Migration assistant

Replacing Llama 4 Maverick?

Ranked replacement candidates, each shown with exactly what changes if you switch. Same-provider matches surface first because switching cost is lower; capability regressions are flagged in red.

Migrating from

Llama 4 Maverick

Meta · Llama 4 · Active

Input: $0.15/M Output: $0.6/M Context: 1M

View detail →

#1 RECOMMENDED

Llama 4 Scout

Meta · Llama 4

same provider; same family; 47% cheaper input; 10M context (larger); loses 1 capability

View full detail →

What changes if you switch

Field	Llama 4 Maverick	→	Llama 4 Scout	Impact
Input price	$0.15/M	→	$0.08/M	Save 47%
Output price	$0.6/M	→	$0.3/M	Save 50%
Context window	1M tokens	→	10M tokens	+900% larger
Vision input	✓ supported	→	✓ supported	Preserved
Function calling	✓ supported	→	✗ not supported	LOST — re-evaluate before switching
Lifecycle	Active	→	Active	Same status

Other candidates

Gemini 2.0 Flash

Google Gemini

33% cheaper input; 1M context (larger)

Details →

Input price: Save 33%Output price: Save 33%Context window: +5% larger

Gemini 2.5 Flash-Lite

Google Gemini

33% cheaper input; 1M context (larger)

Details →

Input price: Save 33%Output price: Save 33%Context window: +5% larger

Llama 4 Behemoth

GPT-4.1 Nano

OpenAI

33% cheaper input; 1M context (larger)

Details →

Input price: Save 33%Output price: Save 33%Context window: +5% larger

Methodology

How candidates are ranked

Candidates are ranked by how much of the source model's profile each one preserves — weighing switching cost (same provider or model family surface first), capability parity (what you keep versus what you'd lose), context window, and pricing direction. A candidate that is itself deprecated is pushed down the list; one that's already retired is never recommended.

Ranking is purely algorithmic — no editorial weighting, no paid placement. Every value is pulled from each provider's own documentation; click any model name to see the source-linked detail.