Enter opens the highlighted result. Esc closes.

Granite 4.2 8B vs Hy3 preview

Hy3 preview leads Granite 4.2 8B on the Artificial Analysis Intelligence Index, 25.3 to 11.1, and Granite 4.2 8B costs 3.0x less per output token ($0.20 vs $0.60 per million). Updated October 22, 2026; 26 benchmarks have a result for both.

Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
0
Hy3 previewTencent
Coding
No data
Overall
No data
Output $/M
$0.60
26
vs boards won of 26 shared

Granite 4.2 8B or Hy3 preview: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Granite 4.2 8B for output tokens 3.0x cheaper ($0.20 vs $0.60 per million) and work measured by AA Coding Index or LMArena Text: coding, where it leads.

Shared results
26
Granite 4.2 8B only
1
Hy3 preview only
10
Like-for-like categories
6 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, Hy3 preview not benchmarked.
Widest category
Agentic work, 22.8 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: Granite 4.2 8B 22.4 against Hy3 preview 58.8, 36.4 points apart on a 0 to 100 scale.
Output price
Granite 4.2 8B $0.20 against Hy3 preview $0.60 per million output tokens, 3.0x apart.
Context window
Granite 4.2 8B takes 131K tokens, Hy3 preview 262K.

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 8BBarsHy3 previewTies
Coding03
Intelligence01
Agentic work01
Reasoning05
Knowledge04
General012
All shared boards026
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Granite 4.2 8B and Hy3 preview
BenchmarkGranite 4.2 8BHy3 previewLeader
LMArena WebDevNot measured1357Only Hy3 preview measured
AA Coding Index22.458.8Hy3 preview
SciCode31.5%Not measuredOnly Granite 4.2 8B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.1%Only Hy3 preview measured
LMArena Text: coding13781421Hy3 preview
LMArena Text: software and IT13671423Hy3 preview
LMArena WebDev: ReactNot measured1349Only Hy3 preview measured
LMArena WebDev: HTMLNot measured1356Only Hy3 preview measured
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Granite 4.2 8B and Hy3 preview
BenchmarkGranite 4.2 8BHy3 previewLeader
AA Intelligence Index11.125.3Hy3 preview
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Granite 4.2 8B and Hy3 preview
BenchmarkGranite 4.2 8BHy3 previewLeader
AA Agentic Index1.324.1Hy3 preview
τ²-Bench TelecomNot measured92.7%Only Hy3 preview measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Granite 4.2 8B and Hy3 preview
BenchmarkGranite 4.2 8BHy3 previewLeader
GPQA Diamond (Artificial Analysis run)63.1%86.7%Hy3 preview
Humanity's Last Exam (Artificial Analysis run)9.7%27.8%Hy3 preview
LMArena Text: hard prompts13271413Hy3 preview
LMArena Text: expert13861422Hy3 preview
LMArena Text: hard prompts in English13451416Hy3 preview
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Granite 4.2 8B and Hy3 preview
BenchmarkGranite 4.2 8BHy3 previewLeader
LMArena Text: mathNot measured1424Only Hy3 preview measured
LMArena Text: mathematical workNot measured1442Only Hy3 preview measured
Neither model has a result on the other 12 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Granite 4.2 8B and Hy3 preview
BenchmarkGranite 4.2 8BHy3 previewLeader
LMArena Text: science13361416Hy3 preview
LMArena Text: medicine and healthcare13361405Hy3 preview
LMArena Text: legal and government13271430Hy3 preview
LMArena Text: business and finance13221397Hy3 preview
Neither model has a result on the other 16 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Granite 4.2 8B and Hy3 preview
BenchmarkGranite 4.2 8BHy3 previewLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for Granite 4.2 8B and Hy3 preview
BenchmarkGranite 4.2 8BHy3 previewLeader
IFBenchNot measured63.1%Only Hy3 preview measured
Long context reasoning (AA-LCR)45.0%64.7%Hy3 preview
LMArena Text13191401Hy3 preview
LMArena Text: instruction following13001383Hy3 preview
LMArena Text: creative writing12361339Hy3 preview
LMArena Text: English13371409Hy3 preview
LMArena Text: non-English13011390Hy3 preview
LMArena Text: Chinese13671435Hy3 preview
LMArena Text: FrenchNot measured1425Only Hy3 preview measured
LMArena Text: SpanishNot measured1399Only Hy3 preview measured
LMArena Text: Russian12821399Hy3 preview
LMArena Text: multi-turn13011411Hy3 preview
LMArena Text: longer queries13251402Hy3 preview
LMArena Text: writing and language12691370Hy3 preview
LMArena Text: entertainment and media12711352Hy3 preview
Neither model has a result on the other 33 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 Hy3 preview
BenchmarkGranite 4.2 8BHy3 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
Hy3 preview$0.0005Fits 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
Hy3 preview$0.011Fits 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
Hy3 preview$0.042Fits 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 Hy3 preview
SpecificationIBM Granite 4.2 8BTencent Hy3 preview
MakerIBM GraniteTencent
WeightsOpen weightsOpen weights
ReleasedAugust 31, 2026April 22, 2026
Context window131K262K
Input $/Mtok$0.08$0.18
Output $/Mtok$0.20$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Granite 4.2 8B better than Hy3 preview for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Granite 4.2 8B for output tokens 3.0x cheaper ($0.20 vs $0.60 per million) and work measured by AA Coding Index or LMArena Text: coding, where it leads.

Which is cheaper, Granite 4.2 8B or Hy3 preview?

Granite 4.2 8B costs $0.08 per million input tokens and $0.20 per million output tokens; Hy3 preview costs $0.18 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Granite 4.2 8B or Hy3 preview?

Hy3 preview, with 262K tokens against 131K.

How many benchmarks is the Granite 4.2 8B vs Hy3 preview comparison based on?

26 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 Hy3 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next