LLM Reference

Granite Models by IBM Research

IBM ResearchApache 2.0Open source
10 models2023–2024Up to 8k ctxFrom $0.185/1M input

Last refreshed 2026-05-19. Next refresh: weekly.

Details

ResearcherIBM Research
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models10
Released2023–2024
Max context8k

About

The Granite family of large language models, developed by IBM, is tailored for enterprise applications. These open-source models are available under the Apache 2.0 license and highlight performance, safety, and cost-efficiency. The latest iteration, Granite 3.0, marks a significant upgrade, being trained on over 12 trillion tokens in 12 languages and 116 programming languages. Offering a variety of model sizes and specializations, including the safety-focused Granite Guardian and latency-optimized Mixture-of-Experts (MoE) models, they brim with versatility. These models can handle tasks such as summarization, text classification, and code generation. They're accessible across platforms like Hugging Face, IBM watsonx, and Google Cloud's Vertex AI. IBM ensures transparency and responsible AI utilization through comprehensive documentation and benchmarks, underscoring their commitment to open-source innovation 123.

Decision facts

Best fit
coding
Capability starting point
IBM Granite 13B Instruct v1 with 8k context
Lowest tracked input
IBM Granite 13B Instruct v1 · $0.185/1M · IBM watsonx
Closest related family
Granite 4

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

10 in view
Granite 3BCurrent

Use when the workload needs 3B parameters.

2024-103B parameters
Granite 7BCurrent

Use when the workload needs 7B parameters.

2024-107B parameters

Use when the workload needs 34B parameters.

2024-1034B parameters

Use when the workload needs 8k context and 13B parameters.

2023-118k context13B parameters

Use when the workload needs 8k context and 20B parameters.

2023-118k context20B parameters

Use when the workload needs 4k context and 8B parameters.

2023-114k context8B parameters

Use when the workload needs 8k context and 13B parameters.

2023-118k context13B parameters

Use when the workload needs 8k context and 7B parameters.

2023-118k context7B parameters

Use when the workload needs 8k context and 13B parameters.

2023-118k context13B parameters

Use when the workload needs 8k context and 13B parameters.

2023-118k context13B parameters

Release Timeline

2 release groups
2024-10
3 current
Granite 34B
34B parameters
Current
Granite 3B
3B parameters
Current
Granite 7B
7B parameters
Current
2023-11
7 current
Granite 13B
8k context13B parameters
Current
Granite 13B Chat
8k context13B parameters
Current
Granite 20B Multilingual
8k context20B parameters
Current
Granite 7B Lab
8k context7B parameters
Current
Granite 8B Japanese
4k context8B parameters
Current
IBM Granite 13B Chat v1
8k context13B parameters
Current
IBM Granite 13B Instruct v1
8k context13B parameters
Current

Specifications(10 models)

Granite model specifications comparison
ModelReleasedContextParameters
Granite 3B2024-103B
Granite 7B2024-107B
Granite 34B2024-1034B
Granite 13B Chat2023-118k13B
Granite 20B Multilingual2023-118k20B
Granite 8B Japanese2023-114k8B
Granite 13B2023-118k13B
Granite 7B Lab2023-118k7B
IBM Granite 13B Instruct v12023-118k13B
IBM Granite 13B Chat v12023-118k13B

Available From(1 provider)

Pricing

Granite model pricing by provider
ModelProviderInput / 1MOutput / 1MType
IBM Granite 13B Instruct v1IBM watsonx$0.185$0.185Serverless
IBM Granite 13B Chat v1IBM watsonx$0.185$0.185Serverless
Granite 20B MultilingualIBM watsonx$0.6$0.6Serverless
Granite 13B ChatIBM watsonx$0.6$0.6Serverless
Granite 13BIBM watsonx$0.6$0.6Serverless
Granite 8B JapaneseIBM watsonx$0.6$0.6Serverless
Granite 7B LabIBM watsonx$0.6$0.6Serverless