Model comparison

MiniMax-M2 vs Muse Spark

Muse Spark is the stronger model overall, scoring 50.6 to 37.4 on the Noometry Index.

Last verified . 15 shared benchmarks.

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Muse Spark Meta

50.6

Rank #46 Confirmed

Summary

  • They share 15 benchmarks with published results for both. MiniMax-M2 scores higher in 0 categories and Muse Spark in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark leads 65.7 to 37.0.
  • MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

MiniMax-M2 and Muse Spark specifications
MiniMax-M2Muse Spark
ProviderMiniMaxMeta
Noometry Index37.450.6
Released2025-10-272026-04-08
WeightsOpenProprietary
Context window205K—
Max output131K—
Input $ / M tokens$0.30—
Output $ / M tokens$1.20—
Results tracked2127

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Category by category

Coding Muse Spark leads

MiniMax-M2: 39.3 (#159), Muse Spark: 46.2 (#69)

Coding benchmarks
BenchmarkMiniMax-M2Muse Spark
LMArena Coding13701481
SWE-bench Verified (bash only)61%—
LMArena WebDev1297—
SciCode—51.5%

Agentic & Tool Use Not comparable

MiniMax-M2: 25.1 (#109), Muse Spark: —

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2Muse Spark
Terminal-Bench30%—
Vending-Bench 2160.6—

Reasoning Muse Spark leads

MiniMax-M2: 19.4 (#258), Muse Spark: 35.9 (#67)

Reasoning benchmarks
BenchmarkMiniMax-M2Muse Spark
LMArena Hard Prompts13571474
Kagi LLM Benchmark57.8%—
NYT Connections (extended)14.8%—
CritPt—11.3%
Epoch Capabilities Index—152.04

Math Muse Spark leads

MiniMax-M2: 37.3 (#160), Muse Spark: 47.8 (#66)

Math benchmarks
BenchmarkMiniMax-M2Muse Spark
LMArena Math13521455
OTIS Mock AIME 2024-2025—88.9%
ProofBench—17%
FrontierMath (Feb 2025 set)—39%
FrontierMath Tier 4 (v1)—14.6%

Knowledge Muse Spark leads

MiniMax-M2: 37.0 (#163), Muse Spark: 65.7 (#13)

Knowledge benchmarks
BenchmarkMiniMax-M2Muse Spark
LMArena Expert13371457
GPQA Diamond—89.8%
Humanity's Last Exam—40.6%

Multimodal Not comparable

MiniMax-M2: —, Muse Spark: 43.4 (#24)

Multimodal benchmarks
BenchmarkMiniMax-M2Muse Spark
LMArena Vision—1306
LMArena Document—1444

Multilingual Muse Spark leads

MiniMax-M2: 45.3 (#171), Muse Spark: 56.1 (#24)

Multilingual benchmarks
BenchmarkMiniMax-M2Muse Spark
LMArena Non-English13131464
LMArena Chinese13661509
LMArena French13351497
LMArena German13551497
LMArena Russian13311466
LMArena Spanish13261472
LMArena Korean—1459

Instruction Following Muse Spark leads

MiniMax-M2: 70.2 (#166), Muse Spark: 75.9 (#51)

Instruction Following benchmarks
BenchmarkMiniMax-M2Muse Spark
LMArena Instruction Following13281442

Long Context Muse Spark leads

MiniMax-M2: 40.5 (#153), Muse Spark: 44.4 (#69)

Long Context benchmarks
BenchmarkMiniMax-M2Muse Spark
LMArena Longer Query13311451

Writing & Preference Muse Spark leads

MiniMax-M2: 53.0 (#162), Muse Spark: 66.0 (#39)

Writing & Preference benchmarks
BenchmarkMiniMax-M2Muse Spark
LMArena Text13401474
LMArena Creative Writing12861459
LMArena Multi-Turn13611477

Frequently asked questions

Is MiniMax-M2 better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.6 to 37.4 on the Noometry Index.

Is MiniMax-M2 or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 39.3 in the Noometry coding category.

How many benchmarks do MiniMax-M2 and Muse Spark share?

15 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Muse Spark has 27.

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