Models / Text Embedding Ada 002ID: openai/text-embedding-ada-002
embedding model by OpenAI

Text Embedding Ada 002

Legacy OpenAI embedding model generating 1536-dimensional embeddings across an 8192-token context window for similarity matching and classification.

Context window8.2K
Maker

OpenAI

Served On

OpenAI

Specifications

Context window, ranked against other embedding models

Proportional scale: 0 to 8.2K tokens.

Context window

8.2K

Source: platform.openai.com
Max output

—

Modality

embedding

Vision
Function calling
System prompt

Benchmarks & Performance Rankings

Empirical intelligence benchmarks and category leaderboard placements for Text Embedding Ada 002.

Core Benchmark DimensionsSource: learn.microsoft.com
MMLUKnowledge

0%

HumanEvalCoding

0%

Latency p50TTFT

—ms

p99: —ms

ThroughputStream

—tok/s

SWE-bench: 0%

Benchmarks

Mteb61.0
Source: learn.microsoft.com2026-09-13
Miracl31.4
Source: learn.microsoft.com2026-09-13
not listed on arena.ai text leaderboard as of 2026-09-11

Pricing

Rates are read live

Pricing for text-embedding-ada-002 is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Availability

Not enough data yet

We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.

How Text Embedding Ada 002 is billed

Billed at the provider's list price, with no per-token markup.

Exact list price
Tokens settle at the published rate of the model that served your call.
Cache discounts passed through
Provider prompt-caching discounts reach your balance with no added fee.
Cost on every response
Each response carries the x-nr-request-cost header, so you can reconcile spend per request.

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