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Muse Spark 1.1 vs Hy3

Updated October 21, 2026. 43 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Muse Spark 1.1Meta
Coding
48.9
Overall
33.7
Output $/M
$4.25
42
Hy3Tencent
Coding
43.9
Overall
No data
Output $/M
$0.528
1
vs boards won of 43 shared

Decision reading

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 43.9 for Hy3.

Pick Hy3 when output tokens cost 8.0x less, or when the benchmark that matters is Long context reasoning (AA-LCR), where it leads.

Shared results
43
Muse Spark 1.1 only
53
Hy3 only
1
Like-for-like categories
6 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 1.1 48.9 from 1 benchmark, Hy3 43.9 from 1 benchmark.
Widest category
Web design, 8.0 points apart on average over 8 shared benchmarks.
Widest single gap
Design Arena: ASCII art: Muse Spark 1.1 1270 against Hy3 1157, 14.1 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Hy3 $0.528 per million output tokens, 8.0x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, Hy3 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 1.1BarsHy3Ties
Coding60
Reasoning50
Math20
Knowledge40
Web design80
General171
All shared boards421
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for Muse Spark 1.1 and Hy3
BenchmarkMuse Spark 1.1Hy3Leader
LMArena WebDev15421507Muse Spark 1.1
AA Coding Index71.3Not measuredOnly Muse Spark 1.1 measured
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%48.6%Muse Spark 1.1
ALE-BenchNot measured838.6Only Hy3 measured
LMArena Text: coding14981466Muse Spark 1.1
LMArena Text: software and IT14981463Muse Spark 1.1
LMArena WebDev: React15321511Muse Spark 1.1
LMArena WebDev: HTML15401487Muse Spark 1.1
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 22 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Spark 1.1 and Hy3
BenchmarkMuse Spark 1.1Hy3Leader
AA Intelligence Index33.7Not measuredOnly Muse Spark 1.1 measured
Epoch Capabilities Index154.1Not measuredOnly Muse Spark 1.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for Muse Spark 1.1 and Hy3
BenchmarkMuse Spark 1.1Hy3Leader
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 slides1194Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1156Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets974Not 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
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 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Muse Spark 1.1 and Hy3
BenchmarkMuse Spark 1.1Hy3Leader
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%89.7%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)46.2%33.5%Muse Spark 1.1
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts14851447Muse Spark 1.1
LMArena Text: expert14781461Muse Spark 1.1
LMArena Text: hard prompts in English14801455Muse 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 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.1 and Hy3
BenchmarkMuse Spark 1.1Hy3Leader
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: math14821473Muse Spark 1.1
LMArena Text: mathematical work14871482Muse 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
BenchmarkMuse Spark 1.1Hy3Leader
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: science14841457Muse Spark 1.1
LMArena Text: medicine and healthcare14791452Muse Spark 1.1
LMArena Text: legal and government14811422Muse Spark 1.1
LMArena Text: business and finance14701424Muse Spark 1.1
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Muse Spark 1.1 and Hy3
BenchmarkMuse Spark 1.1Hy3Leader
Design Arena: websites12701230Muse Spark 1.1
Design Arena: UI components12901205Muse Spark 1.1
Design Arena: game dev12691208Muse Spark 1.1
Design Arena: data viz12681163Muse Spark 1.1
Design Arena: 3D12601233Muse Spark 1.1
Design Arena: all code categories12761227Muse Spark 1.1
Design Arena: SVG12341199Muse Spark 1.1
Design Arena: ASCII art12701157Muse 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 index171
General benchmarks for Muse Spark 1.1 and Hy3
BenchmarkMuse Spark 1.1Hy3Leader
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
Long context reasoning (AA-LCR)77.7%79.0%Hy3
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 Text14781438Muse Spark 1.1
LMArena Text: instruction following14571426Muse Spark 1.1
LMArena Text: creative writing14351403Muse Spark 1.1
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English14781448Muse Spark 1.1
LMArena Text: non-English14711426Muse Spark 1.1
LMArena Text: Chinese15151485Muse Spark 1.1
LMArena Text: German14691449Muse Spark 1.1
LMArena Text: Japanese14501397Muse Spark 1.1
LMArena Text: Korean14591396Muse Spark 1.1
LMArena Text: French14921456Muse Spark 1.1
LMArena Text: Spanish14641457Muse Spark 1.1
LMArena Text: Russian14821432Muse Spark 1.1
LMArena Text: Polish14991447Muse Spark 1.1
LMArena Text: multi-turn14841436Muse Spark 1.1
LMArena Text: longer queries14621442Muse Spark 1.1
LMArena Text: writing and language14481414Muse Spark 1.1
LMArena Text: entertainment and media14381400Muse 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 14 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
BenchmarkMuse Spark 1.1Hy3Leader
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$0.0004Fits in one request

Hy3 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Hy3$0.0082Fits in one request

Hy3 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Hy3$0.032Fits in one request

Hy3 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
SpecificationMeta Muse Spark 1.1Tencent Hy3
MakerMetaTencent
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026July 6, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.132
Output $/Mtok$4.25$0.528
Coding index48.943.9
Independent measurements behind it11
Cost per solved task$0.43Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Hy3 for coding?

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 43.9 for Hy3. Pick Hy3 when output tokens cost 8.0x less, or when the benchmark that matters is Long context reasoning (AA-LCR), where it leads.

Which is cheaper, Muse Spark 1.1 or Hy3?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for Muse Spark 1.1 only.

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

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

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

43 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.1's coding index rests on 1 independent benchmark and Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.

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