Migrating off Llama 4 Scout
Groq decommissioned Llama 4 Scout on 2026-07-17. If you're reading this because a bookmarked pricing page or an old integration guide 404'd, this is the retirement record — the model is no longer callable on Groq, full stop.
What actually changes
| Llama 4 Scout | — | |
|---|---|---|
| Blended $/M | — | — |
| Context window | 10,000,000 tokens | — |
| Max output | 32,768 tokens | — |
| Modalities | text, vision | — |
| Tokens / sec | unchanged / not measured | not measured |
Pricing from our live pricing registry; speed from our benchmark leaderboard where measured.
Gotchas
- Scout's headline feature was its 10M-token context window — nothing in our current catalog matches that. Gemini 3.1 Pro's 2M-token window is the largest we route to now; if your use case genuinely needed 10M tokens of context, no current model in our catalog is a direct replacement.
- Scout was a Meta open-weight model served via Groq at Groq pricing. Its intended successor, Muse Spark 1.1, is a proprietary first-party Meta model on a different API — not an open-weight download you can self-host as a fallback.
- Any code that hardcoded the `llama-4-scout` model id now fails outright rather than returning stale results — check server logs for 4xx errors on that id if a workflow silently broke around 2026-07-17.
Alternatives beyond the obvious successor
Largest current context window (2M tokens) if long-document handling was the priority.
Groq-hosted multimodal replacement, far smaller context but similar speed profile.
1M-token context with strong document analysis, off Groq.
FAQ
Is Llama 4 Scout being shut down?
Yes — it was retired on 2026-07-17. Source: https://console.groq.com/docs/deprecations.
What should I switch to from Llama 4 Scout?
There is no direct 1:1 successor — see the alternatives section for cross-provider options.
Will switching cost more or less?
See the pricing comparison table below for exact numbers.