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Muse Spark 1.1 vs Hy3 preview

Muse Spark 1.1 leads Hy3 preview on the Artificial Analysis Intelligence Index, 33.7 to 25.3, and Hy3 preview costs 7.1x less per output token ($0.60 vs $4.25 per million). Updated October 22, 2026; 33 benchmarks have a result for both.

Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
33
Hy3 previewTencent
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 33 shared

Muse Spark 1.1 or Hy3 preview: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Hy3 preview has none, so the two cannot be ranked on coding.

Pick Hy3 preview for output tokens 7.1x cheaper ($0.60 vs $4.25 per million).

Shared results
33
Muse Spark 1.1 only
63
Hy3 preview only
3
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
Muse Spark 1.1 70.3 from 3 benchmarks, Hy3 preview not benchmarked.
Widest category
Coding, 20.9 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Muse Spark 1.1 1540 against Hy3 preview 1356, 30.6 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Hy3 preview $0.60 per million output tokens, 7.1x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, Hy3 preview 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 1.1BarsHy3 previewTies
Coding60
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge40
General140
All shared boards330
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Muse Spark 1.1 and Hy3 preview
BenchmarkMuse Spark 1.1Hy3 previewLeader
LMArena WebDev15421357Muse Spark 1.1
AA Coding Index71.358.8Muse 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%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.1%Only Hy3 preview measured
LMArena Text: coding14981421Muse Spark 1.1
LMArena Text: software and IT14981423Muse Spark 1.1
LMArena WebDev: React15321349Muse Spark 1.1
LMArena WebDev: HTML15401356Muse Spark 1.1
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Spark 1.1 and Hy3 preview
BenchmarkMuse Spark 1.1Hy3 previewLeader
AA Intelligence Index33.725.3Muse Spark 1.1
Epoch Capabilities Index154.1Not measuredOnly Muse Spark 1.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Muse Spark 1.1 and Hy3 preview
BenchmarkMuse Spark 1.1Hy3 previewLeader
AA Agentic Index25.824.1Muse Spark 1.1
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 apps1175Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Android apps1178Not 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 slides1155Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets1042Not 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 measured92.7%Only Hy3 preview 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 index50
Reasoning benchmarks for Muse Spark 1.1 and Hy3 preview
BenchmarkMuse Spark 1.1Hy3 previewLeader
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%86.7%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)46.2%27.8%Muse Spark 1.1
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts14851413Muse Spark 1.1
LMArena Text: expert14781422Muse Spark 1.1
LMArena Text: hard prompts in English14801416Muse Spark 1.1
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
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.1 and Hy3 preview
BenchmarkMuse Spark 1.1Hy3 previewLeader
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: math14821424Muse Spark 1.1
LMArena Text: mathematical work14871442Muse Spark 1.1
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.1 and Hy3 preview
BenchmarkMuse Spark 1.1Hy3 previewLeader
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: science14841416Muse Spark 1.1
LMArena Text: medicine and healthcare14791405Muse Spark 1.1
LMArena Text: legal and government14811430Muse Spark 1.1
LMArena Text: business and finance14701397Muse Spark 1.1
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Muse Spark 1.1 and Hy3 preview
BenchmarkMuse Spark 1.1Hy3 previewLeader
Design Arena: websites1270Not measuredOnly Muse Spark 1.1 measured
Design Arena: UI components1289Not measuredOnly Muse Spark 1.1 measured
Design Arena: game dev1269Not measuredOnly Muse Spark 1.1 measured
Design Arena: data viz1268Not measuredOnly Muse Spark 1.1 measured
Design Arena: 3D1260Not measuredOnly Muse Spark 1.1 measured
Design Arena: all code categories1276Not measuredOnly Muse Spark 1.1 measured
Design Arena: SVG1235Not measuredOnly Muse Spark 1.1 measured
Design Arena: ASCII art1271Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index140
General benchmarks for Muse Spark 1.1 and Hy3 preview
BenchmarkMuse Spark 1.1Hy3 previewLeader
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 measured63.1%Only Hy3 preview measured
Long context reasoning (AA-LCR)77.7%64.7%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 Text14781401Muse Spark 1.1
LMArena Text: instruction following14571383Muse Spark 1.1
LMArena Text: creative writing14351339Muse Spark 1.1
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English14781409Muse Spark 1.1
LMArena Text: non-English14711390Muse Spark 1.1
LMArena Text: Chinese15151435Muse Spark 1.1
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: French14921425Muse Spark 1.1
LMArena Text: Spanish14641399Muse Spark 1.1
LMArena Text: Russian14821399Muse Spark 1.1
LMArena Text: Polish1499Not measuredOnly Muse Spark 1.1 measured
LMArena Text: multi-turn14841411Muse Spark 1.1
LMArena Text: longer queries14621402Muse Spark 1.1
LMArena Text: writing and language14481370Muse Spark 1.1
LMArena Text: entertainment and media14381352Muse Spark 1.1
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 Hy3 preview
BenchmarkMuse Spark 1.1Hy3 previewLeader
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
Hy3 preview$0.0005Fits in one request

Hy3 preview costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Hy3 preview$0.011Fits in one request

Hy3 preview costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Hy3 preview$0.042Fits in one request

Hy3 preview 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 Hy3 preview
SpecificationMeta Muse Spark 1.1Tencent Hy3 preview
MakerMetaTencent
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026April 22, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.18
Output $/Mtok$4.25$0.60
Coding index70.3Not benchmarked
Independent measurements behind it31
Cost per solved task$0.43Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Hy3 preview for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Hy3 preview has none, so the two cannot be ranked on coding. Pick Hy3 preview for output tokens 7.1x cheaper ($0.60 vs $4.25 per million).

Which is cheaper, Muse Spark 1.1 or Hy3 preview?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Hy3 preview costs $0.18 and $0.60. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Hy3 preview?

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

How many benchmarks is the Muse Spark 1.1 vs Hy3 preview comparison based on?

33 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.1's coding index rests on 3 independent benchmarks and Hy3 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.

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