LLM Reference

Granite 4.1 3B

Released
2026-04-29
Last refreshed
2026-04-29
Status
Researched 128d ago
Open sourceCommercial use: permittedCodingAgentsLong contextClassificationJSON / Tool use

Granite 4.1 3B is a released coding, agents, and long context model with open-source and 131k context; evaluate it while provider pricing coverage matures.

Use it for

  • Teams evaluating coding, agents, and long context
  • Workloads that can use a 131k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2026-04-29
Context
131k
Parameters
3B
Architecture
Decoder Only
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Created by

Creating reliable and adaptable AI solutions

Armonk, New York, United States
Founded 1945
Website
Pricing

No tracked provider token pricing is available yet.

About

IBM Granite 4.1 3B is a dense decoder-only transformer instruct model with 131K token context. Supports multilingual dialog (12 languages), code (FIM), tool-calling, and RAG. Trained with SFT and RL alignment on an NVIDIA GB200 NVL72 cluster. Apache 2.0.

Top use-case fit: coding, agents, and build tasks

Coding

1 relevant benchmark in the decision map.

Agents

1 relevant benchmark in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

Benchmark scores(5)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
Berkeley Function Calling Leaderboard v360.8BFCL v3 (accuracy)Observed 2026-06-07Source
Grade School Math 8K86.98-shot, instruct model (accuracy)Observed 2026-06-07Source
HumanEval79.3pass@1, instruct model (pass@1)Observed 2026-06-07Source
Massive Multitask Language Understanding67.05-shot, instruct model (accuracy)Observed 2026-06-07Source
MMLU PRO49.85-shot CoT, instruct model (accuracy)Observed 2026-06-07Source

Migration checks

No linked migration route is available for this model yet.