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Muse Spark 1.3 vs o4 Mini

Muse Spark 1.3 leads o4 Mini on the Artificial Analysis Intelligence Index, 48.1 to 16.7, at about the same output price ($4.25 vs $4.40 per million). Updated October 22, 2026; 54 benchmarks have a result for both.

Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
54
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
0
vs boards won of 54 shared

Muse Spark 1.3 or o4 Mini: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
54
Muse Spark 1.3 only
38
o4 Mini only
44
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, o4 Mini not benchmarked.
Widest category
Web design, 47.8 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: Muse Spark 1.3 1358 against o4 Mini 854, 63.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against o4 Mini $4.40 per million output tokens, 1.0x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, o4 Mini 200K.

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 1.3Barso4 MiniTies
Coding20
Intelligence20
Reasoning90
Math50
Knowledge40
Web design60
General260
All shared boards540
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark 1.3 and o4 Mini
BenchmarkMuse Spark 1.3o4 MiniLeader
Aider polyglotNot measured72.0%Only o4 Mini measured
SWE-bench VerifiedNot measured64.6%Only o4 Mini measured
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev1659Not measuredOnly Muse Spark 1.3 measured
AA Coding Index75.8Not measuredOnly Muse Spark 1.3 measured
LiveCodeBench (Vals AI)Not measured82.2%Only o4 Mini measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)82.9%Not measuredOnly Muse Spark 1.3 measured
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
LiveCodeBench (Artificial Analysis run)Not measured85.9%Only o4 Mini measured
SciCode59.7%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured15.2%Only o4 Mini measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdMLNot measured52.6%Only o4 Mini measured
ALE-Bench1688.3Not measuredOnly Muse Spark 1.3 measured
LMArena Text: coding15101368Muse Spark 1.3
LMArena Text: software and IT15111367Muse Spark 1.3
LMArena WebDev: React1672Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev: HTML1653Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev: from an image1640Not measuredOnly Muse Spark 1.3 measured
SciCodeNot measured10.8%Only o4 Mini measured
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.3 and o4 Mini
BenchmarkMuse Spark 1.3o4 MiniLeader
AA Intelligence Index48.116.7Muse Spark 1.3
Epoch Capabilities Index157.2145.5Muse Spark 1.3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
Agentic work benchmarks for Muse Spark 1.3 and o4 Mini
BenchmarkMuse Spark 1.3o4 MiniLeader
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 apps1218Not measuredOnly Muse Spark 1.3 measured
Design Arena: agents building Godot games1241Not measuredOnly Muse Spark 1.3 measured
Design Arena: PowerPoint slides1219Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1062Not 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 measured55.6%Only o4 Mini measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
METR time horizonsNot measured63.9%Only o4 Mini measured
Berkeley Function Calling Leaderboard (BFCL)Not measured53.2%Only o4 Mini measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Muse Spark 1.3 and o4 Mini
BenchmarkMuse Spark 1.3o4 MiniLeader
GPQA DiamondNot measured74.5%Only o4 Mini measured
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)94.1%78.4%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%16.5%Muse Spark 1.3
GPQA Diamond (Epoch AI run)Not measured79.6%Only o4 Mini measured
ARC-AGINot measured58.7%Only o4 Mini measured
ARC-AGI-2Not measured6.1%Only o4 Mini measured
SimpleBenchNot measured38.7%Only o4 Mini measured
Chess puzzles37.0%22.0%Muse Spark 1.3
Mystery game puzzles25.0%5.0%Muse Spark 1.3
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts15031351Muse Spark 1.3
LMArena Text: expert15191343Muse Spark 1.3
LMArena Text: hard prompts in English15001366Muse Spark 1.3
LMArena Vision: diagrams13301197Muse Spark 1.3
LMArena Vision: homework12961234Muse Spark 1.3
Kagi LLM BenchmarkNot measured67.6%Only o4 Mini measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Muse Spark 1.3 and o4 Mini
BenchmarkMuse Spark 1.3o4 MiniLeader
AIMENot measured83.7%Only o4 Mini measured
MATH 500 (Vals AI)Not measured94.2%Only o4 Mini measured
MGSM (Vals AI)Not measured93.4%Only o4 Mini measured
AA Math IndexNot measured90.7Only o4 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only o4 Mini measured
OTIS Mock AIME99.2%81.7%Muse Spark 1.3
FrontierMath, tiers 1 to 374.4%36.1%Muse Spark 1.3
FrontierMath, tier 446.3%4.9%Muse Spark 1.3
ProofBench58.0%Not measuredOnly Muse Spark 1.3 measured
MATH level 5Not measured97.8%Only o4 Mini measured
LMArena Text: math14971389Muse Spark 1.3
LMArena Text: mathematical work14911379Muse Spark 1.3
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.3 and o4 Mini
BenchmarkMuse Spark 1.3o4 MiniLeader
MMLU ProNot measured80.6%Only o4 Mini measured
LegalBench (Vals AI)Not measured79.2%Only o4 Mini measured
CorpFin (Vals AI)Not measured59.0%Only o4 Mini measured
TaxEval (Vals AI)Not measured74.8%Only o4 Mini measured
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)Not measured96.0%Only o4 Mini measured
MedCode (Vals AI)Not measured33.8%Only o4 Mini measured
MMLU Pro (Artificial Analysis run)Not measured83.2%Only o4 Mini measured
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science15071354Muse Spark 1.3
LMArena Text: medicine and healthcare14931361Muse Spark 1.3
LMArena Text: legal and government14991350Muse Spark 1.3
LMArena Text: business and finance14901325Muse Spark 1.3
FACTS Benchmark SuiteNot measured28.1%Only o4 Mini measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Muse Spark 1.3 and o4 Mini
BenchmarkMuse Spark 1.3o4 MiniLeader
Design Arena: websites1356985Muse Spark 1.3
Design Arena: UI components1349983Muse Spark 1.3
Design Arena: game dev13281003Muse Spark 1.3
Design Arena: data viz1343991Muse Spark 1.3
Design Arena: 3D1358854Muse Spark 1.3
Design Arena: all code categories1352976Muse Spark 1.3
Design Arena: SVG1301Not measuredOnly Muse Spark 1.3 measured
Design Arena: ASCII art1278Not 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 index260
General benchmarks for Muse Spark 1.3 and o4 Mini
BenchmarkMuse Spark 1.3o4 MiniLeader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)Not measured69.1%Only o4 Mini measured
IFBenchNot measured68.7%Only o4 Mini measured
Long context reasoning (AA-LCR)83.0%61.0%Muse Spark 1.3
DTBench96.5%77.6%Muse Spark 1.3
LMCA53.9%26.5%Muse Spark 1.3
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
LMArena Text14901353Muse Spark 1.3
LMArena Text: instruction following14791320Muse Spark 1.3
LMArena Text: creative writing14621294Muse Spark 1.3
LMArena Vision13081194Muse Spark 1.3
LMArena Text: English14951367Muse Spark 1.3
LMArena Text: non-English14811337Muse Spark 1.3
LMArena Text: Chinese15321354Muse Spark 1.3
LMArena Text: German15131336Muse Spark 1.3
LMArena Text: Japanese14701308Muse Spark 1.3
LMArena Text: Korean14901312Muse Spark 1.3
LMArena Text: French15111364Muse Spark 1.3
LMArena Text: Spanish14961346Muse Spark 1.3
LMArena Text: Russian14911334Muse Spark 1.3
LMArena Text: Polish14901358Muse Spark 1.3
LMArena Text: multi-turn14871350Muse Spark 1.3
LMArena Text: longer queries14881315Muse Spark 1.3
LMArena Text: writing and language14701316Muse Spark 1.3
LMArena Text: entertainment and media14571308Muse Spark 1.3
LMArena Vision: English12981200Muse Spark 1.3
LMArena Vision: Chinese13841218Muse Spark 1.3
LMArena Vision: reading text13191197Muse Spark 1.3
LMArena Vision: humor12931199Muse Spark 1.3
LMArena Vision: captioningNot measured1204Only o4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only o4 Mini measured
LMArena Vision: creative writing12961166Muse Spark 1.3
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 1.3 and o4 Mini
BenchmarkMuse Spark 1.3o4 MiniLeader
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
o4 Mini$0.0033Fits in one request

o4 Mini costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
o4 Mini$0.068Fits in one request

o4 Mini costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
o4 Mini$0.264Exceeds the context window

o4 Mini 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 o4 Mini
SpecificationMeta Muse Spark 1.3OpenAI o4 Mini
MakerMetaOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026April 16, 2025
Context window1.05M200K
Input $/Mtok$1.25$1.10
Output $/Mtok$4.25$4.40
Coding index57.4Not benchmarked
Independent measurements behind it40
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than o4 Mini for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Muse Spark 1.3 or o4 Mini?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark 1.3 or o4 Mini?

Muse Spark 1.3, with 1.05M tokens against 200K.

How many benchmarks is the Muse Spark 1.3 vs o4 Mini comparison based on?

54 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 o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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