Model comparison

Gemma 3n E4b IT vs MiniMax-M2.7

Gemma 3n E4b IT and MiniMax-M2.7 score almost the same on the Noometry Index (36.7 vs 37.4), so choose on price, context window or the category you care about most.

Last verified . 17 shared benchmarks.

Gemma 3n E4b IT Google

36.7

Rank #203 Confirmed

MiniMax-M2.7 MiniMax

37.4

Rank #188 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 2 categories and MiniMax-M2.7 in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiniMax-M2.7 leads 59.1 to 50.3.
  • Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
  • MiniMax-M2.7 accepts more context: 205K tokens versus 33K.

Side by side

Gemma 3n E4b IT and MiniMax-M2.7 specifications
Gemma 3n E4b ITMiniMax-M2.7
ProviderGoogleMiniMax
Noometry Index36.737.4
Released2025-05-202026-03-18
WeightsOpenOpen
Context window33K205K
Max output33K131K
Input $ / M tokens$0.06$0.30
Output $ / M tokens$0.12$1.20
Results tracked1830

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Category by category

Coding MiniMax-M2.7 leads

Gemma 3n E4b IT: 36.4 (#193), MiniMax-M2.7: 41.4 (#115)

Coding benchmarks
BenchmarkGemma 3n E4b ITMiniMax-M2.7
LMArena Coding12691454
LMArena WebDev—1397
SciCode—47%
WeirdML—37%
ALE-Bench—599.25

Agentic & Tool Use Not comparable

Gemma 3n E4b IT: —, MiniMax-M2.7: 24.9 (#103)

Agentic & Tool Use benchmarks
BenchmarkGemma 3n E4b ITMiniMax-M2.7
Terminal-Bench—45.1%
ExploitBench—13.3%
GBAEval—0%

Reasoning Too close to call

Gemma 3n E4b IT: 19.2 (#239), MiniMax-M2.7: 19.0 (#248)

Reasoning benchmarks
BenchmarkGemma 3n E4b ITMiniMax-M2.7
LMArena Hard Prompts12841422
Kagi LLM Benchmark31.5%—
NYT Connections (extended)—24.7%
CritPt—0.6%
Thematic Generalization—39.3%
Epoch Capabilities Index—145.84

Math Gemma 3n E4b IT leads

Gemma 3n E4b IT: 32.5 (#186), MiniMax-M2.7: 24.9 (#254)

Math benchmarks
BenchmarkGemma 3n E4b ITMiniMax-M2.7
LMArena Math12511420
ProofBench—3%

Knowledge MiniMax-M2.7 leads

Gemma 3n E4b IT: 33.6 (#193), MiniMax-M2.7: 37.1 (#151)

Knowledge benchmarks
BenchmarkGemma 3n E4b ITMiniMax-M2.7
LMArena Expert12451443
Vectara Hallucination Rate—12.9%

Multilingual MiniMax-M2.7 leads

Gemma 3n E4b IT: 43.5 (#179), MiniMax-M2.7: 50.5 (#120)

Multilingual benchmarks
BenchmarkGemma 3n E4b ITMiniMax-M2.7
LMArena Non-English12851382
LMArena Chinese13101439
LMArena French13301422
LMArena German13121398
LMArena Japanese12741261
LMArena Korean12591313
LMArena Russian12881383
LMArena Spanish13051403

Instruction Following MiniMax-M2.7 leads

Gemma 3n E4b IT: 66.3 (#205), MiniMax-M2.7: 74.2 (#101)

Instruction Following benchmarks
BenchmarkGemma 3n E4b ITMiniMax-M2.7
LMArena Instruction Following12551404

Long Context MiniMax-M2.7 leads

Gemma 3n E4b IT: 38.8 (#185), MiniMax-M2.7: 43.3 (#94)

Long Context benchmarks
BenchmarkGemma 3n E4b ITMiniMax-M2.7
LMArena Longer Query12771419

Writing & Preference MiniMax-M2.7 leads

Gemma 3n E4b IT: 50.3 (#181), MiniMax-M2.7: 59.1 (#107)

Writing & Preference benchmarks
BenchmarkGemma 3n E4b ITMiniMax-M2.7
LMArena Text13061404
LMArena Creative Writing12871354
LMArena Multi-Turn12761413

Frequently asked questions

Is Gemma 3n E4b IT better than MiniMax-M2.7?

Gemma 3n E4b IT and MiniMax-M2.7 score almost the same on the Noometry Index (36.7 vs 37.4), so choose on price, context window or the category you care about most.

Which is cheaper, Gemma 3n E4b IT or MiniMax-M2.7?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.

Is Gemma 3n E4b IT or MiniMax-M2.7 better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.4 versus 36.4 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.7 does, with 205K tokens against 33K.

How many benchmarks do Gemma 3n E4b IT and MiniMax-M2.7 share?

17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and MiniMax-M2.7 has 30.

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