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Muse Spark 1.3 vs Morph V3 Large

Updated October 21, 2026. 0 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
57.4
Overall
48.1
Output $/M
$4.25
Morph V3 LargeMorph
Coding
No data
Overall
No data
Output $/M
$1.90
vs $4.25 vs $1.90 per 1M output tokens. Morph V3 Large is 2.2x cheaper.

Decision reading

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Morph V3 Large has none, so the two cannot be ranked on coding.

Morph V3 Large has the edge where output tokens cost 2.2x less.

Shared results
0
Muse Spark 1.3 only
92
Morph V3 Large only
0
Like-for-like categories
0 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 57.4 from 4 benchmarks, Morph V3 Large not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Muse Spark 1.3 $4.25 against Morph V3 Large $1.90 per million output tokens, 2.2x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, Morph V3 Large 262K.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index18 boards, none shared
Coding benchmarks for Muse Spark 1.3 and Morph V3 Large
BenchmarkMuse Spark 1.3Morph V3 LargeLeader
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev1659Not measuredOnly Muse Spark 1.3 measured
AA Coding Index75.8Not measuredOnly Muse Spark 1.3 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
SciCode59.7%Not measuredOnly Muse Spark 1.3 measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3Not measuredOnly Muse Spark 1.3 measured
LMArena Text: coding1510Not measuredOnly Muse Spark 1.3 measured
LMArena Text: software and IT1511Not measuredOnly Muse Spark 1.3 measured
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 20 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Spark 1.3 and Morph V3 Large
BenchmarkMuse Spark 1.3Morph V3 LargeLeader
AA Intelligence Index48.1Not measuredOnly Muse Spark 1.3 measured
Epoch Capabilities Index157.2Not measuredOnly Muse Spark 1.3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for Muse Spark 1.3 and Morph V3 Large
BenchmarkMuse Spark 1.3Morph V3 LargeLeader
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 apps1218Not 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: spreadsheets1044Not 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
APEX-Agents58.6%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 23 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Reasoning benchmarks for Muse Spark 1.3 and Morph V3 Large
BenchmarkMuse Spark 1.3Morph V3 LargeLeader
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%Not measuredOnly Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)48.7%Not measuredOnly Muse Spark 1.3 measured
Chess puzzles37.0%Not measuredOnly Muse Spark 1.3 measured
Mystery game puzzles25.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: hard prompts1503Not measuredOnly Muse Spark 1.3 measured
LMArena Text: expert1519Not measuredOnly Muse Spark 1.3 measured
LMArena Text: hard prompts in English1500Not measuredOnly Muse Spark 1.3 measured
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 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Muse Spark 1.3 and Morph V3 Large
BenchmarkMuse Spark 1.3Morph V3 LargeLeader
OTIS Mock AIME99.2%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tiers 1 to 374.4%Not measuredOnly Muse Spark 1.3 measured
FrontierMath, tier 446.3%Not measuredOnly Muse Spark 1.3 measured
ProofBench58.0%Not measuredOnly Muse Spark 1.3 measured
LMArena Text: math1497Not measuredOnly Muse Spark 1.3 measured
LMArena Text: mathematical work1491Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for Muse Spark 1.3 and Morph V3 Large
BenchmarkMuse Spark 1.3Morph V3 LargeLeader
LMArena Text: science1507Not measuredOnly Muse Spark 1.3 measured
LMArena Text: medicine and healthcare1493Not measuredOnly Muse Spark 1.3 measured
LMArena Text: legal and government1499Not measuredOnly Muse Spark 1.3 measured
LMArena Text: business and finance1490Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 13 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 Morph V3 Large
BenchmarkMuse Spark 1.3Morph V3 LargeLeader
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: SVG1301Not 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
GeneralDirectional onlyPublic boards, shown as published, kept out of the index27 boards, none shared
General benchmarks for Muse Spark 1.3 and Morph V3 Large
BenchmarkMuse Spark 1.3Morph V3 LargeLeader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
Long context reasoning (AA-LCR)83.0%Not measuredOnly Muse Spark 1.3 measured
DTBench96.5%Not measuredOnly Muse Spark 1.3 measured
LMCA53.9%Not measuredOnly Muse Spark 1.3 measured
LMArena Text1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: instruction following1479Not measuredOnly Muse Spark 1.3 measured
LMArena Text: creative writing1462Not measuredOnly Muse Spark 1.3 measured
LMArena Vision1308Not measuredOnly Muse Spark 1.3 measured
LMArena Text: English1495Not measuredOnly Muse Spark 1.3 measured
LMArena Text: non-English1481Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Chinese1532Not measuredOnly Muse Spark 1.3 measured
LMArena Text: German1513Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Japanese1470Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Korean1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: French1511Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Spanish1496Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Russian1491Not measuredOnly Muse Spark 1.3 measured
LMArena Text: Polish1490Not measuredOnly Muse Spark 1.3 measured
LMArena Text: multi-turn1487Not measuredOnly Muse Spark 1.3 measured
LMArena Text: longer queries1488Not measuredOnly Muse Spark 1.3 measured
LMArena Text: writing and language1470Not measuredOnly Muse Spark 1.3 measured
LMArena Text: entertainment and media1457Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: English1298Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: Chinese1384Not measuredOnly Muse Spark 1.3 measured
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 19 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 Morph V3 Large
BenchmarkMuse Spark 1.3Morph V3 LargeLeader
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
Morph V3 Large$0.0019Fits in one request

Morph V3 Large costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Morph V3 Large$0.051Fits in one request

Morph V3 Large costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
Morph V3 Large$0.199Fits in one request

Morph V3 Large 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 Morph V3 Large
SpecificationMeta Muse Spark 1.3Morph V3 Large
MakerMetaMorph
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026July 7, 2025
Context window1.05M262K
Input $/Mtok$1.25$0.90
Output $/Mtok$4.25$1.90
Coding index57.4Not benchmarked
Independent measurements behind it40
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than Morph V3 Large for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Morph V3 Large has none, so the two cannot be ranked on coding. Morph V3 Large has the edge where output tokens cost 2.2x less.

Which is cheaper, Muse Spark 1.3 or Morph V3 Large?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Morph V3 Large costs $0.90 and $1.90. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark 1.3 or Morph V3 Large?

Muse Spark 1.3, with 1.05M tokens against 262K.

How many benchmarks is the Muse Spark 1.3 vs Morph V3 Large comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks and Morph V3 Large's on 0. Where only one model has a result, the page says so instead of naming a winner.

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