Pricing

Pay per token. Not per seat.

Mandarum prices against GPU compute delivered — measured in tokens served, inferences completed, or GPU-hours consumed. Transparent tiers, monthly or annual.

Starter

Self-serve teams < 100 employees

$99/ month
  • 1 workspace · 5 seats
  • 2 integrations
  • 1B tokens / month
  • Standard models via NIM (Llama 3.1, Mistral)
  • Community Slack support
Start free 14-day trial

Enterprise

1,000+ employees or regulated

Custom
  • Unlimited tokens · dedicated GPU capacity
  • VPC / on-prem / BYOC
  • NeMo fine-tunes + TensorRT-LLM compilation
  • Forward-deployed engineering
  • HIPAA · FedRAMP · ISO 42001 packs
  • Data residency · BYOK
  • 24×7 named CSM · 99.99% SLA
Talk to sales
Credits

Universal Mandarum Credits.

One credit ≈ 1M tokens served. Complex multi-model pipelines consume 5–50 credits.

Volume / monthPer-credit priceEquivalent
Up to 100k$0.020≈ 100B tokens
100k – 1M$0.015≈ 1T tokens
1M – 10M$0.010≈ 10T tokens
10M+NegotiatedCustom GPU commitment

Credits roll over one month. Overage is metered hourly. Budget caps and Slack alerts included in every plan.

Compare

What's included where.

 StarterGrowthEnterprise
Models & pipelinesLimitedUnlimitedUnlimited
Tokens / month1B20BUnlimited
SSO / SAML / SCIMIncludedIncluded
Policy engineBasicFullFull + custom
Eval harnessSandboxProductionProduction + CI
VPC / on-premIncluded
NeMo fine-tunesAdd-onIncluded
SLA99.5%99.9%99.99%
SupportCommunitySlack · 4hNamed CSM · 24×7
FAQ

Pricing questions.

A "credit" covers approximately 1M tokens served across your models — whether via NIM microservices, Triton-served open-weight models, or hosted APIs.
Yes. Anthropic, OpenAI, Google, Azure OpenAI, AWS Bedrock, NIM microservices, Triton-served open weights, vLLM, and your own fine-tunes — billed per inference at your provider's price.
For Enterprise. We co-define the value metric (booked meetings, closed tickets, migrated modules) and share upside transparently.
60-day paid pilot at 50% of list, converts to annual if you meet your success metric.