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Granite 4.2 8B vs MiniMax M2.7

MiniMax M2.7 leads Granite 4.2 8B on the Artificial Analysis Intelligence Index, 22.8 to 11.1, and Granite 4.2 8B costs 6.0x less per output token ($0.20 vs $1.20 per million). Updated October 22, 2026; 27 benchmarks have a result for both.

Replace Granite 4.2 8B Replace MiniMax M2.7
Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
0
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
27
vs boards won of 27 shared

Granite 4.2 8B or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 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 6.0x cheaper ($0.20 vs $1.20 per million).

Model AGranite 4.2 8BIBM GraniteNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
27
Granite 4.2 8B only
0
MiniMax M2.7 only
47
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, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Coding, 18.6 points apart on average over 4 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Granite 4.2 8B 45.0% against MiniMax M2.7 78.3%, 33.3 points apart on a 0 to 100 scale.
Output price
Granite 4.2 8B $0.20 against MiniMax M2.7 $1.20 per million output tokens, 6.0x apart.
Context window
Granite 4.2 8B takes 131K tokens, MiniMax M2.7 205K.

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 M2.7Ties
Coding04
Intelligence01
Agentic work01
Reasoning05
Knowledge04
General012
All shared boards027
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Granite 4.2 8B and MiniMax M2.7
BenchmarkGranite 4.2 8BMiniMax M2.7Leader
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding Index22.452.6MiniMax M2.7
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Vibe Code Bench (Vals AI)Not measured11.9%Only MiniMax M2.7 measured
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
SciCode31.5%50.1%MiniMax M2.7
Terminal-Bench Hard (Artificial Analysis run)Not measured39.4%Only MiniMax M2.7 measured
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdMLNot measured37.0%Only MiniMax M2.7 measured
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding13781454MiniMax M2.7
LMArena Text: software and IT13671446MiniMax M2.7
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTMLNot measured1401Only MiniMax M2.7 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Granite 4.2 8B and MiniMax M2.7
BenchmarkGranite 4.2 8BMiniMax M2.7Leader
AA Intelligence Index11.122.8MiniMax M2.7
Epoch Capabilities IndexNot measured145.8Only MiniMax M2.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Granite 4.2 8B and MiniMax M2.7
BenchmarkGranite 4.2 8BMiniMax M2.7Leader
AA Agentic Index1.315.3MiniMax M2.7
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench TelecomNot measured84.8%Only MiniMax M2.7 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Granite 4.2 8B and MiniMax M2.7
BenchmarkGranite 4.2 8BMiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
GPQA Diamond (Artificial Analysis run)63.1%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)9.7%29.6%MiniMax M2.7
LMArena Text: hard prompts13271422MiniMax M2.7
LMArena Text: expert13861443MiniMax M2.7
LMArena Text: hard prompts in English13451441MiniMax M2.7
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Granite 4.2 8B and MiniMax M2.7
BenchmarkGranite 4.2 8BMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
LMArena Text: mathNot measured1421Only MiniMax M2.7 measured
LMArena Text: mathematical workNot measured1437Only MiniMax M2.7 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 MiniMax M2.7
BenchmarkGranite 4.2 8BMiniMax M2.7Leader
MMLU ProNot measured80.4%Only MiniMax M2.7 measured
LegalBench (Vals AI)Not measured84.0%Only MiniMax M2.7 measured
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)Not measured61.2%Only MiniMax M2.7 measured
TaxEval (Vals AI)Not measured66.6%Only MiniMax M2.7 measured
MedCode (Vals AI)Not measured34.4%Only MiniMax M2.7 measured
LMArena Text: science13361416MiniMax M2.7
LMArena Text: medicine and healthcare13361409MiniMax M2.7
LMArena Text: legal and government13271403MiniMax M2.7
LMArena Text: business and finance13221407MiniMax M2.7
Neither model has a result on the other 10 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 MiniMax M2.7
BenchmarkGranite 4.2 8BMiniMax M2.7Leader
Design Arena: websitesNot measured1242Only MiniMax M2.7 measured
Design Arena: UI componentsNot measured1207Only MiniMax M2.7 measured
Design Arena: game devNot measured1209Only MiniMax M2.7 measured
Design Arena: data vizNot measured1233Only MiniMax M2.7 measured
Design Arena: 3DNot measured1194Only MiniMax M2.7 measured
Design Arena: all code categoriesNot measured1233Only MiniMax M2.7 measured
Design Arena: SVGNot measured1137Only MiniMax M2.7 measured
Design Arena: ASCII artNot measured1136Only MiniMax M2.7 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 MiniMax M2.7
BenchmarkGranite 4.2 8BMiniMax M2.7Leader
MedScribe (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
IFBenchNot measured75.7%Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)45.0%78.3%MiniMax M2.7
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text13191405MiniMax M2.7
LMArena Text: instruction following13001405MiniMax M2.7
LMArena Text: creative writing12361354MiniMax M2.7
LMArena Text: English13371426MiniMax M2.7
LMArena Text: non-English13011382MiniMax M2.7
LMArena Text: Chinese13671442MiniMax M2.7
LMArena Text: GermanNot measured1398Only MiniMax M2.7 measured
LMArena Text: JapaneseNot measured1260Only MiniMax M2.7 measured
LMArena Text: KoreanNot measured1314Only MiniMax M2.7 measured
LMArena Text: FrenchNot measured1424Only MiniMax M2.7 measured
LMArena Text: SpanishNot measured1402Only MiniMax M2.7 measured
LMArena Text: Russian12821383MiniMax M2.7
LMArena Text: PolishNot measured1387Only MiniMax M2.7 measured
LMArena Text: multi-turn13011412MiniMax M2.7
LMArena Text: longer queries13251418MiniMax M2.7
LMArena Text: writing and language12691376MiniMax M2.7
LMArena Text: entertainment and media12711360MiniMax M2.7
Neither model has a result on the other 27 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 M2.7
BenchmarkGranite 4.2 8BMiniMax M2.7Leader
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 M2.7$0.0009Fits 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 M2.7$0.019Fits 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 M2.7$0.072Exceeds the context window

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 M2.7
SpecificationIBM Granite 4.2 8BMiniMax M2.7
MakerIBM GraniteMiniMax
WeightsOpen weightsOpen weights
ReleasedAugust 31, 2026March 18, 2026
Context window131K205K
Input $/Mtok$0.08$0.30
Output $/Mtok$0.20$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it03
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Granite 4.2 8B better than MiniMax M2.7 for coding?

Only MiniMax M2.7 has a coding score, 36.2 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 6.0x cheaper ($0.20 vs $1.20 per million).

Which is cheaper, Granite 4.2 8B or MiniMax M2.7?

Granite 4.2 8B costs $0.08 per million input tokens and $0.20 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, Granite 4.2 8B or MiniMax M2.7?

MiniMax M2.7, with 205K tokens against 131K.

How many benchmarks is the Granite 4.2 8B vs MiniMax M2.7 comparison based on?

27 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 MiniMax M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.

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