LLM Reference

Granite 4.1 30B

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

Granite 4.1 30B 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
30B
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 30B is the largest dense instruct model in the Granite 4.1 family. Supports multilingual dialog (12 languages), code, tool-calling, and long-context tasks. Benchmarks: HumanEval 89.63, GSM8K 94.16, IFEval 89.65, BFCL v3 73.68. Apache 2.0.

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

Coding

2 relevant benchmarks 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(7)

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
MMLU PRO80.2Observed 2026-04-29Source
HumanEval89.6pass@1, instruct model (pass@1)Observed 2026-06-07Source
Berkeley Function Calling Leaderboard v373.7BFCL v3 (accuracy)Observed 2026-06-07Source
BigCodeBench38.8BigCodeBench (pass@1)Observed 2026-06-07Source
Google-Proof Q&A45.80-shot CoT, instruct model (accuracy)Observed 2026-06-07Source
Grade School Math 8K94.28-shot, instruct model (accuracy)Observed 2026-06-07Source
Massive Multitask Language Understanding80.25-shot, instruct model (accuracy)Observed 2026-06-07Source

Migration checks

No linked migration route is available for this model yet.