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Muse Spark 1.1 vs o3

Muse Spark 1.1 leads o3 on the Artificial Analysis Intelligence Index, 33.7 to 20.2, and Muse Spark 1.1 costs 1.9x less per output token ($4.25 vs $8.00 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
59
o3OpenAI
Coding
No data
Overall
51.1
Output $/M
$8.00
1
vs boards won of 60 shared

Muse Spark 1.1 or o3: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding.

Pick o3 for work measured by Chess puzzles, where it leads.

Shared results
60
Muse Spark 1.1 only
36
o3 only
42
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 1.1 70.3 from 3 benchmarks, o3 not benchmarked.
Widest category
Web design, 26.6 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: UI components: Muse Spark 1.1 1289 against o3 1017, 34.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against o3 $8.00 per million output tokens, 1.9x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, o3 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 1.1Barso3Ties
Coding30
Intelligence20
Reasoning91
Math20
Knowledge100
Web design50
General280
All shared boards591
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Muse Spark 1.1 and o3
BenchmarkMuse Spark 1.1o3Leader
Aider polyglotNot measured81.3%Only o3 measured
SWE-bench VerifiedNot measured58.4%Only o3 measured
SWE-bench MultimodalNot measured36.0%Only o3 measured
LMArena WebDev1542Not measuredOnly Muse Spark 1.1 measured
AA Coding Index71.3Not measuredOnly Muse Spark 1.1 measured
LiveCodeBench (Vals AI)85.9%83.9%Muse Spark 1.1
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Muse Spark 1.1 measured
Vibe Code Bench (Vals AI)72.2%Not measuredOnly Muse Spark 1.1 measured
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
LiveCodeBench (Artificial Analysis run)Not measured80.8%Only o3 measured
SciCode58.8%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured37.1%Only o3 measured
GSO-BenchNot measured8.8%Only o3 measured
WeirdMLNot measured52.4%Only o3 measured
ALE-BenchNot measured933.5Only o3 measured
LMArena Text: coding14981407Muse Spark 1.1
LMArena Text: software and IT14981415Muse Spark 1.1
LMArena WebDev: React1532Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: HTML1540Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
SciCodeNot measured9.2%Only o3 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.1 and o3
BenchmarkMuse Spark 1.1o3Leader
AA Intelligence Index33.720.2Muse Spark 1.1
Epoch Capabilities Index154.1146.7Muse Spark 1.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
Agentic work benchmarks for Muse Spark 1.1 and o3
BenchmarkMuse Spark 1.1o3Leader
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 slides1195Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1155Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets1042Not 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 measured80.7%Only o3 measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
METR time horizonsNot measured65.4%Only o3 measured
GDPvalNot measured30.8%Only o3 measured
DeepResearch BenchNot measured45.2%Only o3 measured
OSWorldNot measured23.0%Only o3 measured
Vending-Bench 2$6,520Not measuredOnly Muse Spark 1.1 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured63.0%Only o3 measured
BrowseComp-PlusNot measured65.9%Only o3 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index91
Reasoning benchmarks for Muse Spark 1.1 and o3
BenchmarkMuse Spark 1.1o3Leader
GPQA Diamond91.2%84.1%Muse Spark 1.1
MMMU Pro (Vals AI)86.6%80.4%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)89.8%82.7%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)46.2%20.1%Muse Spark 1.1
GPQA Diamond (Epoch AI run)Not measured81.8%Only o3 measured
ARC-AGINot measured60.8%Only o3 measured
ARC-AGI-2Not measured6.5%Only o3 measured
SimpleBenchNot measured53.1%Only o3 measured
Chess puzzles34.0%37.0%o3
Mystery game puzzlesNot measured29.0%Only o3 measured
VPCTNot measured52.0%Only o3 measured
LMArena Text: hard prompts14851402Muse Spark 1.1
LMArena Text: expert14781402Muse Spark 1.1
LMArena Text: hard prompts in English14801411Muse Spark 1.1
LMArena Vision: diagrams13051220Muse Spark 1.1
LMArena Vision: homework12871234Muse Spark 1.1
Kagi LLM BenchmarkNot measured67.6%Only o3 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.1 and o3
BenchmarkMuse Spark 1.1o3Leader
AIMENot measured85.3%Only o3 measured
MATH 500 (Vals AI)Not measured94.6%Only o3 measured
MGSM (Vals AI)Not measured91.8%Only o3 measured
AA Math IndexNot measured88.3Only o3 measured
AIME 2025 (Artificial Analysis run)Not measured88.3%Only o3 measured
OTIS Mock AIMENot measured84.4%Only o3 measured
FrontierMath, tiers 1 to 3Not measured33.3%Only o3 measured
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
MATH level 5Not measured97.8%Only o3 measured
LMArena Text: math14821426Muse Spark 1.1
LMArena Text: mathematical work14871423Muse Spark 1.1
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Muse Spark 1.1 and o3
BenchmarkMuse Spark 1.1o3Leader
MMLU Pro88.7%85.6%Muse Spark 1.1
LegalBench (Vals AI)85.0%83.8%Muse Spark 1.1
CorpFin (Vals AI)71.3%59.7%Muse Spark 1.1
TaxEval (Vals AI)79.7%74.6%Muse Spark 1.1
MortgageTax (Vals AI)66.1%65.7%Muse Spark 1.1
MedQA (Vals AI)Not measured96.1%Only o3 measured
MedCode (Vals AI)Not measured47.3%Only o3 measured
MMLU Pro (Artificial Analysis run)Not measured85.3%Only o3 measured
SimpleQA Verified57.8%49.4%Muse Spark 1.1
GeoBenchNot measured74.0%Only o3 measured
LMArena Text: science14841429Muse Spark 1.1
LMArena Text: medicine and healthcare14791448Muse Spark 1.1
LMArena Text: legal and government14811428Muse Spark 1.1
LMArena Text: business and finance14701393Muse Spark 1.1
FACTS Benchmark SuiteNot measured44.4%Only o3 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Muse Spark 1.1 and o3
BenchmarkMuse Spark 1.1o3Leader
Design Arena: websites12701036Muse Spark 1.1
Design Arena: UI components12891017Muse Spark 1.1
Design Arena: game dev12691034Muse Spark 1.1
Design Arena: data viz12681200Muse Spark 1.1
Design Arena: 3D1260Not measuredOnly Muse Spark 1.1 measured
Design Arena: all code categories12761020Muse Spark 1.1
Design Arena: SVG1235Not measuredOnly Muse Spark 1.1 measured
Design Arena: ASCII art1271Not 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 index280
General benchmarks for Muse Spark 1.1 and o3
BenchmarkMuse Spark 1.1o3Leader
Public Benefits Bench (Vals AI)61.3%Not measuredOnly Muse Spark 1.1 measured
SAGE (Vals AI)45.6%41.8%Muse Spark 1.1
MedScribe (Vals AI)88.9%76.7%Muse Spark 1.1
Vals Multimodal Index66.7%Not measuredOnly Muse Spark 1.1 measured
IFBenchNot measured71.4%Only o3 measured
Long context reasoning (AA-LCR)77.7%74.7%Muse Spark 1.1
DTBench94.4%84.8%Muse Spark 1.1
LMCA49.9%39.7%Muse Spark 1.1
Fiction.LiveBenchNot measured88.9%Only o3 measured
Creative writing (Lech Mazur)Not measured83.9%Only o3 measured
CL-benchNot measured17.8%Only o3 measured
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text14781410Muse Spark 1.1
LMArena Text: instruction following14571368Muse Spark 1.1
LMArena Text: creative writing14351359Muse Spark 1.1
LMArena Vision12931214Muse Spark 1.1
LMArena Text: English14781417Muse Spark 1.1
LMArena Text: non-English14711401Muse Spark 1.1
LMArena Text: Chinese15151437Muse Spark 1.1
LMArena Text: German14691420Muse Spark 1.1
LMArena Text: Japanese14501403Muse Spark 1.1
LMArena Text: Korean14591370Muse Spark 1.1
LMArena Text: French14921430Muse Spark 1.1
LMArena Text: Spanish14641395Muse Spark 1.1
LMArena Text: Russian14821406Muse Spark 1.1
LMArena Text: Polish14991438Muse Spark 1.1
LMArena Text: multi-turn14841405Muse Spark 1.1
LMArena Text: longer queries14621372Muse Spark 1.1
LMArena Text: writing and language14481372Muse Spark 1.1
LMArena Text: entertainment and media14381373Muse Spark 1.1
LMArena Vision: English12921221Muse Spark 1.1
LMArena Vision: Chinese13481237Muse Spark 1.1
LMArena Vision: reading text13011218Muse Spark 1.1
LMArena Vision: humor12881222Muse Spark 1.1
LMArena Vision: captioningNot measured1210Only o3 measured
LMArena Vision: recognizing thingsNot measured1234Only o3 measured
LMArena Vision: creative writing12531201Muse Spark 1.1
LMArena Document1465Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 8 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 o3
BenchmarkMuse Spark 1.1o3Leader
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
o3$0.0060Fits in one request

Muse Spark 1.1 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
o3$0.124Fits in one request

Muse Spark 1.1 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
o3$0.480Exceeds the context window

Muse Spark 1.1 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 o3
SpecificationMeta Muse Spark 1.1OpenAI o3
MakerMetaOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 16, 2026April 16, 2025
Context window1.05M200K
Input $/Mtok$1.25$2.00
Output $/Mtok$4.25$8.00
Coding index70.3Not benchmarked
Independent measurements behind it30
Cost per solved task$0.43$0.571
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than o3 for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding. Pick o3 for work measured by Chess puzzles, where it leads.

Which is cheaper, Muse Spark 1.1 or o3?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; o3 costs $2.00 and $8.00. Per solved SWE-bench Verified task, Muse Spark 1.1 costs $0.43 and o3 $0.571.

Which has the bigger context window, Muse Spark 1.1 or o3?

Muse Spark 1.1, with 1.05M tokens against 200K.

How many benchmarks is the Muse Spark 1.1 vs o3 comparison based on?

60 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 o3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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