# Pixel Canary is now available in stealth for free on AI Gateway

Source: [Vercel](https://vercel.com/changelog/pixel-canary-is-now-available-in-stealth-for-free-on-ai-gateway)  
Feed7 permalink: https://feed7.dev/p/pixel-canary-is-now-available-in-stealth-for-free-on-ai-gateway-16cu9lk  
Published: 2026-09-25T00:00:00.000Z  
Trust: Official Source (official_source)

## Why Included

Pixel Canary reaches 90.3% on Vercel’s Next.js eval and 96.8% with docs in AGENTS.md, but lacks ZDR and may use prompts and responses for training.

## Source Summary

Pixel Canary is available as **stealth/pixel-canary** through Vercel AI Gateway. It passed **28 of 31 tasks (90.3%)** without supplied docs and **30 of 31 (96.8%)** when Next.js documentation was provided through AGENTS.md.

## Practical Implication

For Next.js agents, test whether targeted framework documentation improves results in your own repository. The model covers migrations, data fetching, optimization, caching, and view transitions, and Vercel’s CLI can configure supported agents to use the gateway.

## Agent-Ready Context

Pixel Canary is available as **stealth/pixel-canary** through Vercel AI Gateway. It passed **28 of 31 tasks (90.3%)** without supplied docs and **30 of 31 (96.8%)** when Next.js documentation was provided through AGENTS.md.

For Next.js agents, test whether targeted framework documentation improves results in your own repository. The model covers migrations, data fetching, optimization, caching, and view transitions, and Vercel’s CLI can configure supported agents to use the gateway.

These results use **pass@4**, so a task counts if any of four attempts works rather than measuring first-attempt reliability. ZDR is unavailable, prompts and responses may be used for training, and free access is limited to the stealth period.

## Connected Context

Feed7 judgment across 878 accumulated Signals:

Pixel Canary supplies unusually concrete evidence that targeted repository context can improve agent outcomes: adding Next.js documentation raised pass@4 results from 28 to 30 of 31 tasks. That narrows evaluation toward testing model-plus-context configurations, not model names alone. The small suite, four-attempt scoring, temporary access, and training-data exposure prevent treating 96.8% as first-try reliability or a production default.

- [Muse Spark 1.3 now available on AI Gateway](https://feed7.dev/p/muse-spark-1-3-now-available-on-ai-gateway-0b1bnu3) — Both routes introduce a model-training use of submitted data, making privacy policy a gating selection criterion alongside coding performance.
- [Claude Opus 5.5 now available on AI Gateway](https://feed7.dev/p/claude-opus-5-5-now-available-on-ai-gateway-0eh7dtl) — Opus 5.5 requires compatibility checks around thinking and tool behavior, while Pixel Canary demonstrates a separate evaluation axis: framework documentation can materially change task results.
- [Qwen 3.8 Flash now available on AI Gateway](https://feed7.dev/p/qwen-3-8-flash-now-available-on-ai-gateway-1skoa7y) — Qwen adds capacity and modality claims without comparative results; Pixel Canary shows the kind of repository-task evidence needed to distinguish options in the crowded Gateway catalog, while also exposing pass@4’s reliability limitation.

## Context Map

- Layer: model
- Domains: coding
- Topics: model-selection, coding-agents, context-engineering

## Uncertainty

- These results use **pass@4**, so a task counts if any of four attempts works rather than measuring first-attempt reliability. ZDR is unavailable, prompts and responses may be used for training, and free access is limited to the stealth period.

## Agent Instruction

Use this item as source-backed context. Do not invent claims beyond the linked source. If this item conflicts with another source, call out the conflict.