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Muse Spark 1.3 vs Hy3

Hy3 costs 8.0x less per output token than Muse Spark 1.3 ($0.528 vs $4.25 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
44
Hy3Tencent
Coding
No data
Overall
No data
Output $/M
$0.528
0
vs boards won of 44 shared

Muse Spark 1.3 or Hy3: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Hy3 has none, so the two cannot be ranked on coding.

Pick Hy3 for output tokens 8.0x cheaper ($0.528 vs $4.25 per million).

Shared results
44
Muse Spark 1.3 only
52
Hy3 only
0
Like-for-like categories
6 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, Hy3 not benchmarked.
Widest category
Web design, 16.5 points apart on average over 8 shared benchmarks.
Widest single gap
ALE-Bench: Muse Spark 1.3 1688.3 against Hy3 838.6, 28.3 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.3 $4.25 against Hy3 $0.528 per million output tokens, 8.0x apart.
Context window
Muse Spark 1.3 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 1.3BarsHy3Ties
Coding70
Reasoning50
Math20
Knowledge40
Web design80
General180
All shared boards440
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Muse Spark 1.3 and Hy3
BenchmarkMuse Spark 1.3Hy3Leader
LiveBench coding90.2%Not measuredOnly Muse Spark 1.3 measured
LMArena WebDev16591507Muse Spark 1.3
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%48.6%Muse Spark 1.3
FrontierSWE25.8%Not measuredOnly Muse Spark 1.3 measured
ALE-Bench1688.3838.6Muse Spark 1.3
LMArena Text: coding15101466Muse Spark 1.3
LMArena Text: software and IT15111463Muse Spark 1.3
LMArena WebDev: React16721511Muse Spark 1.3
LMArena WebDev: HTML16531487Muse Spark 1.3
LMArena WebDev: from an image1640Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Spark 1.3 and Hy3
BenchmarkMuse Spark 1.3Hy3Leader
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 Hy3
BenchmarkMuse Spark 1.3Hy3Leader
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 slides1217Not measuredOnly Muse Spark 1.3 measured
Design Arena: spreadsheets1075Not 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 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Muse Spark 1.3 and Hy3
BenchmarkMuse Spark 1.3Hy3Leader
LiveBench reasoning89.7%Not measuredOnly Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)94.1%89.7%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)48.7%33.5%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 prompts15031447Muse Spark 1.3
LMArena Text: expert15191461Muse Spark 1.3
LMArena Text: hard prompts in English15001455Muse Spark 1.3
LMArena Vision: diagrams1330Not measuredOnly Muse Spark 1.3 measured
LMArena Vision: homework1296Not measuredOnly Muse Spark 1.3 measured
Humanity's Last Exam (Scale run)25.4%Not measuredOnly Muse Spark 1.3 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 1.3 and Hy3
BenchmarkMuse Spark 1.3Hy3Leader
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: math14971473Muse Spark 1.3
LMArena Text: mathematical work14911482Muse Spark 1.3
MathArena43.0%Not measuredOnly Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.3 and Hy3
BenchmarkMuse Spark 1.3Hy3Leader
LMArena Text: science15071457Muse Spark 1.3
LMArena Text: medicine and healthcare14931452Muse Spark 1.3
LMArena Text: legal and government14991422Muse Spark 1.3
LMArena Text: business and finance14901424Muse Spark 1.3
PRBench Finance59.5%Not measuredOnly Muse Spark 1.3 measured
PRBench Legal61.6%Not 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 Hy3
BenchmarkMuse Spark 1.3Hy3Leader
Design Arena: websites13561230Muse Spark 1.3
Design Arena: UI components13501204Muse Spark 1.3
Design Arena: game dev13281208Muse Spark 1.3
Design Arena: data viz13441165Muse Spark 1.3
Design Arena: 3D13581232Muse Spark 1.3
Design Arena: all code categories13521227Muse Spark 1.3
Design Arena: SVG13011201Muse Spark 1.3
Design Arena: ASCII art12831152Muse Spark 1.3
LiveBench design74.8%Not measuredOnly Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for Muse Spark 1.3 and Hy3
BenchmarkMuse Spark 1.3Hy3Leader
LiveBench data analysis79.6%Not measuredOnly Muse Spark 1.3 measured
Long context reasoning (AA-LCR)83.0%79.0%Muse Spark 1.3
DTBench96.5%Not measuredOnly Muse Spark 1.3 measured
LMCA53.9%Not measuredOnly Muse Spark 1.3 measured
LMArena Text14901438Muse Spark 1.3
LMArena Text: instruction following14791426Muse Spark 1.3
LMArena Text: creative writing14621403Muse Spark 1.3
LMArena Vision1308Not measuredOnly Muse Spark 1.3 measured
LMArena Text: English14951448Muse Spark 1.3
LMArena Text: non-English14811426Muse Spark 1.3
LMArena Text: Chinese15321485Muse Spark 1.3
LMArena Text: German15131449Muse Spark 1.3
LMArena Text: Japanese14701397Muse Spark 1.3
LMArena Text: Korean14901396Muse Spark 1.3
LMArena Text: French15111456Muse Spark 1.3
LMArena Text: Spanish14961457Muse Spark 1.3
LMArena Text: Russian14911432Muse Spark 1.3
LMArena Text: Polish14901447Muse Spark 1.3
LMArena Text: multi-turn14871436Muse Spark 1.3
LMArena Text: longer queries14881442Muse Spark 1.3
LMArena Text: writing and language14701414Muse Spark 1.3
LMArena Text: entertainment and media14571400Muse Spark 1.3
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 21 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 Hy3
BenchmarkMuse Spark 1.3Hy3Leader
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
Hy3$0.0004Fits in one request

Hy3 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.3$0.075Fits in one request
Hy3$0.0082Fits in one request

Hy3 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.3$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 1.3 and Hy3
SpecificationMeta Muse Spark 1.3Tencent Hy3
MakerMetaTencent
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026July 6, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.132
Output $/Mtok$4.25$0.528
Coding index57.4Not benchmarked
Independent measurements behind it41
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.3 better than Hy3 for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Hy3 has none, so the two cannot be ranked on coding. Pick Hy3 for output tokens 8.0x cheaper ($0.528 vs $4.25 per million).

Which is cheaper, Muse Spark 1.3 or Hy3?

Muse Spark 1.3 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 neither of them.

Which has the bigger context window, Muse Spark 1.3 or Hy3?

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

How many benchmarks is the Muse Spark 1.3 vs Hy3 comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.3's coding index rests on 4 independent benchmarks 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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