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Data

Data as of October 25, 2026 · How the score is built

Granite 4.2 30B

Decision readingGranite 4.2 30B is tracked, but not publicly ranked yet. The profile exposes 14 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Aug 25, 2026 — see all recent releases

Decision snapshot

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

Unranked

field median 50Not eligible for a public rank

Price

Self-hosted; infrastructure cost varies

input median $0.75No comparable first-party hosted token rate

Speed

Not measured

field median 96 tok/sTime to first token not measured

Context

128Ktokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

14 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Source-linked · 14 displayable benchmark rows

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%3 benchmarksVerified
Score pending
CodingRank Not rankedWeight 20%6 benchmarksVerified
23.3
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank Not rankedWeight 12%2 benchmarksVerified
31.3
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingRank Not rankedWeight 5%1 benchmarkVerified
81.5
MathWeight 5%2 benchmarksVerified
Score pending

14 of 766 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

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.

  1. Agentic3/3 verified
  2. Coding6/6 verified
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. Knowledge2/2 verified
  6. MultilingualNot measured
  7. Inst. Following1/1 verified
  8. Math2/2 verified
Verified sourceProvisionalNot measured

Benchmark ledger

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.

Coding6 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore33.3%Versus best verified row

Best verified: Claude Opus 5.5 · 89.9%

Gap56.6 behindWeightDisplay only
SciCodeScientific Code BenchmarkScore38.8%Versus best verified row

Best verified: Sakana Fugu · 60.1%

Gap21.3 behindWeightDisplay only
SWE MultilingualScore41.9%Versus best verified row

Best verified: Claude Opus 5.5 · 93.9%

Gap52 behindWeightDisplay only
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore57%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap39 behindWeightDisplay only
Terminal-Bench 2.1Score29.2%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap63.6 behindWeightDisplay only
LiveCodeBench v6Score75.8%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.2%

Gap17.4 behindWeightDisplay only
Agentic3 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1Score29.2%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap63.6 behindWeightDisplay only
BFCL v4Berkeley Function Calling Leaderboard v4Score61.4%Versus best verified row

Best verified: BTL-3 · 88.5%

Gap27.1 behindWeightDisplay only
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore62.0%Versus best verified row

Best verified: Mercury 2.5 · 96.0%

Gap34 behindWeightDisplay only
Knowledge2 rows
Knowledge benchmark values, best verified comparison, weight, and source status
MMLU-ProMassive Multitask Language Understanding ProfessionalScore77.6%Versus best verified row

Best verified: Qwen3.7 Max · 89.6%

Gap12 behindWeightDisplay only
GPQAGraduate-Level Google-Proof Q&AScore66.4%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap29.6 behindWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore77.2%Versus best verified row

Best verified: Flint · 89.2%

Gap12 behindWeightDisplay only
Math2 rows
Math benchmark values, best verified comparison, weight, and source status
AIME 2025American Invitational Mathematics Examination 2025Score89.2%Versus best verified row

Best verified: GPT-5.2 · 100%

Gap10.8 behindWeightDisplay only
HMMT Feb 2025Harvard-MIT Mathematics Tournament February 2025Score89.2%Versus best verified row

Best verified: GLM-4.7 · 97.1%

Gap7.9 behindWeightDisplay only

Bars run 0–100; the dark tick marks the best source-verified value

All 14 rows

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Aug 25, 2026 · you are here

    Granite 4.2 30B

    Not publicly ranked · Price not listed

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
ibm-granite/granite-4.2-30bIBM Granite 4.2 30B model card
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
IBM publishes the dense 30B flagship reasoning checkpoint under Apache 2.0 on Hugging Face (BF16 plus FP8, MXFP4, NVFP4, GGUF, and MLX editions) with a native 128K context and an opt-in 512K extension.
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordIBM Granite 4.2 30B model card
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Granite 4.2 30B, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Granite 4.2 30B 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 30B flagship reasoning checkpoint under Apache 2.0 on Hugging Face (BF16 plus FP8, MXFP4, NVFP4, GGUF, and MLX editions) with a native 128K context and an opt-in 512K extension.

Granite 4.2 30B sits in the Granite 4.2 family with Granite 4.2 8B, Granite 4.2 3B. 14 of 766 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

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 parameters

Questions

How does Granite 4.2 30B perform overall in AI benchmarks?

Granite 4.2 30B has 14 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is Granite 4.2 30B good for knowledge and understanding?

Granite 4.2 30B 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.

Is Granite 4.2 30B good for coding and programming?

Granite 4.2 30B has source-displayable benchmark coverage for coding and programming, 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.

Is Granite 4.2 30B good for mathematics?

Granite 4.2 30B 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.

Is Granite 4.2 30B good for agentic tool use and computer tasks?

Granite 4.2 30B has source-displayable benchmark coverage for agentic tool use and computer tasks, 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.

Is Granite 4.2 30B good for instruction following?

Granite 4.2 30B has source-displayable benchmark coverage for instruction following, 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.

Is Granite 4.2 30B open source?

Granite 4.2 30B 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.

Which sibling models are related to Granite 4.2 30B?

Granite 4.2 30B belongs to the Granite 4.2 family. Related tracked variants include Granite 4.2 8B, Granite 4.2 3B. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does Granite 4.2 30B have full benchmark coverage on BenchLM?

No. Granite 4.2 30B currently has 25 source-displayable rows. 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.

What is the context window size of Granite 4.2 30B?

Granite 4.2 30B 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.

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Compare Granite 4.2 30B with every tracked model991 comparisons