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  1. Home
  2. AI Models
  3. Natural Language Processing
  4. Granite 3.3
open sourcellm

Granite 3.3

Enterprise-grade Apache 2.0 LLM by IBM — 128K context, governance-first

Developed by IBM Research

Try Model
2B / 8BParams
YesAPI
stableStability
Granite 3.3 8BVersion
Apache 2.0License
PyTorchFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
Extract all financial figures, dates, and party names from this contract excerpt and return as structured JSON: 'On March 15, 2026, ABC Corp agreed to pay XYZ Ltd $1,250,000 in three installments: 40% on signing, 30% on June 15, 2026, and 30% on Dec 31, 2026.'

Model Output

model response
{"effective_date": "2026-03-15", "parties": {"payer": "ABC Corp", "payee": "XYZ Ltd"}, "total_amount": 1250000, "currency": "USD", "installments": [{"percentage": 40, "due_date": "2026-03-15", "amount": 500000}, {"percentage": 30, "due_date": "2026-06-15", "amount": 375000}, {"percentage": 30, "due_date": "2026-12-31", "amount": 375000}]}

Examples

Real-World Applications

  • Enterprise customer service
  • compliance document analysis
  • knowledge-base assistants
  • code generation
  • multilingual content
  • RAG
  • watsonx-native AI.

Docs

Model Intelligence & Architecture

What is Granite 3.3?

Granite 3.3 is the latest generation of IBM's open-source Granite language model family, released in 2025. Designed specifically for enterprise use cases, the Granite 3.3 series includes the Granite-3.3-2B-Instruct, Granite-3.3-8B-Instruct, and Granite-3.3-8B-Base models — all released under Apache 2.0.

It's part of IBM's broader watsonx AI platform but the weights are 100% free to download and self-host.

Why Granite 3.3 Is Trending in 2026

As enterprises demand AI with full data provenance, transparent training, and Apache 2.0 freedom, Granite has become a top choice. IBM provides extensive documentation on training data sources, governance practices, and bias mitigation — critical for regulated industries.

Granite 3.3 brings dramatic improvements in reasoning and tool use over Granite 3.0/3.1, while remaining lightweight enough for cost-effective deployment.

Key Features and Capabilities

Granite 3.3 supports 128K-token context window, function calling, JSON mode, code generation, multi-turn dialogue, and 12 natural languages. The 8B Instruct variant offers reasoning toggle for complex multi-step tasks.

Who Should Use Granite 3.3?

Granite 3.3 is built for large enterprises, regulated industries (finance, healthcare, government), IBM watsonx customers, compliance-focused teams, and global multilingual deployments.

Top Use Cases

Real-world applications include enterprise customer service, internal knowledge-base assistants, compliance document analysis, code generation, multilingual content, RAG systems, and IBM watsonx-native deployments.

Where Can You Run It?

Granite 3.3 runs on Hugging Face Transformers, Ollama (ollama pull granite3.3), vLLM, IBM watsonx, and Red Hat Enterprise Linux AI. The 2B fits on a 6 GB GPU; 8B needs ~16 GB at full precision.

How to Use Granite 3.3 (Quick Start)

Easiest: ollama pull granite3.3:8b. For Hugging Face: ibm-granite/granite-3.3-8b-instruct. Use the standard chat template for multi-turn conversations and function calling.

When Should You Choose Granite 3.3?

Choose Granite 3.3 when you need an enterprise-grade, fully-documented, governance-friendly LLM. For maximum frontier quality, also consider Llama 3.3-70B or Mistral Small 3. For pure performance per parameter, Phi-4 may be better.

Pricing

Granite 3.3 is completely free under Apache 2.0. IBM watsonx hosting has tiered pricing.

Pros and Cons

Pros: ✔ Apache 2.0 license ✔ Enterprise-grade governance ✔ 128K context ✔ Function calling + JSON mode ✔ Multiple sizes (2B/8B) ✔ IBM watsonx integration ✔ Reasoning toggle

Cons: ✘ Smaller community than Llama/Mistral ✘ Best for IBM ecosystem teams ✘ Slightly behind Llama 3.1 on raw benchmarks

Final Verdict

Granite 3.3 is the best enterprise-governance-friendly open LLM in 2026 — perfect for regulated industries. Discover more enterprise AI at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ Apache 2.0 license
  • ✓ Enterprise-grade governance
  • ✓ 128K context window
  • ✓ Function calling + JSON mode
  • ✓ Multiple sizes (2B/8B)
  • ✓ IBM watsonx integration
  • ✓ Reasoning toggle
Limitations
  • ✗ Smaller community than Llama/Mistral
  • ✗ Best for IBM ecosystem
  • ✗ Behind Llama 3.1 on raw benchmarks

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code Pricing Details

Technical Details

Architecture
Decoder Transformer with GQA
Stability
stable
Framework
PyTorch
License
Apache 2.0
Release Date
2025-04-15
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted

Pricing

Free Apache 2.0 weights; watsonx hosting tiered

Best For

Regulated industries and enterprise teams needing governance-friendly open LLM

Alternative To

Llama 3.1-8B, Mistral 7B, Phi-4

Compare With

granite vs llamagranite vs mistralgranite 3.3 vs phi-4ibm granite enterprisebest apache 2 llm enterprise

Tags

#Granite#Enterprise AI#Apache 2#Open Source AI#llm#ibm

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