Noometry

Model comparison

MiniMax M1 vs MiniMax-M2.7

MiniMax M1 is the stronger model overall, scoring 40.3 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 1.8× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

MiniMax M1 MiniMax

40.3

Rank #150 Confirmed

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiniMax M1 scores higher in 2 categories and MiniMax-M2.7 in 6 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiniMax M1 leads 37.5 to 25.9.
  • MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
  • MiniMax M1 accepts more context: 1M tokens versus 205K.

Side by side

MiniMax M1MiniMax-M2.7
ProviderMiniMaxMiniMax
Noometry Index40.337.7
Released2025-06-132026-03-18
WeightsOpenOpen
Context window1M205K
Max output40K131K
Input $ / M tokens$0.55$0.30
Output $ / M tokens$2.20$1.20
Results tracked1830

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Category by category

Coding MiniMax-M2.7 leads

MiniMax M1: 39.9 (#153), MiniMax-M2.7: 41.8 (#120)

BenchmarkMiniMax M1MiniMax-M2.7
LMArena Coding13591454
LMArena WebDev—1398
SciCode—47%
WeirdML—37%
ALE-Bench—599.25

Agentic & Tool Use Not comparable

MiniMax M1: —, MiniMax-M2.7: 25.1 (#111)

BenchmarkMiniMax M1MiniMax-M2.7
Terminal-Bench—45.1%
ExploitBench—13.3%
GBAEval—0%

Reasoning MiniMax M1 leads

MiniMax M1: 26.9 (#126), MiniMax-M2.7: 19.7 (#253)

BenchmarkMiniMax M1MiniMax-M2.7
LMArena Hard Prompts13391422
NYT Connections (extended)—24.7%
CritPt—0.6%
Thematic Generalization—39.3%
Epoch Capabilities Index—145.85

Math MiniMax M1 leads

MiniMax M1: 37.5 (#151), MiniMax-M2.7: 25.9 (#263)

BenchmarkMiniMax M1MiniMax-M2.7
LMArena Math13611420
ProofBench—3%

Knowledge MiniMax-M2.7 leads

MiniMax M1: 36.4 (#170), MiniMax-M2.7: 37.7 (#152)

BenchmarkMiniMax M1MiniMax-M2.7
LMArena Expert13171444
Vectara Hallucination Rate—12.9%

Multilingual MiniMax-M2.7 leads

MiniMax M1: 45.8 (#163), MiniMax-M2.7: 50.3 (#123)

BenchmarkMiniMax M1MiniMax-M2.7
LMArena Non-English13191382
LMArena Chinese13601441
LMArena French13701421
LMArena German13501398
LMArena Japanese12171262
LMArena Korean12661313
LMArena Russian13291383
LMArena Spanish13531403

Instruction Following MiniMax-M2.7 leads

MiniMax M1: 69.3 (#174), MiniMax-M2.7: 74.1 (#103)

BenchmarkMiniMax M1MiniMax-M2.7
LMArena Instruction Following13121405

Long Context MiniMax-M2.7 leads

MiniMax M1: 41.4 (#141), MiniMax-M2.7: 43.3 (#99)

BenchmarkMiniMax M1MiniMax-M2.7
LMArena Longer Query13261419
Fiction.LiveBench69.4%—

Writing & Preference MiniMax-M2.7 leads

MiniMax M1: 53.1 (#161), MiniMax-M2.7: 58.9 (#112)

BenchmarkMiniMax M1MiniMax-M2.7
LMArena Text13431405
LMArena Creative Writing12981354
LMArena Multi-Turn13351412

Frequently asked questions

Is MiniMax M1 better than MiniMax-M2.7?

MiniMax M1 is the stronger model overall, scoring 40.3 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 1.8× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.

Which is cheaper, MiniMax M1 or MiniMax-M2.7?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.

Is MiniMax M1 or MiniMax-M2.7 better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 39.9 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 205K.

How many benchmarks do MiniMax M1 and MiniMax-M2.7 share?

17 benchmarks have published results for both models. MiniMax M1 has 18 scored results on Noometry and MiniMax-M2.7 has 30.

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