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Muse Spark 1.1 vs Phi 4

Updated October 21, 2026. 32 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
70.3
Overall
33.7
Output $/M
$4.25
32
Phi 4Microsoft
Coding
No data
Overall
5.9
Output $/M
$0.14
0
vs boards won of 32 shared

Decision reading

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Phi 4 has none, so the two cannot be ranked on coding.

Phi 4 has the edge where output tokens cost 30.4x less.

Shared results
32
Muse Spark 1.1 only
64
Phi 4 only
13
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 70.3 from 3 benchmarks, Phi 4 not benchmarked.
Widest category
General, 46.3 points apart on average over 17 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Muse Spark 1.1 77.7% against Phi 4 0.0%, 77.7 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Phi 4 $0.14 per million output tokens, 30.4x apart.
Context window
Muse Spark 1.1 takes 1.05M tokens, Phi 4 16K.

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 1.1BarsPhi 4Ties
Coding20
Intelligence20
Reasoning50
Math20
Knowledge40
General170
All shared boards320
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark 1.1 and Phi 4
BenchmarkMuse Spark 1.1Phi 4Leader
LMArena WebDev1542Not measuredOnly Muse Spark 1.1 measured
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
LiveCodeBench (Artificial Analysis run)Not measured23.1%Only Phi 4 measured
SciCode58.8%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Phi 4 measured
LMArena Text: coding14981231Muse Spark 1.1
LMArena Text: software and IT14981228Muse Spark 1.1
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 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.1 and Phi 4
BenchmarkMuse Spark 1.1Phi 4Leader
AA Intelligence Index33.75.9Muse Spark 1.1
Epoch Capabilities Index154.1130.5Muse Spark 1.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Muse Spark 1.1 and Phi 4
BenchmarkMuse Spark 1.1Phi 4Leader
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 measured0.0%Only Phi 4 measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
BALROGNot measured11.6%Only Phi 4 measured
Vending-Bench 2$6,520Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Muse Spark 1.1 and Phi 4
BenchmarkMuse Spark 1.1Phi 4Leader
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%57.5%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)46.2%3.8%Muse Spark 1.1
GPQA Diamond (Epoch AI run)Not measured56.1%Only Phi 4 measured
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts14851220Muse Spark 1.1
LMArena Text: expert14781203Muse Spark 1.1
LMArena Text: hard prompts in English14801230Muse 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 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Spark 1.1 and Phi 4
BenchmarkMuse Spark 1.1Phi 4Leader
AA Math IndexNot measured18.0Only Phi 4 measured
AIME 2025 (Artificial Analysis run)Not measured18.0%Only Phi 4 measured
OTIS Mock AIMENot measured13.8%Only Phi 4 measured
ProofBench39.0%Not measuredOnly Muse Spark 1.1 measured
MATH level 5Not measured64.9%Only Phi 4 measured
LMArena Text: math14821246Muse Spark 1.1
LMArena Text: mathematical work14871254Muse Spark 1.1
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Spark 1.1 and Phi 4
BenchmarkMuse Spark 1.1Phi 4Leader
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
MMLU Pro (Artificial Analysis run)Not measured71.4%Only Phi 4 measured
SimpleQA Verified57.8%Not measuredOnly Muse Spark 1.1 measured
MMLUNot measured84.8%Only Phi 4 measured
LMArena Text: science14841206Muse Spark 1.1
LMArena Text: medicine and healthcare14791202Muse Spark 1.1
LMArena Text: legal and government14811241Muse Spark 1.1
LMArena Text: business and finance14701199Muse Spark 1.1
Neither model has a result on the other 5 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 Phi 4
BenchmarkMuse Spark 1.1Phi 4Leader
Design Arena: websites1270Not measuredOnly Muse Spark 1.1 measured
Design Arena: UI components1289Not measuredOnly Muse Spark 1.1 measured
Design Arena: game dev1268Not 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: SVG1234Not measuredOnly Muse Spark 1.1 measured
Design Arena: ASCII art1270Not 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 index170
General benchmarks for Muse Spark 1.1 and Phi 4
BenchmarkMuse Spark 1.1Phi 4Leader
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 measured23.5%Only Phi 4 measured
Long context reasoning (AA-LCR)77.7%0.0%Muse Spark 1.1
DTBench94.4%Not measuredOnly Muse Spark 1.1 measured
LMCA49.9%Not measuredOnly Muse Spark 1.1 measured
Creative writing (Lech Mazur)Not measured62.6%Only Phi 4 measured
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text14781217Muse Spark 1.1
LMArena Text: instruction following14571201Muse Spark 1.1
LMArena Text: creative writing14351181Muse Spark 1.1
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English14781231Muse Spark 1.1
LMArena Text: non-English14711197Muse Spark 1.1
LMArena Text: Chinese15151212Muse Spark 1.1
LMArena Text: German14691222Muse Spark 1.1
LMArena Text: Japanese14501158Muse Spark 1.1
LMArena Text: Korean14591151Muse Spark 1.1
LMArena Text: French14921224Muse Spark 1.1
LMArena Text: Spanish14641234Muse Spark 1.1
LMArena Text: Russian14821209Muse Spark 1.1
LMArena Text: Polish1499Not measuredOnly Muse Spark 1.1 measured
LMArena Text: multi-turn14841206Muse Spark 1.1
LMArena Text: longer queries14621217Muse Spark 1.1
LMArena Text: writing and language14481198Muse Spark 1.1
LMArena Text: entertainment and media14381162Muse 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 12 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 Phi 4
BenchmarkMuse Spark 1.1Phi 4Leader
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
Phi 4$0.0001Fits in one request

Phi 4 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Phi 4$0.0039Exceeds the context window

Phi 4 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Phi 4$0.015Exceeds the context window

Phi 4 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 Phi 4
SpecificationMeta Muse Spark 1.1Microsoft Phi 4
MakerMetaMicrosoft
WeightsNo public weights listedOpen weights
ReleasedJuly 16, 2026January 10, 2025
Context window1.05M16K
Input $/Mtok$1.25$0.07
Output $/Mtok$4.25$0.14
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 Phi 4 for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Phi 4 has none, so the two cannot be ranked on coding. Phi 4 has the edge where output tokens cost 30.4x less.

Which is cheaper, Muse Spark 1.1 or Phi 4?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Phi 4 costs $0.07 and $0.14. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Phi 4?

Muse Spark 1.1, with 1.05M tokens against 16K.

How many benchmarks is the Muse Spark 1.1 vs Phi 4 comparison based on?

32 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 Phi 4's on 0. Where only one model has a result, the page says so instead of naming a winner.

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