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Nebius vs Relace
Nebius hosts the general model; Relace supplies fast apply, search and compaction models for coding agents. They fit together.
By The Subconscious Team · Updated
Nebius vs Relace: key differences
Relace builds tools for coding agents rather than general inference. Its relace-apply-3 model merges lazy edit snippets at about 10,000 tokens per second with 128K tokens of input and output, its agentic search explores large codebases in parallel, and a compaction model runs at 50,000 tokens per second. Nebius serves broad open models such as DeepSeek, Qwen, GLM, Kimi and GPT-OSS on Token Factory, plus dedicated endpoints and raw GPUs. Relace has no general-purpose model serving, so it cannot replace Nebius, and Nebius offers nothing tuned for code merging.
Deployment control is one place they overlap. Enterprises that keep code in-house can self-host Relace with guided onboarding, and Nebius offers EU or US placement for dedicated endpoints, so a European team could keep both halves of a coding agent under tight data controls. One limit to plan for: Relace returns an error past 128K tokens, so very large files need a fallback, which could be a long-context model hosted on Nebius. Use Nebius for the model that reasons. Use Relace for the utility steps that would otherwise burn frontier-model tokens.
What Nebius and Relace 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 V3, GPT-OSS
Full Nebius profileRelace
Relace trains small, fast models that act as tools for coding agents. Its best-known product is Instant Apply: a frontier model writes a lazy edit snippet, and relace-apply-3 merges it into the original file at about 10,000 tokens per second with 128K tokens of input and output. Relace says this runs over 3x faster and cheaper than having the big model rewrite the file. It exposes both a REST endpoint and an OpenAI-compatible one, and the model is also listed on OpenRouter.
Example models: relace-apply-3, Relace agentic search
Full Relace profileShould you choose Nebius or Relace?
Nebius
Choose Nebius for
- Serving the reasoning model behind a coding agent
- Dedicated endpoints for fine-tuned code models with an SLA
- EU placement for regulated engineering teams
Relace
Choose Relace for
- Instant apply of AI edits to user codebases
- Fast parallel search across large repos for PR review
- Self-hosted code tooling for companies that keep code in-house
Nebius vs Relace at a glance
| Attribute | Nebius | Relace |
|---|---|---|
| Model access | Open weights, 60+ models | Specialist models |
| Flagship models | DeepSeek, Qwen, GLM, Kimi, GPT-OSS | relace-apply-3, agentic search |
| Speed | Among top hosts on throughput | ~10,000 tok/s apply |
| Price | From $0.06 per 1M input | 3x+ cheaper than full rewrites |
| Customization | Serve uploaded fine-tunes | Unknown |
| Deployment | Token Factory, dedicated, raw GPUs | Hosted API or self-hosted |
| Long context | Varies by model | 128K max |
Frequently asked questions
What is the difference between Nebius and Relace?
Nebius hosts the general model; Relace supplies fast apply, search and compaction models for coding agents. They fit together.
When should I choose Nebius over Relace?
Serving the reasoning model behind a coding agent; Dedicated endpoints for fine-tuned code models with an SLA; EU placement for regulated engineering teams.
When should I choose Relace over Nebius?
Instant apply of AI edits to user codebases; Fast parallel search across large repos for PR review; Self-hosted code tooling for companies that keep code in-house.
Is Nebius or Relace cheaper?
Nebius: From $0.06 per 1M input. Relace: 3x+ cheaper than full rewrites. The cheaper choice depends on the model and workload.
Which has more context, Nebius or Relace?
Nebius: Varies by model. Relace: 128K max.
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.