Flux AI vs New API
Side-by-side comparison · Updated October 2026
| Description | Flux1.ai is an independent image and video generation service with a multi-model web workspace and credit-based plans. It offers FLUX models developed by Black Forest Labs alongside other models, but explicitly disclaims affiliation with BFL. Paid API access requires approval and a completed credit or subscription purchase. Its dedicated Image to Image page accepts a reference upload or image URL, a text prompt, reference-strength control, aspect-ratio choices and an optional seed. The upload field lists PNG, JPG, JPEG and WebP up to 4.5 MB, and the displayed Run button shows 6 credits. That route explicitly offers new users 10 free credits after login; it does not describe a recurring free allowance. Review the current displayed charge before running a job. This is a reference-editing route, distinct from text-to-image and image-to-video. | 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. |
| Category | Image Generation | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Freemium | Open Source |
| Starting Price | Free | N/A |
| Plans |
| — |
| Use Cases |
|
|
| Tags | image generationvideo generationmulti-model workspaceAPIcredits | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Web workspace for image and video generation | ||
| Access to 40+ image and video models on paid plans | ||
| Monthly subscription credits and one-time credit purchases | ||
| API with administrator approval and paid credit requirement | ||
| Private generation listed on paid plans | ||
| Commercial license listed on paid plans | ||
| Watermark-free Fast Mode listed on paid plans | ||
| Usage records with model-specific credit debits | ||
| Reference-image workflows on supported models | ||
| Subscription credits spent before one-time credits | ||
| 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 | ||
| View Flux AI | View New API | |
Modify This Comparison
Also Compare
Explore more head-to-head comparisons with Flux AI and New API.