BenchLM is tracking Granite-4.0-H-350M by IBM. Some benchmark data is visible, but not enough non-generated coverage is available for a leaderboard rank yet.
BenchLM is tracking Granite-4.0-H-350M, but this profile is currently excluded from the public leaderboard because it still lacks enough verified benchmark coverage to rank safely. Only verified public benchmark rows appear below.
Granite-4.0-H-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-H-350M sits inside the Granite 4.0 350M family alongside Granite-4.0-350M. This profile currently has 7 of 62 tracked benchmarks. BenchLM only exposes verified benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Instruction Following (#97), while its weakest is Multilingual (#97). This performance profile makes it a well-rounded choice across a range of tasks.
Provider
IBMSource Type
Open WeightReasoning
Non-ReasoningContext Window
32K
Model Status
Current
Release Date
Oct 28, 2025Overall Score
Unranked
Pricing
$0.00 / $0.00
Input / output per 1M
Runtime
N/A
Latency unavailable
BenchLM is still missing enough verified benchmark coverage to rank this model across the public leaderboard. Only verified public benchmark rows are shown below.
Granite-4.0-H-350M has 7 verified benchmark scores on BenchLM, but it does not yet have enough coverage to receive a global overall rank.
Granite-4.0-H-350M has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Granite-4.0-H-350M has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Granite-4.0-H-350M has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Granite-4.0-H-350M ranks #97 out of 97 models in instruction following benchmarks with an average score of 55.4. There are stronger options in this category.
Granite-4.0-H-350M ranks #97 out of 97 models in multilingual tasks benchmarks with an average score of 14.7. There are stronger options in this category.
Yes, Granite-4.0-H-350M is an open weight model created by IBM, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Granite-4.0-H-350M belongs to the Granite 4.0 350M family. Related variants on BenchLM include Granite-4.0-350M.
Not yet. Granite-4.0-H-350M currently has 7 verified benchmark scores out of the 62 benchmarks BenchLM tracks. BenchLM only exposes verified public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
Granite-4.0-H-350M has a context window of 32K, which determines how much text it can process in a single interaction.
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