Noometry

Model comparison

MiniMax-M2.5 vs Phi-4 Mini

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 30.9 on the Noometry Index. Phi-4 Mini costs 4.0× less per token, which makes it the better buy when MiniMax-M2.5's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

MiniMax-M2.5 MiniMax

38.3

Rank #188 Confirmed

Phi-4 Mini Microsoft

30.9

Rank #283 Reported

Summary

  • They share 1 benchmark with published results for both. MiniMax-M2.5 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-M2.5 leads 48.1 to 28.1.
  • The biggest single-benchmark swing is Vectara Hallucination Rate: 9.1% for MiniMax-M2.5 and 23.5% 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-M2.5.
  • MiniMax-M2.5 accepts more context: 205K tokens versus 128K.

Side by side

MiniMax-M2.5Phi-4 Mini
ProviderMiniMaxMicrosoft
Noometry Index38.330.9
Released2026-02-122024-12-11
WeightsOpenOpen
Context window205K128K
Max output131K4K
Input $ / M tokens$0.30$0.075
Output $ / M tokens$1.20$0.30
Results tracked333

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Category by category

Coding MiniMax-M2.5 leads

MiniMax-M2.5: 48.1 (#58), Phi-4 Mini: 28.1 (#317)

BenchmarkMiniMax-M2.5Phi-4 Mini
SWE-bench Verified (bash only)75.8%—
LMArena WebDev1387—
SWE-bench Multilingual68.3%—
SciCode—10.8%
LMArena Coding1381—
ALE-Bench618.17—

Agentic & Tool Use Not comparable

MiniMax-M2.5: 30.4 (#77), Phi-4 Mini: —

BenchmarkMiniMax-M2.5Phi-4 Mini
Terminal-Bench42.7%—
Vending-Bench 2-23.16—

Reasoning Phi-4 Mini leads

MiniMax-M2.5: 17.5 (#292), Phi-4 Mini: 22.4 (#195)

BenchmarkMiniMax-M2.5Phi-4 Mini
ARC-AGI-24.9%—
Kagi LLM Benchmark55.2%—
NYT Connections (extended)16.8%—
ARC-AGI-163.7%—
CritPt—0%
LMArena Hard Prompts1372—
Epoch Capabilities Index146.68—

Math Not comparable

MiniMax-M2.5: 26.9 (#253), Phi-4 Mini: —

BenchmarkMiniMax-M2.5Phi-4 Mini
ProofBench4%—
LMArena Math1378—

Knowledge MiniMax-M2.5 leads

MiniMax-M2.5: 39.2 (#135), Phi-4 Mini: 25.3 (#262)

BenchmarkMiniMax-M2.5Phi-4 Mini
Vectara Hallucination Rate9.1%23.5%
LMArena Expert1379—

Multilingual Not comparable

MiniMax-M2.5: 47.1 (#152), Phi-4 Mini: —

BenchmarkMiniMax-M2.5Phi-4 Mini
LMArena Non-English1338—
LMArena Chinese1393—
LMArena French1362—
LMArena German1362—
LMArena Japanese1171—
LMArena Korean1232—
LMArena Russian1358—
LMArena Spanish1354—

Instruction Following Not comparable

MiniMax-M2.5: 71.5 (#148), Phi-4 Mini: —

BenchmarkMiniMax-M2.5Phi-4 Mini
LMArena Instruction Following1353—

Long Context Not comparable

MiniMax-M2.5: 37.5 (#216), Phi-4 Mini: —

BenchmarkMiniMax-M2.5Phi-4 Mini
CL-bench11.4%—
CL-bench Life6.3%—
LMArena Longer Query1366—

Writing & Preference Not comparable

MiniMax-M2.5: 53.9 (#153), Phi-4 Mini: —

BenchmarkMiniMax-M2.5Phi-4 Mini
LMArena Text1359—
LMArena Creative Writing1331—
EQ-Bench Creative Writing1361—
LMArena Multi-Turn1364—

Frequently asked questions

Is MiniMax-M2.5 better than Phi-4 Mini?

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 30.9 on the Noometry Index. Phi-4 Mini costs 4.0× less per token, which makes it the better buy when MiniMax-M2.5's lead doesn't matter for your workload.

Which is cheaper, MiniMax-M2.5 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-M2.5 lists at $0.30 and $1.20.

Is MiniMax-M2.5 or Phi-4 Mini better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 28.1 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.5 does, with 205K tokens against 128K.

How many benchmarks do MiniMax-M2.5 and Phi-4 Mini share?

1 benchmark has published results for both models. MiniMax-M2.5 has 33 scored results on Noometry and Phi-4 Mini has 3.

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