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Granite 4.2 8B vs MiniMax M1

MiniMax M1 leads Granite 4.2 8B on the Artificial Analysis Intelligence Index, 11.7 to 11.1, and Granite 4.2 8B costs 11.0x less per output token ($0.20 vs $2.20 per million). Updated October 23, 2026; 21 benchmarks have a result for both.

Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
5
MiniMax M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
16
vs boards won of 21 shared

Granite 4.2 8B or MiniMax M1: 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 11.0x cheaper ($0.20 vs $2.20 per million) and work measured by AA Intelligence Index or LMArena Text: hard prompts, where it leads.

Shared results
21
Granite 4.2 8B only
6
MiniMax M1 only
8
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, MiniMax M1 not benchmarked.
Widest category
Reasoning, 5.0 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: expert: Granite 4.2 8B 1386 against MiniMax M1 1317, 11.5 points apart on a 0 to 100 scale.
Output price
Granite 4.2 8B $0.20 against MiniMax M1 $2.20 per million output tokens, 11.0x apart.
Context window
Granite 4.2 8B takes 131K tokens, MiniMax M1 1M.

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 8BBarsMiniMax M1Ties
Coding20
Intelligence01
Reasoning12
Knowledge13
General110
All shared boards516
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Granite 4.2 8B and MiniMax M1
BenchmarkGranite 4.2 8BMiniMax M1Leader
AA Coding Index22.4Not measuredOnly Granite 4.2 8B measured
SciCode31.5%Not measuredOnly Granite 4.2 8B measured
LMArena Text: coding13781359Granite 4.2 8B
LMArena Text: software and IT13661359Granite 4.2 8B
Neither model has a result on the other 39 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Granite 4.2 8B and MiniMax M1
BenchmarkGranite 4.2 8BMiniMax M1Leader
AA Intelligence Index11.111.7MiniMax M1
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 MiniMax M1
BenchmarkGranite 4.2 8BMiniMax M1Leader
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 index12
Reasoning benchmarks for Granite 4.2 8B and MiniMax M1
BenchmarkGranite 4.2 8BMiniMax M1Leader
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 prompts13271339MiniMax M1
LMArena Text: expert13861317Granite 4.2 8B
LMArena Text: hard prompts in English13441353MiniMax M1
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 MiniMax M1
BenchmarkGranite 4.2 8BMiniMax M1Leader
LMArena Text: mathNot measured1361Only MiniMax M1 measured
LMArena Text: mathematical workNot measured1363Only MiniMax M1 measured
Neither model has a result on the other 12 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for Granite 4.2 8B and MiniMax M1
BenchmarkGranite 4.2 8BMiniMax M1Leader
LMArena Text: science13351354MiniMax M1
LMArena Text: medicine and healthcare13321355MiniMax M1
LMArena Text: legal and government13271337MiniMax M1
LMArena Text: business and finance13221319Granite 4.2 8B
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 MiniMax M1
BenchmarkGranite 4.2 8BMiniMax M1Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index110
General benchmarks for Granite 4.2 8B and MiniMax M1
BenchmarkGranite 4.2 8BMiniMax M1Leader
Long context reasoning (AA-LCR)45.0%Not measuredOnly Granite 4.2 8B measured
LMArena Text13191343MiniMax M1
LMArena Text: instruction following13011312MiniMax M1
LMArena Text: creative writing12351297MiniMax M1
LMArena Text: English13371363MiniMax M1
LMArena Text: non-English13001319MiniMax M1
LMArena Text: Chinese13651360Granite 4.2 8B
LMArena Text: GermanNot measured1350Only MiniMax M1 measured
LMArena Text: JapaneseNot measured1218Only MiniMax M1 measured
LMArena Text: KoreanNot measured1266Only MiniMax M1 measured
LMArena Text: FrenchNot measured1370Only MiniMax M1 measured
LMArena Text: SpanishNot measured1353Only MiniMax M1 measured
LMArena Text: Russian12801329MiniMax M1
LMArena Text: PolishNot measured1329Only MiniMax M1 measured
LMArena Text: multi-turn13001335MiniMax M1
LMArena Text: longer queries13241326MiniMax M1
LMArena Text: writing and language12691311MiniMax M1
LMArena Text: entertainment and media12711303MiniMax M1
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 MiniMax M1
BenchmarkGranite 4.2 8BMiniMax M1Leader
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
MiniMax M1$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
MiniMax M1$0.027Fits 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
MiniMax M1$0.102Fits 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 MiniMax M1
SpecificationIBM Granite 4.2 8BMiniMax M1
MakerIBM GraniteMiniMax
WeightsOpen weightsNo public weights listed
ReleasedAugust 31, 2026June 17, 2025
Context window131K1M
Input $/Mtok$0.08$0.40
Output $/Mtok$0.20$2.20
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 MiniMax M1 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 11.0x cheaper ($0.20 vs $2.20 per million) and work measured by AA Intelligence Index or LMArena Text: hard prompts, where it leads.

Which is cheaper, Granite 4.2 8B or MiniMax M1?

Granite 4.2 8B costs $0.08 per million input tokens and $0.20 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Granite 4.2 8B or MiniMax M1?

MiniMax M1, with 1M tokens against 131K.

How many benchmarks is the Granite 4.2 8B vs MiniMax M1 comparison based on?

21 benchmarks have a result for both models as of October 23, 2026. Granite 4.2 8B's coding index rests on 0 independent benchmarks and MiniMax M1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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