Private, Hybrid & Public LLM Pricing Options

The SMB plan is ideal for smaller teams and proof-of-concept deployments, often using lightweight private or cloud-based models. Corporate plans offer more scale, private or hybrid model deployments, and access to mid-sized models (up to 13B parameters). Enterprise plans are designed for large-scale, secure environments and include full on-premise deployment, multi-agent orchestration, and custom hardware.

Each tier includes core services, deployment support, and access to pre-trained models. However, hardware, fine-tuning, and add-ons like multi-agent orchestration or UI customization are optional and quoted separately. Cloud usage (in hybrid setups) may incur variable API fees unless otherwise negotiated.

No. You can deploy our models on your own infrastructure—either on-prem or in your cloud. Our LLM-in-a-Box hardware is available as a turnkey option, but it's not required if you already have sufficient computing resources.

Yes. We allow flexible scaling. You can move between plans or request a custom solution based on your infrastructure or usage growth. Most clients start with Corporate and scale to Enterprise as internal adoption grows.

Hybrid setups combine a fixed monthly platform fee (based on your tier) with optional usage-based cloud charges, depending on how much public model inference is routed externally. We help you set usage caps and routing rules to control cloud costs while maximizing performance.

We offer case-by-case discounts and special pricing for qualified startups, nonprofits, and research institutions. Contact us at info@llm.co to explore eligibility.

All plans include setup documentation and email support. Corporate includes priority email and periodic check-ins. Enterprise plans come with a dedicated account manager, ongoing strategy sessions, and 24/7 SLA-based support for mission-critical systems.

We support integration with closed-weight or commercial models (like Claude, Gemini, GPT-4) as part of hybrid deployments. Licensing costs for those models are handled separately and transparently, and we can help broker or advise on the best provider based on your use case.