New API vs Vheer
Side-by-side comparison · Updated October 2026
| Description | New API is a self-hosted AI gateway and model-management project maintained in the QuantumNous repository. It brings provider channels, access tokens, model restrictions, usage statistics and cost accounting into one interface. Teams supply their own authorized model-provider access and operate the gateway in their chosen environment. The gateway supports several API formats, including OpenAI-compatible requests, Claude Messages and Google Gemini. Compatibility has boundaries: the README marks Gemini-to-OpenAI conversion as text-only without function calling, and OpenAI-compatible to Responses conversion as in development. Test the exact endpoints, streaming behavior and tool calls your application uses before switching traffic. Routing features include weighted channel selection, automatic retry after failures and user-level model rate limits. The dashboard supports request-based, usage-based and cache-hit cost accounting, with token grouping and model-access controls. These controls can help organize usage, but retries and a common API format do not guarantee uninterrupted service or identical behavior across providers. The current repository license is AGPLv3. Docker Compose is the recommended quick-start path in the README, which also documents Docker commands with SQLite or MySQL. Running the software still involves infrastructure, operations and upstream model charges. Review the current license, secure your deployment and validate accounting against provider bills. Compare LiteLLM if you also want a Python SDK or a documented gateway for MCP servers and agents. | Vheer is a browser-based collection of AI tools for creating images, transforming a reference image and adding motion to a still. Its terms identify Sparklightforce as the operator. It can be useful when you want to explore an idea without installing a desktop application: choose the tool for the intended output, provide a prompt or reference, and review the result before using it in a design or video. Image-to-image and image-to-video solve different jobs. Image-to-image produces a new still based on supplied visual material, which can help explore a style or a different treatment of a composition. Image-to-video adds generated movement, making it a starting point for a short motion study. Neither workflow guarantees that a face, product label or fine detail stays unchanged. Keep a copy of the original, describe the change precisely and compare the output with the source at its intended viewing size. Vheer's current pricing page displays a Free plan with 50 credits per month, personal use and no watermark. Its homepage also uses broader language about unlimited free generation and no signup. Because those statements differ, plan around the specific credit allowance and check the selected tool's account requirements. The reviewed public pricing does not establish one universal per-clip credit cost, duration or export resolution. A 50-credit balance is not a promise of 50 videos. The monthly paid options shown are Premium at $9.99 for 1,000 credits, Business at $19.99 for 2,000 and Ultra at $49.99 for 5,000. Paid cards advertise commercial use and no ads. Match the plan to the tools and volume you actually need, then check the live generation cost before spending credits. This review covers the public interface, pricing and terms; it does not rank generated-output quality or speed. Output permissions differ by tool. The terms permit personal and commercial use of AI Video Generator and Image-to-Image outputs regardless of subscription, while the Quality text-to-image route has separate restrictions. The Free pricing card's general personal-use wording therefore does not explain every route. Check the named tool and applicable terms before a commercial handoff, and use source material you have permission to process. Vheer's terms say users retain ownership of their content and that uploads and generated files are deleted every six hours. They also say customer content is not used to train AI models, while allowing service processing by trusted providers. Keep local copies of work you need later and assess the policy before submitting confidential material. Compare Pika or Runway when short video generation is the main task and you need a clearer view of model, credit and export choices. |
| Category | Developer Tools | Graphics Design |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Use Cases |
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| Tags | AI gatewayLLM routingmodel managementrate limitingusage accounting | image generationimage to imageimage to videoAI image editingbrowser AI tools |
| Features | ||
| Self-hosted AI gateway and model management | ||
| Provider channels, token groups and model restrictions | ||
| OpenAI-compatible, Claude Messages and Gemini format support | ||
| Documented limits on protocol conversion | ||
| Weighted channel selection and failure retries | ||
| User-level model rate limiting | ||
| Request, usage and cache-hit cost accounting | ||
| Docker Compose deployment documentation | ||
| Browser-based text-to-image generation | ||
| Image-to-image transformations from a reference | ||
| Image-to-video generation | ||
| Free plan lists 50 monthly credits | ||
| Paid plans with 1,000, 2,000 or 5,000 monthly credits | ||
| Tool-specific commercial output terms | ||
| View New API | View Vheer | |
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