Mercury 3 from Inception is now available on AI Gateway with 50% off launch pricing. Inception reports strong results across a range of benchmarks, with generation speeds above 1,000 tokens per second.
Mercury 3 uses diffusion to generate text through parallel refinement. It brings improved reasoning to latency-sensitive workloads such as browser agents, real-time search, interactive education, and customer support. A 1M-token context window gives those applications room for long documents and extended conversation histories.
Set AI_GATEWAY_API_KEY in your environment. Use inception/mercury-3 as the model name:
import { streamText } from 'ai';
const result = streamText({ model: 'inception/mercury-3', prompt: 'Write a brief, friendly reply to a customer whose delivery is late.',});
for await (const text of result.textStream) { process.stdout.write(text);}To use it in Claude Code, Codex, Cursor, and more, install the latest Vercel CLI and run setup:
npx vercel ai-gateway setupThen select inception/mercury-3 in the agent. See the coding agents guide for details.
Try Mercury 3 in the model playground.
AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, Zero Data Retention support, budgets for API keys, routing rules, and more.
AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests.
You can view all language models available on AI Gateway.