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Muse Spark 1.3 vs Step 3.7 Flash

Muse Spark 1.3 leads Step 3.7 Flash on the Artificial Analysis Intelligence Index, 48.1 to 19.5, and Step 3.7 Flash costs 3.7x less per output token ($1.15 vs $4.25 per million). Updated October 21, 2026; 15 benchmarks have a result for both.

Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
15
Step 3.7 FlashStepFun
Coding
No data
Overall
No data
Output $/M
$1.15
0
vs boards won of 15 shared

Muse Spark 1.3 or Step 3.7 Flash: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Step 3.7 Flash has none, so the two cannot be ranked on coding.

Pick Step 3.7 Flash for output tokens 3.7x cheaper ($1.15 vs $4.25 per million).

Shared results
15
Muse Spark 1.3 only
77
Step 3.7 Flash only
3
Like-for-like categories
5 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
Muse Spark 1.3 57.4 from 4 benchmarks, Step 3.7 Flash not benchmarked.
Widest category
Intelligence, 28.6 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: Muse Spark 1.3 75.8 against Step 3.7 Flash 39.6, 36.2 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against Step 3.7 Flash $1.15 per million output tokens, 3.7x apart.
Context window
Muse Spark 1.3 takes 1.05M tokens, Step 3.7 Flash 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.

Boards won, where both have a result
CategoryMuse Spark 1.3BarsStep 3.7 FlashTies
Coding30
Intelligence10
Reasoning20
Web design80
General10
All shared boards150
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Muse Spark 1.3 and Step 3.7 Flash
BenchmarkMuse Spark 1.3Step 3.7 FlashLeader
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev1659Not measuredOnly Muse Spark 1.3 measured
AA Coding Index75.839.6Muse Spark 1.3
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%43.9%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)Not measured35.6%Only Step 3.7 Flash measured
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3694.1Muse Spark 1.3
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
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark 1.3 and Step 3.7 Flash
BenchmarkMuse Spark 1.3Step 3.7 FlashLeader
AA Intelligence Index48.119.5Muse Spark 1.3
Epoch Capabilities Index157.2Not measuredOnly Muse Spark 1.3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for Muse Spark 1.3 and Step 3.7 Flash
BenchmarkMuse Spark 1.3Step 3.7 FlashLeader
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 slides1243Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1043Not 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 measured98.5%Only Step 3.7 Flash measured
APEX-Agents58.6%Not measuredOnly 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 index20
Reasoning benchmarks for Muse Spark 1.3 and Step 3.7 Flash
BenchmarkMuse Spark 1.3Step 3.7 FlashLeader
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%80.9%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%21.4%Muse Spark 1.3
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 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Muse Spark 1.3 and Step 3.7 Flash
BenchmarkMuse Spark 1.3Step 3.7 FlashLeader
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 Step 3.7 Flash
BenchmarkMuse Spark 1.3Step 3.7 FlashLeader
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 14 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Muse Spark 1.3 and Step 3.7 Flash
BenchmarkMuse Spark 1.3Step 3.7 FlashLeader
Design Arena: websites13561196Muse Spark 1.3
Design Arena: UI components13511179Muse Spark 1.3
Design Arena: game dev13291158Muse Spark 1.3
Design Arena: data viz13431172Muse Spark 1.3
Design Arena: 3D13591129Muse Spark 1.3
Design Arena: all code categories13531182Muse Spark 1.3
Design Arena: SVG13011085Muse Spark 1.3
Design Arena: ASCII art12801152Muse Spark 1.3
LiveBench design74.8%Not measuredOnly Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Muse Spark 1.3 and Step 3.7 Flash
BenchmarkMuse Spark 1.3Step 3.7 FlashLeader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
IFBenchNot measured67.3%Only Step 3.7 Flash measured
Long context reasoning (AA-LCR)83.0%73.7%Muse Spark 1.3
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 18 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 Step 3.7 Flash
BenchmarkMuse Spark 1.3Step 3.7 FlashLeader
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
Step 3.7 Flash$0.0008Fits in one request

Step 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Step 3.7 Flash$0.013Fits in one request

Step 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$0.292Fits in one request
Step 3.7 Flash$0.051Fits in one request

Step 3.7 Flash 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 Step 3.7 Flash
SpecificationMeta Muse Spark 1.3StepFun Step 3.7 Flash
MakerMetaStepFun
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026May 28, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.20
Output $/Mtok$4.25$1.15
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 Step 3.7 Flash for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Step 3.7 Flash has none, so the two cannot be ranked on coding. Pick Step 3.7 Flash for output tokens 3.7x cheaper ($1.15 vs $4.25 per million).

Which is cheaper, Muse Spark 1.3 or Step 3.7 Flash?

Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Spark 1.3 or Step 3.7 Flash?

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

How many benchmarks is the Muse Spark 1.3 vs Step 3.7 Flash comparison based on?

15 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 Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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