Hugging Face Inference Providers vs Nebius
A multi-provider router against a European AI cloud. Hugging Face spreads traffic across 17 hosts; Nebius offers Token Factory, EU residency and raw GPUs.
By The Subconscious Team · Updated
Hugging Face Inference Providers vs Nebius: key differences
Nebius is a full cloud. Its Token Factory serves 60+ open models including DeepSeek, Qwen, GLM, Kimi and GPT-OSS behind an OpenAI-compatible API from $0.06 per million input tokens, and the same account rents NVIDIA GPUs from preemptible H100s at $2.15 an hour up to GB300 NVL72 racks. Dedicated endpoints carry a 99.9% SLA with optional EU or US placement, and Artificial Analysis has measured Nebius among the top hosts on throughput. Hugging Face Inference Providers owns no chat inference hardware. It routes 132 chat models across 17 partner hosts at their rates with no markup, and Nebius is not in the current partner list.
The router wins on reach and flexibility. A developer can append :cheapest or pin a provider without code changes, read live price and latency per host from /v1/models, and get failover when one host is flagged unavailable. Hugging Face also offers dedicated Inference Endpoints on AWS, GCP or Azure from $0.50 an hour. Nebius wins on control and residency. It serves uploaded fine-tuned checkpoints at the same token pricing, something the router cannot do, and it keeps workloads in-region for European buyers. Its downsides are a $25 minimum first payment and no free trial, where Hugging Face gives free accounts $0.10 of monthly credit.
What Hugging Face Inference Providers and Nebius do
Hugging Face Inference Providers
Inference Providers is a router run by Hugging Face that sits in front of partner inference clouds. The current partner list covers Baseten, Cerebras, Cohere, DeepInfra, fal, Featherless AI, Fireworks, Groq, Novita, Nscale, OVHcloud, Public AI, Replicate, Scaleway, Together, WaveSpeedAI and Z.ai, plus Hugging Face's own HF Inference, which now mostly serves CPU workloads like embeddings and classification. Chat traffic goes through an OpenAI-compatible endpoint at router.huggingface.co/v1, and the Python and JavaScript clients add text-to-image, video, speech and embeddings. The router lists 132 chat models today, from GLM 5.3 and Kimi K3 to gpt-oss-120b on eleven providers.
Example models: GLM 5.3, Kimi K3, gpt-oss-120b
Full Hugging Face Inference Providers profileNebius
Nebius is an Amsterdam-headquartered AI cloud and the strongest European alternative to the US hyperscalers. It sells raw NVIDIA GPU compute, from H100s at $2.15 an hour preemptible up to GB300 NVL72 racks, and it has begun adding Vera Rubin. Hyperscale buyers back it: a Microsoft capacity deal worth about $17.4B in September 2025, then a Meta agreement worth up to about $27B in March 2026.
Example models: DeepSeek V3, GPT-OSS
Full Nebius profileShould you choose Hugging Face Inference Providers or Nebius?
Hugging Face Inference Providers
Choose Hugging Face Inference Providers for
- Testing models across hosts before picking one
- Small experiments on free monthly credits
- Switching providers with a model-id suffix
Nebius
Choose Nebius for
- European workloads that must stay in-region
- Serving uploaded fine-tunes with a 99.9% SLA
- Growing from token APIs into GPU training
Hugging Face Inference Providers vs Nebius at a glance
| Attribute | ||
|---|---|---|
| Model access | Open weights | Open weights, 60+ models |
| Flagship models | GLM 5.3, Kimi K3, DeepSeek V4.1 Flash | DeepSeek, Qwen, GLM, Kimi, GPT-OSS |
| Speed | Routes to fastest provider by default | Among top hosts on throughput |
| Price | Provider rates, no markup | From $0.06 per 1M input |
| Customization | N/A | Serve uploaded fine-tunes |
| Deployment | Serverless router; dedicated Endpoints | Token Factory, dedicated, raw GPUs |
| Long context | Up to 1M, provider-dependent | Varies by model |
Frequently asked questions
What is the difference between Hugging Face Inference Providers and Nebius?
A multi-provider router against a European AI cloud. Hugging Face spreads traffic across 17 hosts; Nebius offers Token Factory, EU residency and raw GPUs.
When should I choose Hugging Face Inference Providers over Nebius?
Testing models across hosts before picking one; Small experiments on free monthly credits; Switching providers with a model-id suffix.
When should I choose Nebius over Hugging Face Inference Providers?
European workloads that must stay in-region; Serving uploaded fine-tunes with a 99.9% SLA; Growing from token APIs into GPU training.
Is Hugging Face Inference Providers or Nebius cheaper?
Hugging Face Inference Providers: Provider rates, no markup. Nebius: From $0.06 per 1M input. The cheaper choice depends on the model and workload.
Which has more context, Hugging Face Inference Providers or Nebius?
Hugging Face Inference Providers: Up to 1M, provider-dependent. Nebius: Varies by model.
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Running long-horizon agents?
If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.