Capability
46.9/100
field median 59.1
#162 of 228 ranked models
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Data as of August 31, 2026 · How the score is built
Instruction Following ranks #17. A well-rounded choice across a range of tasks.
14 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
46.9/100
field median 59.1
#162 of 228 ranked models
Price
Self-hosted; infrastructure cost varies
input median $1
No comparable first-party hosted token rate
Speed
145tok/s
field median 94 tok/s
First token 14.38 s
Context
128Ktokens
field median 229,500
Maximum output length is tracked separately
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
Granite 4.2 8B category percentile values
The dashed outline is median of 6 nearest peers.
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersScores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #93 of 142Percentile 35thWeight 22%3 benchmarksVerified | 44.4 | #93 of 142 | 35th | 22% | 3 benchmarks | Verified |
| CodingRank #107 of 147Percentile 27thWeight 20%6 benchmarksVerified | 46.8 | #107 of 147 | 27th | 20% | 6 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank Not rankedWeight 12%2 benchmarksVerified | 66.6 | Not ranked | Not available | 12% | 2 benchmarks | Verified |
| MathWeight 5%2 benchmarksVerified | Score pending | Not ranked | Not available | 5% | 2 benchmarks | Verified |
| 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 #17 of 43Percentile 62ndWeight 5%1 benchmarkVerified | 87.8 | #17 of 43 | 62nd | 5% | 1 benchmark | Verified |
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score47.7% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap48.3 behind | WeightWeighted 16% | Provider exact |
| SciCodeScientific Code Benchmark | Score36.1% | Versus best verified row Best verified: Sakana Fugu · 60.1% | Gap24 behind | WeightWeighted 16% | Provider exact |
| SWE-bench Pro | Score19.1% | Versus best verified row Best verified: Claude Mythos 5 · 80.3% | Gap61.2 behind | WeightWeighted 10% | Provider exact |
| SWE Multilingual | Score30.8% | Versus best verified row Best verified: Claude Opus 5 · 89.5% | Gap58.7 behind | WeightDisplay only | Provider exact |
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score20.6% | Versus best verified row Best verified: GLM-5.3 · 88.2% | Gap67.6 behind | WeightDisplay only | Provider exact |
| LiveCodeBench v6 | Score73.2% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.2% | Gap20 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score20.6% | Versus best verified row Best verified: GLM-5.3 · 88.2% | Gap67.6 behind | WeightDisplay only | Provider exact |
| τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation | Score58.1% | Versus best verified row Best verified: Mistral Medium 3.5 128B · 91.4% | Gap33.3 behind | WeightDisplay only | Provider exact |
| BFCL v4Berkeley Function Calling Leaderboard v4 | Score52.4% | Versus best verified row Best verified: Qwen3.7 Max · 75.0% | Gap22.6 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MMLU-ProMassive Multitask Language Understanding Professional | Score74.0% | Versus best verified row Best verified: Qwen3.7 Max · 89.6% | Gap15.6 behind | WeightWeighted 30% | Provider exact |
| GPQAGraduate-Level Google-Proof Q&A | Score64.1% | Versus best verified row Best verified: Sakana Fugu-Ultra · 95.5% | Gap31.4 behind | WeightWeighted 7% | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| AIME 2025American Invitational Mathematics Examination 2025 | Score86.7% | Versus best verified row Best verified: MAI-Thinking-1 · 97% | Gap10.3 behind | WeightDisplay only | Provider exact |
| HMMT Feb 2025Harvard-MIT Mathematics Tournament February 2025 | Score78.3% | Versus best verified row Best verified: Qwen3.6 Plus · 96.7% | Gap18.4 behind | WeightDisplay only | Provider exact |
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score79.3% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap5.7 behind | WeightWeighted 65% | Provider exact |
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Aug 25, 2026 · you are here
Granite 4.2 8BScore 46.9 · Price not listed
8b-dense · 8B
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Granite 4.2 8B ranks #162 of 228 on the public leaderboard with a score of 46.88/100. It does not yet have enough sourced coverage for a verified position.
Granite 4.2 8B is a open weight model with a 128K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
IBM publishes the dense 8B BF16 checkpoint under Apache 2.0 for self-hosted inference. OpenRouter exposes the exact ibm-granite/granite-4.2-8b route with a 131,072-token context window, optional reasoning, structured output, and tool calling. IBM also documents an opt-in long-context extension to 512K; the catalog stores the native and hosted-route 128K limit.
14 of 408 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Instruction Following at #17, while its lowest eligible position is Coding at #107. a well-rounded choice across a range of tasks.
IBM · Model release
Radar confirmed these at the source. Already tracking Granite 4.2 8B? See the free Radar Brief for what changes next.
Granite 4.2 8B ranks #162 out of 228 models on the public BenchAlign leaderboard, with a score of 46.88/100. Its evidence status is Estimated, and this profile shows 14 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Granite 4.2 8B has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Granite 4.2 8B ranks #107 out of 147 eligible models for coding and programming, with a public category score of 46.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Granite 4.2 8B has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Granite 4.2 8B ranks #93 out of 142 eligible models for agentic tool use and computer tasks, with a public category score of 44.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Granite 4.2 8B ranks #17 out of 43 eligible models for instruction following, with a public category score of 87.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Granite 4.2 8B is an open-weight model from IBM. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
No. Granite 4.2 8B currently has 27 source-displayable rows across 408 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
Granite 4.2 8B has a documented context window of 128K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Related resources
Last updated August 31, 2026. Runtime fields remain blank until a sourced snapshot exists.
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