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Granite 4.2 8B

Released Aug 25, 2026 see all recent releases

Decision reading
Granite 4.2 8B scores 46.9 out of 100 and ranks #162 of 228. This profile shows 14 source-displayable benchmark rows; its strongest eligible category is Instruction Following at #17. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.

Data as of August 31, 2026 · How the score is built

Strongest published evidence

Instruction Following ranks #17. A well-rounded choice across a range of tasks.

Validate before choosing

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

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

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

Capability shape

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

  • Agentic35th percentile
  • Coding27th percentile
  • ReasoningNot eligible
  • KnowledgeNot eligible
  • MathNot eligible
  • MultilingualNot eligible
  • MultimodalNot eligible
  • Instruction following62nd percentile

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#93/142
  2. Coding#107/147
  3. ReasoningNot ranked
  4. KnowledgeNot ranked
  5. MathNot ranked
  6. MultilingualNot ranked
  7. MultimodalNot ranked
  8. Inst. Following#17/43
Top decileTop quartileMid-fieldNot eligible

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. Knowledge2/2 verified
  5. Math2/2 verified
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. Inst. Following1/1 verified
Verified sourceProvisionalNot measured

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-4.2-8bIBM Granite 4.2 8B 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 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.
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 8B model card
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

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

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
AgenticRank #93 of 142Percentile 35thWeight 22%3 benchmarksVerified44.4
CodingRank #107 of 147Percentile 27thWeight 20%6 benchmarksVerified46.8
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank Not rankedWeight 12%2 benchmarksVerified66.6
MathWeight 5%2 benchmarksVerifiedScore pending
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingRank #17 of 43Percentile 62ndWeight 5%1 benchmarkVerified87.8

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 VerifiedSoftware Engineering Benchmark VerifiedScore47.7%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap48.3 behindWeightWeighted 16%
SciCodeScientific Code BenchmarkScore36.1%Versus best verified row

Best verified: Sakana Fugu · 60.1%

Gap24 behindWeightWeighted 16%
SWE-bench ProScore19.1%Versus best verified row

Best verified: Claude Mythos 5 · 80.3%

Gap61.2 behindWeightWeighted 10%
SWE MultilingualScore30.8%Versus best verified row

Best verified: Claude Opus 5 · 89.5%

Gap58.7 behindWeightDisplay only
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score20.6%Versus best verified row

Best verified: GLM-5.3 · 88.2%

Gap67.6 behindWeightDisplay only
LiveCodeBench v6Score73.2%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.2%

Gap20 behindWeightDisplay only
Agentic3 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score20.6%Versus best verified row

Best verified: GLM-5.3 · 88.2%

Gap67.6 behindWeightDisplay only
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore58.1%Versus best verified row

Best verified: Mistral Medium 3.5 128B · 91.4%

Gap33.3 behindWeightDisplay only
BFCL v4Berkeley Function Calling Leaderboard v4Score52.4%Versus best verified row

Best verified: Qwen3.7 Max · 75.0%

Gap22.6 behindWeightDisplay only
Knowledge2 rows
Knowledge benchmark values, best verified comparison, weight, and source status
MMLU-ProMassive Multitask Language Understanding ProfessionalScore74.0%Versus best verified row

Best verified: Qwen3.7 Max · 89.6%

Gap15.6 behindWeightWeighted 30%
GPQAGraduate-Level Google-Proof Q&AScore64.1%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

Gap31.4 behindWeightWeighted 7%
Math2 rows
Math benchmark values, best verified comparison, weight, and source status
AIME 2025American Invitational Mathematics Examination 2025Score86.7%Versus best verified row

Best verified: MAI-Thinking-1 · 97%

Gap10.3 behindWeightDisplay only
HMMT Feb 2025Harvard-MIT Mathematics Tournament February 2025Score78.3%Versus best verified row

Best verified: Qwen3.6 Plus · 96.7%

Gap18.4 behindWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore79.3%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap5.7 behindWeightWeighted 65%

Lineage

The sequence follows explicit supersedes links. 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 8B

    Score 46.9 · Price not listed

8b-dense · 8B

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.

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.

Radar

Granite 4.2 8B release history

Full release history

Radar confirmed these at the source. Already tracking Granite 4.2 8B? See the free Radar Brief for what changes next.

Frequently asked questions

How does Granite 4.2 8B perform overall in AI benchmarks?

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.

Is Granite 4.2 8B good for knowledge and understanding?

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.

Is Granite 4.2 8B good for coding and programming?

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.

Is Granite 4.2 8B good for mathematics?

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.

Is Granite 4.2 8B good for agentic tool use and computer tasks?

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.

Is Granite 4.2 8B good for instruction following?

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.

Is Granite 4.2 8B open source?

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.

Does Granite 4.2 8B have full benchmark coverage on BenchLM?

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.

What is the context window size of Granite 4.2 8B?

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.

Compare Granite 4.2 8B with every tracked model400 comparisons

Last updated August 31, 2026. Runtime fields remain blank until a sourced snapshot exists.

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