Crusoe Managed Inference vs Nebius AI: Token Pricing, Speed & Intelligence
Full comparison of Crusoe Managed Inference and Nebius AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Crusoe Managed Inference
Managed inference on Crusoe Cloud — DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3
Crusoe Managed Inference is the serverless LLM inference service from Crusoe Cloud, offering a curated catalog of open-weight models including DeepSeek V4 Pro/Flash, Gemma 4 31B, GLM 5.1, gpt-oss-120b, Llama 3.3 70B, and Qwen3 235B A22B. Crusoe Cloud is known for its clean-energy GPU infrastructure. Pricing is published at crusoe.ai/cloud/managed-inference.
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.
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Live token pricing
Strengths and weaknesses
Crusoe Managed Inference
Nebius AI
Key differentiators
Managed inference on Crusoe Cloud's clean-energy GPU infrastructure — competitive pricing on DeepSeek V4, Gemma 4, GLM 5.1, and Qwen3 without managing GPU clusters.
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.
Frequently asked questions
Crusoe Managed Inference FAQs
What is Crusoe Managed Inference?
Crusoe Managed Inference is the serverless LLM API from Crusoe Cloud, offering open-weight models including DeepSeek V4 Pro/Flash, Gemma 4 31B, GLM 5.1, gpt-oss-120b, Llama 3.3 70B, and Qwen3 235B A22B. See crusoe.ai/cloud/managed-inference for current rates.
How much does Crusoe Managed Inference cost?
As of October 2026: DeepSeek V3 0324 $0.50/$1.50, DeepSeek V4 Flash $0.14/$0.28, DeepSeek V4 Pro $1.74/$3.48, Gemma 4 31B $0.14/$0.40, GLM 5.1 $1.20/$4.40, gpt-oss-120b $0.05/$0.20, Llama 3.3 70B $0.25/$0.75, Qwen3 235B A22B 2507 $0.22/$0.80. See crusoe.ai/cloud/managed-inference for current rates.
Is Crusoe Cloud clean energy?
Yes. Crusoe Cloud is known for using stranded and flared gas to power its GPU infrastructure, reducing the carbon footprint of AI compute compared to conventional data centers.
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.
Provider resources
Crusoe Managed Inference — Managed inference on Crusoe Cloud — DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3
Crusoe Managed Inference is the serverless LLM inference service from Crusoe Cloud, offering a curated catalog of open-weight models including DeepSeek V4 Pro/Flash, Gemma 4 31B, GLM 5.1, gpt-oss-120b, Llama 3.3 70B, and Qwen3 235B A22B. Crusoe Cloud is known for its clean-energy GPU infrastructure. Pricing is published at crusoe.ai/cloud/managed-inference.
Managed inference on Crusoe Cloud's clean-energy GPU infrastructure — competitive pricing on DeepSeek V4, Gemma 4, GLM 5.1, and Qwen3 without managing GPU clusters.
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.
Key strengths compared
Crusoe Managed Inference
- Clean-energy GPU infrastructure — stranded and flared gas power
- Curated open-weight model catalog: DeepSeek V4, Gemma 4, GLM 5.1, Llama 3.3, Qwen3
- Competitive pricing on flagship open-weight models
- Smaller model catalog than Together AI or Fireworks
- No proprietary frontier models
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
Key weaknesses compared
Crusoe Managed Inference
- Smaller model catalog than Together AI or Fireworks
- No proprietary frontier models
- Less mature inference platform than dedicated inference providers
Nebius AI
- Smaller ecosystem than US-based providers
- Limited model selection vs. Together AI
- Less established brand recognition outside Europe
Provider category context
Crusoe Managed Inference is a cloud, founded in 2020. Nebius AI is a inference api, founded in 2023. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.
How to choose between them
Choose Crusoe Managed Inference if you need clean-energy gpu infrastructure — stranded and flared gas power. Choose Nebius AI if you need hgx b300, b200, h200, h100 — competitive eu gpu 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.