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Muse Spark Open vs o3 Pro

Updated October 21, 2026. 2 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Muse Spark OpenMeta
Coding
62.1
Overall
No data
Output $/M
$4.25
2
o3 ProOpenAI
Coding
84.9
Overall
21.9
Output $/M
$80.00
0
vs boards won of 2 shared

Decision reading

Muse Spark Open scores 62.1 and o3 Pro 84.9 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking.

Pick Muse Spark Open when output tokens cost 18.8x less, or when the context window is larger, 1.05M against 200K tokens.

Shared results
2
Muse Spark Open only
24
o3 Pro only
9
Like-for-like categories
2 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 Open 62.1 from 2 benchmarks, o3 Pro 84.9 from 1 benchmark.
Widest category
Intelligence, 9.7 points apart on average over 1 shared benchmark.
Widest single gap
Epoch Capabilities Index: Muse Spark Open 155.1 against o3 Pro 147.3, 9.7 points apart on a 0 to 100 scale.
Output price
Muse Spark Open $4.25 against o3 Pro $80.00 per million output tokens, 18.8x apart.
Context window
Muse Spark Open takes 1.05M tokens, o3 Pro 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 OpenBarso3 ProTies
Intelligence10
Reasoning10
All shared boards20
CodingDirectional onlyFour of these boards feed the Vibe Coding Index11 boards, none shared
Coding benchmarks for Muse Spark Open and o3 Pro
BenchmarkMuse Spark Openo3 ProLeader
Aider polyglotNot measured84.9%Only o3 Pro measured
LiveBench coding73.6%Not measuredOnly Muse Spark Open measured
LMArena WebDev1528Not measuredOnly Muse Spark Open measured
Terminal-Bench 4 (Vals AI)6.6%Not measuredOnly Muse Spark Open measured
Vibe Code Bench (Vals AI)76.2%Not measuredOnly Muse Spark Open measured
Code migration (Vals AI)21.2%Not measuredOnly Muse Spark Open measured
SciCode58.4%Not measuredOnly Muse Spark Open measured
WeirdMLNot measured58.2%Only o3 Pro measured
ALE-Bench1590.1Not measuredOnly Muse Spark Open measured
LMArena WebDev: React1529Not measuredOnly Muse Spark Open measured
LMArena WebDev: HTML1495Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark Open and o3 Pro
BenchmarkMuse Spark Openo3 ProLeader
AA Intelligence IndexNot measured21.9Only o3 Pro measured
Epoch Capabilities Index155.1147.3Muse Spark Open
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for Muse Spark Open and o3 Pro
BenchmarkMuse Spark Openo3 ProLeader
LiveBench research80.3%Not measuredOnly Muse Spark Open measured
LiveBench browser36.0%Not measuredOnly Muse Spark Open measured
LiveBench long agentic18.9%Not measuredOnly Muse Spark Open measured
Finance Agent (Vals AI)61.3%Not measuredOnly Muse Spark Open measured
Tax Agent Bench (Vals AI)26.3%Not measuredOnly Muse Spark Open measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)53.7%Not measuredOnly Muse Spark Open measured
APEX-Agents33.4%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Muse Spark Open and o3 Pro
BenchmarkMuse Spark Openo3 ProLeader
LiveBench reasoning73.7%Not measuredOnly Muse Spark Open measured
GPQA Diamond (Artificial Analysis run)89.0%84.5%Muse Spark Open
Humanity's Last Exam (Artificial Analysis run)43.9%Not measuredOnly Muse Spark Open measured
ARC-AGINot measured59.3%Only o3 Pro measured
ARC-AGI-2Not measured4.9%Only o3 Pro measured
Neither model has a result on the other 16 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Muse Spark Open and o3 Pro
BenchmarkMuse Spark Openo3 ProLeader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Muse Spark Open and o3 Pro
BenchmarkMuse Spark Openo3 ProLeader
Neither model has a result on 17 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Web design benchmarks for Muse Spark Open and o3 Pro
BenchmarkMuse Spark Openo3 ProLeader
Design Arena: websites1311Not measuredOnly Muse Spark Open measured
Design Arena: game dev1290Not measuredOnly Muse Spark Open measured
LiveBench design60.3%Not measuredOnly Muse Spark Open measured
Neither model has a result on the other 6 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
General benchmarks for Muse Spark Open and o3 Pro
BenchmarkMuse Spark Openo3 ProLeader
LiveBench data analysis60.2%Not measuredOnly Muse Spark Open measured
Long context reasoning (AA-LCR)78.3%Not measuredOnly Muse Spark Open measured
DTBenchNot measured86.9%Only o3 Pro measured
LMCANot measured38.5%Only o3 Pro measured
Fiction.LiveBenchNot measured97.2%Only o3 Pro measured
Creative writing (Lech Mazur)Not measured84.4%Only o3 Pro measured
Neither model has a result on the other 40 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark Open and o3 Pro
BenchmarkMuse Spark Openo3 ProLeader
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 Open$0.0034Fits in one request
o3 Pro$0.060Fits in one request

Muse Spark Open costs less

Repository review

50K input + 3K output tokens

Muse Spark Open$0.075Fits in one request
o3 Pro$1.24Fits in one request

Muse Spark Open costs less

Agent loop

200K input + 10K output tokens

Muse Spark Open$0.292Fits in one request
o3 Pro$4.80Exceeds the context window

Muse Spark Open 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 Open and o3 Pro
SpecificationMeta Muse Spark OpenOpenAI o3 Pro
MakerMetaOpenAI
WeightsOpen weightsNo public weights listed
ReleasedOctober 15, 2026June 10, 2025
Context window1.05M200K
Input $/Mtok$1.25$20.00
Output $/Mtok$4.25$80.00
Coding index62.184.9
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark Open better than o3 Pro for coding?

Muse Spark Open scores 62.1 and o3 Pro 84.9 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking. Pick Muse Spark Open when output tokens cost 18.8x less, or when the context window is larger, 1.05M against 200K tokens.

Which is cheaper, Muse Spark Open or o3 Pro?

Muse Spark Open costs $1.25 per million input tokens and $4.25 per million output tokens; o3 Pro costs $20.00 and $80.00. Cost per solved task is known for neither of them.

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

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

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

2 benchmarks have a result for both models as of October 21, 2026. Muse Spark Open's coding index rests on 2 independent benchmarks and o3 Pro's on 1. Where only one model has a result, the page says so instead of naming a winner.

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