Model comparison

MiniMax-M2.7 vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.7 on the Noometry Index. MiniMax-M2.7 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 October 10, 2026. 24 shared benchmarks.

MiniMax-M2.7

MiniMax

37.7

Rank #196 Confirmed

Muse Spark 1.1

Summary

They share 24 benchmarks with published results for both. MiniMax-M2.7 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 19.7.
The biggest single-benchmark swing is NYT Connections (extended): 24.7% for MiniMax-M2.7 and 84.9% for Muse Spark 1.1.
MiniMax-M2.7 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-M2.7 has downloadable open weights; the other is API-only.

Side by side

MiniMax-M2.7 and Muse Spark 1.1 specifications
	MiniMax-M2.7	Muse Spark 1.1
Provider	MiniMax	Meta
Noometry Index	37.7	49.9
Released	2026-03-18	2026-04-08
Weights	Open	Proprietary
Context window	205K	1.05M
Max output	131K	131K
Input $ / M tokens	$0.30	$1.25
Output $ / M tokens	$1.20	$4.25
Results tracked	30	37

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Category by category

Coding Muse Spark 1.1 leads

MiniMax-M2.7: 41.8 (#120), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.1
LMArena WebDev	1398	1542
SciCode	47%	58.8%
LMArena Coding	1454	1498
DeepSWE	—	53.3%
WeirdML	37%	—
ALE-Bench	599.25	—

Agentic & Tool Use Muse Spark 1.1 leads

MiniMax-M2.7: 25.1 (#111), Muse Spark 1.1: 30.8 (#73)

Agentic & Tool Use benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.1
GBAEval	0%	7.9%
Terminal-Bench	45.1%	—
APEX-Agents	—	31.8%
τ²-bench Banking	—	40.5%
ExploitBench	13.3%	—
GDP.pdf	—	15%
Vending-Bench 2	—	6,520

Reasoning Muse Spark 1.1 leads

MiniMax-M2.7: 19.7 (#253), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.1
NYT Connections (extended)	24.7%	84.9%
CritPt	0.6%	15.1%
LMArena Hard Prompts	1422	1486
Epoch Capabilities Index	145.85	154.21
Thematic Generalization	39.3%	—
DTBench	—	94.4%
LMCA	—	49.9%
Surface Evolver Bench	—	52.5%

Math Muse Spark 1.1 leads

MiniMax-M2.7: 25.9 (#263), Muse Spark 1.1: 45.5 (#76)

Math benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.1
ProofBench	3%	39%
LMArena Math	1420	1483

Knowledge Muse Spark 1.1 leads

MiniMax-M2.7: 37.7 (#152), Muse Spark 1.1: 53.1 (#59)

Knowledge benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.1
LMArena Expert	1444	1478
SimpleQA Verified	—	57.8%
Vectara Hallucination Rate	12.9%	—

Multimodal Not comparable

MiniMax-M2.7: —, Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.1
LMArena Vision	—	1293
LMArena Document	—	1465

Multilingual Muse Spark 1.1 leads

MiniMax-M2.7: 50.3 (#123), Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.1
LMArena Non-English	1382	1472
LMArena Chinese	1441	1518
LMArena French	1421	1494
LMArena German	1398	1466
LMArena Japanese	1262	1451
LMArena Korean	1313	1458
LMArena Russian	1383	1483
LMArena Spanish	1403	1464

Instruction Following Muse Spark 1.1 leads

MiniMax-M2.7: 74.1 (#103), Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.1
LMArena Instruction Following	1405	1457

Long Context Muse Spark 1.1 leads

MiniMax-M2.7: 43.3 (#99), Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.1
LMArena Longer Query	1419	1462

Writing & Preference Muse Spark 1.1 leads

MiniMax-M2.7: 58.9 (#112), Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.1
LMArena Text	1405	1479
LMArena Creative Writing	1354	1437
LMArena Multi-Turn	1412	1485
EQ-Bench Creative Writing	—	1927
EQ-Bench 4	—	1260

Frequently asked questions

Is MiniMax-M2.7 better than Muse Spark 1.1?

Which is cheaper, MiniMax-M2.7 or Muse Spark 1.1?

MiniMax-M2.7 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-M2.7 or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 41.8 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-M2.7 and Muse Spark 1.1 share?

24 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Muse Spark 1.1 has 37.