OnAPI vs Cerebras

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.

Cerebras builds wafer-scale AI chips and runs one of the fastest LLM inference platforms available today. Its CS-2 and CS-3 systems power cloud APIs, dedicated private endpoints, and on-prem deployments for teams that need low-latency responses at production scale.

The Wafer-Scale Engine is a single chip 58 times larger than typical GPUs, designed specifically for training and inference workloads. On the cloud side, developers call open models like Llama, Qwen, GLM, and GPT OSS through a simple API key, with throughput that routinely hits thousands of tokens per second on supported models.

Cerebras serves AI-native startups, enterprise research teams, and global companies across healthcare, cybersecurity, and drug discovery. Customers include OpenAI, Meta, GSK, Notion, and Mayo Clinic. You can start free on the inference API, scale through pay-as-you-go developer billing, or talk to sales for dedicated capacity and custom model weights.