Model comparison

MiniMax-M3 vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 43.8 on the Noometry Index. MiniMax-M3 costs 3.8× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.

Last verified October 10, 2026. 31 shared benchmarks.

MiniMax-M3

MiniMax

43.8

Rank #85 Confirmed

Muse Spark 1.3

Summary

They share 31 benchmarks with published results for both. MiniMax-M3 scores higher in 1 category and Muse Spark 1.3 in 9 categories; 10 gaps are clear of the uncertainty.
The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 40.0.
The biggest single-benchmark swing is ProofBench: 18% for MiniMax-M3 and 58% for Muse Spark 1.3.
MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
Muse Spark 1.3 accepts more context: 1.05M tokens versus 1M.
MiniMax-M3 has downloadable open weights; the other is API-only.

Side by side

MiniMax-M3 and Muse Spark 1.3 specifications
	MiniMax-M3	Muse Spark 1.3
Provider	MiniMax	Meta
Noometry Index	43.8	54.8
Released	2026-06-01	2026-09-02
Weights	Open	Proprietary
Context window	1M	1.05M
Max output	512K	131K
Input $ / M tokens	$0.30	$1.25
Output $ / M tokens	$1.20	$4.25
Results tracked	41	37

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Category by category

Coding Muse Spark 1.3 leads

MiniMax-M3: 41.8 (#118), Muse Spark 1.3: 56.6 (#21)

Coding benchmarks
Benchmark	MiniMax-M3	Muse Spark 1.3
LMArena WebDev	1482	1657
SciCode	47.1%	59.7%
LMArena Coding	1469	1514
FrontierCode	14.7%	—
CursorBench	—	41.6%
ALE-Bench	640.02	—

Agentic & Tool Use Muse Spark 1.3 leads

MiniMax-M3: 22.6 (#130), Muse Spark 1.3: 38.6 (#30)

Agentic & Tool Use benchmarks
Benchmark	MiniMax-M3	Muse Spark 1.3
APEX-Agents	37.7%	57.8%
OSWorld 2.0	4.6%	—
GBAEval	0.9%	—
GDP.pdf	—	27.6%
Vending-Bench 2	2,158	—

Reasoning Muse Spark 1.3 leads

MiniMax-M3: 30.1 (#87), Muse Spark 1.3: 54.0 (#27)

Reasoning benchmarks
Benchmark	MiniMax-M3	Muse Spark 1.3
NYT Connections (extended)	65.1%	85.1%
CritPt	3.7%	26%
Chess Puzzles	14%	38%
LMArena Hard Prompts	1447	1503
Mystery Game Puzzles	8%	25%
DTBench	78.9%	96.5%
LMCA	33.7%	53.9%
Epoch Capabilities Index	146.95	156.75
SimpleBench	45.8%	—
Surface Evolver Bench	55%	—
Bench to the Future 3	—	0.14
ForecastBench	61.4	—

Math Muse Spark 1.3 leads

MiniMax-M3: 40.0 (#95), Muse Spark 1.3: 73.1 (#21)

Math benchmarks
Benchmark	MiniMax-M3	Muse Spark 1.3
OTIS Mock AIME 2024-2025	71.1%	99.2%
ProofBench	18%	58%
LMArena Math	1429	1494
FrontierMath (Tiers 1-3)	—	74.4%
FrontierMath Tier 4	—	46.3%

Knowledge MiniMax-M3 leads

MiniMax-M3: 58.4 (#35), Muse Spark 1.3: 42.6 (#95)

Knowledge benchmarks
Benchmark	MiniMax-M3	Muse Spark 1.3
LMArena Expert	1461	1516
GPQA Diamond	90.9%	—

Multimodal Muse Spark 1.3 leads

MiniMax-M3: 40.2 (#51), Muse Spark 1.3: 43.7 (#22)

Multimodal benchmarks
Benchmark	MiniMax-M3	Muse Spark 1.3
LMArena Vision	1253	1309
LMArena Document	1435	1471

Multilingual Muse Spark 1.3 leads

MiniMax-M3: 53.0 (#75), Muse Spark 1.3: 57.4 (#8)

Multilingual benchmarks
Benchmark	MiniMax-M3	Muse Spark 1.3
LMArena Non-English	1420	1481
LMArena Chinese	1463	1529
LMArena French	1447	1524
LMArena German	1426	1515
LMArena Japanese	1381	1474
LMArena Korean	1372	1501
LMArena Russian	1428	1490
LMArena Spanish	1432	1490

Instruction Following Muse Spark 1.3 leads

MiniMax-M3: 75.5 (#62), Muse Spark 1.3: 77.5 (#22)

Instruction Following benchmarks
Benchmark	MiniMax-M3	Muse Spark 1.3
LMArena Instruction Following	1433	1477

Long Context Muse Spark 1.3 leads

MiniMax-M3: 44.2 (#72), Muse Spark 1.3: 45.6 (#32)

Long Context benchmarks
Benchmark	MiniMax-M3	Muse Spark 1.3
LMArena Longer Query	1445	1488

Writing & Preference Muse Spark 1.3 leads

MiniMax-M3: 62.1 (#83), Muse Spark 1.3: 73.6 (#9)

Writing & Preference benchmarks
Benchmark	MiniMax-M3	Muse Spark 1.3
LMArena Text	1433	1490
LMArena Creative Writing	1404	1455
LMArena Multi-Turn	1442	1482
EQ-Bench Creative Writing	—	1906
EQ-Bench 4	1150	—

Frequently asked questions

Is MiniMax-M3 better than Muse Spark 1.3?

Which is cheaper, MiniMax-M3 or Muse Spark 1.3?

MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.

Is MiniMax-M3 or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 41.8 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 1M.

How many benchmarks do MiniMax-M3 and Muse Spark 1.3 share?

31 benchmarks have published results for both models. MiniMax-M3 has 41 scored results on Noometry and Muse Spark 1.3 has 37.