Pixel Canary is now available in stealth for free on AI Gateway
- Source
- vercel.com
- Author
- Zachary Chen
- Date
Vercel added Pixel Canary to AI Gateway as a stealth model, meaning the developer is not disclosed, and is offering it free for now. According to Vercel, it ties GPT-6 Astra on the company's Next.js benchmarks and reaches a 96.8% pass rate when the model is given AGENTS.md documentation for the project. That second figure is the more useful one: it measures the model with repository context rather than cold, which is closer to how coding agents run in practice. Both scores come from Vercel's own evaluations on a single framework, so they say little about performance on other stacks. Stealth releases on gateways are typically a pre-launch test, so the free period is a low-cost window to run the model against a team's own tasks before its origin and pricing are announced.

Context
Pixel Canary is a coding model released in "stealth" on Vercel's AI Gateway, and Vercel's release note reports a Next.js score for it. Vercel says Pixel Canary passed 28 of 31 tasks on its Next.js (90.3%) on its own and 30 of 31 (96.8%) when Next.js documentation was supplied through an AGENTS.md file, a file of instructions that coding agents read. Scores use pass@4: a task counts as passed if any of up to four attempts succeeds.
The 96.8% figure therefore describes coverage across a small task set under a four-attempt allowance. It does not tell a developer the probability that a single attempt will succeed. The comparison also shows that the information supplied to the coding was part of the evaluated setup, and the results are Vercel's own report.
- Vercel's Next.js eval scores use pass@4, so a task counts as passed if any of up to four attempts succeeds; Pixel Canary's 28/31 baseline and 30/31 with AGENTS.md docs are on that basis.
- Zero data retention is not available for the stealth model, and Vercel says prompts and responses sent to it may be used for training and model improvement.
- Running `vercel ai-gateway setup` detects installed coding agents, provisions or reuses a Gateway API key, and wires them to the gateway so stealth/pixel-canary can be selected.
- benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
- eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Checking sign-in…
Loading comments…






