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Muse Spark 1.2 vs MiniMax M3

Muse Spark 1.2 leads MiniMax M3 on coding, 55.7 to 39.2 on the Vibe Coding Index, and MiniMax M3 costs 3.5x less per output token ($1.20 vs $4.25 per million). Updated October 22, 2026; 90 benchmarks have a result for both.

Replace Muse Spark 1.2 Replace MiniMax M3
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
82
MiniMax M3MiniMax
Coding
39.2
Overall
51.7
Output $/M
$1.20
8
vs boards won of 90 shared

Muse Spark 1.2 or MiniMax M3: which to pick

Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 5 benchmarks against 6.

Pick MiniMax M3 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million) and a lower cost per solved task ($0.56 against $0.64).

Model AMuse Spark 1.2Meta55.7/1005 independent benchmarks$0.64 per solved taskModel BMiniMax M3MiniMax39.2/1006 independent benchmarks$0.56 per solved task
Shared results
90
Muse Spark 1.2 only
7
MiniMax M3 only
27
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 1.2 55.7 from 5 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
Widest category
Math, 13.1 points apart on average over 3 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Muse Spark 1.2 79.1% against MiniMax M3 47.6%, 31.5 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $4.25 against MiniMax M3 $1.20 per million output tokens, 3.5x apart.
Context window
Both take 1.05M tokens.

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 1.2BarsMiniMax M3Ties
Coding150
Intelligence20
Agentic work133
Reasoning91
Math30
Knowledge82
Web design90
General232
All shared boards828
CodingLike-for-likeSix of these boards feed the Vibe Coding Index150
Coding benchmarks for Muse Spark 1.2 and MiniMax M3
BenchmarkMuse Spark 1.2MiniMax M3Leader
LiveBench coding78.2%70.9%Muse Spark 1.2
LMArena WebDev15341482Muse Spark 1.2
AA Coding Index72.258.6Muse Spark 1.2
LiveCodeBench (Vals AI)Not measured82.2%Only MiniMax M3 measured
SWE-bench Verified (Vals AI)86.6%75.0%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)6.1%1.0%Muse Spark 1.2
Vibe Code Bench (Vals AI)79.1%47.6%Muse Spark 1.2
Code migration (Vals AI)29.9%19.9%Muse Spark 1.2
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.2 measured
IOI (Vals AI)21.8%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)69.7%53.6%Muse Spark 1.2
SWE-bench Multimodal (Vals AI)Not measured33.3%Only MiniMax M3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured9.2%Only MiniMax M3 measured
SkillsBench (Vals AI)53.0%51.5%Muse Spark 1.2
CyberBench (Vals AI)69.5%65.0%Muse Spark 1.2
SciCode57.4%47.1%Muse Spark 1.2
Terminal-Bench Hard (Artificial Analysis run)Not measured42.4%Only MiniMax M3 measured
FrontierCodeNot measured14.7%Only MiniMax M3 measured
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
WeirdML60.3%Not measuredOnly Muse Spark 1.2 measured
ALE-BenchNot measured640.0Only MiniMax M3 measured
LMArena Text: coding15051470Muse Spark 1.2
LMArena Text: software and IT15051466Muse Spark 1.2
LMArena WebDev: React15261478Muse Spark 1.2
LMArena WebDev: HTML15431455Muse Spark 1.2
LMArena WebDev: from an imageNot measured1470Only MiniMax M3 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.2 and MiniMax M3
BenchmarkMuse Spark 1.2MiniMax M3Leader
AA Intelligence Index39.629.2Muse Spark 1.2
Epoch Capabilities Index155.1146.9Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index133
Agentic work benchmarks for Muse Spark 1.2 and MiniMax M3
BenchmarkMuse Spark 1.2MiniMax M3Leader
AA Agentic Index43.229.5Muse Spark 1.2
Design Arena: agents building web apps12211200Muse Spark 1.2
Design Arena: agents building full-stack apps12101197Muse Spark 1.2
Design Arena: agents building mobile apps11811169Muse Spark 1.2
Design Arena: agents building Android apps12221158Muse Spark 1.2
Design Arena: agents building games11781159Muse Spark 1.2
Design Arena: HTML slides10741120MiniMax M3
Design Arena: PowerPoint slides11701178MiniMax M3
Design Arena: spreadsheetsNot measured1042Only MiniMax M3 measured
LiveBench research67.7%68.0%MiniMax M3
LiveBench browser36.0%8.0%Muse Spark 1.2
LiveBench long agentic21.3%12.4%Muse Spark 1.2
SREBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.2 measured
Finance Agent (Vals AI)60.6%48.3%Muse Spark 1.2
Tax Agent Bench (Vals AI)32.8%20.6%Muse Spark 1.2
Legal Research Bench (Vals AI)43.8%29.8%Muse Spark 1.2
Excel Modeling Benchmark (Vals AI)57.0%47.8%Muse Spark 1.2
BioMysteryBench (Vals AI)64.8%Not measuredOnly Muse Spark 1.2 measured
τ²-Bench TelecomNot measured88.9%Only MiniMax M3 measured
APEX-Agents45.4%37.7%Muse Spark 1.2
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
Vending-Bench 2Not measured$2,158Only MiniMax M3 measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index91
Reasoning benchmarks for Muse Spark 1.2 and MiniMax M3
BenchmarkMuse Spark 1.2MiniMax M3Leader
GPQA DiamondNot measured92.7%Only MiniMax M3 measured
LiveBench reasoning90.0%74.5%Muse Spark 1.2
MMMU Pro (Vals AI)86.1%81.2%Muse Spark 1.2
GPQA Diamond (Artificial Analysis run)90.4%92.9%MiniMax M3
Humanity's Last Exam (Artificial Analysis run)45.5%39.0%Muse Spark 1.2
GPQA Diamond (Epoch AI run)Not measured90.9%Only MiniMax M3 measured
SimpleBench74.5%45.8%Muse Spark 1.2
Chess puzzles27.0%13.0%Muse Spark 1.2
Mystery game puzzlesNot measured8.0%Only MiniMax M3 measured
LMArena Text: hard prompts14891447Muse Spark 1.2
LMArena Text: expert14751461Muse Spark 1.2
LMArena Text: hard prompts in English14871455Muse Spark 1.2
LMArena Vision: diagrams13171266Muse Spark 1.2
LMArena Vision: homeworkNot measured1268Only MiniMax M3 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Spark 1.2 and MiniMax M3
BenchmarkMuse Spark 1.2MiniMax M3Leader
OTIS Mock AIMENot measured71.1%Only MiniMax M3 measured
ProofBench43.0%18.0%Muse Spark 1.2
LMArena Text: math14841429Muse Spark 1.2
LMArena Text: mathematical work14801448Muse Spark 1.2
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index82
Knowledge benchmarks for Muse Spark 1.2 and MiniMax M3
BenchmarkMuse Spark 1.2MiniMax M3Leader
MMLU Pro88.3%84.2%Muse Spark 1.2
LegalBench (Vals AI)85.3%85.4%MiniMax M3
CorpFin (Vals AI)70.9%68.1%Muse Spark 1.2
TaxEval (Vals AI)80.4%72.7%Muse Spark 1.2
MortgageTax (Vals AI)65.4%68.4%MiniMax M3
MedCode (Vals AI)49.4%46.3%Muse Spark 1.2
SimpleQA Verified60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: science15001452Muse Spark 1.2
LMArena Text: medicine and healthcare14961441Muse Spark 1.2
LMArena Text: legal and government15171437Muse Spark 1.2
LMArena Text: business and finance14841434Muse Spark 1.2
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index90
Web design benchmarks for Muse Spark 1.2 and MiniMax M3
BenchmarkMuse Spark 1.2MiniMax M3Leader
Design Arena: websites13121257Muse Spark 1.2
Design Arena: UI components12991243Muse Spark 1.2
Design Arena: game dev13001210Muse Spark 1.2
Design Arena: data viz13341236Muse Spark 1.2
Design Arena: 3D13001208Muse Spark 1.2
Design Arena: all code categories13121246Muse Spark 1.2
Design Arena: SVG12831160Muse Spark 1.2
Design Arena: ASCII art12841161Muse Spark 1.2
LiveBench design67.1%66.2%Muse Spark 1.2
GeneralLike-for-likePublic boards, shown as published, kept out of the index232
General benchmarks for Muse Spark 1.2 and MiniMax M3
BenchmarkMuse Spark 1.2MiniMax M3Leader
LiveBench data analysis76.5%76.2%Muse Spark 1.2
Public Benefits Bench (Vals AI)68.5%64.1%Muse Spark 1.2
SAGE (Vals AI)47.7%50.6%MiniMax M3
MedScribe (Vals AI)90.1%87.3%Muse Spark 1.2
Vals Multimodal Index69.8%60.0%Muse Spark 1.2
IFBenchNot measured82.9%Only MiniMax M3 measured
Long context reasoning (AA-LCR)79.0%83.0%MiniMax M3
DTBench94.7%78.9%Muse Spark 1.2
LMCA48.4%33.7%Muse Spark 1.2
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
LMArena Text14821433Muse Spark 1.2
LMArena Text: instruction following14621433Muse Spark 1.2
LMArena Text: creative writing14361404Muse Spark 1.2
LMArena Vision13041251Muse Spark 1.2
LMArena Text: English14831443Muse Spark 1.2
LMArena Text: non-English14761420Muse Spark 1.2
LMArena Text: Chinese15091466Muse Spark 1.2
LMArena Text: GermanNot measured1428Only MiniMax M3 measured
LMArena Text: JapaneseNot measured1380Only MiniMax M3 measured
LMArena Text: Korean14621373Muse Spark 1.2
LMArena Text: French14951444Muse Spark 1.2
LMArena Text: Spanish14841433Muse Spark 1.2
LMArena Text: Russian14831426Muse Spark 1.2
LMArena Text: PolishNot measured1423Only MiniMax M3 measured
LMArena Text: multi-turn15021443Muse Spark 1.2
LMArena Text: longer queries14731446Muse Spark 1.2
LMArena Text: writing and language14531419Muse Spark 1.2
LMArena Text: entertainment and media14431403Muse Spark 1.2
LMArena Vision: English12911263Muse Spark 1.2
LMArena Vision: ChineseNot measured1311Only MiniMax M3 measured
LMArena Vision: reading text13131259Muse Spark 1.2
LMArena Vision: humorNot measured1235Only MiniMax M3 measured
LMArena Vision: recognizing thingsNot measured1197Only MiniMax M3 measured
LMArena Vision: creative writingNot measured1234Only MiniMax M3 measured
LMArena DocumentNot measured1435Only MiniMax M3 measured
EQ-Bench 4Not measured1150Only MiniMax M3 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.2 and MiniMax M3
BenchmarkMuse Spark 1.2MiniMax M3Leader
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 1.2$0.0034Fits in one request
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.2$0.075Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.2$0.292Fits in one request
MiniMax M3$0.072Fits in one request

MiniMax M3 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 1.2 and MiniMax M3
SpecificationMeta Muse Spark 1.2MiniMax M3
MakerMetaMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2026May 31, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$0.30
Output $/Mtok$4.25$1.20
Coding index55.739.2
Independent measurements behind it56
Cost per solved task$0.64$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.2 better than MiniMax M3 for coding?

Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 5 benchmarks against 6. Pick MiniMax M3 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million) and a lower cost per solved task ($0.56 against $0.64).

Which is cheaper, Muse Spark 1.2 or MiniMax M3?

Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Muse Spark 1.2 costs $0.64 and MiniMax M3 $0.56.

Which has the bigger context window, Muse Spark 1.2 or MiniMax M3?

Neither: both take 1.05M tokens.

How many benchmarks is the Muse Spark 1.2 vs MiniMax M3 comparison based on?

90 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.2's coding index rests on 5 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/meta-muse-spark-1-2-vs-minimax-minimax-m3">LLMBenchmark.ai, Muse Spark 1.2 vs MiniMax M3</a></p>