Files
config-center/compute/providers/zhipu.json
Yige e8122c1d77 fix(compute): 按官网补对话型号的 tool_use 标签 (#119)
逐条对照供应商官方文档,核对 36 个对话规格与 70 个 Provider / 套餐预置条目
(capabilities 缺 tool_use / tools / function_calling)的工具调用支持情况:

- 补 tool_use 25 条:规格 9、随规格继承的接入条目 5、接入覆盖 11
- 保持原样 81 条:官方写明不支持或页面互相矛盾 10、已下线或数日内下线 26、
  官方当前文档无该型号或无工具调用说明 34、只在未适配接口上支持 2、官网读取失败 9
- 只改 capabilities,不动 routing;qwen-max 等按华北 2(北京)地域记,国际站不适用
- 同步单模型来源记录、供应商证据目录与来源缺口清单;逐条决定与依据见
  docs/source-rechecks/2026-10-05-tool-calling/README.md
- presetDataVersion 128 → 129
2026-10-04 18:26:40 -07:00

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{
"id": "provider-zhipu-001",
"provider": "zhipu",
"label": "智谱 GLM",
"baseUrl": "https://open.bigmodel.cn/api/anthropic",
"apiFormat": "anthropic-messages",
"apiKeyRef": "zhipu",
"apiKeyVerified": false,
"enabled": false,
"status": "unconfigured",
"priceCurrency": "CNY",
"services": [
"chat",
"vision",
"reasoning",
"fast"
],
"tombstones": [
"embedding-3",
"glm-4.7-thinking",
"glm-z1-air",
"glm-z1-airx",
"glm-z1-flash",
"glm-z1-flashx",
"glm-4-0520"
],
"models": [
{
"modelName": "glm-5.3-flashx",
"displayName": "GLM-5.3-FlashX",
"contextWindow": 1000000,
"maxOutputTokens": 128000,
"capabilities": [
"chat",
"reasoning",
"code",
"multilingual",
"vision",
"video_understanding",
"tool_use",
"long_context",
"fast"
],
"serviceType": [
"chat",
"reasoning",
"vision"
],
"description": "Z.ai GLM-5.3-FlashX,高速多模态推理模型,100 万上下文,始终开启推理",
"extra": {
"thinkingOnly": true,
"cacheHitPrice": 0.57,
"reasoning": {
"supportedEfforts": [
"low",
"high",
"max"
],
"defaultEffort": "max"
},
"pricingNotes": "国内官方标准价,人民币/百万 tokens;Flash 限时优惠以控制台实际结算为准。"
},
"inputPrice": 2,
"outputPrice": 7
},
{
"modelName": "glm-5.3-flash",
"displayName": "GLM-5.3-Flash",
"contextWindow": 1048576,
"maxOutputTokens": 131072,
"capabilities": [
"chat",
"reasoning",
"deep_thinking",
"code",
"tool_use",
"agent",
"long_context",
"vision",
"image_understanding",
"video_understanding"
],
"serviceType": [
"chat",
"reasoning",
"vision"
],
"defaultTemperature": 1,
"defaultTopP": 0.95,
"description": "智谱 GLM-5.3-Flash 原生多模态模型,混合稀疏与线性注意力,面向高效编码与长程 Agent 任务,100 万上下文;强制思考,无法关闭",
"extra": {
"thinkingDefault": true,
"thinkingOnly": true,
"cacheHitPrice": 0.23,
"reasoning": {
"supportedEfforts": [
"low",
"high",
"max"
],
"defaultEffort": "max"
},
"pricingNotes": "国内官方标准价,人民币/百万 tokens;Flash 限时优惠以控制台实际结算为准。"
},
"inputPrice": 0.8,
"outputPrice": 2.8
},
{
"modelName": "glm-5.3",
"displayName": "GLM-5.3",
"contextWindow": 1048576,
"maxOutputTokens": 131072,
"capabilities": [
"chat",
"reasoning",
"deep_thinking",
"code",
"math",
"multilingual",
"tool_use",
"agent",
"long_context"
],
"serviceType": [
"chat"
],
"defaultTemperature": 1,
"defaultTopP": 0.95,
"description": "智谱 GLM-5.3 大推理模型,面向复杂软件工程与长程 Agent 任务,100 万上下文;强制思考,无法关闭",
"extra": {
"thinkingDefault": true,
"thinkingOnly": true,
"cacheHitPrice": 2,
"reasoning": {
"supportedEfforts": [
"low",
"high",
"max"
],
"defaultEffort": "max"
},
"pricingNotes": "国内官方标准价,人民币/百万 tokens;Flash 限时优惠以控制台实际结算为准。"
},
"inputPrice": 8,
"outputPrice": 28
},
{
"modelName": "glm-5.2",
"displayName": "GLM-5.2",
"serviceType": [
"chat",
"reasoning"
],
"description": "智谱 GLM-5.2 最新旗舰模型,面向复杂长程任务与项目级工程交付,1M 上下文,128K 最大输出",
"contextWindow": 1000000,
"maxOutputTokens": 131072,
"capabilities": [
"chat",
"reasoning",
"code",
"multilingual",
"deep_thinking",
"long_context",
"math",
"tool_use",
"agent"
],
"inputPrice": 8,
"outputPrice": 28,
"defaultTemperature": 1,
"defaultTopP": 0.95,
"extra": {
"cacheHitPrice": 2,
"cacheStoragePrice": 0,
"thinking": {
"default": "enabled"
},
"reasoning": {
"supportedEfforts": [
"max",
"xhigh",
"high",
"medium",
"low",
"minimal",
"none"
],
"defaultEffort": "max"
}
}
},
{
"modelName": "glm-5.1",
"displayName": "GLM-5.1",
"serviceType": [
"chat",
"reasoning"
],
"description": "智谱 GLM-5.1 旗舰模型,面向长程 Agentic Coding 与 Autonomous Agent 场景,200K 上下文,128K 最大输出",
"contextWindow": 200000,
"maxOutputTokens": 131072,
"capabilities": [
"chat",
"reasoning",
"code",
"multilingual",
"deep_thinking",
"long_context",
"math",
"tool_use",
"agent"
],
"inputPrice": 6,
"outputPrice": 24,
"defaultTemperature": 1,
"defaultTopP": 0.95,
"extra": {
"cacheHitPrice": 1.3,
"cacheStoragePrice": 0,
"thinking": {
"default": "enabled"
},
"pricingTiers": [
{
"condition": "input_length_k_tokens: [0, 32)",
"inputPrice": 6,
"outputPrice": 24,
"cacheHitPrice": 1.3
},
{
"condition": "input_length_k_tokens: [32+)",
"inputPrice": 8,
"outputPrice": 28,
"cacheHitPrice": 2
}
]
}
},
{
"modelName": "glm-5-turbo",
"displayName": "GLM-5-Turbo",
"serviceType": [
"chat",
"reasoning"
],
"description": "智谱 GLM-5-Turbo,高阶快速模型,面向长链路任务优化,200K 上下文,128K 最大输出",
"contextWindow": 200000,
"maxOutputTokens": 131072,
"capabilities": [
"chat",
"reasoning",
"code",
"deep_thinking",
"long_context",
"tool_use",
"agent",
"fast"
],
"inputPrice": 5,
"outputPrice": 22,
"defaultTemperature": 1,
"defaultTopP": 0.95,
"extra": {
"cacheHitPrice": 1.2,
"cacheStoragePrice": 0,
"decodeSpeed": "40-60 tokens/s",
"thinking": {
"default": "enabled"
},
"pricingTiers": [
{
"condition": "input_length_k_tokens: [0, 32)",
"inputPrice": 5,
"outputPrice": 22,
"cacheHitPrice": 1.2
},
{
"condition": "input_length_k_tokens: [32+)",
"inputPrice": 7,
"outputPrice": 26,
"cacheHitPrice": 1.8
}
]
}
},
{
"modelName": "glm-5",
"displayName": "GLM-5",
"serviceType": [
"chat",
"reasoning"
],
"description": "智谱 GLM-5,面向 Agentic Engineering 的旗舰基座模型,200K 上下文,128K 最大输出",
"contextWindow": 200000,
"maxOutputTokens": 131072,
"capabilities": [
"chat",
"reasoning",
"code",
"multilingual",
"deep_thinking",
"long_context",
"math",
"tool_use",
"agent"
],
"inputPrice": 4,
"outputPrice": 18,
"defaultTemperature": 1,
"defaultTopP": 0.95,
"extra": {
"cacheHitPrice": 1,
"cacheStoragePrice": 0,
"decodeSpeed": "30-50 tokens/s",
"thinking": {
"default": "enabled"
},
"pricingTiers": [
{
"condition": "input_length_k_tokens: [0, 32)",
"inputPrice": 4,
"outputPrice": 18,
"cacheHitPrice": 1
},
{
"condition": "input_length_k_tokens: [32+)",
"inputPrice": 6,
"outputPrice": 22,
"cacheHitPrice": 1.5
}
]
}
},
{
"modelName": "glm-4.7",
"displayName": "GLM-4.7",
"serviceType": [
"chat",
"reasoning"
],
"description": "智谱 GLM-4.7,高智能模型,通用对话、推理与智能体能力全面升级,200K 上下文,128K 最大输出",
"contextWindow": 200000,
"maxOutputTokens": 131072,
"capabilities": [
"chat",
"reasoning",
"code",
"multilingual",
"deep_thinking",
"long_context",
"tool_use",
"agent"
],
"inputPrice": 2,
"outputPrice": 8,
"defaultTemperature": 1,
"defaultTopP": 0.95,
"extra": {
"cacheHitPrice": 0.4,
"cacheStoragePrice": 0,
"decodeSpeed": "30-50 tokens/s",
"thinking": {
"default": "enabled",
"mode": "forced"
},
"pricingTiers": [
{
"condition": "input_length_k_tokens: [0, 32); output_length_k_tokens: [0, 0.2)",
"inputPrice": 2,
"outputPrice": 8,
"cacheHitPrice": 0.4
},
{
"condition": "input_length_k_tokens: [0, 32); output_length_k_tokens: [0.2+)",
"inputPrice": 3,
"outputPrice": 14,
"cacheHitPrice": 0.6
},
{
"condition": "input_length_k_tokens: [32, 200)",
"inputPrice": 4,
"outputPrice": 16,
"cacheHitPrice": 0.8
}
]
}
},
{
"modelName": "glm-4.7-flashx",
"displayName": "GLM-4.7-FlashX",
"serviceType": [
"chat",
"fast"
],
"description": "智谱 GLM-4.7-FlashX 轻量高速模型,适用于中文写作、翻译、角色扮演等通用场景,200K 上下文,128K 最大输出",
"contextWindow": 200000,
"maxOutputTokens": 131072,
"capabilities": [
"chat",
"fast",
"long_context",
"multilingual",
"tool_use"
],
"inputPrice": 0.5,
"outputPrice": 3,
"defaultTemperature": 1,
"defaultTopP": 0.95,
"extra": {
"cacheHitPrice": 0.1,
"cacheStoragePrice": 0,
"decodeSpeed": "30-40 tokens/s"
}
},
{
"modelName": "glm-5v-turbo",
"displayName": "GLM-5V-Turbo",
"serviceType": [
"vision"
],
"description": "智谱首个多模态 Agent 基座模型,支持视频、图像、文本和文件输入,200K 上下文,128K 最大输出",
"contextWindow": 200000,
"maxOutputTokens": 131072,
"capabilities": [
"chat",
"vision",
"video_understanding",
"image_understanding",
"file_understanding",
"reasoning",
"code",
"deep_thinking",
"long_context",
"tool_use",
"agent"
],
"inputPrice": 5,
"outputPrice": 22,
"defaultTemperature": 1,
"defaultTopP": 0.95,
"extra": {
"cacheHitPrice": 1.2,
"cacheStoragePrice": 0,
"decodeSpeed": "30-50 tokens/s",
"thinking": {
"default": "enabled"
},
"inputModalities": [
"image",
"video",
"file",
"text"
],
"pricingTiers": [
{
"condition": "input_length_k_tokens: [0, 32)",
"inputPrice": 5,
"outputPrice": 22,
"cacheHitPrice": 1.2
},
{
"condition": "input_length_k_tokens: [32+)",
"inputPrice": 7,
"outputPrice": 26,
"cacheHitPrice": 1.8
}
]
}
},
{
"modelName": "glm-4.6v",
"displayName": "GLM-4.6V",
"serviceType": [
"vision"
],
"description": "智谱 GLM-4.6V 多模态模型,支持图像、视频、文本和文件理解,128K 上下文,32K 最大输出",
"contextWindow": 128000,
"maxOutputTokens": 32768,
"capabilities": [
"chat",
"vision",
"video_understanding",
"image_understanding",
"file_understanding",
"long_context",
"tool_use",
"reasoning"
],
"inputPrice": 1,
"outputPrice": 3,
"defaultTemperature": 1,
"defaultTopP": 0.95,
"extra": {
"cacheHitPrice": 0.2,
"cacheStoragePrice": 0,
"decodeSpeed": "30-50 tokens/s",
"thinking": {
"default": "enabled"
},
"inputModalities": [
"image",
"video",
"file",
"text"
],
"pricingTiers": [
{
"condition": "input_length_k_tokens: [0, 32)",
"inputPrice": 1,
"outputPrice": 3,
"cacheHitPrice": 0.2
},
{
"condition": "input_length_k_tokens: [32, 128)",
"inputPrice": 2,
"outputPrice": 6,
"cacheHitPrice": 0.4
}
]
}
},
{
"modelName": "glm-4.6",
"displayName": "GLM-4.6",
"serviceType": [
"chat",
"reasoning"
],
"description": "智谱 GLM-4.6,擅长高级编码、复杂推理与工具调用,200K 上下文,128K 最大输出",
"contextWindow": 200000,
"maxOutputTokens": 131072,
"capabilities": [
"chat",
"reasoning",
"code",
"multilingual",
"deep_thinking",
"long_context",
"tool_use"
],
"inputPrice": 2,
"outputPrice": 8,
"defaultTemperature": 1,
"defaultTopP": 0.95,
"extra": {
"cacheHitPrice": 0.5,
"thinking": {
"default": "enabled"
}
}
}
]
}