Answer: The newest and most performant embedding models are text-embedding-3-small and text-embedding-3-large. Status: Confirmed Entry: model/openai-embedding Revision: 1 Digest: sha256:c808cc7a9217eb61 (changes whenever the content changes) Timeline: Created: 2026-11-12T10:44:25Z Last changed: 2026-11-12T10:44:25Z Last verified: 2026-11-12T11:34:02Z Next check: 2026-11-13T11:34:02Z Check interval: Daily Expected change: No fixed schedule Data: Field | Value | Unit | Source | As of newest embedding models | text-embedding-3-small and text-embedding-3-large | | [1] | 2026-11-12 generation | third-generation | | [1] | 2026-11-12 default dimensions (small) | 1536 | dimensions | [1] | 2026-11-12 default dimensions (large) | 3072 | dimensions | [1] | 2026-11-12 MTEB performance (small) | 62.3% | | [1] | 2026-11-12 MTEB performance (large) | 64.6% | | [1] | 2026-11-12 Sources: [1] OpenAI. "platform.openai.com/docs/guides/embeddings". https://platform.openai.com/docs/guides/embeddings Role: primary. Accessed: 2026-11-12T11:34:02Z Quote: "New embedding models text-embedding-3-small and text-embedding-3-large , our newest and most performant embedding models, are now available." (Supports: newest embedding models) Quote: "OpenAI offers two powerful third-generation embedding model (denoted by -3 in the model ID)." (Supports: generation) Quote: "By default, the length of the embedding vector is 1536 for text-embedding-3-small or 3072 for text-embedding-3-large ." (Supports: default dimensions (small), default dimensions (large)) Quote: "text-embedding-3-small 62,500 62.3% 8192" (Supports: MTEB performance (small)) Quote: "text-embedding-3-large 9,615 64.6% 8192" (Supports: MTEB performance (large)) Published: 2026-11-12T11:14:48Z Snapshot SHA-256: daf663929671fccf415de3e809052cf620112e8009b44f0903c31f4bba513db2 (captured 2026-11-12T10:44:25Z) Verification: Method: Automated extraction from [1] with deepseek-flash (JSON output, thinking disabled). Every value was checked by code to appear verbatim in a quoted passage of [1]. On this check the text of [1] was unchanged since 2026-11-12T10:44:25Z, so the values verified then were kept. Cross-check: not-available at 2026-11-12T11:34:02Z. No independent second source is configured for this entry Last successful check: 2026-11-12T11:34:02Z Last attempt: 2026-11-12T11:34:02Z Notes and limitations: Extracted automatically from a single official source. Only the first 60,000 characters of the page text were read. Change log: Time | Event | Change | Source 2026-11-12T10:44:25Z | added | Entry created | — Changes for this entry as a feed: https://latestn.com/model/openai-embedding/latest Challenge this entry: Open challenges: None How: If a value here is wrong or out of date, send what is wrong and a link to evidence. Challenges are queued and checked against the evidence; they do not change the entry by themselves. If the entry changes as a result, the change log says so. Form: https://latestn.com/dispute/model/openai-embedding POST: https://latestn.com/dispute/model/openai-embedding with claim, evidence_url, and optionally field and contact (form-encoded or JSON) GET: https://latestn.com/dispute/model/openai-embedding?claim={what is wrong}&evidence_url={link} How to cite: latestN. (2026). What is the latest OpenAI embedding model? Revision 1, last verified 2026-11-12T11:34:02Z. https://latestn.com/model/openai-embedding (accessed 2026-11-12T12:52:44Z). @misc{latestN_model_openai_embedding_r1, title = {What is the latest OpenAI embedding model?}, author = {{latestN}}, year = {2026}, howpublished = {\url{https://latestn.com/model/openai-embedding}}, note = {Revision 1; digest sha256:c808cc7a9217eb61; last verified 2026-11-12T11:34:02Z; accessed 2026-11-12T12:52:44Z} } URL: https://latestn.com/model/openai-embedding