Milliseconds.ai vs Newport AI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Milliseconds.ai and Newport AI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Milliseconds.ai
CloudRaker
A small decision model served over a REST API that returns typed labels, scores, spans, and JSON fields from text or images in milliseconds.
Key features
- Typed Decision Endpoints: Eight purpose-built routes — yes-no, classify, classify-tree, rate, answer, extract, entities, and verify — each returning structured JSON rather than free text, so application code can branch on the result immediately.
- Sub-Second Latency: A decision returns in about 90 milliseconds, answer calls in 0.3–0.9 seconds, and extraction in 2.5–3.5 seconds at medium detail, making the model usable inside request paths rather than background jobs.
- Calibrated Probabilities: Responses include per-label probabilities and a confidence value, so near-ties surface as uncertainty your application can route to a human instead of acting on silently.
- Schema-Driven Extraction: Send a JSON Schema and get back a filled object — up to five fields per extract call — ready for validation before writing to a record.
- Image Input: Send JPEG, PNG, or WebP images up to 5 MB as bytes, a data URL, or base64, billed as a fixed token count set by the detail level you request, with no image storage retained.
- Answer Spans with Offsets: The answer capability returns the exact text span plus start and end offsets, so an application can highlight where in the source the answer came from.
- SDKs and CLI: Hand-written TypeScript (@cloudraker/milliseconds) and Python (cloudraker-milliseconds) SDKs plus a dm1 CLI, where label names, scale levels, and schemas flow into the result type so a misspelled label is a compile error.
- Free Test Tier: Test keys carry 125 million free input tokens a month with no card required, at 30 requests and 500,000 input tokens per minute, shared across an organization.
Best for
- Support Ticket Routing: Classifying inbound messages into billing, shipping, or technical queues and flagging urgent ones for faster response.
- Invoice and Receipt Processing: Extracting invoice number, vendor, total, and currency from document text or images into validated fields before writing a record.
- Content Moderation and Policy Checks: Verifying whether a return request, listing, or submission satisfies a written policy before it reaches a human reviewer.
- Sentiment and Priority Scoring: Rating customer frustration on a defined scale to sort a support queue by how badly each thread needs attention.
- Entity Recognition in Records: Pulling people, organizations, claim IDs, and dates out of free-text notes for search and record matching.
- Agent Tool Calls: Giving an LLM agent a fast, cheap decision primitive for yes/no and classification steps that do not need a generative model.
Newport AI
NewportAI
Platform and API for creating digital avatars, voice synthesis, and image generation for media and product integration.
Key features
- Digital Avatar Creation: Tools and product workflows to create customizable digital avatars for use in video, streaming, virtual environments, and marketing assets, accessible via web products and API endpoints.
- Voice Generation and Synthesis: Services to produce synthetic speech and voice assets for characters, narration, or dubbing that can be delivered through API integration or product interfaces.
- Image Generation: Image creation capabilities for producing photorealistic or stylized visuals to support concept art, marketing imagery, or in-product visuals via product UI or API calls.
- API Services: Programmable endpoints to embed avatar, voice, and image generation into custom applications, pipelines, or media production workflows for automation and scale.
- Product Suite Integration: A combined offering of ready-to-use products and developer-facing services so teams can use GUI tools or integrate features directly into their technology stack.
- Enterprise and Customization Support: Product and service orientation aimed at enabling customized outputs and integrations for studios, developers, and production teams needing tailored asset pipelines.
- Digital avatar creation and customization
- Synthetic voice generation and voice cloning
- Image generation and image synthesis
- Products for end users
- Developer-facing API services for integration
Best for
- Virtual Talent and Influencers: Create and deploy digital avatars with synthetic voices for social channels, livestreaming, and virtual influencer campaigns.
- Voiceovers and Dubbing: Generate voice tracks for promotional videos, e-learning content, or localized dubbing integrated via API into media production workflows.
- Game and Virtual World Characters: Produce character avatars and voice assets for games and virtual environments to accelerate asset creation and iteration.
- Marketing and Creative Content: Rapidly generate imagery and avatar-led creative assets for ad campaigns, landing pages, and social media posts.
- Prototype and Previsualization: Use generated images and avatars to prototype scenes, storyboards, or product concepts before full production.
- Customer-Facing Digital Assistants: Build synthetic digital humans and voice experiences for customer service, kiosks, or guided product demos.
- Creating virtual characters and digital avatars for games and virtual worlds
- Generating voiceovers and synthetic voices for media and accessibility
- Producing AI-generated images for marketing and content creation
- Embedding avatar and voice capabilities into apps via APIs
- Rapid prototyping of multimodal experiences (voice+visual) for products