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Xiaomi MiMo vs Z.AI: Token Pricing, Speed & Intelligence

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

Xiaomi MiMo

MiMo-V2.5-Pro, MiMo-V2.5, MiMo-V2.5-Pro-UltraSpeed — reasoning-focused models from Xiaomi

Xiaomi MiMo is the LLM inference platform from Xiaomi, offering the MiMo model family: MiMo-V2.5-Pro (flagship, 1M context), MiMo-V2.5 (efficient), and MiMo-V2.5-Pro-UltraSpeed (high-throughput). The MiMo models are reasoning-focused, with strong performance on math and coding benchmarks. Pricing is published at platform.xiaomimimo.com/docs/pricing.

ReasoningMathCodingLong-contextCost-efficiency
Proprietary models

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

Xiaomi MiMo

MiMo-V2.5-Pro: 1M context window at competitive pricing
MiMo-V2.5-Pro-UltraSpeed: high-throughput variant for latency-sensitive workloads
Reasoning-focused architecture — strong on math and coding
Competitive input/output pricing across the model family
Smaller ecosystem than OpenAI or Anthropic
Limited English-language documentation
Newer platform — less battle-tested at scale

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

Xiaomi MiMo

Xiaomi's reasoning-focused MiMo model family with 1M context on the Pro tier and a UltraSpeed variant for high-throughput inference at competitive per-token rates.

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

Xiaomi MiMo FAQs

What is Xiaomi MiMo?

Xiaomi MiMo is Xiaomi's LLM inference platform, offering the MiMo-V2.5 model family. MiMo-V2.5-Pro supports 1M context, MiMo-V2.5 is the efficient tier, and MiMo-V2.5-Pro-UltraSpeed is optimised for high-throughput workloads. See platform.xiaomimimo.com/docs/pricing for current rates.

What context window does MiMo-V2.5-Pro support?

MiMo-V2.5-Pro supports a 1M token context window, enabling full-document and long-context workloads in a single API call.

How much does Xiaomi MiMo cost?

As of October 2026: MiMo-V2.5-Pro $0.435/$0.87 per 1M tokens (input/output), MiMo-V2.5 $0.14/$0.28, MiMo-V2.5-Pro-UltraSpeed $1.305/$2.61. See platform.xiaomimimo.com/docs/pricing for current rates.

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

Xiaomi MiMo — MiMo-V2.5-Pro, MiMo-V2.5, MiMo-V2.5-Pro-UltraSpeed — reasoning-focused models from Xiaomi

Xiaomi MiMo is the LLM inference platform from Xiaomi, offering the MiMo model family: MiMo-V2.5-Pro (flagship, 1M context), MiMo-V2.5 (efficient), and MiMo-V2.5-Pro-UltraSpeed (high-throughput). The MiMo models are reasoning-focused, with strong performance on math and coding benchmarks. Pricing is published at platform.xiaomimimo.com/docs/pricing.

Xiaomi's reasoning-focused MiMo model family with 1M context on the Pro tier and a UltraSpeed variant for high-throughput inference at competitive per-token rates.

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

Xiaomi MiMo

  • MiMo-V2.5-Pro: 1M context window at competitive pricing
  • MiMo-V2.5-Pro-UltraSpeed: high-throughput variant for latency-sensitive workloads
  • Reasoning-focused architecture — strong on math and coding
  • Smaller ecosystem than OpenAI or Anthropic
  • Limited English-language documentation

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

Xiaomi MiMo

  • Smaller ecosystem than OpenAI or Anthropic
  • Limited English-language documentation
  • Newer platform — less battle-tested at scale

Z.AI

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

Provider category context

Xiaomi MiMo is a frontier lab, founded in 2024 (as LLM service). Z.AI is a frontier lab, founded in 2019. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Xiaomi MiMo and Z.AI are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: Xiaomi MiMo leads on mimo-v2.5-pro: 1m context window at competitive pricing, while Z.AI leads on 1m token context window on glm-5.3. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.