Fireworks AI vs Nebius Group
Both run on DeepSeek, GLM, Kimi, Llama, Mistral.
Relationship
Fireworks Inference and Nebius Token Factory do comparable work on model hosting; both also serve buyers who need to 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 5 capabilities — Shares model hosting, model inference and model training.
Ludbee capability tags · from the product recordsShared product type — Both ship model API.
Ludbee product recordsLarger scale — Nebius Group: $61.6B market cap, against Fireworks AI's $17.5B valuation.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 3
Not verified for Nebius Group · 2
Recorded for Fireworks AI. Nebius Group’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Fireworks AI · 2
Recorded for Nebius Group. Fireworks AI’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Fireworks AI
Model API
Drop-in API endpoint that routes each request across models to trade cost against quality.
Nebius Group
Model API
Managed inference endpoint serving open-weight models on Nebius hardware, billed per token.
No counterpart
Fireworks AI 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
Serving for frontier open models and for a customer's own post-trained versions of them, on an inference engine tuned at each layer.
Real-time and batch speech-to-text on Fireworks, aimed at voice workflows that need low-latency transcription at scale.
Training and retraining of custom models on Fireworks, offered across several training surfaces and served on the same platform.
Nebius Group sells these in a stack layer with no product recorded for Fireworks AI yet — nothing on the other side to compare them against.
Developer 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.
Infrastructure 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.
Rented GPU clusters with storage and networking for training and serving models, billed by the GPU-hour.
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.