Replacing gpt-4-turbo?
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.
Text Embedding 3 Small
| Field | gpt-4-turbo | → | Text Embedding 3 Small | Impact |
|---|---|---|---|---|
| Input price | $0.03/M | → | $0.02/M | Save 33% |
| Output price | $30/M | → | — | Candidate price not verified |
| Context window | — | → | 8K tokens | One value not verified |
| Lifecycle | Active | → | Active | Same status |
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.