Migration assistant

Replacing Gemini Embedding 001?

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.

GG
Migrating from

Gemini Embedding 001

Google Gemini · Embedding · Active
Input: $0.15/M Output: —/M Context: 2K
View detail →
#1 RECOMMENDED

Gemini 2.0 Flash

Google Gemini · Gemini 2.0
same provider; 33% cheaper input; 1M context (larger)
View full detail →
What changes if you switch
Field Gemini Embedding 001 → Gemini 2.0 Flash Impact
Input price $0.15/M → $0.1/M Save 33%
Output price — → $0.4/M Source price not verified
Context window 2K tokens → 1M tokens +51100% larger
Lifecycle Active → Active Same status
Other candidates
#2

Gemini 2.5 Flash-Lite

Google Gemini
same provider; 33% cheaper input; 1M context (larger)
Details →
Input price: Save 33%Context window: +51100% larger
#3

Gemini 3.1 Flash-Lite

Google Gemini
same provider; 17% cheaper input; 1M context (larger)
Details →
Input price: Save 17%Context window: +48728% larger
#4

Gemini Embedding 2

Google Gemini
same provider; same family
Details →
#5

Gemini Embedding 2 Preview

Google Gemini
same provider; same family
Details →
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.