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Muse Spark 1.1 vs MiniMax M2.5

Muse Spark 1.1 leads MiniMax M2.5 on coding, 70.3 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; 55 benchmarks have a result for both.

Replace Muse Spark 1.1 Replace MiniMax M2.5
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
55
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
0
vs boards won of 55 shared

Muse Spark 1.1 or MiniMax M2.5: which to pick

Pick Muse Spark 1.1 for coding: it scores 70.3 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 1.1Meta70.3/1003 independent benchmarks$0.43 per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
55
Muse Spark 1.1 only
49
MiniMax M2.5 only
16
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 1.1 70.3 from 3 benchmarks, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Agentic work, 40.8 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): Muse Spark 1.1 72.2% against MiniMax M2.5 14.8%, 57.3 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against MiniMax M2.5 $1.20 per million output tokens, 3.5x apart.
Context window
Muse Spark 1.1 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 1.1BarsMiniMax M2.5Ties
Coding100
Intelligence20
Agentic work10
Reasoning60
Math30
Knowledge80
Web design70
General180
All shared boards550
CodingLike-for-likeSix of these boards feed the Vibe Coding Index100
Coding benchmarks for Muse Spark 1.1 and MiniMax M2.5
BenchmarkMuse Spark 1.1MiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDev15421386Muse Spark 1.1
AA Coding Index71.3Not measuredOnly Muse Spark 1.1 measured
LiveCodeBench (Vals AI)85.9%79.2%Muse Spark 1.1
SWE-bench Verified (Vals AI)82.0%74.2%Muse Spark 1.1
Vibe Code Bench (Vals AI)72.2%14.8%Muse Spark 1.1
Code migration (Vals AI)31.1%Not measuredOnly Muse Spark 1.1 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)69.3%Not measuredOnly Muse Spark 1.1 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Muse Spark 1.1 measured
SciCode58.8%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only MiniMax M2.5 measured
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
ALE-BenchNot measured618.2Only MiniMax M2.5 measured
LMArena Text: coding14981380Muse Spark 1.1
LMArena Text: software and IT14981383Muse Spark 1.1
LMArena WebDev: React15321374Muse Spark 1.1
LMArena WebDev: HTML15401414Muse Spark 1.1
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
SWE Atlas: Codebase QnA42.2%10.3%Muse Spark 1.1
SWE Atlas: RefactoringNot measured19.5%Only MiniMax M2.5 measured
SWE Atlas: Test Writing41.5%18.6%Muse Spark 1.1
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.1 and MiniMax M2.5
BenchmarkMuse Spark 1.1MiniMax M2.5Leader
AA Intelligence Index33.722.8Muse Spark 1.1
Epoch Capabilities Index154.1146.6Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Muse Spark 1.1 and MiniMax M2.5
BenchmarkMuse Spark 1.1MiniMax M2.5Leader
AA Agentic Index25.8Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building web apps1207Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building full-stack apps1199Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building mobile apps1175Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Android apps1178Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Godot games1103Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building games1183Not measuredOnly Muse Spark 1.1 measured
Design Arena: HTML slides1145Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1134Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets1021Not measuredOnly Muse Spark 1.1 measured
Finance Agent (Vals AI)57.2%Not measuredOnly Muse Spark 1.1 measured
Legal Research Bench (Vals AI)38.0%Not measuredOnly Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)56.4%Not measuredOnly Muse Spark 1.1 measured
Time Horizon Index (Vals AI)1.7%Not measuredOnly Muse Spark 1.1 measured
τ²-Bench TelecomNot measured95.3%Only MiniMax M2.5 measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
Vending-Bench 2$6,520-$23Muse Spark 1.1
MCP Atlas88.1%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Muse Spark 1.1 and MiniMax M2.5
BenchmarkMuse Spark 1.1MiniMax M2.5Leader
GPQA Diamond91.2%82.1%Muse Spark 1.1
MMMU Pro (Vals AI)86.6%Not measuredOnly Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)89.8%84.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)46.2%20.5%Muse Spark 1.1
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts14851372Muse Spark 1.1
LMArena Text: expert14781378Muse Spark 1.1
LMArena Text: hard prompts in English14801384Muse Spark 1.1
LMArena Vision: diagrams1305Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: homework1287Not measuredOnly Muse Spark 1.1 measured
Kagi LLM BenchmarkNot measured55.2%Only MiniMax M2.5 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Spark 1.1 and MiniMax M2.5
BenchmarkMuse Spark 1.1MiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
ProofBench39.0%4.0%Muse Spark 1.1
LMArena Text: math14821378Muse Spark 1.1
LMArena Text: mathematical work14871378Muse Spark 1.1
MathArena42.5%Not measuredOnly Muse Spark 1.1 measured
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 1.1 and MiniMax M2.5
BenchmarkMuse Spark 1.1MiniMax M2.5Leader
MMLU Pro88.7%80.1%Muse Spark 1.1
LegalBench (Vals AI)85.0%80.0%Muse Spark 1.1
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)71.3%59.6%Muse Spark 1.1
TaxEval (Vals AI)79.7%68.2%Muse Spark 1.1
MortgageTax (Vals AI)66.1%Not measuredOnly Muse Spark 1.1 measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
SimpleQA Verified57.8%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: science14841369Muse Spark 1.1
LMArena Text: medicine and healthcare14791357Muse Spark 1.1
LMArena Text: legal and government14811366Muse Spark 1.1
LMArena Text: business and finance14701356Muse Spark 1.1
PRBench Finance55.0%Not measuredOnly Muse Spark 1.1 measured
PRBench Legal57.0%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Muse Spark 1.1 and MiniMax M2.5
BenchmarkMuse Spark 1.1MiniMax M2.5Leader
Design Arena: websites12701222Muse Spark 1.1
Design Arena: UI components12871170Muse Spark 1.1
Design Arena: game dev12691176Muse Spark 1.1
Design Arena: data viz12671172Muse Spark 1.1
Design Arena: 3D12591170Muse Spark 1.1
Design Arena: all code categories12761207Muse Spark 1.1
Design Arena: SVG12341150Muse Spark 1.1
Design Arena: ASCII art1269Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for Muse Spark 1.1 and MiniMax M2.5
BenchmarkMuse Spark 1.1MiniMax M2.5Leader
Public Benefits Bench (Vals AI)61.3%Not measuredOnly Muse Spark 1.1 measured
SAGE (Vals AI)45.6%Not measuredOnly Muse Spark 1.1 measured
MedScribe (Vals AI)88.9%Not measuredOnly Muse Spark 1.1 measured
Vals Multimodal Index66.7%Not measuredOnly Muse Spark 1.1 measured
IFBenchNot measured71.6%Only MiniMax M2.5 measured
Long context reasoning (AA-LCR)77.7%73.3%Muse Spark 1.1
DTBench94.4%Not measuredOnly Muse Spark 1.1 measured
LMCA49.9%Not measuredOnly Muse Spark 1.1 measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text14781359Muse Spark 1.1
LMArena Text: instruction following14571353Muse Spark 1.1
LMArena Text: creative writing14351331Muse Spark 1.1
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English14781380Muse Spark 1.1
LMArena Text: non-English14711338Muse Spark 1.1
LMArena Text: Chinese15151393Muse Spark 1.1
LMArena Text: German14691361Muse Spark 1.1
LMArena Text: Japanese14501171Muse Spark 1.1
LMArena Text: Korean14591233Muse Spark 1.1
LMArena Text: French14921363Muse Spark 1.1
LMArena Text: Spanish14641353Muse Spark 1.1
LMArena Text: Russian14821359Muse Spark 1.1
LMArena Text: Polish14991334Muse Spark 1.1
LMArena Text: multi-turn14841364Muse Spark 1.1
LMArena Text: longer queries14621366Muse Spark 1.1
LMArena Text: writing and language14481345Muse Spark 1.1
LMArena Text: entertainment and media14381329Muse Spark 1.1
LMArena Vision: English1292Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: Chinese1348Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: reading text1301Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: humor1288Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: creative writing1253Not measuredOnly Muse Spark 1.1 measured
LMArena Document1465Not measuredOnly Muse Spark 1.1 measured
MultiChallenge75.3%Not measuredOnly Muse Spark 1.1 measured
EQ-Bench 41260Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.1 and MiniMax M2.5
BenchmarkMuse Spark 1.1MiniMax 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 1.1$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 1.1$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 1.1$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 1.1 and MiniMax M2.5
SpecificationMeta Muse Spark 1.1MiniMax M2.5
MakerMetaMiniMax
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026February 12, 2026
Context window1.05M205K
Input $/Mtok$1.25$0.30
Output $/Mtok$4.25$1.20
Coding index70.337.2
Independent measurements behind it33
Cost per solved task$0.43$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than MiniMax M2.5 for coding?

Pick Muse Spark 1.1 for coding: it scores 70.3 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 1.1 or MiniMax M2.5?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Muse Spark 1.1 costs $0.43 and MiniMax M2.5 $0.62.

Which has the bigger context window, Muse Spark 1.1 or MiniMax M2.5?

Muse Spark 1.1, with 1.05M tokens against 205K.

How many benchmarks is the Muse Spark 1.1 vs MiniMax M2.5 comparison based on?

55 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.1's coding index rests on 3 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-1-1-vs-minimax-minimax-m2-5">LLMBenchmark.ai, Muse Spark 1.1 vs MiniMax M2.5</a></p>