IBMLanguage modelOpen weights

Granite 4.2 30B

Granite 4.2 30B has no overall index value yet because there are too few independent benchmark results.

PopularityRank 123 of 875

49out of 100-1 vs. last month

Summary

Granite 4.2 30B receives a second supervised fine-tuning phase specifically for agentic coding. IBM increases the share of code and software-engineering data while retaining part of the original training mix. Like 8B, it then completes the agent block for software, terminal, and search tasks.

At 30 billion parameters, it is the largest of the three Granite 4.2 variants. IBM releases the weights under Apache 2.0.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 33 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

CritPt v2: Overall (Show measurement, test conditions, and source)

Source value: 0.28571428571428603
Score: 0.28571428571428603
Metric: pass@1 accuracy
Unit: %
Benchmark version: v2
Category: reasoning
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: disputed
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Source model ID: artificial-analysis/1071dea1-43e7-4fe9-b936-3034bb622b2e/granite-4-2-30b/granite-4-2-30b. Source model name: Granite 4.2 30B. Provider reported by source: IBM. Model snapshot: Granite 4.2 30B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled. Score display: 0.3%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-critpt-v2:v2:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled
Context: This AA source field contains the original CritPt score. The earlier CritPt v2 attribution was incorrect; the value and former label remain as disputed historical evidence.. The source dataset marks this result as disputed. It remains visible as documented evidence, but is not reliable comparative proof.

Source Artificial Analysis

AA-Omniscience Accuracy: Overall (Show measurement, test conditions, and source)

Source value: 11.233333333333333
Score: 11.233333333333333
Metric: AA-Omniscience Accuracy
Unit: %
Benchmark version: AA Omniscience diagnostic
Category: knowledge
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: superseded
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Source model ID: artificial-analysis/1071dea1-43e7-4fe9-b936-3034bb622b2e/granite-4-2-30b/granite-4-2-30b. Source model name: Granite 4.2 30B. Provider reported by source: IBM. Model snapshot: Granite 4.2 30B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Score display: 11.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-omniscience-accuracy:AA Omniscience diagnostic:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled
Context: This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.. This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

AA-Omniscience Accuracy: Overall (Show measurement, test conditions, and source)

Source value: 11.233333333333333
Score: 11.233333333333333
Metric: AA-Omniscience Accuracy
Unit: %
Benchmark version: AA Omniscience diagnostic
Category: knowledge
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Source model ID: artificial-analysis/1071dea1-43e7-4fe9-b936-3034bb622b2e/granite-4-2-30b/granite-4-2-30b. Source model name: Granite 4.2 30B. Provider reported by source: IBM. Model snapshot: Granite 4.2 30B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Score display: 11.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-omniscience-accuracy:AA Omniscience diagnostic:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled
Context: This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.

Source Artificial Analysis

AA-Omniscience Hallucination Rate: Overall (Show measurement, test conditions, and source)

Source value: 26.661659782200527
Score: 26.661659782200527
Metric: AA-Omniscience Hallucination Rate
Unit: %
Benchmark version: AA Omniscience diagnostic
Category: knowledge
Task: overall
Task label: Overall
Direction: Lower is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: superseded
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).. Source model ID: artificial-analysis/1071dea1-43e7-4fe9-b936-3034bb622b2e/granite-4-2-30b/granite-4-2-30b. Source model name: Granite 4.2 30B. Provider reported by source: IBM. Model snapshot: Granite 4.2 30B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Score display: 26.7%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-omniscience-hallucination-rate:AA Omniscience diagnostic:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled
Context: This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.. This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

AA-Omniscience Hallucination Rate: Overall (Show measurement, test conditions, and source)

Source value: 26.661659782200527
Score: 26.661659782200527
Metric: AA-Omniscience Hallucination Rate
Unit: %
Benchmark version: AA Omniscience diagnostic
Category: knowledge
Task: overall
Task label: Overall
Direction: Lower is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).. Source model ID: artificial-analysis/1071dea1-43e7-4fe9-b936-3034bb622b2e/granite-4-2-30b/granite-4-2-30b. Source model name: Granite 4.2 30B. Provider reported by source: IBM. Model snapshot: Granite 4.2 30B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Score display: 26.7%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-omniscience-hallucination-rate:AA Omniscience diagnostic:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled
Context: This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.

Source Artificial Analysis

HMMT Feb25 (Show measurement, test conditions, and source)

Source value: 89.17
Score: 89.17
Metric: percent
Unit: %
Direction: Higher is better
Source type: vendor-reported
Evaluator: IBM Granite 4.2 model card
Status: active
Retrieved at: 2026-10-17
Methodology: Vendor-reported result. Exact DENSE checkpoint column in the pinned IBM Granite 4.2 model card. The vendor describes the evaluation framework as based on the NeMo Evaluator SDK.
Context: The source does not state N or a confidence interval for this individual result. The source does not identify a more specific score metric. The source does not state a benchmark-suite version.

Source IBM Granite 4.2 model card

MMLU-ProX lite (IBM) (Show measurement, test conditions, and source)

Source value: 66.64
Score: 66.64
Metric: percent
Unit: %
Direction: Higher is better
Source type: vendor-reported
Evaluator: IBM Granite 4.2 model card
Status: active
Retrieved at: 2026-10-17
Methodology: Vendor-reported result. Exact DENSE checkpoint column in the pinned IBM Granite 4.2 model card. The vendor describes the evaluation framework as based on the NeMo Evaluator SDK.
Context: The source does not state N or a confidence interval for this individual result. The source does not identify a more specific score metric. The source does not state a benchmark-suite version.

Source IBM Granite 4.2 model card

Arena-Hard-V2 (Show measurement, test conditions, and source)

Source value: 67.93
Score: 67.93
Metric: percent
Unit: %
Direction: Higher is better
Source type: vendor-reported
Evaluator: IBM Granite 4.2 model card
Status: active
Retrieved at: 2026-10-17
Methodology: Vendor-reported result. Exact DENSE checkpoint column in the pinned IBM Granite 4.2 model card. The vendor describes the evaluation framework as based on the NeMo Evaluator SDK.
Context: The source does not state N or a confidence interval for this individual result. The source does not identify a more specific score metric. The source does not state a benchmark-suite version.

Source IBM Granite 4.2 model card

GDPval-AA: Overall (Show measurement, test conditions, and source)

Source value: 582.87
Score: 582.87
Metric: GDPval-AA Elo
Unit: Elo
Benchmark version: v2.1
Category: agentic
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: superseded
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/1071dea1-43e7-4fe9-b936-3034bb622b2e/granite-4-2-30b/granite-4-2-30b. Source model name: Granite 4.2 30B. Provider reported by source: IBM. Model snapshot: Granite 4.2 30B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled
Context: This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

GDPval-AA: Overall (Show measurement, test conditions, and source)

Source value: 583.27
Score: 583.27
Metric: GDPval-AA Elo
Unit: Elo
Benchmark version: v2.1
Category: agentic
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: superseded
Retrieved at: 2026-10-29
Methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/1071dea1-43e7-4fe9-b936-3034bb622b2e/granite-4-2-30b/granite-4-2-30b. Source model name: Granite 4.2 30B. Provider reported by source: IBM. Model snapshot: Granite 4.2 30B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-29-5a1b1cf41cd1. Source payload hash: 5a1b1cf41cd14d4fa7e1b5c737732505ff7f014395c8a19ff9385c13df09b106. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-10-29. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled
Context: This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

GDPval-AA: Overall (Show measurement, test conditions, and source)

Source value: 582.87
Score: 582.87
Metric: GDPval-AA Elo
Unit: Elo
Benchmark version: v2.1
Category: agentic
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/1071dea1-43e7-4fe9-b936-3034bb622b2e/granite-4-2-30b/granite-4-2-30b. Source model name: Granite 4.2 30B. Provider reported by source: IBM. Model snapshot: Granite 4.2 30B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 30B (release granite-4-2-30b, row granite-4-2-30b, UUID 1071dea1-43e7-4fe9-b936-3034bb622b2e, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled

Source Artificial Analysis

SWE-bench Multilingual (Show measurement, test conditions, and source)

Source value: 41.89
Score: 41.89
Metric: SWE-bench Multilingual reported score
Unit: No unit provided
Category: source-specific
Direction: Higher is better
Source type: vendor-reported
Evaluator: Provider model card
Status: active
Retrieved at: 2026-10-04
Methodology: Vendor-reported result. IBM official technical breakdown.
Context: Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.

Source Provider model card

Page 1 of 3

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 100 models

GPT-573

DeepSeek V4.1 Flash 101768

Kimi K368

DiffusionGemma 26B A4B IT63

Granite 4.2 30B49

DeepSeek V4.1 Flash 1017

DiffusionGemma 26B A4B IT

Claude Opus 5

Qwen 3.8 Flash

Granite 4.2 30B

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 5, 2026

Granite 4.2 30BLaguna M.1Nemotron 3.5 LightningDeepSeek-V3 0324Laguna XS.2

All specifications

Architecture

Parameters: 30 billion; Source: Parameters
Model class: Language model for agentic workflows; Source: Model class

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking: Unknown; no source
Watermarking technique: Not known; no source

Licence and access

License: Apache 2.0; Source: License
Access: Open weights for local deployment; Source: Access

Frequently asked questions about Granite 4.2 30B

Can I run Granite 4.2 30B locally?

Yes, the weights are open.

Stated by IBM

Open weights: yes
License: Apache 2.0
Parameters: 30B
active per token: n/a

Sources and data date

Show all 15 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

Evaluator	Test series	Composite indices	Recorded active measurements
Artificial Analysis	2	0	3

Without vendor claims and historical or disputed results; those stay labelled in the single values.

Type	Evidence and data date
Research status	Research date October 4, 2026. 5 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Additional source	IBM Granite 4.2 announcement (retrieved October 3, 2026) · IBM Granite 4.2 announcement · Editorial description reviewed October 4, 2026
Additional source	IBM Granite 4.2 technical report (retrieved October 4, 2026) · IBM Granite 4.2 technical report · Editorial description reviewed October 4, 2026
Additional source	Artificial Analysis (retrieved November 2, 2026)
Additional source	Artificial Analysis (retrieved October 29, 2026; November 2, 2026; November 6, 2026)
Additional source	Artificial Analysis (retrieved November 2, 2026; November 6, 2026)
Additional source	IBM Granite 4.2 model card (retrieved October 17, 2026)
Additional source	IBM Granite product page (retrieved October 19, 2026)
Additional source	Michael Mulqueen (retrieved October 19, 2026)
Additional source	Model metadata (retrieved October 17, 2026)
Additional source	OpenRouter: Popularity index (derived), CC BY 4.0
Additional source	Vercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional source	Ollama: cumulative downloads for the popularity index
Additional source	Replicate: cumulative runs for the popularity index
Additional source	Google Trending Now: limited feed selection for Germany and the US
Additional source	Creative Commons Attribution 4.0