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Model infoModelsSnapshot: 15 Oct 2026

IBM / Slate

Slate 125M English Retriever

English retrieval bi-encoder producing 768-dimensional vectors for semantic search and similarity.

retiredClosed weightsEmbeddings
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
8 of 18 specification fields collected
Input token limit512512 tokens
Vector dimensions768768 dimensions
Input billingNot collectedIBM watsonx.ai (withdrawn)
Output billingNot collectedNo inferred price

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
Not collected
Maximum output
Not collected
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
Not collected
Batch processing
Not collected
Fine-tuning
Not collected
Knowledge cutoff
Not collected
Release date
2024-04-11Source for Release date (opens in a new tab)

Hosted service availability date, not the date of training completion.

Architecture
RoBERTa-base bi-encoder; model fusionSource for Architecture (opens in a new tab)
Context caching
Not collected

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

IBM watsonx.ai (withdrawn)

Provider source (opens in a new tab)
API model ID
ibm/slate-125m-english-rtrvr
Access
Historical hosted embedding selector, withdrawn on 2025-11-12.
Regions
Product, deployment, and region restrictions apply. This record does not imply global availability or residency.

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

IBM watsonx.ai (withdrawn)

ibm/slate-125m-english-rtrvr
Not verified
How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

IBM’s proprietary Slate retrieval checkpoint, offered through watsonx and documented separately from the later public Granite Embedding family. Closed-weight classification is inferred from product distribution and the reviewed IBM weight inventories, not merely from the IBM brand.

Classification evidence (opens in a new tab)

Lifecycle dates

Hosted availability11 Apr 2024Source (opens in a new tab)
Deprecated (lifecycle table)13 Aug 2025Source (opens in a new tab)
Hosted withdrawal12 Nov 2025Source (opens in a new tab)

Sources reviewed