Model profile
Granite-4.0-350M
Evidence coverage
11 of 323 tracked benchmarks are published. 0 are verified and 11 provisional. 5 of 8 categories are measured.
- Published / tracked
- 11 / 323
- Verified
- 0
- Provisional
- 11
- Categories with evidence
- 5 / 8
Evidence by category
- Agentic1 benchmarkReported
- Coding1 benchmarkReported
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following1 benchmarkReported
Granite-4.0-350M ranks #181 out of 200 models on the public leaderboard with an overall score of 38.32/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
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 11 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 37.87–39.8
- Llama 4 BehemothMetaCompare#17639.8Llama 4 Behemoth is #176 with a score of 39.8.
- Ministral 3 3B (Reasoning)MistralCompare#17739.52Ministral 3 3B (Reasoning) is #177 with a score of 39.52.
- Mistral 8x7B v0.2MistralCompare#17839.13Mistral 8x7B v0.2 is #178 with a score of 39.13.
- Grok Code Fast 1xAICompare#18038.64Grok Code Fast 1 is #180 with a score of 38.64.
- Granite-4.0-350MCurrent modelIBM#18138.32Granite-4.0-350M is #181 with a score of 38.32.
- Granite-4.0-H-350MIBMCompare#18238.32Granite-4.0-H-350M is #182 with a score of 38.32.
- GPT-4o miniOpenAICompare#18337.87GPT-4o mini is #183 with a score of 37.87.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%1 benchmarkReported | Score pending | Not ranked | Not available | 22% | 1 benchmark | Reported |
| CodingWeight 20%1 benchmarkReported | Score pending | Not ranked | Not available | 20% | 1 benchmark | Reported |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%6 benchmarksReported | 16.6 | Not ranked | Not available | 12% | 6 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported | 61.6 | Not ranked | Not available | 5% | 1 benchmark | Reported |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic1 benchmark
τ²-Bench Tool-Agent-User Evaluation
Coding1 benchmark
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge6 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Granite-4.0-350M perform overall in AI benchmarks?
Granite-4.0-350M has 11 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 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
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 11 published benchmark scores out of the 323 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 published context window of 32K, which determines how much text it can process in a single interaction.
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