specification: API Commons Plans specificationVersion: '0.1' schema: https://raw.githubusercontent.com/api-evangelist/interface-research/main/schema/api-commons.yml#/$defs/Plans provider: Lamini providerId: lamini created: '2026-06-20' modified: '2026-06-20' reconciled: true tags: - AI - LLM - Fine-Tuning - Memory Tuning - Inference - Plans description: >- Lamini offers a self-service, pay-as-you-go tier (Lamini On-Demand) for running inference and tuning jobs on its hosted GPU cluster, plus a custom Enterprise tier for dedicated, reserved, or on-premises deployments. On-Demand bills a flat per-token inference rate and a per-tuning-step rate; new accounts receive free credits to start. Enterprise pricing is negotiated with sales. notes: >- Published On-Demand rates were a flat $0.50 per 1M inference tokens (covering input, output, and JSON/typed output) and approximately $1 per tuning step on a single GPU, with linear multipliers for multi-GPU burst tuning, plus $300 in free credit for new users. Verify current rates on the Lamini pricing page during reconciliation as on-demand rates and credits change. sources: - https://www.lamini.ai/pricing - https://www.lamini.ai/blog/lamini-on-demand-300-in-free-credit - https://docs.lamini.ai plans: - id: lamini-on-demand name: Lamini On-Demand type: usage description: >- Self-service, pay-as-you-go inference and tuning on Lamini's hosted GPU cluster, metered per token and per tuning step, with free starting credit. entries: - label: Inference Tokens name: inference_tokens type: usage metric: tokens limit: -1 timeFrame: month geo: global unit: 1000000 price: $0.50 per 1M tokens (input, output, and JSON output) userMultiplied: false - label: Tuning Step name: tuning_step type: usage metric: steps limit: -1 timeFrame: month geo: global unit: 1 price: ~$1 per tuning step on 1 GPU (linear multiplier for burst/multi-GPU) userMultiplied: false - label: Free Credit name: free_credit type: credit metric: usd limit: 300 timeFrame: lifetime geo: global unit: 1 price: $300 in free credit for new accounts userMultiplied: false elements: - name: Inference Completions - name: Memory Tuning - name: Fine-Tuning - name: Classify - name: Embeddings - id: lamini-enterprise name: Enterprise type: enterprise description: >- Dedicated, reserved-capacity, VPC, or on-premises deployments with volume commitments, security and compliance controls, and dedicated support. Contact Lamini sales. entries: - label: Enterprise Agreement name: enterprise type: flat metric: contract limit: -1 timeFrame: year geo: global unit: 1 price: contact sales userMultiplied: false elements: - name: Reserved / Dedicated GPU Capacity - name: On-Premises Deployment - name: Volume Pricing - name: Dedicated Support maintainers: - FN: Kin Lane email: kin@apievangelist.com