Granite-4.0-350M
BenchLM is tracking Granite-4.0-350M, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
Granite-4.0-350M is a open weight model with a 32K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
Granite-4.0-350M sits inside the Granite 4.0 350M family alongside Granite-4.0-H-350M. This profile currently has 16 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Ranking Distribution
Category rank across 1 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
#102Multimodal
Inst. Following
#125Benchmark 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.
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See how Granite-4.0-350M stacks up against similar models
Frequently Asked Questions
How does Granite-4.0-350M perform overall in AI benchmarks?
Granite-4.0-350M has 16 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Granite-4.0-350M good for knowledge and understanding?
Granite-4.0-350M has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Granite-4.0-350M good for coding and programming?
Granite-4.0-350M has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is Granite-4.0-350M good for reasoning and logic?
Granite-4.0-350M has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Granite-4.0-350M good for agentic tool use and computer tasks?
Granite-4.0-350M has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is Granite-4.0-350M good for instruction following?
Granite-4.0-350M ranks #125 out of 119 models in instruction following benchmarks with an average score of 0. There are stronger options in this category.
Is Granite-4.0-350M open source?
Yes, Granite-4.0-350M 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-4.0-350M?
Granite-4.0-350M belongs to the Granite 4.0 350M family. Related variants on BenchLM include Granite-4.0-H-350M.
Does Granite-4.0-350M have full benchmark coverage on BenchLM?
Not yet. Granite-4.0-350M currently has 16 published benchmark scores out of the 225 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-4.0-350M?
Granite-4.0-350M has a context window of 32K, which determines how much text it can process in a single interaction.
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