Model comparison

Granite 4.0 Micro vs MiniMax-M2.1

MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 13× less per token, which makes it the better buy when MiniMax-M2.1's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Granite 4.0 Micro IBM

29.0

Rank #318 Confirmed

MiniMax-M2.1 MiniMax

38.9

Rank #178 Confirmed

Summary

  • The widest gap is in knowledge, where MiniMax-M2.1 leads 38.3 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-M2.1.
  • MiniMax-M2.1 accepts more context: 205K tokens versus 131K.

Side by side

Granite 4.0 Micro and MiniMax-M2.1 specifications
Granite 4.0 MicroMiniMax-M2.1
ProviderIBMMiniMax
Noometry Index29.038.9
Released2025-10-022025-12-23
WeightsOpenOpen
Context window131K205K
Max output118K131K
Input $ / M tokens$0.017$0.30
Output $ / M tokens$0.11$1.20
Results tracked822

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Category by category

Coding Not comparable

Granite 4.0 Micro: —, MiniMax-M2.1: 40.4 (#143)

Coding benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.1
LMArena WebDev—1384
LMArena Coding—1421
ALE-Bench—623.83

Agentic & Tool Use Not comparable

Granite 4.0 Micro: —, MiniMax-M2.1: 27.9 (#98)

Agentic & Tool Use benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.1
Terminal-Bench—36.6%

Reasoning Granite 4.0 Micro leads

Granite 4.0 Micro: 19.2 (#265), MiniMax-M2.1: 16.6 (#302)

Reasoning benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.1
NYT Connections (extended)—11.2%
Chess Puzzles0%—
LMArena Hard Prompts—1411

Math MiniMax-M2.1 leads

Granite 4.0 Micro: 12.0 (#307), MiniMax-M2.1: 38.3 (#138)

Math benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.1
OTIS Mock AIME 2024-20252.8%—
Omni-MATH20.9%—
LMArena Math—1397

Knowledge MiniMax-M2.1 leads

Granite 4.0 Micro: 9.9 (#304), MiniMax-M2.1: 38.3 (#147)

Knowledge benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.1
GPQA Diamond28.3%—
MMLU-Pro39.5%—
Vectara Hallucination Rate—11.8%
GPQA (HELM)30.7%—
LMArena Expert—1431

Multilingual Not comparable

Granite 4.0 Micro: —, MiniMax-M2.1: 50.0 (#128)

Multilingual benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.1
LMArena Non-English—1378
LMArena Chinese—1430
LMArena French—1404
LMArena German—1381
LMArena Japanese—1287
LMArena Korean—1298
LMArena Russian—1387
LMArena Spanish—1397

Instruction Following MiniMax-M2.1 leads

Granite 4.0 Micro: 69.9 (#169), MiniMax-M2.1: 73.8 (#112)

Instruction Following benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.1
IFEval84.9%—
LMArena Instruction Following—1400

Long Context Not comparable

Granite 4.0 Micro: —, MiniMax-M2.1: 43.2 (#101)

Long Context benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.1
LMArena Longer Query—1416

Writing & Preference MiniMax-M2.1 leads

Granite 4.0 Micro: 46.7 (#216), MiniMax-M2.1: 58.3 (#120)

Writing & Preference benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.1
LMArena Text—1392
LMArena Creative Writing—1361
WildBench67%—
LMArena Multi-Turn—1396

Frequently asked questions

Is Granite 4.0 Micro better than MiniMax-M2.1?

MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 13× less per token, which makes it the better buy when MiniMax-M2.1's lead doesn't matter for your workload.

Which is cheaper, Granite 4.0 Micro or MiniMax-M2.1?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; MiniMax-M2.1 lists at $0.30 and $1.20.

Which has the bigger context window?

MiniMax-M2.1 does, with 205K tokens against 131K.

How many benchmarks do Granite 4.0 Micro and MiniMax-M2.1 share?

0 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and MiniMax-M2.1 has 22.

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