Model comparison

MiniMax-M2.7 vs Phi-4 Mini

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 30.9 on the Noometry Index. Phi-4 Mini costs 4.0× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Phi-4 Mini Microsoft

30.9

Rank #283 Reported

Summary

  • They share 3 benchmarks with published results for both. MiniMax-M2.7 scores higher in 2 categories and Phi-4 Mini in 1 category; 3 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiniMax-M2.7 leads 41.8 to 28.1.
  • The biggest single-benchmark swing is SciCode: 47% for MiniMax-M2.7 and 10.8% for Phi-4 Mini.
  • Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
  • MiniMax-M2.7 accepts more context: 205K tokens versus 128K.

Side by side

MiniMax-M2.7 and Phi-4 Mini specifications
MiniMax-M2.7Phi-4 Mini
ProviderMiniMaxMicrosoft
Noometry Index37.730.9
Released2026-03-182024-12-11
WeightsOpenOpen
Context window205K128K
Max output131K4K
Input $ / M tokens$0.30$0.075
Output $ / M tokens$1.20$0.30
Results tracked303

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Category by category

Coding MiniMax-M2.7 leads

MiniMax-M2.7: 41.8 (#120), Phi-4 Mini: 28.1 (#317)

Coding benchmarks
BenchmarkMiniMax-M2.7Phi-4 Mini
SciCode47%10.8%
LMArena WebDev1398—
WeirdML37%—
LMArena Coding1454—
ALE-Bench599.25—

Agentic & Tool Use Not comparable

MiniMax-M2.7: 25.1 (#111), Phi-4 Mini: —

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2.7Phi-4 Mini
Terminal-Bench45.1%—
ExploitBench13.3%—
GBAEval0%—

Reasoning Phi-4 Mini leads

MiniMax-M2.7: 19.7 (#253), Phi-4 Mini: 22.4 (#195)

Reasoning benchmarks
BenchmarkMiniMax-M2.7Phi-4 Mini
CritPt0.6%0%
NYT Connections (extended)24.7%—
Thematic Generalization39.3%—
LMArena Hard Prompts1422—
Epoch Capabilities Index145.85—

Math Not comparable

MiniMax-M2.7: 25.9 (#263), Phi-4 Mini: —

Math benchmarks
BenchmarkMiniMax-M2.7Phi-4 Mini
ProofBench3%—
LMArena Math1420—

Knowledge MiniMax-M2.7 leads

MiniMax-M2.7: 37.7 (#152), Phi-4 Mini: 25.3 (#262)

Knowledge benchmarks
BenchmarkMiniMax-M2.7Phi-4 Mini
Vectara Hallucination Rate12.9%23.5%
LMArena Expert1444—

Multilingual Not comparable

MiniMax-M2.7: 50.3 (#123), Phi-4 Mini: —

Multilingual benchmarks
BenchmarkMiniMax-M2.7Phi-4 Mini
LMArena Non-English1382—
LMArena Chinese1441—
LMArena French1421—
LMArena German1398—
LMArena Japanese1262—
LMArena Korean1313—
LMArena Russian1383—
LMArena Spanish1403—

Instruction Following Not comparable

MiniMax-M2.7: 74.1 (#103), Phi-4 Mini: —

Instruction Following benchmarks
BenchmarkMiniMax-M2.7Phi-4 Mini
LMArena Instruction Following1405—

Long Context Not comparable

MiniMax-M2.7: 43.3 (#99), Phi-4 Mini: —

Long Context benchmarks
BenchmarkMiniMax-M2.7Phi-4 Mini
LMArena Longer Query1419—

Writing & Preference Not comparable

MiniMax-M2.7: 58.9 (#112), Phi-4 Mini: —

Writing & Preference benchmarks
BenchmarkMiniMax-M2.7Phi-4 Mini
LMArena Text1405—
LMArena Creative Writing1354—
LMArena Multi-Turn1412—

Frequently asked questions

Is MiniMax-M2.7 better than Phi-4 Mini?

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 30.9 on the Noometry Index. Phi-4 Mini costs 4.0× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.

Which is cheaper, MiniMax-M2.7 or Phi-4 Mini?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.

Is MiniMax-M2.7 or Phi-4 Mini better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 28.1 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.7 does, with 205K tokens against 128K.

How many benchmarks do MiniMax-M2.7 and Phi-4 Mini share?

3 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Phi-4 Mini has 3.

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