Model comparison

MiniMax-M2 vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.4 on the Noometry Index. MiniMax-M2 costs 3.8× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Muse Spark 1.1 Meta

49.9

Rank #51 Confirmed

Summary

  • They share 18 benchmarks with published results for both. MiniMax-M2 scores higher in 0 categories and Muse Spark 1.1 in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 19.4.
  • The biggest single-benchmark swing is NYT Connections (extended): 14.8% for MiniMax-M2 and 84.9% for Muse Spark 1.1.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.1.
  • Muse Spark 1.1 accepts more context: 1.05M tokens versus 205K.
  • MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

MiniMax-M2 and Muse Spark 1.1 specifications
MiniMax-M2Muse Spark 1.1
ProviderMiniMaxMeta
Noometry Index37.449.9
Released2025-10-272026-04-08
WeightsOpenProprietary
Context window205K1.05M
Max output131K131K
Input $ / M tokens$0.30$1.25
Output $ / M tokens$1.20$4.25
Results tracked2137

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Category by category

Coding Muse Spark 1.1 leads

MiniMax-M2: 39.3 (#159), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
BenchmarkMiniMax-M2Muse Spark 1.1
LMArena WebDev12971542
LMArena Coding13701498
DeepSWE—53.3%
SWE-bench Verified (bash only)61%—
SciCode—58.8%

Agentic & Tool Use Muse Spark 1.1 leads

MiniMax-M2: 25.1 (#109), Muse Spark 1.1: 30.8 (#73)

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M2Muse Spark 1.1
Vending-Bench 2160.66,520
Terminal-Bench30%—
APEX-Agents—31.8%
τ²-bench Banking—40.5%
GBAEval—7.9%
GDP.pdf—15%

Reasoning Muse Spark 1.1 leads

MiniMax-M2: 19.4 (#258), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
BenchmarkMiniMax-M2Muse Spark 1.1
NYT Connections (extended)14.8%84.9%
LMArena Hard Prompts13571486
Kagi LLM Benchmark57.8%—
CritPt—15.1%
DTBench—94.4%
LMCA—49.9%
Surface Evolver Bench—52.5%
Epoch Capabilities Index—154.21

Math Muse Spark 1.1 leads

MiniMax-M2: 37.3 (#160), Muse Spark 1.1: 45.5 (#76)

Math benchmarks
BenchmarkMiniMax-M2Muse Spark 1.1
LMArena Math13521483
ProofBench—39%

Knowledge Muse Spark 1.1 leads

MiniMax-M2: 37.0 (#163), Muse Spark 1.1: 53.1 (#59)

Knowledge benchmarks
BenchmarkMiniMax-M2Muse Spark 1.1
LMArena Expert13371478
SimpleQA Verified—57.8%

Multimodal Not comparable

MiniMax-M2: —, Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
BenchmarkMiniMax-M2Muse Spark 1.1
LMArena Vision—1293
LMArena Document—1465

Multilingual Muse Spark 1.1 leads

MiniMax-M2: 45.3 (#171), Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
BenchmarkMiniMax-M2Muse Spark 1.1
LMArena Non-English13131472
LMArena Chinese13661518
LMArena French13351494
LMArena German13551466
LMArena Russian13311483
LMArena Spanish13261464
LMArena Japanese—1451
LMArena Korean—1458

Instruction Following Muse Spark 1.1 leads

MiniMax-M2: 70.2 (#166), Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
BenchmarkMiniMax-M2Muse Spark 1.1
LMArena Instruction Following13281457

Long Context Muse Spark 1.1 leads

MiniMax-M2: 40.5 (#153), Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
BenchmarkMiniMax-M2Muse Spark 1.1
LMArena Longer Query13311462

Writing & Preference Muse Spark 1.1 leads

MiniMax-M2: 53.0 (#162), Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
BenchmarkMiniMax-M2Muse Spark 1.1
LMArena Text13401479
LMArena Creative Writing12861437
LMArena Multi-Turn13611485
EQ-Bench Creative Writing—1927
EQ-Bench 4—1260

Frequently asked questions

Is MiniMax-M2 better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.4 on the Noometry Index. MiniMax-M2 costs 3.8× less per token, which makes it the better buy when Muse Spark 1.1's lead doesn't matter for your workload.

Which is cheaper, MiniMax-M2 or Muse Spark 1.1?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Muse Spark 1.1 lists at $1.25 and $4.25.

Is MiniMax-M2 or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 39.3 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 205K.

How many benchmarks do MiniMax-M2 and Muse Spark 1.1 share?

18 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Muse Spark 1.1 has 37.

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