Migration assistant

Replacing gpt-5.1-codex-mini?

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.

OP
Migrating from

gpt-5.1-codex-mini

OpenAI · Active
Input: $0.25/M Output: $2/M Context:
View detail →
#1 RECOMMENDED

GPT-4.1 Nano

OpenAI · GPT-4.1
same provider; 60% cheaper input
View full detail →
What changes if you switch
Field gpt-5.1-codex-mini GPT-4.1 Nano Impact
Input price $0.25/M $0.1/M Save 60%
Output price $2/M $0.4/M Save 80%
Context window 1M tokens One value not verified
Lifecycle Active Active Same status
Other candidates
#2

GPT-4o Mini

OpenAI
same provider; 40% cheaper input
Details →
Input price: Save 40%Output price: Save 70%
#3

GPT-5 Nano

OpenAI
same provider; 80% cheaper input
Details →
Input price: Save 80%Output price: Save 80%
#4

GPT-5.4 Nano

OpenAI
same provider; 20% cheaper input
Details →
Input price: Save 20%Output price: Save 38%
#5

o1-2024-12-17

OpenAI
same provider; 76% cheaper input
Details →
Input price: Save 76%Output price: Save 97%
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.