IBMLanguage modelOpen weights

Granite 4.2 3B

Granite 4.2 3B has no overall index value yet because there are too few independent benchmark results.

PopularityRank 116 of 875

49out of 100-1 vs. last month

Summary

Granite 4.2 3B follows a shorter training schedule than 8B and 30B in IBM’s new series. The compact version receives reasoning and coding training but skips their additional agent block covering software, terminal, and search tasks.

IBM releases this dense 3-billion-parameter model under Apache 2.0. Like the larger variants, it can switch between answers with and without a thinking process.

All benchmark results

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

Show all 53 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.

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

Source value: 0.3767979122295127
Score: 0.3767979122295127
Metric: Objectives completed without guardrail violations
Unit: %
Benchmark version: AA private 657-task split of AutomationBench v1.0.6
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Status: superseded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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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.. Source model ID: artificial-analysis/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.4%. 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-automationbench-aa:AA private 657-task split of AutomationBench v1.0.6:v5.0:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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.. Reasoning: reasoning enabled
Context: This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

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

Source value: 0.3767979122295127
Score: 0.3767979122295127
Metric: Objectives completed without guardrail violations
Unit: %
Benchmark version: AA private 657-task split of AutomationBench v1.0.6
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.4%. 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-automationbench-aa:AA private 657-task split of AutomationBench v1.0.6:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled

Source Artificial Analysis

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

Source value: 0
Score: 0
Metric: pass@1 accuracy
Unit: %
Benchmark version: v2 hard subset
Category: reasoning
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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.. Source model ID: artificial-analysis/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.0%. 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-hard-subset:v2 hard subset:v5.0:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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.. Reasoning: reasoning enabled
Context: This is the 40-question hard subset of CritPt v2, not the full 70-question CritPt v2 run.. This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

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

Source value: 0
Score: 0
Metric: pass@1 accuracy
Unit: %
Benchmark version: v2 hard subset, November 2026 grading
Category: reasoning
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.0%. 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-critpt-v2-hard-subset:v2 hard subset, November 2026 grading:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled
Context: This is the 40-question hard subset of CritPt v2, not the full 70-question CritPt v2 run.

Source Artificial Analysis

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

Source value: 0
Score: 0
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. 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: 0.0%. 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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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

FrontierCode: Overall (Show measurement, test conditions, and source)

Source value: 0
Score: 0
Metric: Mean score over three attempts per task
Unit: %
Benchmark version: 2.0
Category: coding
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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.. Source model ID: artificial-analysis/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.0%. 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-frontiercode-2-0:2.0:v5.0:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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.. Reasoning: reasoning enabled
Context: This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

FrontierCode: Overall (Show measurement, test conditions, and source)

Source value: 0
Score: 0
Metric: Mean score over three attempts per task
Unit: %
Benchmark version: 2.0
Category: coding
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.0%. 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-frontiercode-2-0:2.0:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled

Source Artificial Analysis

GDP.pdf: Overall (Show measurement, test conditions, and source)

Source value: 0.2
Score: 0.2
Metric: All-pass rate
Unit: %
Benchmark version: unspecified
Category: reasoning
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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.. Source model ID: artificial-analysis/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.2%. 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-gdp-pdf:unspecified:v5.0:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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.. Reasoning: reasoning enabled
Context: This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

GDP.pdf: Overall (Show measurement, test conditions, and source)

Source value: 0.2
Score: 0.2
Metric: All-pass rate
Unit: %
Benchmark version: unspecified
Category: reasoning
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.2%. 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-gdp-pdf:unspecified:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled

Source Artificial Analysis

HLE-Diamond: Overall (Show measurement, test conditions, and source)

Source value: 2.9000000000000004
Score: 2.9000000000000004
Metric: pass@1 accuracy
Unit: %
Benchmark version: Diamond
Category: general
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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.. Source model ID: artificial-analysis/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 2.9%. 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-hle-diamond:Diamond:v5.0:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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.. Reasoning: reasoning enabled
Context: This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

HLE-Diamond: Overall (Show measurement, test conditions, and source)

Source value: 2.9000000000000004
Score: 2.9000000000000004
Metric: pass@1 accuracy
Unit: %
Benchmark version: Diamond
Category: general
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 2.9%. 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-hle-diamond:Diamond:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: Granite 4.2 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled

Source Artificial Analysis

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

Source value: 9.2
Score: 9.2
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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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/0c64b008-20c3-408d-bd68-15136df8cd2c/granite-4-2-3b/granite-4-2-3b. Source model name: Granite 4.2 3B. Provider reported by source: IBM. Model snapshot: Granite 4.2 3B. 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: 9.2%. 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 3B (release granite-4-2-3b, row granite-4-2-3b, UUID 0c64b008-20c3-408d-bd68-15136df8cd2c, 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

Page 1 of 5

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 3B49

DeepSeek V4.1 Flash 1017

DiffusionGemma 26B A4B IT

Claude Opus 5

Qwen 3.8 Flash

Granite 4.2 3B

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

Over time

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

Granite 4.2 3BCommand RFlintQwen 3 8BQwen2.5-32B-Instruct

All specifications

Architecture

Parameters: 3 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 3B

Can I run Granite 4.2 3B locally?

Yes, the weights are open.

Stated by IBM

Open weights: yes
License: Apache 2.0
Parameters: 3B
active per token: n/a

Sources and data date

Show all 29 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	10	1	13

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. 9 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not published	sample-count-and-confidence-interval Original wording AA publishes neither a per-profile total executed N nor a confidence interval for this aggregate index. Methodology component task counts are not this model's measured N.
Unresolved	immutable-model-revision-and-reasoning-effort Original wording The page names the weights repository but no immutable commit or served revision, and does not disclose model-side reasoning effort.
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; November 6, 2026)1 2 3 4 5 6
Additional source	Artificial Analysis (retrieved November 2, 2026)1 2 3
Additional source	Artificial Analysis (retrieved November 6, 2026)1 2 3
Additional source	Artificial Analysis (retrieved October 29, 2026; November 2, 2026; November 6, 2026)
Additional source	Artificial Analysis (retrieved October 17, 2026; November 2, 2026; November 6, 2026)
Additional source	IBM Granite 4.2 model card (retrieved October 17, 2026)
Additional source	Artificial Analysis, granite 4 2 3b model page (retrieved October 17, 2026)
Additional source	OpenBMB MiniCPM5-2B model card (retrieved October 18, 2026)
Additional source	IBM Granite product page (retrieved October 19, 2026)
Additional source	Michael Mulqueen (retrieved October 19, 2026)
Additional source	AI Eval Corp, AIEval DoW Bench v1.1.1 results.json (retrieved October 21, 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