OnAPI vs Micro1

OnAPI is a unified API gateway that lets developers call GPT, Claude, Gemini, Sora, Veo, and Google's Nano Banana image model through a single key. Swap your SDK base URL to OnAPI's endpoint, plug in an OnAPI key, and keep the rest of your integration unchanged.

The gateway speaks OpenAI-compatible and Anthropic-compatible protocols, so chat completions, Anthropic messages, streaming, function calling, and long-context requests work without a rewrite. OnAPI says new upstream models typically appear within 24 hours of release.

Two routing channels share the same account. The economy channel bills at a 1:1 rate multiplier for everyday volume. The official channel routes through paid keys tied directly to provider accounts at a 1:7.5 multiplier when you need a straighter path to upstream APIs.

OnAPI is aimed at builders shipping AI products, especially where direct provider billing is inconvenient. Top-ups run through Alipay, WeChat, USDT, and USDC. Account balance does not expire, and the site states there is no minimum spend.

The service runs on the open-source New API project (based on One API), which handles model aggregation and cross-format conversion between provider APIs.

Micro1 runs a data lab that supplies expert human demonstrations, RL training environments, and contextual evaluations for frontier AI models and production agents. Its Realm product builds real-world scenarios for legal, pathology, and financial reasoning benchmarks, while Cortex monitors and improves agent performance after deployment. Robotics teams tap Micro1 for high-fidelity embodied data, and the expert network feeds labeled tasks back into model training pipelines.

Hiring-focused vetting platforms test candidates once, but Micro1 sells ongoing evaluation infrastructure for labs shipping agentic products. Realm publishes public leaderboards comparing Claude, Kimi, and other frontier models on domain-specific tasks, which generic benchmark suites rarely cover. The trade-off is access: pricing is quote-based through sales forms rather than self-serve dashboards, so it targets AI labs and enterprises, not individual developers running a single coding screen.

AI research teams use Micro1 Realm benchmarks to stress-test legal and clinical reasoning. Production engineering groups adopt Cortex to watch how agents behave on live workflows. Robotics and government partners source expert-labeled data when synthetic datasets fail to capture real-world edge cases.