Nebius AI vs Xiaomi MiMo: Token Pricing, Speed & Intelligence
Full comparison of Nebius AI and Xiaomi MiMo — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Nebius AI
HGX B300, B200, H200, H100 — European AI cloud with GDPR-native data sovereignty
Nebius AI is a European cloud provider offering GPU compute and LLM inference with GDPR-native data sovereignty. GPU catalog includes HGX B300, B200, H200, H100, RTX PRO 6000, and L40S — with preemptible rates significantly lower than on-demand. The Token Factory product enables high-throughput batch inference. Nebius also offers managed Kubernetes, PostgreSQL, MLflow, and object storage. Check nebius.com for current rates.
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.
Key metric comparison
—
—
—
—
—
—
—
—
—
—
—
—
Live token pricing
Strengths and weaknesses
Nebius AI
Xiaomi MiMo
Key differentiators
European-native GPU cloud with competitive next-gen pricing (B300, B200, H200) and preemptible rates — plus Token Factory for batch inference and GDPR-native data sovereignty.
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.
Frequently asked questions
Nebius AI FAQs
What GPU hardware does Nebius AI offer?
Nebius AI offers HGX B300, B200, H200, H100, RTX PRO 6000, and L40S — with preemptible rates significantly lower than on-demand. Check nebius.com for current rates.
What is Nebius Token Factory?
Token Factory is Nebius AI's high-throughput batch inference product. It processes large volumes of inference requests at reduced per-token cost compared to real-time inference, making it ideal for batch processing workloads.
Is Nebius AI GDPR-compliant?
Yes. Nebius AI operates data centres in Europe (Amsterdam and other EU locations), making it a strong choice for European businesses with GDPR data residency requirements.
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.
Provider resources
Nebius AI — HGX B300, B200, H200, H100 — European AI cloud with GDPR-native data sovereignty
Nebius AI is a European cloud provider offering GPU compute and LLM inference with GDPR-native data sovereignty. GPU catalog includes HGX B300, B200, H200, H100, RTX PRO 6000, and L40S — with preemptible rates significantly lower than on-demand. The Token Factory product enables high-throughput batch inference. Nebius also offers managed Kubernetes, PostgreSQL, MLflow, and object storage. Check nebius.com for current rates.
European-native GPU cloud with competitive next-gen pricing (B300, B200, H200) and preemptible rates — plus Token Factory for batch inference and GDPR-native data sovereignty.
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.
Key strengths compared
Nebius AI
- HGX B300, B200, H200, H100 — competitive EU GPU pricing
- Preemptible rates significantly lower than on-demand
- RTX PRO 6000 and L40S for budget GPU workloads
- Smaller ecosystem than US-based providers
- Limited model selection vs. Together AI
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
Key weaknesses compared
Nebius AI
- Smaller ecosystem than US-based providers
- Limited model selection vs. Together AI
- Less established brand recognition outside Europe
Xiaomi MiMo
- Smaller ecosystem than OpenAI or Anthropic
- Limited English-language documentation
- Newer platform — less battle-tested at scale
Provider category context
Nebius AI is a inference api, founded in 2023. Xiaomi MiMo is a frontier lab, founded in 2024 (as LLM service). Nebius AI as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Xiaomi MiMo as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.
How to choose between them
Choose Nebius AI if you need hgx b300, b200, h200, h100 — competitive eu gpu pricing. Choose Xiaomi MiMo if you need mimo-v2.5-pro: 1m context window at competitive pricing. 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.