Sold by: Multiverse Computing
Deployed on AWS
CompactifAI API empowers organizations with ultra-efficient and scalable AI models that slash compute and energy costs, accelerate deployment, and fuel innovation, all without compromising performance or reliability!
Overview
CompactifAI API delivers a new class of compressed, ultra-efficient AI models engineered for performance, sustainability, and adaptability. These dramatically reduce compute and energy costs while maintaining enterprise-grade accuracy and speed. CompactifAI adapts seamlessly to diverse environments, ensuring consistent, high-performance AI. With turnkey software and an intuitive API, it offers cost effective inference enabling enterprises to innovate faster, scale cost-effectively, and unlock competitive edge.
Highlights
- 50% Reduction on Operational Costs: Significantly lowers compute and energy expenses across AI workloads.
- 2x Faster Inference: Delivers faster inference speeds with lower latency and minimal resource consumption.
- High Throughput: Enables higher volume processing to serve more users simultaneously without sacrificing quality.
Details
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Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
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
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
OpenAI GPT OSS 20B Input Tokens | Price per 1 million input tokens | $0.03 |
OpenAI GPT OSS 20B Output Tokens | Price per 1 million output tokens | $0.10 |
OpenAI GPT OSS 120B Input Tokens | Price per 1 million input tokens | $0.05 |
OpenAI GPT OSS 120B Output Tokens | Price per 1 million output tokens | $0.23 |
Whisper Large V3 | Price per 1 minute transcribed (Per-second billing with 1-minute minimum) | $0.00034 |
Hypernova-60B Input Tokens | Price per 1 million input tokens | $0.04 |
Hypernova-60B Output Tokens | Price per 1 million output tokens | $0.14 |
Blackstar-10B Input Tokens | Price per 1 million input tokens | $0.02 |
Blackstar-10B Output Tokens | Price per 1 million output tokens | $0.07 |
GLM 5.1 Output Tokens | Price per 1 million input tokens | $0.95 |
Dimensions summary
The pricing dimensions for CompactifAI are organized around different opensource language models (like Llama, Mistral, and DeepSeek) with their respective Slim versions — compressed variants featuring up to 95% size reduction, enabling up to 2x faster inference speed and up to 50% lower inference costs, with only an average 3% precision drop. Each of them is priced separately for input and output tokens: Input tokens represent the text sent to the model, while output tokens represent the text generated by the model, with pricing calculated per million tokens.
Top-of-mind questions for buyers like you
How am I charged for using these language models?
You are charged based on the number of tokens processed, with separate pricing for input tokens (text you send) and output tokens (text generated). Pricing is calculated per million tokens, and varies depending on which model version you choose (standard or Slim versions).
What is the difference between standard and Slim versions of the models?
Slim versions are optimized variants of the standard models, developed using CompactifAI technology. These versions feature up to 95% size reduction, enabling up to 2x faster inference speed and up to 50% lower inference costs, with only an average 3% precision drop. All in addition to a highly competitive pricing, significantly below the industry average.
How do I choose between different models like Llama 3.3 70B Slim or Mistral Small 3.1 Slim?
Slim models available via the CompactifAI API offer different trade-offs in performance and efficiency, much alike their standard versions. Larger models like Llama 3.3 70B Slim provide higher accuracy and reasoning power, while smaller ones like Mistral Small 3.1 Slim are ideal for cost-effective, high-speed tasks. The advantage of the Slim versions compared to their original counterparts is that, on average, they can deliver up to 2× faster inference and up to 50% cost reduction with minimal accuracy drop.
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Custom pricing options
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Legal
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Use our technical support form (https://wkf.ms/45JDp39 ) to request both technical support or other type of enquiries like billing, etc. Alternatively you can also email us at support@compactif.ai or visit our resources page:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Reduce inference costs and increase inference speed by using Multiverse Computing's CompactifAI Llama 4 Scout Slim. A 50% compression of the widely known Meta Llama 4 Scout model.
Reduce inference costs and increase inference speed by using Multiverse Computing's CompactifAI Mistral Small 3.1 Slim. A 50% compression of the widely known Mistral Small 3.1 model.
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