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Granite 4.2 8B vs Step 5 Preview

Step 5 Preview leads Granite 4.2 8B on the Artificial Analysis Intelligence Index, 43.7 to 11.1, and Granite 4.2 8B costs 13.5x less per output token ($0.20 vs $2.70 per million). Updated October 22, 2026; 24 benchmarks have a result for both.

Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
0
Step 5 PreviewStepFun
Coding
61.1
Overall
60.5
Output $/M
$2.70
24
vs boards won of 24 shared

Granite 4.2 8B or Step 5 Preview: which to pick

Only Step 5 Preview has a coding score, 61.1 on the Vibe Coding Index; Granite 4.2 8B has none, so the two cannot be ranked on coding.

Pick Granite 4.2 8B for output tokens 13.5x cheaper ($0.20 vs $2.70 per million).

Shared results
24
Granite 4.2 8B only
3
Step 5 Preview only
37
Like-for-like categories
5 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Granite 4.2 8B not benchmarked, Step 5 Preview 61.1 from 4 benchmarks.
Widest category
Intelligence, 32.6 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Granite 4.2 8B 45.0% against Step 5 Preview 88.3%, 43.3 points apart on a 0 to 100 scale.
Output price
Granite 4.2 8B $0.20 against Step 5 Preview $2.70 per million output tokens, 13.5x apart.
Context window
Granite 4.2 8B takes 131K tokens, Step 5 Preview 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGranite 4.2 8BBarsStep 5 PreviewTies
Coding03
Intelligence01
Reasoning04
Knowledge04
General012
All shared boards024
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Granite 4.2 8B and Step 5 Preview
BenchmarkGranite 4.2 8BStep 5 PreviewLeader
LiveBench codingNot measured85.6%Only Step 5 Preview measured
LMArena WebDevNot measured1567Only Step 5 Preview measured
AA Coding Index22.4Not measuredOnly Granite 4.2 8B measured
Terminal-Bench 4 (Vals AI)Not measured31.8%Only Step 5 Preview measured
Vibe Code Bench (Vals AI)Not measured70.4%Only Step 5 Preview measured
Code migration (Vals AI)Not measured39.0%Only Step 5 Preview measured
IOI (Vals AI)Not measured38.1%Only Step 5 Preview measured
SWE-bench Multimodal (Vals AI)Not measured40.8%Only Step 5 Preview measured
SciCode31.5%58.9%Step 5 Preview
LMArena Text: coding13781485Step 5 Preview
LMArena Text: software and IT13671473Step 5 Preview
LMArena WebDev: ReactNot measured1583Only Step 5 Preview measured
LMArena WebDev: HTMLNot measured1556Only Step 5 Preview measured
LMArena WebDev: from an imageNot measured1550Only Step 5 Preview measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Granite 4.2 8B and Step 5 Preview
BenchmarkGranite 4.2 8BStep 5 PreviewLeader
AA Intelligence Index11.143.7Step 5 Preview
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Granite 4.2 8B and Step 5 Preview
BenchmarkGranite 4.2 8BStep 5 PreviewLeader
AA Agentic Index1.3Not measuredOnly Granite 4.2 8B measured
LiveBench researchNot measured72.8%Only Step 5 Preview measured
LiveBench browserNot measured24.0%Only Step 5 Preview measured
LiveBench long agenticNot measured27.5%Only Step 5 Preview measured
SREBench (Vals AI)Not measured0.4%Only Step 5 Preview measured
Finance Agent (Vals AI)Not measured50.7%Only Step 5 Preview measured
Tax Agent Bench (Vals AI)Not measured27.3%Only Step 5 Preview measured
Legal Research Bench (Vals AI)Not measured40.4%Only Step 5 Preview measured
Excel Modeling Benchmark (Vals AI)Not measured57.1%Only Step 5 Preview measured
BioMysteryBench (Vals AI)Not measured67.4%Only Step 5 Preview measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only Step 5 Preview measured
Vals Science IndexNot measured29.6%Only Step 5 Preview measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for Granite 4.2 8B and Step 5 Preview
BenchmarkGranite 4.2 8BStep 5 PreviewLeader
LiveBench reasoningNot measured83.8%Only Step 5 Preview measured
MysteryMechanism (Vals AI)Not measured18.5%Only Step 5 Preview measured
GPQA Diamond (Artificial Analysis run)63.1%Not measuredOnly Granite 4.2 8B measured
Humanity's Last Exam (Artificial Analysis run)9.7%46.5%Step 5 Preview
LMArena Text: hard prompts13271461Step 5 Preview
LMArena Text: expert13861485Step 5 Preview
LMArena Text: hard prompts in English13451454Step 5 Preview
LMArena Vision: diagramsNot measured1308Only Step 5 Preview measured
LMArena Vision: homeworkNot measured1265Only Step 5 Preview measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Granite 4.2 8B and Step 5 Preview
BenchmarkGranite 4.2 8BStep 5 PreviewLeader
ProofBenchNot measured42.0%Only Step 5 Preview measured
LMArena Text: mathNot measured1458Only Step 5 Preview measured
LMArena Text: mathematical workNot measured1460Only Step 5 Preview measured
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Granite 4.2 8B and Step 5 Preview
BenchmarkGranite 4.2 8BStep 5 PreviewLeader
LMArena Text: science13361454Step 5 Preview
LMArena Text: medicine and healthcare13361439Step 5 Preview
LMArena Text: legal and government13271437Step 5 Preview
LMArena Text: business and finance13221435Step 5 Preview
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Granite 4.2 8B and Step 5 Preview
BenchmarkGranite 4.2 8BStep 5 PreviewLeader
LiveBench designNot measured76.9%Only Step 5 Preview measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for Granite 4.2 8B and Step 5 Preview
BenchmarkGranite 4.2 8BStep 5 PreviewLeader
LiveBench data analysisNot measured63.5%Only Step 5 Preview measured
Public Benefits Bench (Vals AI)Not measured58.1%Only Step 5 Preview measured
Long context reasoning (AA-LCR)45.0%88.3%Step 5 Preview
LMArena Text13191440Step 5 Preview
LMArena Text: instruction following13001438Step 5 Preview
LMArena Text: creative writing12361409Step 5 Preview
LMArena VisionNot measured1265Only Step 5 Preview measured
LMArena Text: English13371447Step 5 Preview
LMArena Text: non-English13011428Step 5 Preview
LMArena Text: Chinese13671500Step 5 Preview
LMArena Text: JapaneseNot measured1383Only Step 5 Preview measured
LMArena Text: FrenchNot measured1438Only Step 5 Preview measured
LMArena Text: SpanishNot measured1441Only Step 5 Preview measured
LMArena Text: Russian12821433Step 5 Preview
LMArena Text: multi-turn13011437Step 5 Preview
LMArena Text: longer queries13251449Step 5 Preview
LMArena Text: writing and language12691425Step 5 Preview
LMArena Text: entertainment and media12711412Step 5 Preview
LMArena Vision: EnglishNot measured1290Only Step 5 Preview measured
LMArena Vision: reading textNot measured1282Only Step 5 Preview measured
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Granite 4.2 8B and Step 5 Preview
BenchmarkGranite 4.2 8BStep 5 PreviewLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Granite 4.2 8B$0.0002Fits in one request
Step 5 Preview$0.0024Fits in one request

Granite 4.2 8B costs less

Repository review

50K input + 3K output tokens

Granite 4.2 8B$0.0046Fits in one request
Step 5 Preview$0.058Fits in one request

Granite 4.2 8B costs less

Agent loop

200K input + 10K output tokens

Granite 4.2 8B$0.018Exceeds the context window
Step 5 Preview$0.227Fits in one request

Granite 4.2 8B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Granite 4.2 8B and Step 5 Preview
SpecificationIBM Granite 4.2 8BStepFun Step 5 Preview
MakerIBM GraniteStepFun
WeightsOpen weightsOpen weights
ReleasedAugust 31, 2026October 8, 2026
Context window131K1.05M
Input $/Mtok$0.08$1.00
Output $/Mtok$0.20$2.70
Coding indexNot benchmarked61.1
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Granite 4.2 8B better than Step 5 Preview for coding?

Only Step 5 Preview has a coding score, 61.1 on the Vibe Coding Index; Granite 4.2 8B has none, so the two cannot be ranked on coding. Pick Granite 4.2 8B for output tokens 13.5x cheaper ($0.20 vs $2.70 per million).

Which is cheaper, Granite 4.2 8B or Step 5 Preview?

Granite 4.2 8B costs $0.08 per million input tokens and $0.20 per million output tokens; Step 5 Preview costs $1.00 and $2.70. Cost per solved task is known for neither of them.

Which has the bigger context window, Granite 4.2 8B or Step 5 Preview?

Step 5 Preview, with 1.05M tokens against 131K.

How many benchmarks is the Granite 4.2 8B vs Step 5 Preview comparison based on?

24 benchmarks have a result for both models as of October 22, 2026. Granite 4.2 8B's coding index rests on 0 independent benchmarks and Step 5 Preview's on 4. Where only one model has a result, the page says so instead of naming a winner.

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