Nebius vs General Compute

Nebius is a European GPU cloud with 60+ managed open models. General Compute runs a short model list with decode on ASICs instead of GPUs.

By The Subconscious Team · Updated October 27, 2026

Nebius vs General Compute: key differences

Nebius Token Factory serves 60+ open models including DeepSeek V4 Pro, Kimi K3 and MiniMax M3 from $0.06 per million input tokens on NVIDIA GPUs, with dedicated endpoints on a 99.9% SLA, EU or US placement, uploaded fine-tunes and raw GPUs on one account. General Compute serves four models, MiniMax M2.7, DeepSeek V3.2, DeepSeek V3.1 and GPT-OSS 120B, from $0.21 in. It handles prefill on GPUs and decode on ASICs from Cerebras, SambaNova, Positron AI and d-Matrix, and reports over 1,000 tokens per second on GPT-OSS 120B in its own benchmark.

Nebius is the pick for EU data residency, a wide catalog, newer models and a path from tokens into training on raw GPUs. General Compute fits workloads where decode speed matters more than model choice. It runs in us-west-2 only, and most of its dedicated capacity goes live in Q1 2027.

What Nebius and General Compute do

Nebius

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 V4 Pro, Kimi K3, MiniMax M3

Full Nebius profile

General Compute

General Compute is a San Francisco inference cloud built on alternative chips. It splits each request across hardware, with NVIDIA GPUs handling prefill and ASICs from Cerebras, SambaNova, Positron AI and d-Matrix handling decode. In its own open benchmark on GPT-OSS 120B it measured 1,025 to 1,234 output tokens per second against 100 to 121 on an unnamed GPU cloud, and up to 16.2x faster end to end. Founders Finn Puklowski and Jason Goodison raised a $15M seed led by FUSE, an up to $400M debt facility from Upper90 and, on October 27, 2026, a $100M Series A co-led by Blackbird and Abstract.

Example models: MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B

Full General Compute profile

Should you choose Nebius or General Compute?

Nebius

Choose Nebius for

EU data residency
A wide open-model catalog
Raw GPUs for training

General Compute

Choose General Compute for

Fast decode on ASICs
Agent loops on a short model list
Tokens-per-second SLAs

Nebius vs General Compute at a glance

Attribute	Nebius	General Compute
Model access	Open weights, 60+ models	Open weights
Flagship models	DeepSeek V4 Pro, Kimi K3, MiniMax M3, GLM	MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B
Speed	Among top hosts on throughput	1,000+ tok/s on GPT-OSS 120B (vendor)
Price	From $0.06 per 1M input	$0.21–$0.28 in, $0.38–$1.20 out per 1M
Customization	Serve uploaded fine-tunes	Custom LoRA and fine-tuned checkpoints
Deployment	Token Factory, dedicated, raw GPUs	Serverless API, dedicated racks, bare metal
Long context	Varies by model	192K (MiniMax M2.7)

Frequently asked questions

What is the difference between Nebius and General Compute?

Nebius is a European GPU cloud with 60+ managed open models. General Compute runs a short model list with decode on ASICs instead of GPUs.

When should I choose Nebius over General Compute?

EU data residency; A wide open-model catalog; Raw GPUs for training.

When should I choose General Compute over Nebius?

Fast decode on ASICs; Agent loops on a short model list; Tokens-per-second SLAs.

Is Nebius or General Compute cheaper?

Nebius: From $0.06 per 1M input. General Compute: $0.21–$0.28 in, $0.38–$1.20 out per 1M. The cheaper choice depends on the model and workload.

Which has more context, Nebius or General Compute?

Nebius: Varies by model. General Compute: 192K (MiniMax M2.7).

Related comparisons

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.

Subconscious vs Nebius Subconscious vs General Compute