Model comparison

Granite 4.0 Micro vs MiniMax-M2.7

MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 13× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

Granite 4.0 Micro IBM

28.8

Rank #312 Confirmed

MiniMax-M2.7

MiniMax

37.4

Rank #188 Confirmed

Summary

The widest gap is in knowledge, where MiniMax-M2.7 leads 37.1 to 9.9.
Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
MiniMax-M2.7 accepts more context: 205K tokens versus 131K.

Side by side

Granite 4.0 Micro and MiniMax-M2.7 specifications
	Granite 4.0 Micro	MiniMax-M2.7
Provider	IBM	MiniMax
Noometry Index	28.8	37.4
Released	2025-10-02	2026-03-18
Weights	Open	Open
Context window	131K	205K
Max output	118K	131K
Input $ / M tokens	$0.017	$0.30
Output $ / M tokens	$0.11	$1.20
Results tracked	8	30

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Category by category

Coding Not comparable

Granite 4.0 Micro: —, MiniMax-M2.7: 41.4 (#115)

Coding benchmarks
Benchmark	Granite 4.0 Micro	MiniMax-M2.7
LMArena WebDev	—	1397
SciCode	—	47%
WeirdML	—	37%
LMArena Coding	—	1454
ALE-Bench	—	599.25

Agentic & Tool Use Not comparable

Granite 4.0 Micro: —, MiniMax-M2.7: 24.9 (#103)

Agentic & Tool Use benchmarks
Benchmark	Granite 4.0 Micro	MiniMax-M2.7
Terminal-Bench	—	45.1%
ExploitBench	—	13.3%
GBAEval	—	0%

Reasoning Too close to call

Granite 4.0 Micro: 18.5 (#261), MiniMax-M2.7: 19.0 (#248)

Reasoning benchmarks
Benchmark	Granite 4.0 Micro	MiniMax-M2.7
NYT Connections (extended)	—	24.7%
CritPt	—	0.6%
Chess Puzzles	0%	—
Thematic Generalization	—	39.3%
LMArena Hard Prompts	—	1422
Epoch Capabilities Index	—	145.84

Math MiniMax-M2.7 leads

Granite 4.0 Micro: 11.2 (#301), MiniMax-M2.7: 24.9 (#254)

Math benchmarks
Benchmark	Granite 4.0 Micro	MiniMax-M2.7
OTIS Mock AIME 2024-2025	2.8%	—
ProofBench	—	3%
Omni-MATH	20.9%	—
LMArena Math	—	1420

Knowledge MiniMax-M2.7 leads

Granite 4.0 Micro: 9.9 (#299), MiniMax-M2.7: 37.1 (#151)

Knowledge benchmarks
Benchmark	Granite 4.0 Micro	MiniMax-M2.7
GPQA Diamond	28.3%	—
MMLU-Pro	39.5%	—
Vectara Hallucination Rate	—	12.9%
GPQA (HELM)	30.7%	—
LMArena Expert	—	1443

Multilingual Not comparable

Granite 4.0 Micro: —, MiniMax-M2.7: 50.5 (#120)

Multilingual benchmarks
Benchmark	Granite 4.0 Micro	MiniMax-M2.7
LMArena Non-English	—	1382
LMArena Chinese	—	1439
LMArena French	—	1422
LMArena German	—	1398
LMArena Japanese	—	1261
LMArena Korean	—	1313
LMArena Russian	—	1383
LMArena Spanish	—	1403

Instruction Following MiniMax-M2.7 leads

Granite 4.0 Micro: 70.0 (#164), MiniMax-M2.7: 74.2 (#101)

Instruction Following benchmarks
Benchmark	Granite 4.0 Micro	MiniMax-M2.7
IFEval	84.9%	—
LMArena Instruction Following	—	1404

Long Context Not comparable

Granite 4.0 Micro: —, MiniMax-M2.7: 43.3 (#94)

Long Context benchmarks
Benchmark	Granite 4.0 Micro	MiniMax-M2.7
LMArena Longer Query	—	1419

Writing & Preference MiniMax-M2.7 leads

Granite 4.0 Micro: 46.7 (#212), MiniMax-M2.7: 59.1 (#107)

Writing & Preference benchmarks
Benchmark	Granite 4.0 Micro	MiniMax-M2.7
LMArena Text	—	1404
LMArena Creative Writing	—	1354
WildBench	67%	—
LMArena Multi-Turn	—	1413

Frequently asked questions

Is Granite 4.0 Micro better than MiniMax-M2.7?

Which is cheaper, Granite 4.0 Micro or MiniMax-M2.7?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.

Which has the bigger context window?

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

How many benchmarks do Granite 4.0 Micro and MiniMax-M2.7 share?

0 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and MiniMax-M2.7 has 30.