Updated September 28, 2026 · DeployCue Editorial Team

IBM watsonx vs Zhipu AI (Z.ai)

Compare IBM watsonx and Zhipu AI (Z.ai) using recorded catalog facts and pricing.
IBM watsonx versus Zhipu AI (Z.ai)
FactIBM watsonxZhipu AI (Z.ai)
Published offerings02

Where IBM watsonx and Zhipu AI (Z.ai) differ

IBM watsonx vs Zhipu AI (Z.ai)
FactIBM watsonxZhipu AI (Z.ai)
Input price from$0.0636 to $3.18$0.030 to $2.20Lower
Output price from$0.265 to $9.50$0.030 to $8.90Lower
Models offeredGranite speech 4 1 2b, Granite 4 1 3b, Granite 4 1 8b, Granite 4 1 30b, Granite vision 4 1 4b, Granite 4h micro, Granite 4h tiny, Granite 4h small, Granite vision 3 3 2b, Granite 3 3 2b instruct, Granite 3 3 8b instruct, Granite 3 2 8b instruct, Granite 3 1 8b base, Granite 3 1 8b instruct, Granite 3 8b base, Granite 13b chat v2, Granite 3b code instruct, Granite 8b code instruct, Granite 20b code base sql gen, Granite 20b code instruct, Granite 20b multilingual, Granite 20b code base schema linking, Granite 34b code instruct, Granite 7b lab, Granite 8b japanese, Granite guardian 3 8b, Llama 4 maverick 17b 128e instruct fp8, Llama 3 3 70b instruct, Llama 3 2 11b vision instruct, Llama guard 3 11b vision, Mistral large 2512, Mistral medium 3 5 0, Devstral small 2512, Ministral 14b instruct 2512, Mistral 8b instruct 2512, Mistral 3b instruct 2512, Mistral medium 2505, Mistral small 3 1 24b instruct 2503, GPT OSS 120b, GPT OSS 20b, Deepseek r1 distill llama 8b, Deepseek r1 distill llama 70b, Nvidia nemotron 3 ultra 550b a55b quantized, Nvidia nemotron nano 12b v2 vl fp8, Eurollm 9b instruct, Mt0 xxl 13b, Poro 34b chat, Allam 1 13b instruct, Granite embedding 278m multilingual, Slate 125m english rtrvr v2, Slate 30m english rtrvr v2, All mini l6 v2, Multilingual e5 largeGLM 5.3 Flash, GLM 5.3 FlashX, GLM 5.3, GLM 5.2, GLM 5.1, GLM 5, GLM 4.7, GLM 4.7 FlashX, GLM 4.7 Flash, GLM 4.6, GLM 4.5, GLM 4.5 X, GLM 4.5 Air, GLM 4.5 AirX, GLM 4.5 Flash, GLM 4 32B 0414 128K, GLM 4.6V, GLM 4.6V FlashX, GLM 4.6V Flash, GLM 4.5V, GLM OCR, GLM Image, CogView 4, CogVideoX 3, GLM ASR 2512
Free creditsFree Toolbox playground: up to 300,000 foundation model tokens, 20 Compute Usage Hours and 100 text extraction documents per monthFree models: GLM-4.7-Flash, GLM-4.5-Flash, GLM-4.6V-Flash; cached input storage limited-time free
Largest context windowNot confirmed1,000,000
OpenAI-compatible APINot confirmedYes

Key differences

  • IBM watsonx scores higher overall: 9.50 vs 9.40.
  • Input price from is lower at Zhipu AI (Z.ai): $0.030 to $2.20 vs $0.0636 to $3.18.
  • Output price from is lower at Zhipu AI (Z.ai): $0.030 to $8.90 vs $0.265 to $9.50.
  • Models offered: only IBM watsonx offers Granite speech 4 1 2b, Granite 4 1 3b, Granite 4 1 8b.
  • Models offered: only Zhipu AI (Z.ai) offers GLM 5.3 Flash, GLM 5.3 FlashX, GLM 5.3.
  • Support channels: only IBM watsonx offers Chat.
  • Support channels: only Zhipu AI (Z.ai) offers Email.

Score breakdown

IBM watsonx vs Zhipu AI (Z.ai)
AreaIBM watsonxZhipu AI (Z.ai)
Cost9.10Input fees of $0.064 to $3.18 and output fees of $0.27 to $9.50 sit mid field, with output the higher of the two.9.70HigherInput fees of $0.03 to $2.20 sit under the site median of €0.07, and free models add savings.
Offer9.60Higher9.20A wide GLM family, an OpenAI compatible API and a 1,000,000 window, but support is email, help centre and community only.
Trust10.00Not confirmed

Choosing between them

Pick IBM watsonx if offer matter most.

Pick Zhipu AI (Z.ai) if cost, input price from, and output price from matter most.

The numbers side by side

IBM watsonx vs Zhipu AI (Z.ai)
FactIBM watsonxZhipu AI (Z.ai)
Input price from$0.0636 to $3.18$0.030 to $2.20
Output price from$0.265 to $9.50$0.030 to $8.90

Licences and countries

IBM watsonx vs Zhipu AI (Z.ai)
CountryIBM watsonxZhipu AI (Z.ai)
HeadquartersNot confirmedSingapore

Every fact side by side

IBM watsonx vs Zhipu AI (Z.ai)
FactIBM watsonxZhipu AI (Z.ai)
Legal entityNot confirmedJINGSHENG HENGXING TECHNOLOGY PTE.LTD
HeadquartersNot confirmedSingapore
Founded1911Not confirmed
Support channelsChat, Help centre, CommunityEmail, Help centre, Community

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