Granite-4.0-H-1B
BenchLM is tracking Granite-4.0-H-1B, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.
Granite-4.0-H-1B is a open weight model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
Granite-4.0-H-1B sits inside the Granite 4.0 1B family alongside Granite-4.0-1B. This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.
Its strongest category is Instruction Following (#93). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 2 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
#101Multimodal
Inst. Following
#93Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Granite-4.0-H-1B stacks up against similar models
Frequently Asked Questions
How does Granite-4.0-H-1B perform overall in AI benchmarks?
BenchLM is tracking Granite-4.0-H-1B, but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.
Is Granite-4.0-H-1B open source?
Yes, Granite-4.0-H-1B is an open weight model created by IBM, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Granite-4.0-H-1B?
Granite-4.0-H-1B belongs to the Granite 4.0 1B family. Related variants on BenchLM include Granite-4.0-1B.
Does Granite-4.0-H-1B have full benchmark coverage on BenchLM?
Not yet. Granite-4.0-H-1B currently has 0 published benchmark scores out of the 193 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Granite-4.0-H-1B?
Granite-4.0-H-1B has a context window of 128K, which determines how much text it can process in a single interaction.
Related Resources
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