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Muse Spark 1.2 vs Hy4

Hy4 leads Muse Spark 1.2 on coding, 65.2 to 50.9 on the Vibe Coding Index, and Hy4 costs 3.4x less per output token ($1.2505 vs $4.25 per million). Updated November 5, 2026; 4 benchmarks have a result for both.

Muse Spark 1.2Meta
Coding
50.9
Overall
56.7
Output $/M
$4.25
1
Hy4Tencent
Coding
65.2
Overall
No data
Output $/M
$1.2505
3
vs boards won of 4 shared

Muse Spark 1.2 or Hy4: which to pick

Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 50.9 for Muse Spark 1.2, though on 2 benchmarks against 4.

Pick Muse Spark 1.2 for work measured by Legal Research Bench (Vals AI), where it leads.

Shared results
4
Muse Spark 1.2 only
90
Hy4 only
2
Like-for-like categories
2 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 1.2 50.9 from 4 benchmarks, Hy4 65.2 from 2 benchmarks.
Widest category
Coding, 23.2 points apart on average over 2 shared benchmarks.
Widest single gap
Terminal-Bench 4 (Vals AI): Muse Spark 1.2 6.1% against Hy4 39.4%, 44.4 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $4.25 against Hy4 $1.2505 per million output tokens, 3.4x apart.
Context window
Both take 1.05M tokens.

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 1.2BarsHy4Ties
Coding02
Agentic work11
All shared boards13
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Muse Spark 1.2 and Hy4
BenchmarkMuse Spark 1.2Hy4Leader
LMArena WebDev1534Not measuredOnly Muse Spark 1.2 measured
AA Coding Index72.2Not measuredOnly Muse Spark 1.2 measured
SWE-bench Verified (Vals AI)86.6%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)6.1%39.4%Hy4
Vibe Code Bench (Vals AI)79.1%81.0%Hy4
Code migration (Vals AI)29.9%Not measuredOnly Muse Spark 1.2 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Muse Spark 1.2 measured
IOI (Vals AI)21.8%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)69.7%Not measuredOnly Muse Spark 1.2 measured
SkillsBench (Vals AI)53.0%Not measuredOnly Muse Spark 1.2 measured
CyberBench (Vals AI)69.5%Not measuredOnly Muse Spark 1.2 measured
SciCode57.4%Not measuredOnly Muse Spark 1.2 measured
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
WeirdML60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: coding1506Not measuredOnly Muse Spark 1.2 measured
LMArena Text: software and IT1508Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev: React1526Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev: HTML1543Not measuredOnly Muse Spark 1.2 measured
GameBench 257.4Not measuredOnly Muse Spark 1.2 measured
ProgramBench0.0%Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Muse Spark 1.2 and Hy4
BenchmarkMuse Spark 1.2Hy4Leader
Epoch Capabilities Index155.1Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Muse Spark 1.2 and Hy4
BenchmarkMuse Spark 1.2Hy4Leader
AA Agentic Index43.2Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building web apps1206Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building full-stack apps1206Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building mobile apps1182Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building Android apps1220Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building games1129Not measuredOnly Muse Spark 1.2 measured
Design Arena: HTML slides1031Not measuredOnly Muse Spark 1.2 measured
Design Arena: PowerPoint slides1149Not measuredOnly Muse Spark 1.2 measured
Design Arena: spreadsheets1033Not measuredOnly Muse Spark 1.2 measured
SREBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.2 measured
Finance Agent (Vals AI)60.6%Not measuredOnly Muse Spark 1.2 measured
Tax Agent Bench (Vals AI)32.8%34.4%Hy4
Legal Research Bench (Vals AI)43.8%41.4%Muse Spark 1.2
Harvey's Legal Agent Benchmark (Vals AI)Not measured12.5%Only Hy4 measured
Excel Modeling Benchmark (Vals AI)57.0%Not measuredOnly Muse Spark 1.2 measured
BioMysteryBench (Vals AI)64.8%Not measuredOnly Muse Spark 1.2 measured
APEX-Agents45.4%Not measuredOnly Muse Spark 1.2 measured
Toolathlon-Verified75.9%Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 26 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Reasoning benchmarks for Muse Spark 1.2 and Hy4
BenchmarkMuse Spark 1.2Hy4Leader
MMMU Pro (Vals AI)86.1%Not measuredOnly Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)90.4%Not measuredOnly Muse Spark 1.2 measured
Humanity's Last Exam (Artificial Analysis run)45.5%Not measuredOnly Muse Spark 1.2 measured
SimpleBench74.5%Not measuredOnly Muse Spark 1.2 measured
Chess puzzles27.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: hard prompts1492Not measuredOnly Muse Spark 1.2 measured
LMArena Text: expert1477Not measuredOnly Muse Spark 1.2 measured
LMArena Text: hard prompts in English1491Not measuredOnly Muse Spark 1.2 measured
LMArena Vision: diagrams1317Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Muse Spark 1.2 and Hy4
BenchmarkMuse Spark 1.2Hy4Leader
ProofBench43.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: math1485Not measuredOnly Muse Spark 1.2 measured
LMArena Text: mathematical work1488Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Muse Spark 1.2 and Hy4
BenchmarkMuse Spark 1.2Hy4Leader
MMLU Pro88.3%Not measuredOnly Muse Spark 1.2 measured
LegalBench (Vals AI)85.3%Not measuredOnly Muse Spark 1.2 measured
CorpFin (Vals AI)70.9%Not measuredOnly Muse Spark 1.2 measured
TaxEval (Vals AI)80.4%Not measuredOnly Muse Spark 1.2 measured
MortgageTax (Vals AI)65.4%Not measuredOnly Muse Spark 1.2 measured
MedCode (Vals AI)49.4%Not measuredOnly Muse Spark 1.2 measured
SimpleQA Verified60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: science1499Not measuredOnly Muse Spark 1.2 measured
LMArena Text: medicine and healthcare1494Not measuredOnly Muse Spark 1.2 measured
LMArena Text: legal and government1509Not measuredOnly Muse Spark 1.2 measured
LMArena Text: business and finance1484Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Muse Spark 1.2 and Hy4
BenchmarkMuse Spark 1.2Hy4Leader
Design Arena: websites1312Not measuredOnly Muse Spark 1.2 measured
Design Arena: UI components1302Not measuredOnly Muse Spark 1.2 measured
Design Arena: game dev1300Not measuredOnly Muse Spark 1.2 measured
Design Arena: data viz1328Not measuredOnly Muse Spark 1.2 measured
Design Arena: 3D1300Not measuredOnly Muse Spark 1.2 measured
Design Arena: all code categories1311Not measuredOnly Muse Spark 1.2 measured
Design Arena: SVG1278Not measuredOnly Muse Spark 1.2 measured
Design Arena: ASCII art1279Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index26 boards, none shared
General benchmarks for Muse Spark 1.2 and Hy4
BenchmarkMuse Spark 1.2Hy4Leader
Vals IndexNot measured59.4%Only Hy4 measured
Public Benefits Bench (Vals AI)68.5%Not measuredOnly Muse Spark 1.2 measured
MedScribe (Vals AI)90.1%Not measuredOnly Muse Spark 1.2 measured
Vals Multimodal Index69.8%Not measuredOnly Muse Spark 1.2 measured
Long context reasoning (AA-LCR)79.0%Not measuredOnly Muse Spark 1.2 measured
DTBench94.7%Not measuredOnly Muse Spark 1.2 measured
LMCA48.4%Not measuredOnly Muse Spark 1.2 measured
LMArena Text1483Not measuredOnly Muse Spark 1.2 measured
LMArena Text: instruction following1465Not measuredOnly Muse Spark 1.2 measured
LMArena Text: creative writing1437Not measuredOnly Muse Spark 1.2 measured
LMArena Vision1304Not measuredOnly Muse Spark 1.2 measured
LMArena Text: English1484Not measuredOnly Muse Spark 1.2 measured
LMArena Text: non-English1475Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Chinese1510Not measuredOnly Muse Spark 1.2 measured
LMArena Text: German1492Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Japanese1470Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Korean1454Not measuredOnly Muse Spark 1.2 measured
LMArena Text: French1500Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Spanish1491Not measuredOnly Muse Spark 1.2 measured
LMArena Text: Russian1481Not measuredOnly Muse Spark 1.2 measured
LMArena Text: multi-turn1496Not measuredOnly Muse Spark 1.2 measured
LMArena Text: longer queries1474Not measuredOnly Muse Spark 1.2 measured
LMArena Text: writing and language1451Not measuredOnly Muse Spark 1.2 measured
LMArena Text: entertainment and media1442Not measuredOnly Muse Spark 1.2 measured
LMArena Vision: English1291Not measuredOnly Muse Spark 1.2 measured
LMArena Vision: reading text1313Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.2 and Hy4
BenchmarkMuse Spark 1.2Hy4Leader
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 1.2$0.0034Fits in one request
Hy4$0.0010Fits in one request

Hy4 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.2$0.075Fits in one request
Hy4$0.025Fits in one request

Hy4 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.2$0.292Fits in one request
Hy4$0.096Fits in one request

Hy4 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 1.2 and Hy4
SpecificationMeta Muse Spark 1.2Tencent Hy4
MakerMetaTencent
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2026November 4, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$0.417
Output $/Mtok$4.25$1.2505
Coding index50.965.2
Independent measurements behind it42
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.2 better than Hy4 for coding?

Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 50.9 for Muse Spark 1.2, though on 2 benchmarks against 4. Pick Muse Spark 1.2 for work measured by Legal Research Bench (Vals AI), where it leads.

Which is cheaper, Muse Spark 1.2 or Hy4?

Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens; Hy4 costs $0.417 and $1.2505. Cost per solved task is known for Muse Spark 1.2 only.

Which has the bigger context window, Muse Spark 1.2 or Hy4?

Neither: both take 1.05M tokens.

How many benchmarks is the Muse Spark 1.2 vs Hy4 comparison based on?

4 benchmarks have a result for both models as of November 5, 2026. Muse Spark 1.2's coding index rests on 4 independent benchmarks and Hy4's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/meta-muse-spark-1-2-vs-tencent-hy4">LLMBenchmark.ai, Muse Spark 1.2 vs Hy4</a></p>