Enter opens the highlighted result. Esc closes.

Muse Spark 1.2 vs MiniMax M1

Muse Spark 1.2 leads MiniMax M1 on the Artificial Analysis Intelligence Index, 39.6 to 11.7, and MiniMax M1 costs 1.9x less per output token ($2.20 vs $4.25 per million). Updated October 22, 2026; 26 benchmarks have a result for both.

Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
26
MiniMax M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
0
vs boards won of 26 shared

Muse Spark 1.2 or MiniMax M1: which to pick

Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; MiniMax M1 has none, so the two cannot be ranked on coding.

Pick MiniMax M1 for output tokens 1.9x cheaper ($2.20 vs $4.25 per million).

Shared results
26
Muse Spark 1.2 only
71
MiniMax M1 only
3
Like-for-like categories
6 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 M1 not benchmarked.
Widest category
Intelligence, 27.9 points apart on average over 1 shared benchmark.
Widest single gap
LMArena Text: Korean: Muse Spark 1.2 1462 against MiniMax M1 1266, 32.7 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $4.25 against MiniMax M1 $2.20 per million output tokens, 1.9x apart.
Context window
Muse Spark 1.2 takes 1.05M tokens, MiniMax M1 1M.

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 M1Ties
Coding20
Intelligence10
Reasoning30
Math20
Knowledge40
General140
All shared boards260
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark 1.2 and MiniMax M1
BenchmarkMuse Spark 1.2MiniMax M1Leader
LiveBench coding78.2%Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev1534Not measuredOnly Muse Spark 1.2 measured
AA Coding Index72.2Not measuredOnly Muse Spark 1.2 measured
SWE-bench Verified (Vals AI)86.6%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)79.1%Not measuredOnly Muse Spark 1.2 measured
Code migration (Vals AI)29.9%Not measuredOnly Muse Spark 1.2 measured
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%Not measuredOnly Muse Spark 1.2 measured
SkillsBench (Vals AI)53.0%Not measuredOnly Muse Spark 1.2 measured
CyberBench (Vals AI)69.5%Not measuredOnly Muse Spark 1.2 measured
SciCode57.4%Not measuredOnly Muse Spark 1.2 measured
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
WeirdML60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: coding15051359Muse Spark 1.2
LMArena Text: software and IT15051359Muse Spark 1.2
LMArena WebDev: React1526Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev: HTML1543Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark 1.2 and MiniMax M1
BenchmarkMuse Spark 1.2MiniMax M1Leader
AA Intelligence Index39.611.7Muse Spark 1.2
Epoch Capabilities Index155.1Not measuredOnly Muse Spark 1.2 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Muse Spark 1.2 and MiniMax M1
BenchmarkMuse Spark 1.2MiniMax M1Leader
AA Agentic Index43.2Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building web apps1221Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building full-stack apps1210Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building mobile apps1181Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building Android apps1222Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building games1178Not measuredOnly Muse Spark 1.2 measured
Design Arena: HTML slides1074Not measuredOnly Muse Spark 1.2 measured
Design Arena: PowerPoint slides1170Not measuredOnly Muse Spark 1.2 measured
LiveBench research67.7%Not measuredOnly Muse Spark 1.2 measured
LiveBench browser36.0%Not measuredOnly Muse Spark 1.2 measured
LiveBench long agentic21.3%Not measuredOnly Muse Spark 1.2 measured
SREBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.2 measured
Finance Agent (Vals AI)60.6%Not measuredOnly Muse Spark 1.2 measured
Tax Agent Bench (Vals AI)32.8%Not measuredOnly Muse Spark 1.2 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Muse Spark 1.2 measured
Excel Modeling Benchmark (Vals AI)57.0%Not measuredOnly Muse Spark 1.2 measured
BioMysteryBench (Vals AI)64.8%Not measuredOnly Muse Spark 1.2 measured
APEX-Agents45.4%Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Muse Spark 1.2 and MiniMax M1
BenchmarkMuse Spark 1.2MiniMax M1Leader
LiveBench reasoning90.0%Not measuredOnly Muse Spark 1.2 measured
MMMU Pro (Vals AI)86.1%Not measuredOnly Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)90.4%Not measuredOnly Muse Spark 1.2 measured
Humanity's Last Exam (Artificial Analysis run)45.5%Not measuredOnly Muse Spark 1.2 measured
SimpleBench74.5%Not measuredOnly Muse Spark 1.2 measured
Chess puzzles27.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: hard prompts14891339Muse Spark 1.2
LMArena Text: expert14751317Muse Spark 1.2
LMArena Text: hard prompts in English14871353Muse Spark 1.2
LMArena Vision: diagrams1317Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.2 and MiniMax M1
BenchmarkMuse Spark 1.2MiniMax M1Leader
ProofBench43.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: math14841361Muse Spark 1.2
LMArena Text: mathematical work14801363Muse Spark 1.2
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.2 and MiniMax M1
BenchmarkMuse Spark 1.2MiniMax M1Leader
MMLU Pro88.3%Not measuredOnly Muse Spark 1.2 measured
LegalBench (Vals AI)85.3%Not measuredOnly Muse Spark 1.2 measured
CorpFin (Vals AI)70.9%Not measuredOnly Muse Spark 1.2 measured
TaxEval (Vals AI)80.4%Not measuredOnly Muse Spark 1.2 measured
MortgageTax (Vals AI)65.4%Not measuredOnly Muse Spark 1.2 measured
MedCode (Vals AI)49.4%Not measuredOnly Muse Spark 1.2 measured
SimpleQA Verified60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: science15001354Muse Spark 1.2
LMArena Text: medicine and healthcare14961355Muse Spark 1.2
LMArena Text: legal and government15171337Muse Spark 1.2
LMArena Text: business and finance14841319Muse Spark 1.2
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Muse Spark 1.2 and MiniMax M1
BenchmarkMuse Spark 1.2MiniMax M1Leader
Design Arena: websites1312Not measuredOnly Muse Spark 1.2 measured
Design Arena: UI components1299Not measuredOnly Muse Spark 1.2 measured
Design Arena: game dev1300Not measuredOnly Muse Spark 1.2 measured
Design Arena: data viz1334Not measuredOnly Muse Spark 1.2 measured
Design Arena: 3D1300Not measuredOnly Muse Spark 1.2 measured
Design Arena: all code categories1312Not measuredOnly Muse Spark 1.2 measured
Design Arena: SVG1283Not measuredOnly Muse Spark 1.2 measured
Design Arena: ASCII art1284Not measuredOnly Muse Spark 1.2 measured
LiveBench design67.1%Not measuredOnly Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index140
General benchmarks for Muse Spark 1.2 and MiniMax M1
BenchmarkMuse Spark 1.2MiniMax M1Leader
LiveBench data analysis76.5%Not measuredOnly Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)68.5%Not measuredOnly Muse Spark 1.2 measured
SAGE (Vals AI)47.7%Not measuredOnly Muse Spark 1.2 measured
MedScribe (Vals AI)90.1%Not measuredOnly Muse Spark 1.2 measured
Vals Multimodal Index69.8%Not measuredOnly Muse Spark 1.2 measured
Long context reasoning (AA-LCR)79.0%Not measuredOnly Muse Spark 1.2 measured
DTBench94.7%Not measuredOnly Muse Spark 1.2 measured
LMCA48.4%Not measuredOnly Muse Spark 1.2 measured
LMArena Text14821343Muse Spark 1.2
LMArena Text: instruction following14621312Muse Spark 1.2
LMArena Text: creative writing14361297Muse Spark 1.2
LMArena Vision1304Not measuredOnly Muse Spark 1.2 measured
LMArena Text: English14831363Muse Spark 1.2
LMArena Text: non-English14761319Muse Spark 1.2
LMArena Text: Chinese15091360Muse Spark 1.2
LMArena Text: GermanNot measured1350Only MiniMax M1 measured
LMArena Text: JapaneseNot measured1217Only MiniMax M1 measured
LMArena Text: Korean14621266Muse Spark 1.2
LMArena Text: French14951370Muse Spark 1.2
LMArena Text: Spanish14841353Muse Spark 1.2
LMArena Text: Russian14831329Muse Spark 1.2
LMArena Text: PolishNot measured1329Only MiniMax M1 measured
LMArena Text: multi-turn15021335Muse Spark 1.2
LMArena Text: longer queries14731326Muse Spark 1.2
LMArena Text: writing and language14531311Muse Spark 1.2
LMArena Text: entertainment and media14431303Muse Spark 1.2
LMArena Vision: English1291Not measuredOnly Muse Spark 1.2 measured
LMArena Vision: reading text1313Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 20 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 M1
BenchmarkMuse Spark 1.2MiniMax M1Leader
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 M1$0.0015Fits in one request

MiniMax M1 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.2$0.075Fits in one request
MiniMax M1$0.027Fits in one request

MiniMax M1 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.2$0.292Fits in one request
MiniMax M1$0.102Fits in one request

MiniMax M1 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 M1
SpecificationMeta Muse Spark 1.2MiniMax M1
MakerMetaMiniMax
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2026June 17, 2025
Context window1.05M1M
Input $/Mtok$1.25$0.40
Output $/Mtok$4.25$2.20
Coding index55.7Not benchmarked
Independent measurements behind it50
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.2 better than MiniMax M1 for coding?

Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; MiniMax M1 has none, so the two cannot be ranked on coding. Pick MiniMax M1 for output tokens 1.9x cheaper ($2.20 vs $4.25 per million).

Which is cheaper, Muse Spark 1.2 or MiniMax M1?

Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for Muse Spark 1.2 only.

Which has the bigger context window, Muse Spark 1.2 or MiniMax M1?

Muse Spark 1.2, with 1.05M tokens against 1M.

How many benchmarks is the Muse Spark 1.2 vs MiniMax M1 comparison based on?

26 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 M1's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next