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Granite 4.2 8B vs Hy3

Granite 4.2 8B costs 2.6x less per output token than Hy3 ($0.20 vs $0.528 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
Hy3Tencent
Coding
No data
Overall
No data
Output $/M
$0.528
24
vs boards won of 24 shared

Granite 4.2 8B or Hy3: 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 2.6x cheaper ($0.20 vs $0.528 per million) and work measured by SciCode or LMArena Text: coding, where it leads.

Shared results
24
Granite 4.2 8B only
3
Hy3 only
20
Like-for-like categories
4 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 not benchmarked.
Widest category
General, 22.8 points apart on average over 12 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Granite 4.2 8B 45.0% against Hy3 79.0%, 34.0 points apart on a 0 to 100 scale.
Output price
Granite 4.2 8B $0.20 against Hy3 $0.528 per million output tokens, 2.6x apart.
Context window
Granite 4.2 8B takes 131K tokens, Hy3 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 8BBarsHy3Ties
Coding03
Reasoning05
Knowledge04
General012
All shared boards024
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Granite 4.2 8B and Hy3
BenchmarkGranite 4.2 8BHy3Leader
LMArena WebDevNot measured1507Only Hy3 measured
AA Coding Index22.4Not measuredOnly Granite 4.2 8B measured
SciCode31.5%48.6%Hy3
ALE-BenchNot measured838.6Only Hy3 measured
LMArena Text: coding13781466Hy3
LMArena Text: software and IT13671463Hy3
LMArena WebDev: ReactNot measured1511Only Hy3 measured
LMArena WebDev: HTMLNot measured1487Only Hy3 measured
Neither model has a result on the other 35 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Granite 4.2 8B and Hy3
BenchmarkGranite 4.2 8BHy3Leader
AA Intelligence Index11.1Not measuredOnly Granite 4.2 8B measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Granite 4.2 8B and Hy3
BenchmarkGranite 4.2 8BHy3Leader
AA Agentic Index1.3Not measuredOnly Granite 4.2 8B measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Granite 4.2 8B and Hy3
BenchmarkGranite 4.2 8BHy3Leader
GPQA Diamond (Artificial Analysis run)63.1%89.7%Hy3
Humanity's Last Exam (Artificial Analysis run)9.7%33.5%Hy3
LMArena Text: hard prompts13271447Hy3
LMArena Text: expert13861461Hy3
LMArena Text: hard prompts in English13451455Hy3
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
BenchmarkGranite 4.2 8BHy3Leader
LMArena Text: mathNot measured1473Only Hy3 measured
LMArena Text: mathematical workNot measured1482Only Hy3 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
BenchmarkGranite 4.2 8BHy3Leader
LMArena Text: science13361457Hy3
LMArena Text: medicine and healthcare13361452Hy3
LMArena Text: legal and government13271422Hy3
LMArena Text: business and finance13221424Hy3
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Granite 4.2 8B and Hy3
BenchmarkGranite 4.2 8BHy3Leader
Design Arena: websitesNot measured1230Only Hy3 measured
Design Arena: UI componentsNot measured1204Only Hy3 measured
Design Arena: game devNot measured1208Only Hy3 measured
Design Arena: data vizNot measured1165Only Hy3 measured
Design Arena: 3DNot measured1232Only Hy3 measured
Design Arena: all code categoriesNot measured1227Only Hy3 measured
Design Arena: SVGNot measured1201Only Hy3 measured
Design Arena: ASCII artNot measured1152Only Hy3 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for Granite 4.2 8B and Hy3
BenchmarkGranite 4.2 8BHy3Leader
Long context reasoning (AA-LCR)45.0%79.0%Hy3
LMArena Text13191438Hy3
LMArena Text: instruction following13001426Hy3
LMArena Text: creative writing12361403Hy3
LMArena Text: English13371448Hy3
LMArena Text: non-English13011426Hy3
LMArena Text: Chinese13671485Hy3
LMArena Text: GermanNot measured1449Only Hy3 measured
LMArena Text: JapaneseNot measured1397Only Hy3 measured
LMArena Text: KoreanNot measured1396Only Hy3 measured
LMArena Text: FrenchNot measured1456Only Hy3 measured
LMArena Text: SpanishNot measured1457Only Hy3 measured
LMArena Text: Russian12821432Hy3
LMArena Text: PolishNot measured1447Only Hy3 measured
LMArena Text: multi-turn13011436Hy3
LMArena Text: longer queries13251442Hy3
LMArena Text: writing and language12691414Hy3
LMArena Text: entertainment and media12711400Hy3
Neither model has a result on the other 30 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
BenchmarkGranite 4.2 8BHy3Leader
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$0.0004Fits 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$0.0082Fits 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$0.032Fits 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
SpecificationIBM Granite 4.2 8BTencent Hy3
MakerIBM GraniteTencent
WeightsOpen weightsOpen weights
ReleasedAugust 31, 2026July 6, 2026
Context window131K262K
Input $/Mtok$0.08$0.132
Output $/Mtok$0.20$0.528
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 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 2.6x cheaper ($0.20 vs $0.528 per million) and work measured by SciCode or LMArena Text: coding, where it leads.

Which is cheaper, Granite 4.2 8B or Hy3?

Granite 4.2 8B costs $0.08 per million input tokens and $0.20 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for neither of them.

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

Hy3, with 262K tokens against 131K.

How many benchmarks is the Granite 4.2 8B vs Hy3 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 Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.

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