mirror of
https://git.openapi.site/https://github.com/desirecore/config-center.git
synced 2026-10-21 06:24:14 +08:00
Yige
92e0d4651a
## Summary - add GLM-5.2 and GLM-4.7-FlashX to Zhipu provider config - update GLM context/output/pricing tiers from official BigModel docs and pricing - align Zhipu Coding Plan with official GLM-5.2, GLM-5-Turbo, and GLM-4.7 availability - sync existing GLM max output values in DashScope configs - address Copilot review by using extra.pricingTiers consistently ## Validation - npm run validate - npm test - git diff --check
434 lines
11 KiB
JSON
434 lines
11 KiB
JSON
{
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"id": "provider-zhipu-001",
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"provider": "zhipu",
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"label": "智谱 GLM",
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"baseUrl": "https://open.bigmodel.cn/api/anthropic",
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"apiFormat": "anthropic-messages",
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"apiKeyRef": "zhipu",
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"apiKeyVerified": false,
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"enabled": false,
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"status": "unconfigured",
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"priceCurrency": "CNY",
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"services": [
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"chat",
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"vision",
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"reasoning",
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"fast"
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],
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"tombstones": [
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"embedding-3",
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"glm-4.7-thinking",
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"glm-z1-air",
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"glm-z1-airx",
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"glm-z1-flash",
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"glm-z1-flashx",
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"glm-4-0520"
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],
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"models": [
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{
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"modelName": "glm-5.2",
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"displayName": "GLM-5.2",
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"serviceType": [
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"chat",
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"reasoning"
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],
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"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",
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"contextWindow": 1000000,
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"maxOutputTokens": 131072,
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"capabilities": [
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"chat",
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"reasoning",
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"code",
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"multilingual",
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"deep_thinking",
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"long_context",
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"math",
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"tool_use",
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"agent"
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],
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"inputPrice": 8,
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"outputPrice": 28,
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"defaultTemperature": 1,
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"defaultTopP": 0.95,
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"extra": {
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"cacheHitPrice": 2,
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"cacheStoragePrice": 0,
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"thinking": {
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"default": "enabled"
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},
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"reasoningEffort": {
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"default": "max",
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"supported": [
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"max",
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"xhigh",
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"high",
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"medium",
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"low",
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"minimal",
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"none"
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]
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}
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}
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},
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{
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"modelName": "glm-5.1",
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"displayName": "GLM-5.1",
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"serviceType": [
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"chat",
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"reasoning"
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],
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"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",
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"contextWindow": 200000,
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"maxOutputTokens": 131072,
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"capabilities": [
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"chat",
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"reasoning",
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"code",
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"multilingual",
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"deep_thinking",
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"long_context",
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"math",
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"tool_use",
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"agent"
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],
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"inputPrice": 6,
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"outputPrice": 24,
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"defaultTemperature": 1,
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"defaultTopP": 0.95,
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"extra": {
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"cacheHitPrice": 1.3,
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"cacheStoragePrice": 0,
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"thinking": {
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"default": "enabled"
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},
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"pricingTiers": [
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{
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"condition": "input_length_k_tokens: [0, 32)",
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"inputPrice": 6,
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"outputPrice": 24,
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"cacheHitPrice": 1.3
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},
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{
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"condition": "input_length_k_tokens: [32+)",
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"inputPrice": 8,
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"outputPrice": 28,
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"cacheHitPrice": 2
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}
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]
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}
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},
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{
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"modelName": "glm-5-turbo",
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"displayName": "GLM-5-Turbo",
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"serviceType": [
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"chat",
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"reasoning"
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],
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"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",
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"contextWindow": 200000,
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"maxOutputTokens": 131072,
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"capabilities": [
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"chat",
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"reasoning",
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"code",
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"deep_thinking",
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"long_context",
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"tool_use",
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"agent",
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"fast"
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],
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"inputPrice": 5,
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"outputPrice": 22,
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"defaultTemperature": 1,
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"defaultTopP": 0.95,
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"extra": {
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"cacheHitPrice": 1.2,
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"cacheStoragePrice": 0,
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"decodeSpeed": "40-60 tokens/s",
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"thinking": {
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"default": "enabled"
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},
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"pricingTiers": [
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{
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"condition": "input_length_k_tokens: [0, 32)",
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"inputPrice": 5,
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"outputPrice": 22,
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"cacheHitPrice": 1.2
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},
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{
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"condition": "input_length_k_tokens: [32+)",
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"inputPrice": 7,
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"outputPrice": 26,
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"cacheHitPrice": 1.8
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}
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]
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}
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},
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{
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"modelName": "glm-5",
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"displayName": "GLM-5",
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"serviceType": [
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"chat",
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"reasoning"
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],
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"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",
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"contextWindow": 200000,
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"maxOutputTokens": 131072,
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"capabilities": [
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"chat",
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"reasoning",
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"code",
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"multilingual",
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"deep_thinking",
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"long_context",
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"math",
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"tool_use",
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"agent"
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],
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"inputPrice": 4,
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"outputPrice": 18,
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"defaultTemperature": 1,
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"defaultTopP": 0.95,
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"extra": {
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"cacheHitPrice": 1,
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"cacheStoragePrice": 0,
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"decodeSpeed": "30-50 tokens/s",
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"thinking": {
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"default": "enabled"
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},
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"pricingTiers": [
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{
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"condition": "input_length_k_tokens: [0, 32)",
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"inputPrice": 4,
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"outputPrice": 18,
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"cacheHitPrice": 1
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},
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{
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"condition": "input_length_k_tokens: [32+)",
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"inputPrice": 6,
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"outputPrice": 22,
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"cacheHitPrice": 1.5
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}
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]
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}
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},
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{
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"modelName": "glm-4.7",
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"displayName": "GLM-4.7",
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"serviceType": [
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"chat",
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"reasoning"
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],
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"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",
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"contextWindow": 200000,
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"maxOutputTokens": 131072,
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"capabilities": [
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"chat",
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"reasoning",
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"code",
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"multilingual",
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"deep_thinking",
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"long_context",
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"tool_use",
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"agent"
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],
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"inputPrice": 2,
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"outputPrice": 8,
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"defaultTemperature": 1,
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"defaultTopP": 0.95,
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"extra": {
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"cacheHitPrice": 0.4,
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"cacheStoragePrice": 0,
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"decodeSpeed": "30-50 tokens/s",
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"thinking": {
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"default": "enabled",
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"mode": "forced"
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},
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"pricingTiers": [
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{
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"condition": "input_length_k_tokens: [0, 32); output_length_k_tokens: [0, 0.2)",
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"inputPrice": 2,
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"outputPrice": 8,
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"cacheHitPrice": 0.4
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},
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{
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"condition": "input_length_k_tokens: [0, 32); output_length_k_tokens: [0.2+)",
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"inputPrice": 3,
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"outputPrice": 14,
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"cacheHitPrice": 0.6
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},
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{
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"condition": "input_length_k_tokens: [32, 200)",
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"inputPrice": 4,
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"outputPrice": 16,
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"cacheHitPrice": 0.8
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}
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]
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}
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},
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{
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"modelName": "glm-4.7-flashx",
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"displayName": "GLM-4.7-FlashX",
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"serviceType": [
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"chat",
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"fast"
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],
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"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",
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"contextWindow": 200000,
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"maxOutputTokens": 131072,
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"capabilities": [
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"chat",
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"fast",
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"long_context",
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"multilingual"
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],
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"inputPrice": 0.5,
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"outputPrice": 3,
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"defaultTemperature": 1,
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"defaultTopP": 0.95,
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"extra": {
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"cacheHitPrice": 0.1,
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"cacheStoragePrice": 0,
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"decodeSpeed": "30-40 tokens/s"
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}
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},
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{
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"modelName": "glm-5v-turbo",
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"displayName": "GLM-5V-Turbo",
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"serviceType": [
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"vision"
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],
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"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",
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"contextWindow": 200000,
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"maxOutputTokens": 131072,
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"capabilities": [
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"chat",
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"vision",
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"video_understanding",
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"image_understanding",
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"file_understanding",
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"reasoning",
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"code",
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"deep_thinking",
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"long_context",
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"tool_use",
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"agent"
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],
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"inputPrice": 5,
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"outputPrice": 22,
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"defaultTemperature": 1,
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"defaultTopP": 0.95,
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"extra": {
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"cacheHitPrice": 1.2,
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"cacheStoragePrice": 0,
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"decodeSpeed": "30-50 tokens/s",
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"thinking": {
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"default": "enabled"
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},
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"inputModalities": [
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"image",
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"video",
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"file",
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"text"
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],
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"pricingTiers": [
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{
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"condition": "input_length_k_tokens: [0, 32)",
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"inputPrice": 5,
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"outputPrice": 22,
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"cacheHitPrice": 1.2
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},
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{
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"condition": "input_length_k_tokens: [32+)",
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"inputPrice": 7,
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"outputPrice": 26,
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"cacheHitPrice": 1.8
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}
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]
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}
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},
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{
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"modelName": "glm-4.6v",
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"displayName": "GLM-4.6V",
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"serviceType": [
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"vision"
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],
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"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",
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"contextWindow": 128000,
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"maxOutputTokens": 32768,
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"capabilities": [
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"chat",
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"vision",
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"video_understanding",
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"image_understanding",
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"file_understanding",
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"long_context",
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"tool_use",
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"reasoning"
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],
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"inputPrice": 1,
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"outputPrice": 3,
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"defaultTemperature": 1,
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"defaultTopP": 0.95,
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"extra": {
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"cacheHitPrice": 0.2,
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"cacheStoragePrice": 0,
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"decodeSpeed": "30-50 tokens/s",
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"thinking": {
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"default": "enabled"
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},
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"inputModalities": [
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"image",
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"video",
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"file",
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"text"
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],
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"pricingTiers": [
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{
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"condition": "input_length_k_tokens: [0, 32)",
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"inputPrice": 1,
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"outputPrice": 3,
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"cacheHitPrice": 0.2
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},
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{
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"condition": "input_length_k_tokens: [32, 128)",
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"inputPrice": 2,
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"outputPrice": 6,
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"cacheHitPrice": 0.4
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}
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]
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}
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},
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{
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"modelName": "glm-4.6",
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"displayName": "GLM-4.6",
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"serviceType": [
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"chat",
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"reasoning"
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],
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"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",
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"contextWindow": 200000,
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"maxOutputTokens": 131072,
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"capabilities": [
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"chat",
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"reasoning",
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"code",
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"multilingual",
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"deep_thinking",
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"long_context",
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"tool_use"
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],
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"inputPrice": 2,
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"outputPrice": 8,
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"defaultTemperature": 1,
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"defaultTopP": 0.95,
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"extra": {
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"cacheHitPrice": 0.5,
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"thinking": {
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"default": "enabled"
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}
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}
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}
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]
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}
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