ModelRefs / Text Embedding 3 Large vs Phi-4
Text Embedding 3 Large vs Phi-4
Text Embedding 3 Large vs Phi-4: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
Phi-4: Microsoft's 14B dense decoder-only open-weight text model, trained on 9.8T tokens with a synthetic-data-centered curriculum and available through the microsoft/phi-4 artifact and Microsoft Foundry.
Text Embedding 3 Large: Text Embedding 3 Large is OpenAI's larger third-generation embedding model, returning 3,072-dimension vectors from inputs of up to 8,192 tokens. Its dimensions parameter shortens the vector at creation time without, as OpenAI puts it, the embedding losing its concept-representing properties, which lets a retrieval system trade index size against accuracy without changing models. Shortening at creation is preferred to truncating afterwards, which requires re-normalising the vector.
Context window: Phi-4 accepts up to 16,384 tokens, Text Embedding 3 Large up to 8,191. Confirm the limit for your specific deployment channel before relying on it.
Phi-4 vs Text Embedding 3 Large at a glance
| Attribute | Phi-4 | Text Embedding 3 Large |
|---|---|---|
| Provider | Microsoft | OpenAI |
| Released | 2024-12-12 | 2024-01-25 |
| Context window | 16,384 tokens | 8,191 tokens |
| Input price | Free / self-hosted | $0.13/M tokens |
| Output price | Free / self-hosted | Free / self-hosted |
| Licence | MIT | Proprietary |
| Self-hostable | Yes, open weights | No, hosted only |
| Modalities | text | text, Embedding |
Where they differ most
- Multilingual: Phi-4 81%, Text Embedding 3 Large 78%. Phi-4 leads on this dimension.
- Cost Efficiency: Phi-4 100%, Text Embedding 3 Large 99%. Phi-4 leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Text Embedding 3 Large vs Phi-4.
Frequently asked questions
Which is better, Text Embedding 3 Large or Phi-4?
Text Embedding 3 Large and Phi-4 target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Text Embedding 3 Large cheaper than Phi-4?
Compare $0.00013 vs $0.00000 on this page.