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Muse Spark 1.3 vs MiniMax M2

Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Muse Spark 1.3 Replace MiniMax M2
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
39
MiniMax M2MiniMax
Coding
45.3
Overall
18.6
Output $/M
$1.02
0
vs boards won of 39 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 45.3 for MiniMax M2.

Pick MiniMax M2 when output tokens cost 4.2x less.

Model AMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved taskModel BMiniMax M2MiniMax45.3/1002 independent benchmarks$0.702 per solved task
Shared results
39
Muse Spark 1.3 only
53
MiniMax M2 only
10
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Muse Spark 1.3 79.7 from 2 benchmarks, MiniMax M2 45.3 from 2 benchmarks.
Widest category
Coding, 36.7 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena WebDev: Muse Spark 1.3 1659 against MiniMax M2 1297, 51.7 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against MiniMax M2 $1.02 per million output tokens, 4.2x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, MiniMax M2 205K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryMuse Spark 1.3BarsMiniMax M2Ties
Coding40
Intelligence10
Reasoning50
Math20
Knowledge40
Web design70
General160
All shared boards390
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
Coding benchmarks for Muse Spark 1.3 and MiniMax M2
BenchmarkMuse Spark 1.3MiniMax M2Leader
SWE-bench VerifiedNot measured61.0%Only MiniMax M2 measured
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev16591297Muse Spark 1.3
AA Coding Index75.8Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)82.9%Not measuredOnly Muse Spark 1.3 measured
Code migration (Vals AI)27.6%Not measuredOnly Muse Spark 1.3 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.3 measured
IOI (Vals AI)43.9%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)72.3%Not measuredOnly Muse Spark 1.3 measured
CyberBench (Vals AI)69.4%Not measuredOnly Muse Spark 1.3 measured
LiveCodeBench (Artificial Analysis run)Not measured82.6%Only MiniMax M2 measured
SciCode59.7%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured25.8%Only MiniMax M2 measured
Terminal-BenchNot measured30.0%Only MiniMax M2 measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3Not measuredOnly Muse Spark 1.3 measured
LMArena Text: coding15101371Muse Spark 1.3
LMArena Text: software and IT15111373Muse Spark 1.3
LMArena WebDev: React1672Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev: HTML16531306Muse Spark 1.3
LMArena WebDev: from an image1640Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark 1.3 and MiniMax M2
BenchmarkMuse Spark 1.3MiniMax M2Leader
AA Intelligence Index48.118.6Muse Spark 1.3
Epoch Capabilities Index157.2Not measuredOnly Muse Spark 1.3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Muse Spark 1.3 and MiniMax M2
BenchmarkMuse Spark 1.3MiniMax M2Leader
AA Agentic Index55.5Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building web apps1297Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building full-stack apps1295Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building mobile apps1217Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building Godot games1241Not measuredOnly Muse Spark 1.3 measured
Design Arena: PowerPoint slides1244Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1048Not measuredOnly Muse Spark 1.3 measured
LiveBench research68.6%Not measuredOnly Muse Spark 1.3 measured
LiveBench browser80.0%Not measuredOnly Muse Spark 1.3 measured
LiveBench long agentic40.4%Not measuredOnly Muse Spark 1.3 measured
Finance Agent (Vals AI)58.9%Not measuredOnly Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)36.0%Not measuredOnly Muse Spark 1.3 measured
Legal Research Bench (Vals AI)40.9%Not measuredOnly Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)62.7%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Muse Spark 1.3 measured
τ²-Bench TelecomNot measured86.8%Only MiniMax M2 measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
Vending-Bench 2Not measured$161Only MiniMax M2 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Muse Spark 1.3 and MiniMax M2
BenchmarkMuse Spark 1.3MiniMax M2Leader
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%77.7%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%13.7%Muse Spark 1.3
Chess puzzles37.0%Not measuredOnly Muse Spark 1.3 measured
Mystery game puzzles25.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: hard prompts15031357Muse Spark 1.3
LMArena Text: expert15191338Muse Spark 1.3
LMArena Text: hard prompts in English15001376Muse Spark 1.3
LMArena Vision: diagrams1330Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: homework1296Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.3 and MiniMax M2
BenchmarkMuse Spark 1.3MiniMax M2Leader
AA Math IndexNot measured78.3Only MiniMax M2 measured
AIME 2025 (Artificial Analysis run)Not measured78.3%Only MiniMax M2 measured
OTIS Mock AIME99.2%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tiers 1 to 374.4%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tier 446.3%Not measuredOnly Muse Spark 1.3 measured
ProofBench58.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: math14971351Muse Spark 1.3
LMArena Text: mathematical work14911368Muse Spark 1.3
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.3 and MiniMax M2
BenchmarkMuse Spark 1.3MiniMax M2Leader
MMLU Pro (Artificial Analysis run)Not measured82.0%Only MiniMax M2 measured
LMArena Text: science15071348Muse Spark 1.3
LMArena Text: medicine and healthcare14931367Muse Spark 1.3
LMArena Text: legal and government14991349Muse Spark 1.3
LMArena Text: business and finance14901336Muse Spark 1.3
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Muse Spark 1.3 and MiniMax M2
BenchmarkMuse Spark 1.3MiniMax M2Leader
Design Arena: websites13561144Muse Spark 1.3
Design Arena: UI components13521136Muse Spark 1.3
Design Arena: game dev13291119Muse Spark 1.3
Design Arena: data viz13431140Muse Spark 1.3
Design Arena: 3D13591098Muse Spark 1.3
Design Arena: all code categories13531135Muse Spark 1.3
Design Arena: SVG13001098Muse Spark 1.3
Design Arena: ASCII art1280Not measuredOnly Muse Spark 1.3 measured
LiveBench design74.8%Not measuredOnly Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
General benchmarks for Muse Spark 1.3 and MiniMax M2
BenchmarkMuse Spark 1.3MiniMax M2Leader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
IFBenchNot measured72.3%Only MiniMax M2 measured
Long context reasoning (AA-LCR)83.0%64.3%Muse Spark 1.3
DTBench96.5%Not measuredOnly Muse Spark 1.3 measured
LMCA53.9%Not measuredOnly Muse Spark 1.3 measured
LMArena Text14901340Muse Spark 1.3
LMArena Text: instruction following14791329Muse Spark 1.3
LMArena Text: creative writing14621286Muse Spark 1.3
LMArena Vision1308Not measuredOnly Muse Spark 1.3 measured
LMArena Text: English14951364Muse Spark 1.3
LMArena Text: non-English14811313Muse Spark 1.3
LMArena Text: Chinese15321366Muse Spark 1.3
LMArena Text: German15131357Muse Spark 1.3
LMArena Text: Japanese1470Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Korean1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: French15111336Muse Spark 1.3
LMArena Text: Spanish14961326Muse Spark 1.3
LMArena Text: Russian14911330Muse Spark 1.3
LMArena Text: Polish14901312Muse Spark 1.3
LMArena Text: multi-turn14871361Muse Spark 1.3
LMArena Text: longer queries14881331Muse Spark 1.3
LMArena Text: writing and language14701295Muse Spark 1.3
LMArena Text: entertainment and media14571298Muse Spark 1.3
LMArena Vision: English1298Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: Chinese1384Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: reading text1319Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: humor1293Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: creative writing1296Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.3 and MiniMax M2
BenchmarkMuse Spark 1.3MiniMax M2Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Muse Spark 1.3$0.0034Fits in one request
MiniMax M2$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
MiniMax M2$0.061Exceeds the context window

MiniMax M2 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Muse Spark 1.3 and MiniMax M2
SpecificationMeta Muse Spark 1.3MiniMax M2
MakerMetaMiniMax
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026October 23, 2025
Context window1.05M205K
Input $/Mtok$1.25$0.255
Output $/Mtok$4.25$1.02
Coding index79.745.3
Independent measurements behind it22
Cost per solved taskNot computable$0.702
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than MiniMax M2 for coding?

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 45.3 for MiniMax M2. Pick MiniMax M2 when output tokens cost 4.2x less.

Which is cheaper, Muse Spark 1.3 or MiniMax M2?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, Muse Spark 1.3 or MiniMax M2?

Muse Spark 1.3, with 1.05M tokens against 205K.

How many benchmarks is the Muse Spark 1.3 vs MiniMax M2 comparison based on?

39 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.3's coding index rests on 2 independent benchmarks and MiniMax M2's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/meta-muse-spark-1-3-vs-minimax-minimax-m2" title="Muse Spark 1.3 vs MiniMax M2, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/meta-muse-spark-1-3-vs-minimax-minimax-m2">LLMBenchmark.ai, Muse Spark 1.3 vs MiniMax M2</a></p>