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Muse Spark 1.3 vs o1

Updated October 21, 2026. 41 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
41
o1OpenAI
Coding
61.7
Overall
15.2
Output $/M
$60.00
0
vs boards won of 41 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 61.7 for o1.

o1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
41
Muse Spark 1.3 only
51
o1 only
27
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 79.7 from 2 benchmarks, o1 61.7 from 1 benchmark.
Widest category
Math, 30.1 points apart on average over 4 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Muse Spark 1.3 74.4% against o1 14.7%, 59.6 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against o1 $60.00 per million output tokens, 14.1x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, o1 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 1.3Barso1Ties
Coding30
Intelligence20
Reasoning60
Math40
Knowledge40
General220
All shared boards410
CodingLike-for-likeFour of these boards feed the Vibe Coding Index30
Coding benchmarks for Muse Spark 1.3 and o1
BenchmarkMuse Spark 1.3o1Leader
Aider polyglotNot measured61.7%Only o1 measured
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev1659Not measuredOnly Muse Spark 1.3 measured
AA Coding Index75.839.7Muse Spark 1.3
LiveCodeBench (Vals AI)Not measured50.3%Only o1 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 measured67.9%Only o1 measured
SciCode59.7%Not measuredOnly Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured12.9%Only o1 measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
WeirdMLNot measured46.1%Only o1 measured
ALE-Bench1688.3Not measuredOnly Muse Spark 1.3 measured
LMArena Text: coding15101367Muse Spark 1.3
LMArena Text: software and IT15111366Muse 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
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 1.3 and o1
BenchmarkMuse Spark 1.3o1Leader
AA Intelligence Index48.115.2Muse Spark 1.3
Epoch Capabilities Index157.2141.7Muse 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 o1
BenchmarkMuse Spark 1.3o1Leader
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 slides1244Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1048Not 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 measured62.6%Only o1 measured
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
METR time horizonsNot measured51.1%Only o1 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Muse Spark 1.3 and o1
BenchmarkMuse Spark 1.3o1Leader
GPQA DiamondNot measured73.2%Only o1 measured
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
MMMU Pro (Vals AI)Not measured77.4%Only o1 measured
GPQA Diamond (Artificial Analysis run)94.1%74.7%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%7.0%Muse Spark 1.3
GPQA Diamond (Epoch AI run)Not measured76.8%Only o1 measured
ARC-AGINot measured30.7%Only o1 measured
SimpleBenchNot measured40.1%Only o1 measured
Chess puzzles37.0%10.0%Muse Spark 1.3
Mystery game puzzles25.0%Not measuredOnly Muse Spark 1.3 measured
VPCTNot measured37.0%Only o1 measured
LMArena Text: hard prompts15031371Muse Spark 1.3
LMArena Text: expert15191361Muse Spark 1.3
LMArena Text: hard prompts in English15001372Muse Spark 1.3
LMArena Vision: diagrams1330Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: homework1296Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Muse Spark 1.3 and o1
BenchmarkMuse Spark 1.3o1Leader
AIMENot measured71.5%Only o1 measured
MATH 500 (Vals AI)Not measured90.4%Only o1 measured
MGSM (Vals AI)Not measured89.3%Only o1 measured
OTIS Mock AIME99.2%73.3%Muse Spark 1.3
FrontierMath, tiers 1 to 374.4%14.7%Muse Spark 1.3
FrontierMath, tier 446.3%Not measuredOnly Muse Spark 1.3 measured
ProofBench58.0%Not measuredOnly Muse Spark 1.3 measured
MATH level 5Not measured94.7%Only o1 measured
LMArena Text: math14971388Muse Spark 1.3
LMArena Text: mathematical work14911390Muse Spark 1.3
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.3 and o1
BenchmarkMuse Spark 1.3o1Leader
MMLU ProNot measured83.5%Only o1 measured
LegalBench (Vals AI)Not measured80.4%Only o1 measured
TaxEval (Vals AI)Not measured74.3%Only o1 measured
MedQA (Vals AI)Not measured96.5%Only o1 measured
MMLU Pro (Artificial Analysis run)Not measured84.1%Only o1 measured
SimpleQA VerifiedNot measured41.1%Only o1 measured
GeoBenchNot measured80.0%Only o1 measured
LMArena Text: science15071369Muse Spark 1.3
LMArena Text: medicine and healthcare14931355Muse Spark 1.3
LMArena Text: legal and government14991368Muse Spark 1.3
LMArena Text: business and finance14901328Muse Spark 1.3
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Muse Spark 1.3 and o1
BenchmarkMuse Spark 1.3o1Leader
Design Arena: websites1356Not measuredOnly Muse Spark 1.3 measured
Design Arena: UI components1352Not measuredOnly Muse Spark 1.3 measured
Design Arena: game dev1329Not measuredOnly Muse Spark 1.3 measured
Design Arena: data viz1343Not measuredOnly Muse Spark 1.3 measured
Design Arena: 3D1359Not measuredOnly Muse Spark 1.3 measured
Design Arena: all code categories1353Not measuredOnly Muse Spark 1.3 measured
Design Arena: SVG1300Not measuredOnly Muse Spark 1.3 measured
Design Arena: ASCII art1280Not 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 index220
General benchmarks for Muse Spark 1.3 and o1
BenchmarkMuse Spark 1.3o1Leader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
IFBenchNot measured70.3%Only o1 measured
Long context reasoning (AA-LCR)83.0%65.0%Muse Spark 1.3
DTBench96.5%74.7%Muse Spark 1.3
LMCA53.9%22.3%Muse Spark 1.3
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)Not measured70.2%Only o1 measured
LMArena Text14901366Muse Spark 1.3
LMArena Text: instruction following14791367Muse Spark 1.3
LMArena Text: creative writing14621347Muse Spark 1.3
LMArena Vision13081168Muse Spark 1.3
LMArena Text: English14951372Muse Spark 1.3
LMArena Text: non-English14811358Muse Spark 1.3
LMArena Text: Chinese15321394Muse Spark 1.3
LMArena Text: German15131337Muse Spark 1.3
LMArena Text: Japanese14701346Muse Spark 1.3
LMArena Text: Korean14901396Muse Spark 1.3
LMArena Text: French15111344Muse Spark 1.3
LMArena Text: Spanish14961345Muse Spark 1.3
LMArena Text: Russian14911356Muse Spark 1.3
LMArena Text: Polish1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: multi-turn14871355Muse Spark 1.3
LMArena Text: longer queries14881378Muse Spark 1.3
LMArena Text: writing and language14701360Muse Spark 1.3
LMArena Text: entertainment and media14571358Muse Spark 1.3
LMArena Vision: English12981162Muse Spark 1.3
LMArena Vision: Chinese13841235Muse Spark 1.3
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 16 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 o1
BenchmarkMuse Spark 1.3o1Leader
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
o1$0.045Fits in one request

Muse Spark 1.3 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
o1$0.930Fits in one request

Muse Spark 1.3 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
o1$3.60Exceeds the context window

Muse Spark 1.3 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 o1
SpecificationMeta Muse Spark 1.3OpenAI o1
MakerMetaOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026December 17, 2024
Context window1.05M200K
Input $/Mtok$1.25$15.00
Output $/Mtok$4.25$60.00
Coding index79.761.7
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than o1 for coding?

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 61.7 for o1. o1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Muse Spark 1.3 or o1?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark 1.3 or o1?

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

How many benchmarks is the Muse Spark 1.3 vs o1 comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.3's coding index rests on 2 independent benchmarks and o1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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