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Model infoModelsSnapshot: 15 Oct 2026

IBM / Granite

Granite 13B Base V1

Original proprietary English pretraining checkpoint with 1T training tokens, before instruction or chat alignment.

historicalClosed weightsText generation
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
8 of 18 specification fields collected
Context window8.2K8,192 tokens
Maximum outputNot collectedAwaiting source review
Input billingNot collectedIBM Research checkpoint reference
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
8,192 tokensSource for Context / input limit (opens in a new tab)

Combined input and output budget; not an independent maximum output allowance.

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
Not collected
Architecture
Decoder-only Transformer; multi-query attention; learned absolute positionsSource for Architecture (opens in a new tab)
Context caching
Not collected
Pretraining tokens
1TSource for Pretraining tokens (opens in a new tab)

Pretraining exposure, not a context or serving limit.

Tokenizer
GPT-NeoX 20B tokenizerSource for Tokenizer (opens in a new tab)

Access & pricing

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

IBM Research checkpoint reference

Provider source (opens in a new tab)
API model ID
Not collected

Research/base checkpoint or historical revision; a separately callable selector has not been verified.

Access
Documented proprietary pretraining checkpoint. A standalone public inference route was not verified.
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 Research checkpoint reference

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 documents this proprietary product or research checkpoint. Closed-weight status applies to this exact release, not to all Granite models. Public IBM Granite and IBM Research weight inventories were reviewed separately; newer public-weight releases are excluded.

Classification evidence (opens in a new tab)

Sources reviewed