text-embedding-3-large
text-embedding-3-large
text-embedding-3-large has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Decision context: Coding task fit, 0 tracked provider routes, and research from 2026-05-16.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 8K context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest output
-
No tracked output price
Provider routes
0
No provider route in seed
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-05-16
Researched today
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
OpenAI's most capable text embedding model with 3072 output dimensions (configurable). Supports Matryoshka representation learning for smaller embeddings with reduced quality loss.
text-embedding-3-large has a 8K-token context window.
Capabilities
No model capability flags are currently sourced.
Specifications
Created by
Cutting-edge research and development.