",
"nativePricingSchema": "grandet.native-price-components/v1",
"observedAt": "2026-10-10T07:51:57.699Z",
"outputPrice": "4.50",
"perRequestPrice": null,
"pricingComponents": [
{
"amount": "0.75",
"componentLabel": "Input",
"currency": null,
"currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
"currencySymbol": "$",
"denominator": "1000000",
"kind": "INPUT",
"measure": "token",
"sourceAmountText": "$0.75",
"sourceCellPosition": 1,
"sourceUnitText": "$ per 1M tokens",
"unit": "$/1000000-token",
"unitResolution": "EXPLICIT_MEASURE"
},
{
"amount": "4.50",
"componentLabel": "Output",
"currency": null,
"currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
"currencySymbol": "$",
"denominator": "1000000",
"kind": "OUTPUT",
"measure": "token",
"sourceAmountText": "$4.50",
"sourceCellPosition": 2,
"sourceUnitText": "$ per 1M tokens",
"unit": "$/1000000-token",
"unitResolution": "EXPLICIT_MEASURE"
},
{
"amount": "0.075",
"componentLabel": "Cached Read",
"currency": null,
"currencyResolution": "SYMBOL_ONLY_UNRESOLVED",
"currencySymbol": "$",
"denominator": "1000000",
"kind": "CACHE_READ",
"measure": "token",
"sourceAmountText": "$0.075",
"sourceCellPosition": 3,
"sourceUnitText": "$ per 1M tokens",
"unit": "$/1000000-token",
"unitResolution": "EXPLICIT_MEASURE"
}
],
"pricingShape": "PAIRED_TOKEN",
"publicMaterialHash": "602121484d854945dec5cd403239646c0c269d16bcf16763751d42a6a44f71d4",
"publisherDomain": "opencode.ai",
"rankable": false,
"sourceDomain": "opencode.ai",
"sourceId": "opencode.ai",
"sourcePositions": {
"sourceRowPosition": 91,
"sourceTablePosition": 1
},
"sourceUrl": "https://opencode.ai/docs/zen",
"unit": "$/1000000-token"
}