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Muse Spark 1.2 vs MiniMax M2.5

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Muse Spark 1.2 Replace MiniMax M2.5
Muse Spark 1.2Meta
Coding
65.1
Overall
39.6
Output $/M
$4.25
47
MiniMax M2.5MiniMax
Coding
59.4
Overall
22.8
Output $/M
$0.95
0
vs boards won of 47 shared

Decision reading

Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 59.4 for MiniMax M2.5.

Pick MiniMax M2.5 when output tokens cost 4.5x less, or when a solved task costs $0.62 against $0.64.

Model AMuse Spark 1.2Meta65.1/1002 independent benchmarks$0.64 per solved taskModel BMiniMax M2.5MiniMax59.4/1002 independent benchmarks$0.62 per solved task
Shared results
47
Muse Spark 1.2 only
50
MiniMax M2.5 only
20
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 1.2 65.1 from 2 benchmarks, MiniMax M2.5 59.4 from 2 benchmarks.
Widest category
Coding, 26.5 points apart on average over 7 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Muse Spark 1.2 79.1% against MiniMax M2.5 14.8%, 64.3 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $4.25 against MiniMax M2.5 $0.95 per million output tokens, 4.5x apart.
Context window
Muse Spark 1.2 takes 1.05M tokens, MiniMax M2.5 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 1.2BarsMiniMax M2.5Ties
Coding70
Intelligence20
Reasoning50
Math30
Knowledge80
Web design70
General150
All shared boards470
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
Coding benchmarks for Muse Spark 1.2 and MiniMax M2.5
BenchmarkMuse Spark 1.2MiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LiveBench coding78.2%Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev15341386Muse Spark 1.2
AA Coding Index72.2Not measuredOnly Muse Spark 1.2 measured
LiveCodeBench (Vals AI)Not measured79.2%Only MiniMax M2.5 measured
SWE-bench Verified (Vals AI)86.6%74.2%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)79.1%14.8%Muse Spark 1.2
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
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only MiniMax M2.5 measured
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
WeirdML60.3%Not measuredOnly Muse Spark 1.2 measured
ALE-BenchNot measured618.2Only MiniMax M2.5 measured
LMArena Text: coding15051380Muse Spark 1.2
LMArena Text: software and IT15051383Muse Spark 1.2
LMArena WebDev: React15261374Muse Spark 1.2
LMArena WebDev: HTML15431414Muse Spark 1.2
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.2 and MiniMax M2.5
BenchmarkMuse Spark 1.2MiniMax M2.5Leader
AA Intelligence Index39.622.8Muse Spark 1.2
Epoch Capabilities Index155.1146.6Muse Spark 1.2
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
Agentic work benchmarks for Muse Spark 1.2 and MiniMax M2.5
BenchmarkMuse Spark 1.2MiniMax M2.5Leader
AA Agentic Index43.2Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building web apps1222Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building full-stack apps1210Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building mobile apps1182Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building Android apps1228Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building games1179Not measuredOnly Muse Spark 1.2 measured
Design Arena: HTML slides1135Not measuredOnly Muse Spark 1.2 measured
Design Arena: PowerPoint slides1198Not 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
τ²-Bench TelecomNot measured95.3%Only MiniMax M2.5 measured
APEX-Agents45.4%Not measuredOnly Muse Spark 1.2 measured
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Muse Spark 1.2 and MiniMax M2.5
BenchmarkMuse Spark 1.2MiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
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%84.8%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)45.5%20.5%Muse Spark 1.2
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
SimpleBench74.5%Not measuredOnly Muse Spark 1.2 measured
Chess puzzles27.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: hard prompts14891372Muse Spark 1.2
LMArena Text: expert14751378Muse Spark 1.2
LMArena Text: hard prompts in English14871384Muse Spark 1.2
LMArena Vision: diagrams1317Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Spark 1.2 and MiniMax M2.5
BenchmarkMuse Spark 1.2MiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
ProofBench43.0%4.0%Muse Spark 1.2
LMArena Text: math14841378Muse Spark 1.2
LMArena Text: mathematical work14801378Muse Spark 1.2
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for Muse Spark 1.2 and MiniMax M2.5
BenchmarkMuse Spark 1.2MiniMax M2.5Leader
MMLU Pro88.3%80.1%Muse Spark 1.2
LegalBench (Vals AI)85.3%80.0%Muse Spark 1.2
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)70.9%59.6%Muse Spark 1.2
TaxEval (Vals AI)80.4%68.2%Muse Spark 1.2
MortgageTax (Vals AI)65.4%Not measuredOnly Muse Spark 1.2 measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 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: science15001369Muse Spark 1.2
LMArena Text: medicine and healthcare14961357Muse Spark 1.2
LMArena Text: legal and government15171366Muse Spark 1.2
LMArena Text: business and finance14841356Muse Spark 1.2
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Muse Spark 1.2 and MiniMax M2.5
BenchmarkMuse Spark 1.2MiniMax M2.5Leader
Design Arena: websites13131222Muse Spark 1.2
Design Arena: UI components13001172Muse Spark 1.2
Design Arena: game dev13021176Muse Spark 1.2
Design Arena: data viz13341171Muse Spark 1.2
Design Arena: 3D13011170Muse Spark 1.2
Design Arena: all code categories13131207Muse Spark 1.2
Design Arena: SVG12851147Muse Spark 1.2
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 index150
General benchmarks for Muse Spark 1.2 and MiniMax M2.5
BenchmarkMuse Spark 1.2MiniMax M2.5Leader
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
IFBenchNot measured71.6%Only MiniMax M2.5 measured
Long context reasoning (AA-LCR)79.0%73.3%Muse Spark 1.2
DTBench94.7%Not measuredOnly Muse Spark 1.2 measured
LMCA48.4%Not measuredOnly Muse Spark 1.2 measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text14821359Muse Spark 1.2
LMArena Text: instruction following14621353Muse Spark 1.2
LMArena Text: creative writing14361331Muse Spark 1.2
LMArena Vision1304Not measuredOnly Muse Spark 1.2 measured
LMArena Text: English14831380Muse Spark 1.2
LMArena Text: non-English14761338Muse Spark 1.2
LMArena Text: Chinese15091393Muse Spark 1.2
LMArena Text: GermanNot measured1361Only MiniMax M2.5 measured
LMArena Text: JapaneseNot measured1171Only MiniMax M2.5 measured
LMArena Text: Korean14621233Muse Spark 1.2
LMArena Text: French14951363Muse Spark 1.2
LMArena Text: Spanish14841353Muse Spark 1.2
LMArena Text: Russian14831359Muse Spark 1.2
LMArena Text: PolishNot measured1334Only MiniMax M2.5 measured
LMArena Text: multi-turn15021364Muse Spark 1.2
LMArena Text: longer queries14731366Muse Spark 1.2
LMArena Text: writing and language14531345Muse Spark 1.2
LMArena Text: entertainment and media14431329Muse 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 15 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 M2.5
BenchmarkMuse Spark 1.2MiniMax M2.5Leader
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 M2.5$0.0007Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.2$0.075Fits in one request
MiniMax M2.5$0.016Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.2$0.292Fits in one request
MiniMax M2.5$0.064Exceeds the context window

MiniMax M2.5 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 M2.5
SpecificationMeta Muse Spark 1.2MiniMax M2.5
MakerMetaMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2026February 12, 2026
Context window1.05M205K
Input $/Mtok$1.25$0.27
Output $/Mtok$4.25$0.95
Coding index65.159.4
Independent measurements behind it22
Cost per solved task$0.64$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.2 better than MiniMax M2.5 for coding?

Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 59.4 for MiniMax M2.5. Pick MiniMax M2.5 when output tokens cost 4.5x less, or when a solved task costs $0.62 against $0.64.

Which is cheaper, Muse Spark 1.2 or MiniMax M2.5?

Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M2.5 costs $0.27 and $0.95. Per solved SWE-bench Verified task, Muse Spark 1.2 costs $0.64 and MiniMax M2.5 $0.62.

Which has the bigger context window, Muse Spark 1.2 or MiniMax M2.5?

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

How many benchmarks is the Muse Spark 1.2 vs MiniMax M2.5 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.2's coding index rests on 2 independent benchmarks and MiniMax M2.5's on 2. 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-m2-5">LLMBenchmark.ai, Muse Spark 1.2 vs MiniMax M2.5</a></p>