Baseten vs Nebius Group

Baseten — Infrastructure · Private · $13B valuation · 4 of 4 figures sourced  |  Nebius Group — Infrastructure · Public · $61.6B mkt cap · 4 of 4 figures sourced

Both run on DeepSeek, GLM, Kimi, Llama.

Relationship

Baseten Model APIs and Nebius Token Factory do comparable work on model hosting; both also serve buyers who need to build on a hosted model API and serve a model in production; larger scale (public).

Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.

3 of 3 capabilitiesShared product typeLarger scale

3 of 3 capabilities — Shares model hosting, model inference and model training.

Ludbee capability tags · from the product records

Shared product type — Both ship infrastructure service and model API.

Ludbee product records

Larger scale — Nebius Group: $61.6B market cap, against Baseten's $13B valuation.

Ludbee scale figures · valuation, market cap or revenue estimate

Aligned comparison

FieldBasetenNebius Group
Size$13B valuation$61.6B mkt cap different basis
Employees2501,543 Nebius Group has 6.2× more
Founded20192024 5 yrs later
StatusPrivatePublic
CategoryInfrastructureInfrastructure match
Stack layerAPI service, Infrastructure service, Model API, PlatformDeveloper tool, Infrastructure service, Model API
HeadquartersSan Francisco, USAAmsterdam, Netherlands

Capability overlap

Shared · 3

Model hostingModel inferenceModel training

Not verified for Baseten · 2

Evaluation and observabilityGPU cloud

Recorded for Nebius Group. Baseten’s product records say nothing either way — a missing record is not a missing capability.

Baseten has no capability Nebius Group lacks, among the 3 recorded here.

Products, side by side

Algorithmic pairing — assembled from recorded fields, not hand-checked

Baseten

Infrastructure service

Baseten Inference RuntimeInfrastructure service

Named inference runtime (automatic TensorRT/SGLang/vLLM builds, speculative decoding, custom kernel fusion, KV-cache optimisation) that underlies Baseten's Dedicated Inference, Model APIs and Training products.

Model API

Baseten Model APIsModel API

Pre-optimised hosted endpoints for open-source frontier models, called without deploying or managing a deployment first.

Nebius Group

Infrastructure service

Managed SoperatorInfrastructure service

Nebius-managed Kubernetes operator that runs Slurm clusters on GPU infrastructure for fault-tolerant large-scale AI training, with topology-aware scheduling and automatic node health checks and recovery.

Nebius AI CloudInfrastructure service

Rented GPU clusters with storage and networking for training and serving models, billed by the GPU-hour.

Serverless AIInfrastructure service

Nebius AI Cloud's on-demand GPU runtime that runs containerised AI workloads as Jobs and hosts custom models behind HTTP Endpoints without provisioning or managing clusters.

Model API

Nebius Token FactoryModel API

Managed inference endpoint serving open-weight models on Nebius hardware, billed per token.

No counterpart

Baseten sells these in a stack layer with no product recorded for Nebius Group yet — nothing on the other side to compare them against.

API service

Baseten Frontier GatewayAPI service

Production-grade API launch platform for model labs: takes a lab's model from research to a reliable, scalable, white-labelled API in days, distinct from Baseten's Distribution Platform (model marketplace listing).

Platform

BasetenPlatform

Deploys and serves machine-learning models as production endpoints on managed GPU infrastructure.

Baseten TrainingPlatform

Trains and fine-tunes models with reinforcement learning through the Loops SDK, deploying the result onto Baseten's inference stack.

Nebius Group sells these in a stack layer with no product recorded for Baseten yet — nothing on the other side to compare them against.

Developer tool

Managed Service for MLflowDeveloper tool

Fully managed MLflow deployment on Nebius AI Cloud for tracking experiments, metrics and artifacts across the machine-learning lifecycle without maintaining tracking-server infrastructure.