ModelRefs / Text Embedding 3 Large vs o3 Pro

Text Embedding 3 Large vs o3 Pro

Text Embedding 3 Large vs o3 Pro: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.

Overview

o3 Pro: o3 Pro is OpenAI's highest-capability reasoning model, applying extended compute at inference time to solve complex scientific, mathematical, and programming problems. It achieved the highest published scores on ARC-AGI-2 and competitive programming benchmarks at its June 2025 release.

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: o3 Pro accepts up to 200,000 tokens, Text Embedding 3 Large up to 8,191. Confirm the limit for your specific deployment channel before relying on it.

o3 Pro vs Text Embedding 3 Large at a glance

Attributeo3 ProText Embedding 3 Large
ProviderOpenAIOpenAI
Released2025-06-102024-01-25
Context window200,000 tokens8,191 tokens
Input price$20/M tokens$0.13/M tokens
Output price$80/M tokensFree / self-hosted
LicenceProprietaryProprietary
Self-hostableNo, hosted onlyNo, hosted only
Modalitiestext, visiontext, Embedding

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Frequently asked questions

Which is better, Text Embedding 3 Large or o3 Pro?

Text Embedding 3 Large and o3 Pro target different workloads — see the benchmark and pricing tables for a side-by-side answer.

Is Text Embedding 3 Large cheaper than o3 Pro?

Compare $0.00013 vs $0.0200 on this page.