BerriAI/litellm - GitHub vs Flux AI
Side-by-side comparison · Updated October 2026
| Description | LiteLLM is an AI gateway and Python SDK from Berrie AI Incorporated, published in the BerriAI GitHub repository. The SDK provides a common interface for model calls inside Python applications. The proxy gateway centralizes access for a team, with virtual keys, model routing, spend tracking, budgets and an administration interface. The official documentation lists support for more than 100 model providers. Supported endpoints and features vary by integration, so verify your model’s streaming, tool-calling, image, audio or embedding requirements. The router supports retries, fallbacks and load balancing; observability integrations can send request data to tools such as Langfuse, LangSmith and OpenTelemetry. LiteLLM also provides an MCP gateway. It can connect upstream servers using Streamable HTTP, SSE or stdio, expose tools through a fixed gateway endpoint, and scope access by key, team or organization. This requires configuring the upstream servers and authentication; the gateway does not automatically grant access to third-party tools. Agent-to-agent integrations are documented separately. The open-source offering has no software license fee for self-hosting. Code outside the enterprise directory is MIT-licensed, while enterprise code has separate terms. Enterprise pricing is quoted by annual gateway request capacity, deployment architecture and support needs, rather than a per-token license charge. Model-provider charges and infrastructure costs still apply. Enterprise adds controls and support such as SSO, SCIM, audit logs and service-level agreements. Compare New API for another self-hosted gateway with provider-channel management and usage accounting. Evaluate a representative workload, inspect request logging and secret handling, test budget and failure behavior, and decide whether SDK integration or a shared gateway best fits your application. | 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. |
| Category | Developer Tools | Image Generation |
| 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 gatewayPython SDKLLM routingMCP gatewayvirtual keys | image generationvideo generationmulti-model workspaceAPIcredits |
| Features | ||
| Python SDK for direct application integration | ||
| Shared AI proxy gateway and administration UI | ||
| More than 100 documented model-provider integrations | ||
| Virtual keys, users, teams, budgets and rate limits | ||
| Spend tracking and observability integrations | ||
| Router retries, fallbacks and load balancing | ||
| MCP gateway for Streamable HTTP, SSE and stdio upstreams | ||
| Key, team and organization MCP permissions | ||
| Separate enterprise identity, audit and support 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 | ||
| View BerriAI/litellm - GitHub | View Flux AI | |
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