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text-embedding-ada-002

azure/text-embedding-ada-002

Par azure · famille: text-embedding · sorti 2022-12-15

$0.100
Entrée / 1M jetons
Unknown
Sortie / 1M jetons
8K
Fenêtre de contexte
2K
Sortie max

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacités

✗ Tool calling✗ Raisonnement? Sortie structurée✗ Pièces jointes✗ Poids ouverts? Contrôle de température
Modalités: entrée text · sortie text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding1
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents1
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit0/15
  • Provider availability1/10
JSON / structured output20
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control0/10
  • Price-friendly for high-volume20/20
Cost efficiency86
  • Headline price (log-scaled)86/95
  • Has prompt-cache pricing0/5
Long context0
  • Context ≥ 100K0/100
Production-readiness58
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K8/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$0.50
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$1.00
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$0.20
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$0.80
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$1.20
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Détail des tarifs

Tarif recommandé de azure · text-embedding-ada-002

$0.100
Entrée
Unknown
Sortie

Disponible chez 1 fournisseurs

FournisseurID modèle fournisseurEntrée / 1MSortie / 1MContextePublié le
Azure
azure
text-embedding-ada-002$0.100Unknown8K2022-12-15

Frequently asked questions

How much does text-embedding-ada-002 cost?

text-embedding-ada-002 costs $0.100 per 1M input tokens and Unknown per 1M output tokens, sourced from azure. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of text-embedding-ada-002?

text-embedding-ada-002 has a context window of 8K tokens, with a max output of 2K tokens per reply. This is the total combined size of prompt + completion.

Does text-embedding-ada-002 support tool calling?

No. text-embedding-ada-002 does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does text-embedding-ada-002 support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for text-embedding-ada-002 in our data source. Verify with azure's official documentation before relying on it in production.

Can text-embedding-ada-002 accept image input?

No. text-embedding-ada-002 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is text-embedding-ada-002 open-weight?

No. text-embedding-ada-002 is a proprietary model — only azure (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to text-embedding-ada-002?

If text-embedding-ada-002 doesn't fit, consider Codex Mini, Ministral 3B, text-embedding-3-large. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

More azure models

See also

Dernière mise à jour :

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.