How does Baseten evaluate as an AI infrastructure company in 2026?

As of October 2026 Baseten is one of the strongest independent inference platforms: it raised a $1.5 billion Series F at a $13 billion valuation in June 2026 (its fourth raise in 18 months), says revenue grew 20x and inference volume 40x in a year, and serves Cursor, Notion, Lovable, Harvey, HubSpot, OpenEvidence, Abridge and Decagon. It is best for deploying your own or fine-tuned models on dedicated GPUs with autoscaling; it is less suited to buyers who only want the cheapest per-token open-model API.

How much does Baseten cost?

Dedicated deployments bill per minute per replica: an H100 is $0.10833 per minute (about $6.50 an hour), a B200 $0.16633 (about $9.98 an hour), an A100 $0.06667 and an L4 $0.01414, from Baseten's instance reference on October 9, 2026. Model APIs are per token — DeepSeek V4.1 Flash is $0.30 input, $0.007 cached and $1.20 output per million tokens. The Basic plan is $0 a month, pay as you go; Pro and Enterprise are quoted.

What are the alternatives to Baseten?

Fireworks AI and Together AI for per-token open models with large catalogs (Together dedicated H100 is $5.49 an hour on demand); Modal or RunPod for cheaper per-second serverless GPUs; Cerebras for the fastest tokens per second; AWS SageMaker or Google Vertex AI when everything must stay inside one hyperscaler account.

What are the risks of choosing Baseten?

Higher per-hour GPU prices than raw GPU clouds, billing for the minutes replicas spend deploying and scaling, and dependence on a fast-growing private company whose valuation rose from $5 billion in January 2026 to $13 billion in June. Mitigate by keeping models in the open Truss format and by negotiating Enterprise self-hosting in your own cloud.

Quick Answer

Baseten Evaluation 2026: Pricing, Strengths, Alternatives

Published: October 9, 2026

The short answer

Baseten is a top-tier choice when you need to run your model in production — a fine-tune, a custom pipeline, or a non-LLM model — with autoscaling, compliance and engineers who help optimise it. It is not the cheapest place to call a popular open model per token or to rent bare GPUs. Facts below are from Baseten’s own pages, read October 9, 2026.

Company scorecard

Area	Evidence (October 2026)	Verdict
Funding	$1.5B Series F at $13B (June 2026), led by Altimeter, Conviction and Spark; $300M Series E at $5B (January 23, 2026)	Very well capitalised
Traction	Revenue up 20x and inference volume 40x in a year (company figures)	Among the fastest-growing inference vendors
Customers	Cursor, Notion, Lovable, Harvey, HubSpot, OpenEvidence, Abridge, Decagon	Production AI products, not demos
Product	Dedicated deployments (Truss), Model APIs, training/post-training, multi-node	Full inference lifecycle
Compliance	SOC 2 Type II and HIPAA on every plan; Model APIs never store inputs or outputs	Enterprise-ready
Reliability claim	”Four nines” for Model APIs via active-active multi-cluster autoscaling	Vendor claim; ask for SLA in contract

Pricing

Item	Baseten list price	For comparison
H100 (dedicated)	$0.10833/min ≈ $6.50/h	Together AI dedicated H100 $5.49/h on demand
B200 (dedicated)	$0.16633/min ≈ $9.98/h	Together AI dedicated B200 $8.99/h
A100 80GB	$0.06667/min ≈ $4.00/h	—
L4	$0.01414/min ≈ $0.85/h	—
DeepSeek V4.1 Flash Model API	$0.30 / $0.007 cached / $1.20 per MTok	Fireworks and Together $0.30 / $0.006 / $1.20
Plans	Basic $0/month pay as you go; Pro and Enterprise by quote	—

Baseten bills by the minute per replica, including the minutes a replica spends deploying and scaling up. Aggressive scale-to-zero on a large model can therefore cost more than one warm replica.

Strengths

Your own models, done properly. Truss packaging, baseten model push, environments for staging and production, and instance types from fractional H100s to 8×B200 nodes.
Post-training plus serving in one vendor. Baseten’s stated focus is helping customers post-train specialised models and serve them at production latency.
Enterprise options. Enterprise adds self-hosting in your cloud, use of existing cloud commitments, data-residency control and custom regions.

Weaknesses

Price per GPU-hour is above GPU clouds and about 18% above Together’s on-demand H100.
Model API catalog is narrower than Fireworks or Together — fine for DeepSeek, Kimi K3 and GLM 5.3, thin beyond.
Pro access to scarce GPUs is a paid tier; Basic customers compete for capacity.

When to pick Baseten — and when not

Pick Baseten: customer-facing product, custom or fine-tuned model, need HIPAA/SOC 2 and help tuning latency.
Pick Fireworks or Together: you only call catalog open models per token — see best LLM serving providers for coding assistants.
Pick Modal or RunPod: spiky, low-volume custom models where per-second serverless billing wins — see best inference API vendors for autoscaling and cold starts.
Pick SageMaker or Vertex AI: everything must stay in one hyperscaler account — see Baseten vs SageMaker vs Vertex AI.

Last verified: October 9, 2026. Prices are list USD; company figures are Baseten’s own.