actaserve

Simple ways to
start building.

Use the model API at published rates. Reserve dedicated compute with a quote shaped around your workload.

Model API

Usage-based pricing

Connect through OpenAI- and Anthropic-compatible interfaces. The active model catalogue lists current rates and billing units.

  • Choose from the active model catalogue
  • Published pricing for each model
  • $5 in account credit after email verification

Model capabilities and pricing apply. API access does not reserve dedicated hardware or guarantee data residency.

Dedicated compute

Custom quote

Reservations open

Actaserve will own and operate the hardware. Choose root/bare-metal access or a managed API endpoint.

  • Hardware procurement, power and cooling
  • Model bring-up and ongoing operations
  • Capacity, location and access scoped per project

Dedicated capacity is reserved per contract, with the delivery date set in your quote. It is not ready-to-use inventory. Deployment terms.

Find your model. See your rate.

Published prices in USD. Token prices below are per one million tokens; other models use their listed billing unit. Check the model's supported options before sending a request.

544 models

Active public model prices in US dollars
ModelTypeInput / 1M tokensOutput / 1M tokensOther billing unit
Inception: Mercury 2inception/mercury-2 Language $0.25$0.75Token based
Inception: Mercury 2.5inception/mercury-2.5 Language $0.04$0.15Token based
inclusionAI: Ling 3.0 Flashinclusionai/ling-3.0-flash Language $0.021$0.063Token based
inclusionAI: Ling 3.0 Flash Fininclusionai/ling-3.0-flash-fin Language $0.042$0.1232Token based
inclusionAI: Ling 3.0 Flash Santeinclusionai/ling-3.0-flash-sante Language $0.042$0.1232Token based
inclusionAI: Ling 3.0 Flash VLinclusionai/ling-3.0-flash-vl Language $0.021$0.0616Token based
inclusionAI: Ling 3.1 Flashinclusionai/ling-3.1-flash Language $0.0$0.0Token based
Inference.net: Schematron V2 Smallinference-net/schematron-v2-small Language $0.05$0.23Token based
Inference.net: Schematron V2 Turboinference-net/schematron-v2-turbo Language $0.03$0.15Token based
LiquidAI: LFM2.5-2.6B (free)liquid/lfm-2.5-2.6b:free Language $0.0$0.0Token based
Llama 3.1 8Bmeta/llama-3.1-8b Language $0.02$0.03Token based
Magnum v4 72Banthracite-org/magnum-v4-72b Language $2.5$5.0Token based
Mancer: Weaver (alpha)mancer/weaver Language $0.4$0.75Token based
Meituan: LongCat 2.0meituan/longcat-2.0 Language $0.3$1.2Token based
Meta: Llama 3.1 70B Instructmeta-llama/llama-3.1-70b-instruct Language $0.4$0.4Token based
Meta: Llama 3.1 8B Instructmeta-llama/llama-3.1-8b-instruct Language $0.05$0.08Token based
Meta: Llama 3.2 1B Instructmeta-llama/llama-3.2-1b-instruct Language $0.027$0.201Token based
Meta: Llama 3.2 3B Instructmeta-llama/llama-3.2-3b-instruct Language $0.05$0.33Token based
Meta: Llama 3.3 70B Instructmeta-llama/llama-3.3-70b-instruct Language $0.1$0.32Token based
Meta: Llama 4 Maverickmeta-llama/llama-4-maverick Language $0.1875$0.6525Token based

Reported cached input tokens are billed at 10% of the published input rate. Model availability can change. Read the quickstart or open the catalog API (JSON).

Bring your own model.

A dedicated-compute option, custom quoted

Deploy private weights on Actaserve-owned infrastructure, subject to model, licence and runtime qualification. Bring your checkpoint and serving requirements so we can scope model bring-up.

Reserve capacity

Ready for your first call?

Explore the docs