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TensorX vs Z.AI: Token Pricing, Speed & Intelligence

Full comparison of TensorX and Z.AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

TensorX

EU inference — Dublin, Helsinki, Paris — GLM-5.3, Kimi K3, zero data retention

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. USD pricing. Suited for EU workloads that need geographic diversity within Europe and a zero-retention policy.

EU inferencePrivacy-sensitive workloadsGeographic diversity
Open-weight hostHosts open weights

Z.AI

GLM-5.3 frontier model with 1M context — available on Amazon Bedrock

Z.AI (formerly Zhipu AI) develops the GLM series of large language models. GLM-5.3 is the latest generation, supporting a 1M token context window and designed for enterprise-grade chat, coding, and long-document tasks. GLM-5.3 is now available on Amazon Bedrock, expanding its reach to AWS enterprise customers.

ChatCodingLong-document analysisEnterprise AIAWS-native workloads
Proprietary models

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

TensorX

EU nodes in Dublin, Helsinki, and Paris — geographic diversity
Zero data retention policy
Prompt caching on GLM-5.3 (cached $0.44/1M vs $1.75/1M standard)
USD pricing — no currency conversion for international customers
Small model catalog
Prepaid credits only — no post-pay billing
Newer provider — limited third-party benchmark transparency

Z.AI

1M token context window on GLM-5.3
Available on Amazon Bedrock for AWS enterprise customers
Strong Chinese and English bilingual performance
Enterprise-grade reliability
Competitive pricing for long-context workloads
Smaller international developer community
Fewer third-party integrations than OpenAI

Key differentiators

TensorX

EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.

Z.AI

GLM-5.3 offers a 1M token context window at competitive pricing, now available on Amazon Bedrock — making it accessible to AWS enterprise customers without additional API integrations.

Frequently asked questions

TensorX FAQs

What is TensorX?

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. See tensorx.ai/pricing for current rates.

Does TensorX retain my data?

No. TensorX operates a zero data retention policy.

Z.AI FAQs

What is GLM-5.3?

GLM-5.3 is the latest model in Z.AI's GLM series, supporting a 1M token context window. It is designed for long-document analysis, coding, and enterprise chat applications in both Chinese and English.

Is GLM-5.3 available on Amazon Bedrock?

Yes. GLM-5.3 was added to the Amazon Bedrock catalog in 2026, making it accessible to AWS enterprise customers via the standard Bedrock API without a separate Z.AI account.

How does Z.AI compare to other Chinese LLM providers?

Z.AI's GLM models compete with Alibaba's Qwen and Moonshot's Kimi series. GLM-5.3 stands out for its 1M context window and Amazon Bedrock availability, making it the most accessible Chinese LLM for AWS enterprise customers.

Provider resources

TensorX — EU inference — Dublin, Helsinki, Paris — GLM-5.3, Kimi K3, zero data retention

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. USD pricing. Suited for EU workloads that need geographic diversity within Europe and a zero-retention policy.

EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.

Z.AI — GLM-5.3 frontier model with 1M context — available on Amazon Bedrock

Z.AI (formerly Zhipu AI) develops the GLM series of large language models. GLM-5.3 is the latest generation, supporting a 1M token context window and designed for enterprise-grade chat, coding, and long-document tasks. GLM-5.3 is now available on Amazon Bedrock, expanding its reach to AWS enterprise customers.

GLM-5.3 offers a 1M token context window at competitive pricing, now available on Amazon Bedrock — making it accessible to AWS enterprise customers without additional API integrations.

Key strengths compared

TensorX

  • EU nodes in Dublin, Helsinki, and Paris — geographic diversity
  • Zero data retention policy
  • Prompt caching on GLM-5.3 (cached $0.44/1M vs $1.75/1M standard)
  • Small model catalog
  • Prepaid credits only — no post-pay billing

Z.AI

  • 1M token context window on GLM-5.3
  • Available on Amazon Bedrock for AWS enterprise customers
  • Strong Chinese and English bilingual performance
  • Smaller international developer community
  • Fewer third-party integrations than OpenAI

Key weaknesses compared

TensorX

  • Small model catalog
  • Prepaid credits only — no post-pay billing
  • Newer provider — limited third-party benchmark transparency

Z.AI

  • Smaller international developer community
  • Fewer third-party integrations than OpenAI

Provider category context

TensorX is a inference api, founded in 2024. Z.AI is a frontier lab, founded in 2019. TensorX as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Z.AI as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.

How to choose between them

Choose TensorX if you need EU inference. Choose Z.AI if you need 1m token context window on glm-5.3. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.