Nextbit is the managed inference layer for open-source AI models. Proprietary optimization technology, OpenAI-compatible API, 20+ production-ready models. Pay-per-token or fixed monthly dedicated endpoint.
Nextbit provides the managed inference infrastructure to deploy and serve open-source AI models at scale, performantly, cost-efficiently, and with predictable pricing.
Enterprise-grade security and reliability with GDPR and EU AI Act compliance, full isolation, and per-request observability.
With Nextbit, you can:
Instantly run popular and specialized models including DeepSeek, Qwen, Llama, Mistral, optimized for peak latency, throughput and context length
Start in seconds with serverless pay-per-token access via OpenAI-compatible API. No migration, just change a URL
Move to a dedicated endpoint with fixed monthly pricing, guaranteed latency, and full isolation, no per-token billing, no surprise invoices at scale
Fine-tune any supported model on your own dataset and serve it immediately on a dedicated endpoint
Commit to P95/P99 latency SLAs, not averages that hide tail degradation under load
Deploy within your AWS environment
Nextbit's proprietary optimization technology reduces compute costs by 60-95% on agentic workloads compared to standard API providers. An agent running 10 iterations doesn't pay 10x, it pays once for prefill and a fraction per decode step.
Highlights
Instantly run DeepSeek, Llama, Mistral, Qwen, optimized for peak latency, throughput and context length, with P95/P99 SLAs committed contractually
Serverless pay-per-token for experimentation, or fixed monthly dedicated endpoint for production, including fine-tuned models on your own dataset
Enterprise-grade security and reliability with GDPR and EU AI Act compliance, full isolation, and per-request observability
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Custom AI infrastructure, unlimited models, dedicated infrastructure, P95/P99 SLAs. Pricing is indicative; all purchases via AWS Marketplace private offers tailored to your requirements.
$15,000.00
Serverless Inference
Pay-per-token API access billed per million tokens. Wide open-source model catalog: DeepSeek, Llama, Qwen, Mistral and more, including models deployed within the EU for GDPR and EU AI Act compliance.
$1,000.00
Dedicated Endpont
Fixed, predictable monthly pricing. We deploy the model or models the client requires on dedicated infrastructure. Private offer sized to your specific requirements: models, concurrent users, prompt length, and expected throughput. The option for organizations processing Special Categories of Personal Data under Art. 9 GDPR (health data, biometric data, racial or ethnic origin).
You choose among three ways to run AI inference, each billed differently. Serverless Inference charges per million tokens, so you pay for actual usage across an open-source model catalog. Dedicated Endpoint uses a fixed monthly fee for models deployed on infrastructure reserved for you, sized to your models, users, prompt length, and throughput. Enterprise covers custom AI infrastructure with unlimited models, dedicated resources, and P95/P99 performance targets. All three are sold through AWS Marketplace private offers, with pricing shaped to your specific requirements rather than fixed public rates.
Top-of-mind questions for buyers
For Serverless Inference, what exactly does one million tokens count, and are input and output tokens priced separately?
You pay per million tokens processed through the API. Tokens are pieces of text the model reads and generates. Input tokens (your prompts) and output tokens (the model's responses) are typically priced at different rates, so both parts of each request add to your bill.
How does Serverless Inference billing differ from the fixed Dedicated Endpoint fee?
Serverless Inference meters actual token usage on shared infrastructure, so cost rises and falls with traffic and suits variable workloads. Dedicated Endpoint charges a set monthly fee for single-tenant infrastructure sized to your models, users, and throughput, giving predictable cost for steady production traffic regardless of volume.
With a Dedicated Endpoint, does my monthly cost change if traffic spikes or drops?
No. The Dedicated Endpoint uses a fixed monthly fee tied to the configuration you agree on: models, concurrent users, prompt length, and expected throughput. Cost stays the same whether usage rises or falls, as long as you stay within that sizing. Exceeding it would require resizing your private offer.
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Vendor support
For support with Nextbit Platform AI Cloud, please contact us at info@nextbit256.com or visit nextbit256.com.
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