ApiFlux
ApiFlux is an AI router with native Anthropic, OpenAI & Gemini APIs — one key for 100+ models, automatic failover, transparent per-token pricing. Claude Code ready.
https://apiflux.ai/?utm_source=aipure
Product Information
Updated:Aug 20, 2026
What is ApiFlux
ApiFlux is an AI gateway/router built to simplify how developers and teams integrate and operate multiple large language models without juggling separate provider accounts or rewriting code. It offers unified access to 100+ models across major ecosystems (including native Anthropic, OpenAI, and Gemini-style APIs) while keeping integration straightforward for existing OpenAI SDK-based apps and popular coding tools. With a single balance and a single endpoint, ApiFlux focuses on making multi-model development and production deployment cheaper, more reliable, and easier to observe.
Key Features of ApiFlux
ApiFlux is a multi-protocol AI router/gateway that lets developers access 100+ frontier models (including Anthropic Claude, OpenAI GPT, and Google Gemini) using a single API key and an OpenAI-compatible interface. It emphasizes fast setup (often just changing the base URL), transparent per-token pricing at roughly 85% of model-maker list rates (about 15% savings), and production reliability via automatic failover across upstream providers. ApiFlux also provides a live dashboard for token usage, latency, cost, and errors, plus team-friendly controls like per-key limits and usage logs to reduce vendor lock-in and simplify billing across tools, agents, and apps.
One key for 100+ models: Use a single ApiFlux API key to call models across major providers (Claude, GPT, Gemini, DeepSeek, and more) without maintaining multiple vendor accounts.
OpenAI-compatible, drop-in integration: Works with OpenAI SDKs/clients and popular coding tools (e.g., Claude Code, Codex CLI, OpenCode) by changing the base URL—no major code rewrite.
Transparent per-token pricing (≈15% off list): Billed in per-token units with clear request-level cost visibility, typically at ~85% of model makers’ list pricing and no subscription requirement.
Automatic failover routing: Routes requests around upstream degradation/outages to healthy providers/paths to reduce downtime and user-visible incidents.
Live usage & observability dashboard: Provides real-time insight into token usage, latency, costs, and errors for each request without extra instrumentation.
Team controls & auditability: Supports shared balances with per-key limits and per-key usage logs so teams can track spend by user/tool and control access.
Use Cases of ApiFlux
AI coding tools and developer workflows: Route Claude Code, Codex CLI, and other coding assistants through ApiFlux to reduce token costs and keep workflows running during provider issues.
Production chatbots and customer support: Deploy customer-facing assistants with higher reliability using failover, while monitoring costs/latency per request in the dashboard.
Agent pipelines and automation: Run multi-step agent systems (summarizers, code reviewers, copilots) on a single router with consistent billing and centralized observability.
Model evaluation and benchmarking: Compare outputs from Claude, GPT, Gemini, and others on the same prompt without juggling multiple provider keys and accounts.
Prototyping and side projects: Quickly test multiple frontier models with small top-ups and no subscription, switching models per request without changing code.
Small-team shared credit management: Use one balance across teammates and tools, enforce per-key limits, and audit usage logs to control spend and accountability.
Pros
Cost savings vs. list pricing (about 15% off) with transparent per-token billing and request-level visibility.
Fast adoption via OpenAI-compatible API (often just a base-URL change) and broad tool compatibility.
Higher resilience through automatic failover and centralized monitoring of model health/latency/errors.
Reduces vendor lock-in by enabling easy model/provider switching per request under one key and one bill.
Cons
Adds an intermediary layer, which may introduce additional dependency and potential routing overhead compared to calling providers directly.
Feature parity and behavior can vary across upstream providers/models, requiring testing when switching models.
Some organizations may have compliance or procurement constraints that prefer direct contracts with model providers.
How to Use ApiFlux
1) Create an ApiFlux account: Go to https://apiflux.ai/ and sign up (or sign in if you already have an account).
2) Get an API key: Open the Keys page (https://apiflux.ai/keys) and create an API key. ApiFlux provides an OpenAI-compatible key that can be used across 100+ models.
3) Add credit / top up your balance: Top up once to fund usage across all supported models (one balance for everything). ApiFlux advertises transparent per-token pricing at ~85% of model makers’ list price and may include sign-up credit/promotions depending on the current offer.
4) Point your existing OpenAI-compatible code or tool to ApiFlux: Keep your current OpenAI SDK/client/tooling and change only the base URL to ApiFlux. Use your ApiFlux API key for authentication. This is designed to be a drop-in replacement so you don’t need a code rewrite.
5) Choose a model per request (Claude/GPT/Gemini/DeepSeek/etc.): Select the model you want to call at request time. ApiFlux supports 100+ frontier models (including Claude, GPT, Gemini, DeepSeek, Kimi, Qwen, and more), letting you swap models without changing your integration.
6) Make your first request through the router: Send a normal OpenAI-style request (chat/completions style) to the ApiFlux base URL using your ApiFlux key, specifying the model you want. ApiFlux routes the request to the appropriate upstream provider.
7) Enable resilience with automatic failover (no extra work required): ApiFlux automatically reroutes requests when an upstream provider degrades or goes down, aiming to keep your app running without user-visible disruption.
8) Monitor usage, cost, latency, and errors in the dashboard: Use the live dashboard to view per-request token usage, latency, cost, and errors—no extra instrumentation needed. This helps you audit spend and performance across models.
9) Use per-key controls for teams: Create separate keys for teammates or services, then use per-key limits and per-key usage logs to track who spent what, on which model, and when.
10) Integrate with AI coding tools (optional): Follow ApiFlux’s step-by-step guides for tools like Claude Code, Codex CLI, and OpenCode. The general setup is the same: use your ApiFlux key and point the tool’s base URL at ApiFlux to reduce token costs and centralize billing.
ApiFlux FAQs
ApiFlux is an AI router (gateway) that provides one unified API key and endpoint to access 100+ frontier models (including Claude, GPT, Gemini, DeepSeek and others) with transparent per-token billing, usage visibility, and automatic failover.
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