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Muse Spark 1.3 vs MiniMax M2.5

Muse Spark 1.3 leads MiniMax M2.5 on coding, 57.4 to 37.2 on the Vibe Coding Index, and MiniMax M2.5 costs 3.5x less per output token ($1.20 vs $4.25 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Replace Muse Spark 1.3 Replace MiniMax M2.5
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
46
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
0
vs boards won of 46 shared

Muse Spark 1.3 or MiniMax M2.5: which to pick

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 37.2 for MiniMax M2.5.

Pick MiniMax M2.5 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million).

Model AMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
46
Muse Spark 1.3 only
50
MiniMax M2.5 only
25
Like-for-like categories
7 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 1.3 57.4 from 4 benchmarks, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Coding, 36.3 points apart on average over 7 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Muse Spark 1.3 82.9% against MiniMax M2.5 14.8%, 68.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against MiniMax M2.5 $1.20 per million output tokens, 3.5x apart.
Context window
Muse Spark 1.3 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 1.3BarsMiniMax M2.5Ties
Coding70
Intelligence20
Reasoning50
Math30
Knowledge40
Web design70
General180
All shared boards460
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Muse Spark 1.3 and MiniMax M2.5
BenchmarkMuse Spark 1.3MiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev16591386Muse Spark 1.3
AA Coding Index75.8Not measuredOnly Muse Spark 1.3 measured
LiveCodeBench (Vals AI)Not measured79.2%Only MiniMax M2.5 measured
SWE-bench Verified (Vals AI)Not measured74.2%Only MiniMax M2.5 measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)82.9%14.8%Muse Spark 1.3
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
SciCode59.7%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only MiniMax M2.5 measured
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3618.2Muse Spark 1.3
LMArena Text: coding15101380Muse Spark 1.3
LMArena Text: software and IT15111383Muse Spark 1.3
LMArena WebDev: React16721374Muse Spark 1.3
LMArena WebDev: HTML16531414Muse Spark 1.3
LMArena WebDev: from an image1640Not measuredOnly Muse Spark 1.3 measured
SWE Atlas: Codebase QnANot measured10.3%Only MiniMax M2.5 measured
SWE Atlas: RefactoringNot measured19.5%Only MiniMax M2.5 measured
SWE Atlas: Test WritingNot measured18.6%Only MiniMax M2.5 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.3 and MiniMax M2.5
BenchmarkMuse Spark 1.3MiniMax M2.5Leader
AA Intelligence Index48.122.8Muse Spark 1.3
Epoch Capabilities Index157.2146.6Muse Spark 1.3
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 M2.5
BenchmarkMuse Spark 1.3MiniMax M2.5Leader
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 slides1217Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1075Not 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 measured95.3%Only MiniMax M2.5 measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Muse Spark 1.3 and MiniMax M2.5
BenchmarkMuse Spark 1.3MiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%84.8%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%20.5%Muse Spark 1.3
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
Chess puzzles37.0%Not measuredOnly Muse Spark 1.3 measured
Mystery game puzzles25.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: hard prompts15031372Muse Spark 1.3
LMArena Text: expert15191378Muse Spark 1.3
LMArena Text: hard prompts in English15001384Muse Spark 1.3
LMArena Vision: diagrams1330Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: homework1296Not measuredOnly Muse Spark 1.3 measured
Kagi LLM BenchmarkNot measured55.2%Only MiniMax M2.5 measured
Humanity's Last Exam (Scale run)25.4%Not measuredOnly Muse Spark 1.3 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 1.3 and MiniMax M2.5
BenchmarkMuse Spark 1.3MiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 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%4.0%Muse Spark 1.3
LMArena Text: math14971378Muse Spark 1.3
LMArena Text: mathematical work14911378Muse Spark 1.3
MathArena43.0%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.3 and MiniMax M2.5
BenchmarkMuse Spark 1.3MiniMax M2.5Leader
MMLU ProNot measured80.1%Only MiniMax M2.5 measured
LegalBench (Vals AI)Not measured80.0%Only MiniMax M2.5 measured
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)Not measured59.6%Only MiniMax M2.5 measured
TaxEval (Vals AI)Not measured68.2%Only MiniMax M2.5 measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
LMArena Text: science15071369Muse Spark 1.3
LMArena Text: medicine and healthcare14931357Muse Spark 1.3
LMArena Text: legal and government14991366Muse Spark 1.3
LMArena Text: business and finance14901356Muse Spark 1.3
PRBench Finance59.5%Not measuredOnly Muse Spark 1.3 measured
PRBench Legal61.6%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 8 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 M2.5
BenchmarkMuse Spark 1.3MiniMax M2.5Leader
Design Arena: websites13561222Muse Spark 1.3
Design Arena: UI components13501170Muse Spark 1.3
Design Arena: game dev13281176Muse Spark 1.3
Design Arena: data viz13441172Muse Spark 1.3
Design Arena: 3D13581170Muse Spark 1.3
Design Arena: all code categories13521207Muse Spark 1.3
Design Arena: SVG13011150Muse Spark 1.3
Design Arena: ASCII art1283Not 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 index180
General benchmarks for Muse Spark 1.3 and MiniMax M2.5
BenchmarkMuse Spark 1.3MiniMax M2.5Leader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
IFBenchNot measured71.6%Only MiniMax M2.5 measured
Long context reasoning (AA-LCR)83.0%73.3%Muse Spark 1.3
DTBench96.5%Not measuredOnly Muse Spark 1.3 measured
LMCA53.9%Not measuredOnly Muse Spark 1.3 measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text14901359Muse Spark 1.3
LMArena Text: instruction following14791353Muse Spark 1.3
LMArena Text: creative writing14621331Muse Spark 1.3
LMArena Vision1308Not measuredOnly Muse Spark 1.3 measured
LMArena Text: English14951380Muse Spark 1.3
LMArena Text: non-English14811338Muse Spark 1.3
LMArena Text: Chinese15321393Muse Spark 1.3
LMArena Text: German15131361Muse Spark 1.3
LMArena Text: Japanese14701171Muse Spark 1.3
LMArena Text: Korean14901233Muse Spark 1.3
LMArena Text: French15111363Muse Spark 1.3
LMArena Text: Spanish14961353Muse Spark 1.3
LMArena Text: Russian14911359Muse Spark 1.3
LMArena Text: Polish14901334Muse Spark 1.3
LMArena Text: multi-turn14871364Muse Spark 1.3
LMArena Text: longer queries14881366Muse Spark 1.3
LMArena Text: writing and language14701345Muse Spark 1.3
LMArena Text: entertainment and media14571329Muse 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 M2.5
BenchmarkMuse Spark 1.3MiniMax 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 1.3$0.0034Fits in one request
MiniMax M2.5$0.0009Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
MiniMax M2.5$0.019Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
MiniMax M2.5$0.072Exceeds 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 1.3 and MiniMax M2.5
SpecificationMeta Muse Spark 1.3MiniMax M2.5
MakerMetaMiniMax
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026February 12, 2026
Context window1.05M205K
Input $/Mtok$1.25$0.30
Output $/Mtok$4.25$1.20
Coding index57.437.2
Independent measurements behind it43
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than MiniMax M2.5 for coding?

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 37.2 for MiniMax M2.5. Pick MiniMax M2.5 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million).

Which is cheaper, Muse Spark 1.3 or MiniMax M2.5?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, Muse Spark 1.3 or MiniMax M2.5?

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

How many benchmarks is the Muse Spark 1.3 vs MiniMax M2.5 comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks and MiniMax M2.5's on 3. 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-1-3-vs-minimax-minimax-m2-5">LLMBenchmark.ai, Muse Spark 1.3 vs MiniMax M2.5</a></p>