ibm-granite
Granite-4.1-8B is a 8B parameter long-context instruct model finetuned from Granite-4.1-8B-Base using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets.
Running this yourself: desktop gpu should be enough.
This model is still tracked for research and discovery, but it is excluded from default public rankings until it returns to active status.
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Quality Score
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Arena ELO
8B
Parameters
131K
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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May 2026
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
Granite 4.1 8B Benchmark Update
Quality: 6.4/100 | Price: $0.063/M tokens | Output: 103.622 tok/s | HumanEval: 0.218%
View sourceGranite 4.1 8B Benchmark Update
Quality: 6.4/100 | Price: $0.063/M tokens | Output: 109.198 tok/s | HumanEval: 0.218%
View sourceGranite 4.1 8B Benchmark Update
Quality: 6.4/100 | Price: $0.063/M tokens | Output: 109.698 tok/s | HumanEval: 0.218%
View sourceGranite 4.1 8B Benchmark Update
Quality: 6.4/100 | Price: $0.063/M tokens | Output: 116.972 tok/s | HumanEval: 0.218%
View sourceGranite 4.1 8B Benchmark Update
Quality: 6.4/100 | Price: $0.063/M tokens | Output: 113.962 tok/s | HumanEval: 0.218%
View sourceGranite 4.1 8B Benchmark Update
Quality: 6.7/100 | Price: $0.063/M tokens | Output: 120.186 tok/s | HumanEval: 0.218%
View source