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Muse Spark 1.2 vs o4 Mini

Muse Spark 1.2 leads o4 Mini on the Artificial Analysis Intelligence Index, 39.6 to 16.7, at about the same output price ($4.25 vs $4.40 per million). Updated October 21, 2026; 55 benchmarks have a result for both.

Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
55
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
0
vs boards won of 55 shared

Muse Spark 1.2 or o4 Mini: which to pick

Only Muse Spark 1.2 has a coding score, 55.7 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
55
Muse Spark 1.2 only
42
o4 Mini only
43
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 1.2 55.7 from 5 benchmarks, o4 Mini not benchmarked.
Widest category
Web design, 43.2 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: Muse Spark 1.2 1302 against o4 Mini 854, 56.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $4.25 against o4 Mini $4.40 per million output tokens, 1.0x apart.
Context window
Muse Spark 1.2 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 1.2Barso4 MiniTies
Coding30
Intelligence20
Reasoning90
Math20
Knowledge110
Web design60
General220
All shared boards550
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Muse Spark 1.2 and o4 Mini
BenchmarkMuse Spark 1.2o4 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 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
LiveCodeBench (Vals AI)Not measured82.2%Only o4 Mini 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
LiveCodeBench (Artificial Analysis run)Not measured85.9%Only o4 Mini measured
SciCode57.4%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured15.2%Only o4 Mini measured
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdML60.3%52.6%Muse Spark 1.2
LMArena Text: coding15051368Muse Spark 1.2
LMArena Text: software and IT15051367Muse Spark 1.2
LMArena WebDev: React1526Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev: HTML1543Not measuredOnly Muse Spark 1.2 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 1.2 and o4 Mini
BenchmarkMuse Spark 1.2o4 MiniLeader
AA Intelligence Index39.616.7Muse Spark 1.2
Epoch Capabilities Index155.1145.5Muse Spark 1.2
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for Muse Spark 1.2 and o4 Mini
BenchmarkMuse Spark 1.2o4 MiniLeader
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 apps1221Not 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 measured55.6%Only o4 Mini measured
APEX-Agents45.4%Not measuredOnly Muse Spark 1.2 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 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Muse Spark 1.2 and o4 Mini
BenchmarkMuse Spark 1.2o4 MiniLeader
GPQA DiamondNot measured74.5%Only o4 Mini measured
LiveBench reasoning90.0%Not measuredOnly Muse Spark 1.2 measured
MMMU Pro (Vals AI)86.1%79.7%Muse Spark 1.2
GPQA Diamond (Artificial Analysis run)90.4%78.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)45.5%16.5%Muse Spark 1.2
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
SimpleBench74.5%38.7%Muse Spark 1.2
Chess puzzles27.0%22.0%Muse Spark 1.2
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts14891351Muse Spark 1.2
LMArena Text: expert14751343Muse Spark 1.2
LMArena Text: hard prompts in English14871366Muse Spark 1.2
LMArena Vision: diagrams13171197Muse Spark 1.2
LMArena Vision: homeworkNot measured1234Only o4 Mini measured
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 index20
Math benchmarks for Muse Spark 1.2 and o4 Mini
BenchmarkMuse Spark 1.2o4 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 AIMENot measured81.7%Only o4 Mini measured
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
ProofBench43.0%Not measuredOnly Muse Spark 1.2 measured
MATH level 5Not measured97.8%Only o4 Mini measured
LMArena Text: math14841389Muse Spark 1.2
LMArena Text: mathematical work14801379Muse Spark 1.2
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for Muse Spark 1.2 and o4 Mini
BenchmarkMuse Spark 1.2o4 MiniLeader
MMLU Pro88.3%80.6%Muse Spark 1.2
LegalBench (Vals AI)85.3%79.2%Muse Spark 1.2
CorpFin (Vals AI)70.9%59.0%Muse Spark 1.2
TaxEval (Vals AI)80.4%74.8%Muse Spark 1.2
MortgageTax (Vals AI)65.4%64.8%Muse Spark 1.2
MedQA (Vals AI)Not measured96.0%Only o4 Mini measured
MedCode (Vals AI)49.4%33.8%Muse Spark 1.2
MMLU Pro (Artificial Analysis run)Not measured83.2%Only o4 Mini measured
SimpleQA Verified60.3%19.6%Muse Spark 1.2
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science15001354Muse Spark 1.2
LMArena Text: medicine and healthcare14961361Muse Spark 1.2
LMArena Text: legal and government15171350Muse Spark 1.2
LMArena Text: business and finance14841325Muse Spark 1.2
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 1.2 and o4 Mini
BenchmarkMuse Spark 1.2o4 MiniLeader
Design Arena: websites1313985Muse Spark 1.2
Design Arena: UI components1301983Muse Spark 1.2
Design Arena: game dev13011003Muse Spark 1.2
Design Arena: data viz1334990Muse Spark 1.2
Design Arena: 3D1302854Muse Spark 1.2
Design Arena: all code categories1313976Muse Spark 1.2
Design Arena: SVG1286Not measuredOnly Muse Spark 1.2 measured
Design Arena: ASCII art1283Not 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 index220
General benchmarks for Muse Spark 1.2 and o4 Mini
BenchmarkMuse Spark 1.2o4 MiniLeader
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%41.1%Muse Spark 1.2
MedScribe (Vals AI)90.1%69.1%Muse Spark 1.2
Vals Multimodal Index69.8%Not measuredOnly Muse Spark 1.2 measured
IFBenchNot measured68.7%Only o4 Mini measured
Long context reasoning (AA-LCR)79.0%61.0%Muse Spark 1.2
DTBench94.7%77.6%Muse Spark 1.2
LMCA48.4%26.5%Muse Spark 1.2
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
LMArena Text14821353Muse Spark 1.2
LMArena Text: instruction following14621320Muse Spark 1.2
LMArena Text: creative writing14361294Muse Spark 1.2
LMArena Vision13041194Muse Spark 1.2
LMArena Text: English14831367Muse Spark 1.2
LMArena Text: non-English14761337Muse Spark 1.2
LMArena Text: Chinese15091354Muse Spark 1.2
LMArena Text: GermanNot measured1336Only o4 Mini measured
LMArena Text: JapaneseNot measured1308Only o4 Mini measured
LMArena Text: Korean14621312Muse Spark 1.2
LMArena Text: French14951364Muse Spark 1.2
LMArena Text: Spanish14841346Muse Spark 1.2
LMArena Text: Russian14831334Muse Spark 1.2
LMArena Text: PolishNot measured1358Only o4 Mini measured
LMArena Text: multi-turn15021350Muse Spark 1.2
LMArena Text: longer queries14731315Muse Spark 1.2
LMArena Text: writing and language14531316Muse Spark 1.2
LMArena Text: entertainment and media14431308Muse Spark 1.2
LMArena Vision: English12911200Muse Spark 1.2
LMArena Vision: ChineseNot measured1218Only o4 Mini measured
LMArena Vision: reading text13131197Muse Spark 1.2
LMArena Vision: humorNot measured1199Only o4 Mini measured
LMArena Vision: captioningNot measured1204Only o4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only o4 Mini measured
LMArena Vision: creative writingNot measured1166Only o4 Mini measured
Neither model has a result on the other 10 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 o4 Mini
BenchmarkMuse Spark 1.2o4 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 1.2$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 1.2$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 1.2$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 1.2 and o4 Mini
SpecificationMeta Muse Spark 1.2OpenAI o4 Mini
MakerMetaOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2026April 16, 2025
Context window1.05M200K
Input $/Mtok$1.25$1.10
Output $/Mtok$4.25$4.40
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 o4 Mini for coding?

Only Muse Spark 1.2 has a coding score, 55.7 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 1.2 or o4 Mini?

Muse Spark 1.2 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 Muse Spark 1.2 only.

Which has the bigger context window, Muse Spark 1.2 or o4 Mini?

Muse Spark 1.2, with 1.05M tokens against 200K.

How many benchmarks is the Muse Spark 1.2 vs o4 Mini comparison based on?

55 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.2's coding index rests on 5 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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