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Nova Lite 1.0 vs Muse Spark 1.3

Muse Spark 1.3 leads Nova Lite 1.0 on the Artificial Analysis Intelligence Index, 48.1 to 6.7, and Nova Lite 1.0 costs 17.7x less per output token ($0.24 vs $4.25 per million). Updated October 21, 2026; 33 benchmarks have a result for both.

Nova Lite 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$0.24
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
33
vs boards won of 33 shared

Nova Lite 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 Lite 1.0 has none, so the two cannot be ranked on coding.

Pick Nova Lite 1.0 for output tokens 17.7x cheaper ($0.24 vs $4.25 per million).

Shared results
33
Nova Lite 1.0 only
8
Muse Spark 1.3 only
59
Like-for-like categories
6 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 Lite 1.0 not benchmarked, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Reasoning, 48.2 points apart on average over 5 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Nova Lite 1.0 19.0% against Muse Spark 1.3 83.0%, 64.0 points apart on a 0 to 100 scale.
Output price
Nova Lite 1.0 $0.24 against Muse Spark 1.3 $4.25 per million output tokens, 17.7x apart.
Context window
Nova Lite 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 Lite 1.0BarsMuse Spark 1.3Ties
Coding02
Intelligence01
Reasoning05
Math02
Knowledge04
General019
All shared boards033
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Nova Lite 1.0 and Muse Spark 1.3
BenchmarkNova Lite 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)16.7%Not measuredOnly Nova Lite 1.0 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)0.8%Not measuredOnly Nova Lite 1.0 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding12391510Muse Spark 1.3
LMArena Text: software and IT12411511Muse 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 Lite 1.0 and Muse Spark 1.3
BenchmarkNova Lite 1.0Muse Spark 1.3Leader
AA Intelligence Index6.748.1Muse 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 Lite 1.0 and Muse Spark 1.3
BenchmarkNova Lite 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 measured1217Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1243Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1043Only 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 Telecom17.5%Not measuredOnly Nova Lite 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 Lite 1.0 and Muse Spark 1.3
BenchmarkNova Lite 1.0Muse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)43.3%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)4.3%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 prompts12201503Muse Spark 1.3
LMArena Text: expert12011519Muse Spark 1.3
LMArena Text: hard prompts in English12261500Muse 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 Lite 1.0 and Muse Spark 1.3
BenchmarkNova Lite 1.0Muse Spark 1.3Leader
AA Math Index7.0Not measuredOnly Nova Lite 1.0 measured
AIME 2025 (Artificial Analysis run)7.0%Not measuredOnly Nova Lite 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: math12271497Muse Spark 1.3
LMArena Text: mathematical work12351491Muse 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 Lite 1.0 and Muse Spark 1.3
BenchmarkNova Lite 1.0Muse Spark 1.3Leader
MMLU Pro (Artificial Analysis run)59.0%Not measuredOnly Nova Lite 1.0 measured
MMLU77.0%Not measuredOnly Nova Lite 1.0 measured
LMArena Text: science12321507Muse Spark 1.3
LMArena Text: medicine and healthcare12131493Muse Spark 1.3
LMArena Text: legal and government12381499Muse Spark 1.3
LMArena Text: business and finance12191490Muse Spark 1.3
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Nova Lite 1.0 and Muse Spark 1.3
BenchmarkNova Lite 1.0Muse Spark 1.3Leader
Design Arena: websitesNot measured1356Only Muse Spark 1.3 measured
Design Arena: UI componentsNot measured1351Only Muse Spark 1.3 measured
Design Arena: game devNot measured1329Only Muse Spark 1.3 measured
Design Arena: data vizNot measured1343Only Muse Spark 1.3 measured
Design Arena: 3DNot measured1359Only Muse Spark 1.3 measured
Design Arena: all code categoriesNot measured1353Only Muse Spark 1.3 measured
Design Arena: SVGNot measured1301Only Muse Spark 1.3 measured
Design Arena: ASCII artNot measured1280Only 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 Lite 1.0 and Muse Spark 1.3
BenchmarkNova Lite 1.0Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
IFBench34.1%Not measuredOnly Nova Lite 1.0 measured
Long context reasoning (AA-LCR)19.0%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 Text12291490Muse Spark 1.3
LMArena Text: instruction following12051479Muse Spark 1.3
LMArena Text: creative writing11971462Muse Spark 1.3
LMArena Vision9901308Muse Spark 1.3
LMArena Text: English12431495Muse Spark 1.3
LMArena Text: non-English12081481Muse Spark 1.3
LMArena Text: Chinese12251532Muse Spark 1.3
LMArena Text: German12291513Muse Spark 1.3
LMArena Text: Japanese11531470Muse Spark 1.3
LMArena Text: Korean11531490Muse Spark 1.3
LMArena Text: French12381511Muse Spark 1.3
LMArena Text: Spanish12261496Muse Spark 1.3
LMArena Text: Russian12161491Muse Spark 1.3
LMArena Text: PolishNot measured1490Only Muse Spark 1.3 measured
LMArena Text: multi-turn11991487Muse Spark 1.3
LMArena Text: longer queries12341488Muse Spark 1.3
LMArena Text: writing and language12111470Muse Spark 1.3
LMArena Text: entertainment and media11761457Muse Spark 1.3
LMArena Vision: English9991298Muse 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 Lite 1.0 and Muse Spark 1.3
BenchmarkNova Lite 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 Lite 1.0$0.0002Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Nova Lite 1.0 costs less

Repository review

50K input + 3K output tokens

Nova Lite 1.0$0.0037Fits in one request
Muse Spark 1.3$0.075Fits in one request

Nova Lite 1.0 costs less

Agent loop

200K input + 10K output tokens

Nova Lite 1.0$0.014Fits in one request
Muse Spark 1.3$0.292Fits in one request

Nova Lite 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 Lite 1.0 and Muse Spark 1.3
SpecificationAmazon Nova Lite 1.0Meta Muse Spark 1.3
MakerAmazonMeta
WeightsNo public weights listedNo public weights listed
ReleasedDecember 5, 2024September 2, 2026
Context window300K1.05M
Input $/Mtok$0.06$1.25
Output $/Mtok$0.24$4.25
Coding indexNot benchmarked57.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Lite 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 Lite 1.0 has none, so the two cannot be ranked on coding. Pick Nova Lite 1.0 for output tokens 17.7x cheaper ($0.24 vs $4.25 per million).

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

Nova Lite 1.0 costs $0.06 per million input tokens and $0.24 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 Lite 1.0 or Muse Spark 1.3?

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

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

33 benchmarks have a result for both models as of October 21, 2026. Nova Lite 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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