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Muse Spark 1.1 vs Step 3.7 Flash

Muse Spark 1.1 leads Step 3.7 Flash on the Artificial Analysis Intelligence Index, 33.7 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; 14 benchmarks have a result for both.

Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
14
Step 3.7 FlashStepFun
Coding
No data
Overall
No data
Output $/M
$1.15
0
vs boards won of 14 shared

Muse Spark 1.1 or Step 3.7 Flash: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 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
14
Muse Spark 1.1 only
82
Step 3.7 Flash only
4
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 1.1 70.3 from 3 benchmarks, Step 3.7 Flash not benchmarked.
Widest category
Coding, 23.3 points apart on average over 2 shared benchmarks.
Widest single gap
AA Coding Index: Muse Spark 1.1 71.3 against Step 3.7 Flash 39.6, 31.7 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Step 3.7 Flash $1.15 per million output tokens, 3.7x apart.
Context window
Muse Spark 1.1 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 1.1BarsStep 3.7 FlashTies
Coding20
Intelligence10
Reasoning20
Web design80
General10
All shared boards140
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark 1.1 and Step 3.7 Flash
BenchmarkMuse Spark 1.1Step 3.7 FlashLeader
LMArena WebDev1542Not measuredOnly Muse Spark 1.1 measured
AA Coding Index71.339.6Muse Spark 1.1
LiveCodeBench (Vals AI)85.9%Not measuredOnly Muse Spark 1.1 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Muse Spark 1.1 measured
Vibe Code Bench (Vals AI)72.2%Not measuredOnly Muse Spark 1.1 measured
Code migration (Vals AI)31.1%Not measuredOnly Muse Spark 1.1 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)69.3%Not measuredOnly Muse Spark 1.1 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Muse Spark 1.1 measured
SciCode58.8%43.9%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)Not measured35.6%Only Step 3.7 Flash measured
ALE-BenchNot measured694.1Only Step 3.7 Flash measured
LMArena Text: coding1498Not measuredOnly Muse Spark 1.1 measured
LMArena Text: software and IT1498Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: React1532Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: HTML1540Not measuredOnly Muse Spark 1.1 measured
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark 1.1 and Step 3.7 Flash
BenchmarkMuse Spark 1.1Step 3.7 FlashLeader
AA Intelligence Index33.719.5Muse Spark 1.1
Epoch Capabilities Index154.1Not measuredOnly Muse Spark 1.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for Muse Spark 1.1 and Step 3.7 Flash
BenchmarkMuse Spark 1.1Step 3.7 FlashLeader
AA Agentic Index25.8Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building web apps1207Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building full-stack apps1199Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building mobile apps1177Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Android apps1184Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Godot games1103Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building games1183Not measuredOnly Muse Spark 1.1 measured
Design Arena: HTML slides1195Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1157Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets975Not measuredOnly Muse Spark 1.1 measured
Finance Agent (Vals AI)57.2%Not measuredOnly Muse Spark 1.1 measured
Legal Research Bench (Vals AI)38.0%Not measuredOnly Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)56.4%Not measuredOnly Muse Spark 1.1 measured
Time Horizon Index (Vals AI)1.7%Not measuredOnly Muse Spark 1.1 measured
τ²-Bench TelecomNot measured98.5%Only Step 3.7 Flash measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
Vending-Bench 2$6,520Not measuredOnly Muse Spark 1.1 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 1.1 and Step 3.7 Flash
BenchmarkMuse Spark 1.1Step 3.7 FlashLeader
GPQA Diamond91.2%Not measuredOnly Muse Spark 1.1 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)89.8%80.9%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)46.2%21.4%Muse Spark 1.1
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts1485Not measuredOnly Muse Spark 1.1 measured
LMArena Text: expert1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts in English1480Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: diagrams1305Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: homework1287Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Muse Spark 1.1 and Step 3.7 Flash
BenchmarkMuse Spark 1.1Step 3.7 FlashLeader
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: math1482Not measuredOnly Muse Spark 1.1 measured
LMArena Text: mathematical work1487Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Knowledge benchmarks for Muse Spark 1.1 and Step 3.7 Flash
BenchmarkMuse Spark 1.1Step 3.7 FlashLeader
MMLU Pro88.7%Not measuredOnly Muse Spark 1.1 measured
LegalBench (Vals AI)85.0%Not measuredOnly Muse Spark 1.1 measured
CorpFin (Vals AI)71.3%Not measuredOnly Muse Spark 1.1 measured
TaxEval (Vals AI)79.7%Not measuredOnly Muse Spark 1.1 measured
MortgageTax (Vals AI)66.1%Not measuredOnly Muse Spark 1.1 measured
SimpleQA Verified57.8%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: science1484Not measuredOnly Muse Spark 1.1 measured
LMArena Text: medicine and healthcare1479Not measuredOnly Muse Spark 1.1 measured
LMArena Text: legal and government1481Not measuredOnly Muse Spark 1.1 measured
LMArena Text: business and finance1470Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Muse Spark 1.1 and Step 3.7 Flash
BenchmarkMuse Spark 1.1Step 3.7 FlashLeader
Design Arena: websites12701196Muse Spark 1.1
Design Arena: UI components12891179Muse Spark 1.1
Design Arena: game dev12681158Muse Spark 1.1
Design Arena: data viz12681172Muse Spark 1.1
Design Arena: 3D12601129Muse Spark 1.1
Design Arena: all code categories12761182Muse Spark 1.1
Design Arena: SVG12341085Muse Spark 1.1
Design Arena: ASCII art12701152Muse Spark 1.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Muse Spark 1.1 and Step 3.7 Flash
BenchmarkMuse Spark 1.1Step 3.7 FlashLeader
Public Benefits Bench (Vals AI)61.3%Not measuredOnly Muse Spark 1.1 measured
SAGE (Vals AI)45.6%Not measuredOnly Muse Spark 1.1 measured
MedScribe (Vals AI)88.9%Not measuredOnly Muse Spark 1.1 measured
Vals Multimodal Index66.7%Not measuredOnly Muse Spark 1.1 measured
IFBenchNot measured67.3%Only Step 3.7 Flash measured
Long context reasoning (AA-LCR)77.7%73.7%Muse Spark 1.1
DTBench94.4%Not measuredOnly Muse Spark 1.1 measured
LMCA49.9%Not measuredOnly Muse Spark 1.1 measured
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: instruction following1457Not measuredOnly Muse Spark 1.1 measured
LMArena Text: creative writing1435Not measuredOnly Muse Spark 1.1 measured
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English1478Not measuredOnly Muse Spark 1.1 measured
LMArena Text: non-English1471Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Chinese1515Not measuredOnly Muse Spark 1.1 measured
LMArena Text: German1469Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Japanese1450Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Korean1459Not measuredOnly Muse Spark 1.1 measured
LMArena Text: French1492Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Spanish1464Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Russian1482Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Polish1499Not measuredOnly Muse Spark 1.1 measured
LMArena Text: multi-turn1484Not measuredOnly Muse Spark 1.1 measured
LMArena Text: longer queries1462Not measuredOnly Muse Spark 1.1 measured
LMArena Text: writing and language1448Not measuredOnly Muse Spark 1.1 measured
LMArena Text: entertainment and media1438Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: English1292Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: Chinese1348Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: reading text1301Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: humor1288Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: creative writing1253Not measuredOnly Muse Spark 1.1 measured
LMArena Document1465Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.1 and Step 3.7 Flash
BenchmarkMuse Spark 1.1Step 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 1.1$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 1.1$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 1.1$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 1.1 and Step 3.7 Flash
SpecificationMeta Muse Spark 1.1StepFun Step 3.7 Flash
MakerMetaStepFun
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026May 28, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.20
Output $/Mtok$4.25$1.15
Coding index70.3Not benchmarked
Independent measurements behind it30
Cost per solved task$0.43Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Step 3.7 Flash for coding?

Only Muse Spark 1.1 has a coding score, 70.3 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 1.1 or Step 3.7 Flash?

Muse Spark 1.1 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 Muse Spark 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Step 3.7 Flash?

Muse Spark 1.1, with 1.05M tokens against 262K.

How many benchmarks is the Muse Spark 1.1 vs Step 3.7 Flash comparison based on?

14 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.1's coding index rests on 3 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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