Model comparison

MiniMax-M2.7 vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 37.4 on the Noometry Index. MiniMax-M2.7 costs 3.8× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

Last verified October 10, 2026. 18 shared benchmarks.

MiniMax-M2.7

MiniMax

37.4

Rank #188 Confirmed

Muse Spark 1.2

Summary

They share 18 benchmarks with published results for both. MiniMax-M2.7 scores higher in 0 categories and Muse Spark 1.2 in 9 categories; 9 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Muse Spark 1.2 leads 50.4 to 19.0.
The biggest single-benchmark swing is NYT Connections (extended): 24.7% for MiniMax-M2.7 and 79.2% for Muse Spark 1.2.
MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
Muse Spark 1.2 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 1.2 specifications
	MiniMax-M2.7	Muse Spark 1.2
Provider	MiniMax	Meta
Noometry Index	37.4	49.8
Released	2026-03-18	2026-08-05
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	28

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Muse Spark 1.2 leads

MiniMax-M2.7: 41.4 (#115), Muse Spark 1.2: 48.6 (#49)

Coding benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.2
LMArena WebDev	1397	1532
SciCode	47%	56.4%
WeirdML	37%	60.3%
LMArena Coding	1454	1497
DeepSWE	—	54.9%
FrontierSWE	—	12%
ALE-Bench	599.25	—

Agentic & Tool Use Muse Spark 1.2 leads

MiniMax-M2.7: 24.9 (#103), Muse Spark 1.2: 29.5 (#77)

Agentic & Tool Use benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.2
Terminal-Bench	45.1%	—
APEX-Agents	—	36.4%
ExploitBench	13.3%	—
GBAEval	0%	—
GDP.pdf	—	16%

Reasoning Muse Spark 1.2 leads

MiniMax-M2.7: 19.0 (#248), Muse Spark 1.2: 50.4 (#32)

Reasoning benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.2
NYT Connections (extended)	24.7%	79.2%
CritPt	0.6%	17.7%
LMArena Hard Prompts	1422	1490
Epoch Capabilities Index	145.84	155.18
SimpleBench	—	74.5%
Thematic Generalization	39.3%	—
DTBench	—	94.7%
LMCA	—	48.4%

Math Muse Spark 1.2 leads

MiniMax-M2.7: 24.9 (#254), Muse Spark 1.2: 43.8 (#68)

Math benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.2
ProofBench	3%	43%
LMArena Math	1420	—

Knowledge Muse Spark 1.2 leads

MiniMax-M2.7: 37.1 (#151), Muse Spark 1.2: 53.9 (#49)

Knowledge benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.2
LMArena Expert	1443	1485
SimpleQA Verified	—	60.3%
Vectara Hallucination Rate	12.9%	—

Multimodal Not comparable

MiniMax-M2.7: —, Muse Spark 1.2: 42.6 (#24)

Multimodal benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.2
LMArena Vision	—	1304

Multilingual Muse Spark 1.2 leads

MiniMax-M2.7: 50.5 (#120), Muse Spark 1.2: 57.4 (#10)

Multilingual benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.2
LMArena Non-English	1382	1479
LMArena Chinese	1439	1519
LMArena Russian	1383	1494
LMArena French	1422	—
LMArena German	1398	—
LMArena Japanese	1261	—
LMArena Korean	1313	—
LMArena Spanish	1403	—

Instruction Following Muse Spark 1.2 leads

MiniMax-M2.7: 74.2 (#101), Muse Spark 1.2: 77.1 (#30)

Instruction Following benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.2
LMArena Instruction Following	1404	1466

Long Context Muse Spark 1.2 leads

MiniMax-M2.7: 43.3 (#94), Muse Spark 1.2: 45.4 (#35)

Long Context benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.2
LMArena Longer Query	1419	1483

Writing & Preference Muse Spark 1.2 leads

MiniMax-M2.7: 59.1 (#107), Muse Spark 1.2: 72.6 (#14)

Writing & Preference benchmarks
Benchmark	MiniMax-M2.7	Muse Spark 1.2
LMArena Text	1404	1486
LMArena Creative Writing	1354	1444
LMArena Multi-Turn	1413	1504
EQ-Bench Creative Writing	—	1840

Frequently asked questions

Is MiniMax-M2.7 better than Muse Spark 1.2?

Which is cheaper, MiniMax-M2.7 or Muse Spark 1.2?

MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Is MiniMax-M2.7 or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 205K.

How many benchmarks do MiniMax-M2.7 and Muse Spark 1.2 share?

18 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Muse Spark 1.2 has 28.