BenchLeader

Granite 4.2 3B

Granite 4.2 3B is an IBM open-weights reasoning model, released 25 Aug 2026. Its best configuration ranks #519 of 775 on the BenchLeader Index at 44.8 ±4.6, in the lower half. The ± is the point: 301 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in knowledge (55) and lowest in agents & tools (33). At $0.053 per million tokens blended it is among the cheapest fifth of ranked models. Output speed of 51 tokens per second puts it slower than most, with a first answer in 39.7 s. Last measured 15 Oct 2026.

Blended price
$0.053/M
$0.030 in · $0.120 out
Output speed
51 tok/s
measured by Artificial Analysis
First answer
40 s
Context
131k
Full answer
49 s
median, reasoning included
Cost per run
$0.0060
one full Intelligence Index run
Released
25 Aug 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index45
  2. Reasoning43
  3. Coding50
  4. Agents & tools33
  5. Knowledge55
  6. Human preference44
  7. Long context36
  8. Composite40

Versions

IBM has shipped 2 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.

ModelReleasedIndexRank
Granite 4.2 3Bthis page25 Aug 202644.8#519
Granite 4.1 3B29 Apr 202639.2#682

How its index has moved

9 Sept 2026 to 20 Oct 2026
404652

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Metadata

Benchmarknot statedSourceTrend
AA Openness Indexnot in index72.2#20Artificial Analysis

Reasoning

Coding

Benchmarknot statedSourceTrend
Arena Coding1379#217Arena (LMArena)
SciCode (AA)not in index25.4%#216Artificial Analysis
Terminal-Bench 4.0 (AA)not in index0.0%#149Artificial Analysis
Terminal-Bench 2.1 (AA)not in index13.9%#182Artificial Analysis

Agents & tools

Benchmarknot statedSourceTrend
GDPval-AA v2.1not in index0.0%#218Artificial Analysis
τ³-Banking (AA)5.6%#173Artificial Analysis
AutomationBenchnot in index0.4%#208Artificial Analysis
GDP.pdf (AA)not in index0.2%#215Artificial Analysis
AA-Briefcase v1.1not in index98#58Artificial Analysis

Knowledge

Instruction following

Benchmarknot statedSourceTrend
Arena Instruction Followingnot in index1284#258Arena (LMArena)

Human preference

Benchmarknot statedSourceTrend
Arena Text1290#268Arena (LMArena)
Arena Creative Writingnot in index1206#297Arena (LMArena)
Arena Multi-turnnot in index1286#260Arena (LMArena)
Arena Longer Queriesnot in index1301#262Arena (LMArena)

Long context

Benchmarknot statedSourceTrend
AA-LCR24.3%#409Artificial Analysis

Composite

Benchmarknot statedSourceTrend
AA Intelligence Index v4.3.29.1#405Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0000–45.6 s
Summarize a 30-page report12,000 / 600$0.0004–51.4 s
Code edit6,000 / 1,500$0.0004–1.1 min
Agentic coding session60,000 / 4,000$0.0023–2.0 min
Structured extraction2,000 / 200$0.0001–43.6 s

More from IBM

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See also

Data as of 21 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Granite 4.2 3B: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/granite-4-2-3b, data as of 21 Oct 2026.