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Granite 4.2 8B vs Relace Apply 3

Granite 4.2 8B costs 6.3x less per output token than Relace Apply 3 ($0.20 vs $1.25 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Granite 4.2 8B Replace Relace Apply 3
Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
Relace Apply 3Relace
Coding
No data
Overall
No data
Output $/M
$1.25
vs $0.20 vs $1.25 per 1M output tokens. Granite 4.2 8B is 6.3x cheaper.

Granite 4.2 8B or Relace Apply 3: 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 6.3x cheaper ($0.20 vs $1.25 per million).

Model AGranite 4.2 8BIBM GraniteNot benchmarkedNo coding benchmarkNo cost per solved taskModel BRelace Apply 3RelaceNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Granite 4.2 8B has results on AA Coding Index, SciCode and LMArena Text: coding; Relace Apply 3 has none yet. Compare them on price and context instead.

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, Relace Apply 3 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Granite 4.2 8B $0.20 against Relace Apply 3 $1.25 per million output tokens, 6.3x apart.
Context window
Granite 4.2 8B takes 131K tokens, Relace Apply 3 256K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards measured
Coding benchmarks for Granite 4.2 8B and Relace Apply 3
BenchmarkGranite 4.2 8BRelace Apply 3Leader
AA Coding Index22.4Not measuredOnly Granite 4.2 8B measured
SciCode31.5%Not measuredOnly Granite 4.2 8B measured
LMArena Text: coding1378Not measuredOnly Granite 4.2 8B measured
LMArena Text: software and IT1367Not measuredOnly Granite 4.2 8B measured
Neither model has a result on the other 39 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Granite 4.2 8B and Relace Apply 3
BenchmarkGranite 4.2 8BRelace Apply 3Leader
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 measured
Agentic work benchmarks for Granite 4.2 8B and Relace Apply 3
BenchmarkGranite 4.2 8BRelace Apply 3Leader
AA Agentic Index1.3Not measuredOnly Granite 4.2 8B measured
Neither model has a result on the other 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Reasoning benchmarks for Granite 4.2 8B and Relace Apply 3
BenchmarkGranite 4.2 8BRelace Apply 3Leader
GPQA Diamond (Artificial Analysis run)63.1%Not measuredOnly Granite 4.2 8B measured
Humanity's Last Exam (Artificial Analysis run)9.7%Not measuredOnly Granite 4.2 8B measured
LMArena Text: hard prompts1327Not measuredOnly Granite 4.2 8B measured
LMArena Text: expert1386Not measuredOnly Granite 4.2 8B measured
LMArena Text: hard prompts in English1345Not measuredOnly Granite 4.2 8B measured
Neither model has a result on the other 18 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for Granite 4.2 8B and Relace Apply 3
BenchmarkGranite 4.2 8BRelace Apply 3Leader
LMArena Text: science1336Not measuredOnly Granite 4.2 8B measured
LMArena Text: medicine and healthcare1336Not measuredOnly Granite 4.2 8B measured
LMArena Text: legal and government1327Not measuredOnly Granite 4.2 8B measured
LMArena Text: business and finance1322Not measuredOnly Granite 4.2 8B measured
Neither model has a result on the other 16 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
General benchmarks for Granite 4.2 8B and Relace Apply 3
BenchmarkGranite 4.2 8BRelace Apply 3Leader
Long context reasoning (AA-LCR)45.0%Not measuredOnly Granite 4.2 8B measured
LMArena Text1319Not measuredOnly Granite 4.2 8B measured
LMArena Text: instruction following1300Not measuredOnly Granite 4.2 8B measured
LMArena Text: creative writing1236Not measuredOnly Granite 4.2 8B measured
LMArena Text: English1337Not measuredOnly Granite 4.2 8B measured
LMArena Text: non-English1301Not measuredOnly Granite 4.2 8B measured
LMArena Text: Chinese1367Not measuredOnly Granite 4.2 8B measured
LMArena Text: Russian1282Not measuredOnly Granite 4.2 8B measured
LMArena Text: multi-turn1301Not measuredOnly Granite 4.2 8B measured
LMArena Text: longer queries1325Not measuredOnly Granite 4.2 8B measured
LMArena Text: writing and language1269Not measuredOnly Granite 4.2 8B measured
LMArena Text: entertainment and media1271Not measuredOnly Granite 4.2 8B measured
Neither model has a result on the other 36 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
Relace Apply 3$0.0015Fits 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
Relace Apply 3$0.046Fits 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
Relace Apply 3$0.182Fits 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 Relace Apply 3
SpecificationIBM Granite 4.2 8BRelace Apply 3
MakerIBM GraniteRelace
WeightsOpen weightsNo public weights listed
ReleasedAugust 31, 2026September 26, 2025
Context window131K256K
Input $/Mtok$0.08$0.85
Output $/Mtok$0.20$1.25
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Granite 4.2 8B better than Relace Apply 3 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 6.3x cheaper ($0.20 vs $1.25 per million).

Which is cheaper, Granite 4.2 8B or Relace Apply 3?

Granite 4.2 8B costs $0.08 per million input tokens and $0.20 per million output tokens; Relace Apply 3 costs $0.85 and $1.25. Cost per solved task is known for neither of them.

Which has the bigger context window, Granite 4.2 8B or Relace Apply 3?

Relace Apply 3, with 256K tokens against 131K.

Has any benchmark tested both Granite 4.2 8B and Relace Apply 3?

No benchmark has tested both yet. Granite 4.2 8B has results on AA Coding Index, SciCode and LMArena Text: coding; Relace Apply 3 has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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