Model comparison

Granite 4.0 Micro vs MiniMax-M2.5

MiniMax-M2.5 is the stronger model overall, scoring 38.1 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 13× less per token, which makes it the better buy when MiniMax-M2.5's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Granite 4.0 Micro IBM

28.8

Rank #312 Confirmed

MiniMax-M2.5 MiniMax

38.1

Rank #181 Confirmed

Summary

  • The widest gap is in knowledge, where MiniMax-M2.5 leads 38.6 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-M2.5.
  • MiniMax-M2.5 accepts more context: 205K tokens versus 131K.

Side by side

Granite 4.0 Micro and MiniMax-M2.5 specifications
Granite 4.0 MicroMiniMax-M2.5
ProviderIBMMiniMax
Noometry Index28.838.1
Released2025-10-022026-02-12
WeightsOpenOpen
Context window131K205K
Max output118K131K
Input $ / M tokens$0.017$0.30
Output $ / M tokens$0.11$1.20
Results tracked833

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Category by category

Coding Not comparable

Granite 4.0 Micro: —, MiniMax-M2.5: 47.9 (#53)

Coding benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.5
SWE-bench Verified (bash only)—75.8%
LMArena WebDev—1386
SWE-bench Multilingual—68.3%
LMArena Coding—1380
ALE-Bench—618.17

Agentic & Tool Use Not comparable

Granite 4.0 Micro: —, MiniMax-M2.5: 30.2 (#70)

Agentic & Tool Use benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.5
Terminal-Bench—42.7%
Vending-Bench 2—-23.16

Reasoning Too close to call

Granite 4.0 Micro: 18.5 (#261), MiniMax-M2.5: 17.6 (#281)

Reasoning benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.5
ARC-AGI-2—4.9%
Kagi LLM Benchmark—55.2%
NYT Connections (extended)—16.8%
ARC-AGI-1—63.7%
Chess Puzzles0%—
LMArena Hard Prompts—1372
Epoch Capabilities Index—146.68

Math MiniMax-M2.5 leads

Granite 4.0 Micro: 11.2 (#301), MiniMax-M2.5: 25.8 (#242)

Math benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.5
OTIS Mock AIME 2024-20252.8%—
ProofBench—4%
Omni-MATH20.9%—
LMArena Math—1378

Knowledge MiniMax-M2.5 leads

Granite 4.0 Micro: 9.9 (#299), MiniMax-M2.5: 38.6 (#132)

Knowledge benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.5
GPQA Diamond28.3%—
MMLU-Pro39.5%—
Vectara Hallucination Rate—9.1%
GPQA (HELM)30.7%—
LMArena Expert—1378

Multilingual Not comparable

Granite 4.0 Micro: —, MiniMax-M2.5: 47.3 (#147)

Multilingual benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.5
LMArena Non-English—1338
LMArena Chinese—1392
LMArena French—1363
LMArena German—1361
LMArena Japanese—1169
LMArena Korean—1232
LMArena Russian—1359
LMArena Spanish—1354

Instruction Following MiniMax-M2.5 leads

Granite 4.0 Micro: 70.0 (#164), MiniMax-M2.5: 71.7 (#143)

Instruction Following benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.5
IFEval84.9%—
LMArena Instruction Following—1353

Long Context Not comparable

Granite 4.0 Micro: —, MiniMax-M2.5: 37.4 (#211)

Long Context benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.5
CL-bench—11.4%
CL-bench Life—6.3%
LMArena Longer Query—1367

Writing & Preference MiniMax-M2.5 leads

Granite 4.0 Micro: 46.7 (#212), MiniMax-M2.5: 54.1 (#149)

Writing & Preference benchmarks
BenchmarkGranite 4.0 MicroMiniMax-M2.5
LMArena Text—1359
LMArena Creative Writing—1331
EQ-Bench Creative Writing—1361
WildBench67%—
LMArena Multi-Turn—1364

Frequently asked questions

Is Granite 4.0 Micro better than MiniMax-M2.5?

MiniMax-M2.5 is the stronger model overall, scoring 38.1 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 13× less per token, which makes it the better buy when MiniMax-M2.5's lead doesn't matter for your workload.

Which is cheaper, Granite 4.0 Micro or MiniMax-M2.5?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; MiniMax-M2.5 lists at $0.30 and $1.20.

Which has the bigger context window?

MiniMax-M2.5 does, with 205K tokens against 131K.

How many benchmarks do Granite 4.0 Micro and MiniMax-M2.5 share?

0 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and MiniMax-M2.5 has 33.

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