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Nova Pro 1.0 vs Muse Spark 1.3

Muse Spark 1.3 leads Nova Pro 1.0 on the Artificial Analysis Intelligence Index, 48.1 to 7.0, and Nova Pro 1.0 costs 1.3x less per output token ($3.20 vs $4.25 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Nova Pro 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$3.20
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
34
vs boards won of 34 shared

Nova Pro 1.0 or Muse Spark 1.3: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Nova Pro 1.0 has none, so the two cannot be ranked on coding.

Pick Nova Pro 1.0 for output tokens 1.3x cheaper ($3.20 vs $4.25 per million).

Shared results
34
Nova Pro 1.0 only
8
Muse Spark 1.3 only
58
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
Nova Pro 1.0 not benchmarked, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Web design, 70.0 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: websites: Nova Pro 1.0 796 against Muse Spark 1.3 1356, 70.0 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against Muse Spark 1.3 $4.25 per million output tokens, 1.3x apart.
Context window
Nova Pro 1.0 takes 300K tokens, Muse Spark 1.3 1.05M.

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
CategoryNova Pro 1.0BarsMuse Spark 1.3Ties
Coding02
Intelligence01
Reasoning05
Math02
Knowledge04
Web design01
General019
All shared boards034
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Nova Pro 1.0 and Muse Spark 1.3
BenchmarkNova Pro 1.0Muse Spark 1.3Leader
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDevNot measured1659Only Muse Spark 1.3 measured
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)Not measured82.9%Only Muse Spark 1.3 measured
Code migration (Vals AI)Not measured27.6%Only Muse Spark 1.3 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.3 measured
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
LiveCodeBench (Artificial Analysis run)23.3%Not measuredOnly Nova Pro 1.0 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)6.1%Not measuredOnly Nova Pro 1.0 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding12701510Muse Spark 1.3
LMArena Text: software and IT12711511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTMLNot measured1653Only Muse Spark 1.3 measured
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Pro 1.0 and Muse Spark 1.3
BenchmarkNova Pro 1.0Muse Spark 1.3Leader
AA Intelligence Index7.048.1Muse Spark 1.3
Epoch Capabilities IndexNot measured157.2Only Muse Spark 1.3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for Nova Pro 1.0 and Muse Spark 1.3
BenchmarkNova Pro 1.0Muse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web appsNot measured1297Only Muse Spark 1.3 measured
Design Arena: agents building full-stack appsNot measured1295Only Muse Spark 1.3 measured
Design Arena: agents building mobile appsNot measured1218Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1219Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1062Only Muse Spark 1.3 measured
LiveBench researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)Not measured40.9%Only Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
τ²-Bench Telecom14.0%Not measuredOnly Nova Pro 1.0 measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Nova Pro 1.0 and Muse Spark 1.3
BenchmarkNova Pro 1.0Muse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)49.9%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)3.2%48.7%Muse Spark 1.3
Chess puzzlesNot measured37.0%Only Muse Spark 1.3 measured
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard prompts12461503Muse Spark 1.3
LMArena Text: expert12111519Muse Spark 1.3
LMArena Text: hard prompts in English12591500Muse Spark 1.3
LMArena Vision: diagramsNot measured1330Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1296Only Muse Spark 1.3 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova Pro 1.0 and Muse Spark 1.3
BenchmarkNova Pro 1.0Muse Spark 1.3Leader
AA Math Index7.0Not measuredOnly Nova Pro 1.0 measured
AIME 2025 (Artificial Analysis run)7.0%Not measuredOnly Nova Pro 1.0 measured
OTIS Mock AIMENot measured99.2%Only Muse Spark 1.3 measured
FrontierMath, tiers 1 to 3Not measured74.4%Only Muse Spark 1.3 measured
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
LMArena Text: math12521497Muse Spark 1.3
LMArena Text: mathematical work12611491Muse Spark 1.3
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Nova Pro 1.0 and Muse Spark 1.3
BenchmarkNova Pro 1.0Muse Spark 1.3Leader
MMLU Pro (Artificial Analysis run)69.1%Not measuredOnly Nova Pro 1.0 measured
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551507Muse Spark 1.3
LMArena Text: medicine and healthcare12601493Muse Spark 1.3
LMArena Text: legal and government12811499Muse Spark 1.3
LMArena Text: business and finance12291490Muse Spark 1.3
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Nova Pro 1.0 and Muse Spark 1.3
BenchmarkNova Pro 1.0Muse Spark 1.3Leader
Design Arena: websites7961356Muse Spark 1.3
Design Arena: UI componentsNot measured1349Only Muse Spark 1.3 measured
Design Arena: game devNot measured1328Only Muse Spark 1.3 measured
Design Arena: data vizNot measured1343Only Muse Spark 1.3 measured
Design Arena: 3DNot measured1358Only Muse Spark 1.3 measured
Design Arena: all code categoriesNot measured1352Only Muse Spark 1.3 measured
Design Arena: SVGNot measured1301Only Muse Spark 1.3 measured
Design Arena: ASCII artNot measured1278Only Muse Spark 1.3 measured
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Nova Pro 1.0 and Muse Spark 1.3
BenchmarkNova Pro 1.0Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
IFBench38.1%Not measuredOnly Nova Pro 1.0 measured
Long context reasoning (AA-LCR)21.0%83.0%Muse Spark 1.3
DTBenchNot measured96.5%Only Muse Spark 1.3 measured
LMCANot measured53.9%Only Muse Spark 1.3 measured
LMArena Text12591490Muse Spark 1.3
LMArena Text: instruction following12351479Muse Spark 1.3
LMArena Text: creative writing12121462Muse Spark 1.3
LMArena Vision9801308Muse Spark 1.3
LMArena Text: English12761495Muse Spark 1.3
LMArena Text: non-English12331481Muse Spark 1.3
LMArena Text: Chinese12441532Muse Spark 1.3
LMArena Text: German12431513Muse Spark 1.3
LMArena Text: Japanese12001470Muse Spark 1.3
LMArena Text: Korean12031490Muse Spark 1.3
LMArena Text: French12711511Muse Spark 1.3
LMArena Text: Spanish11821496Muse Spark 1.3
LMArena Text: Russian12401491Muse Spark 1.3
LMArena Text: PolishNot measured1490Only Muse Spark 1.3 measured
LMArena Text: multi-turn12461487Muse Spark 1.3
LMArena Text: longer queries12551488Muse Spark 1.3
LMArena Text: writing and language12471470Muse Spark 1.3
LMArena Text: entertainment and media12101457Muse Spark 1.3
LMArena Vision: English9871298Muse Spark 1.3
LMArena Vision: ChineseNot measured1384Only Muse Spark 1.3 measured
LMArena Vision: reading textNot measured1319Only Muse Spark 1.3 measured
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writingNot measured1296Only Muse Spark 1.3 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Pro 1.0 and Muse Spark 1.3
BenchmarkNova Pro 1.0Muse Spark 1.3Leader
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

Nova Pro 1.0$0.0024Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Nova Pro 1.0 costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
Muse Spark 1.3$0.075Fits in one request

Nova Pro 1.0 costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
Muse Spark 1.3$0.292Fits in one request

Nova Pro 1.0 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 Nova Pro 1.0 and Muse Spark 1.3
SpecificationAmazon Nova Pro 1.0Meta Muse Spark 1.3
MakerAmazonMeta
WeightsNo public weights listedNo public weights listed
ReleasedDecember 5, 2024September 2, 2026
Context window300K1.05M
Input $/Mtok$0.80$1.25
Output $/Mtok$3.20$4.25
Coding indexNot benchmarked57.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Pro 1.0 better than Muse Spark 1.3 for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Nova Pro 1.0 has none, so the two cannot be ranked on coding. Pick Nova Pro 1.0 for output tokens 1.3x cheaper ($3.20 vs $4.25 per million).

Which is cheaper, Nova Pro 1.0 or Muse Spark 1.3?

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Pro 1.0 or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 300K.

How many benchmarks is the Nova Pro 1.0 vs Muse Spark 1.3 comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. Nova Pro 1.0's coding index rests on 0 independent benchmarks and Muse Spark 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.

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