Enter opens the highlighted result. Esc closes.

Muse Spark 1.2 vs Phi 4

Muse Spark 1.2 leads Phi 4 on the Artificial Analysis Intelligence Index, 39.6 to 5.9, and Phi 4 costs 30.4x less per output token ($0.14 vs $4.25 per million). Updated October 21, 2026; 30 benchmarks have a result for both.

Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
30
Phi 4Microsoft
Coding
No data
Overall
24.7
Output $/M
$0.14
0
vs boards won of 30 shared

Muse Spark 1.2 or Phi 4: which to pick

Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; Phi 4 has none, so the two cannot be ranked on coding.

Pick Phi 4 for output tokens 30.4x cheaper ($0.14 vs $4.25 per million).

Shared results
30
Muse Spark 1.2 only
67
Phi 4 only
16
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 1.2 55.7 from 5 benchmarks, Phi 4 not benchmarked.
Widest category
Knowledge, 47.9 points apart on average over 4 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Muse Spark 1.2 79.0% against Phi 4 0.0%, 79.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.2 $4.25 against Phi 4 $0.14 per million output tokens, 30.4x apart.
Context window
Muse Spark 1.2 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 1.2BarsPhi 4Ties
Coding20
Intelligence20
Reasoning50
Math20
Knowledge40
General150
All shared boards300
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Spark 1.2 and Phi 4
BenchmarkMuse Spark 1.2Phi 4Leader
LiveBench coding78.2%Not measuredOnly Muse Spark 1.2 measured
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%Not measuredOnly Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)79.1%Not measuredOnly Muse Spark 1.2 measured
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
LiveCodeBench (Artificial Analysis run)Not measured23.1%Only Phi 4 measured
SciCode57.4%Not measuredOnly Muse Spark 1.2 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Phi 4 measured
FrontierSWE12.0%Not measuredOnly Muse Spark 1.2 measured
WeirdML60.3%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: coding15051231Muse Spark 1.2
LMArena Text: software and IT15051228Muse Spark 1.2
LMArena WebDev: React1526Not measuredOnly Muse Spark 1.2 measured
LMArena WebDev: HTML1543Not measuredOnly Muse Spark 1.2 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Muse Spark 1.2 and Phi 4
BenchmarkMuse Spark 1.2Phi 4Leader
AA Intelligence Index39.65.9Muse Spark 1.2
Epoch Capabilities Index155.1130.5Muse Spark 1.2
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for Muse Spark 1.2 and Phi 4
BenchmarkMuse Spark 1.2Phi 4Leader
AA Agentic Index43.2Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building web apps1221Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building full-stack apps1210Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building mobile apps1181Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building Android apps1221Not measuredOnly Muse Spark 1.2 measured
Design Arena: agents building games1179Not measuredOnly Muse Spark 1.2 measured
Design Arena: HTML slides1135Not measuredOnly Muse Spark 1.2 measured
Design Arena: PowerPoint slides1198Not measuredOnly Muse Spark 1.2 measured
LiveBench research67.7%Not measuredOnly Muse Spark 1.2 measured
LiveBench browser36.0%Not measuredOnly Muse Spark 1.2 measured
LiveBench long agentic21.3%Not 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%Not measuredOnly Muse Spark 1.2 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Muse Spark 1.2 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
τ²-Bench TelecomNot measured0.0%Only Phi 4 measured
APEX-Agents45.4%Not measuredOnly Muse Spark 1.2 measured
BALROGNot measured11.6%Only Phi 4 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured28.8%Only Phi 4 measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Muse Spark 1.2 and Phi 4
BenchmarkMuse Spark 1.2Phi 4Leader
LiveBench reasoning90.0%Not measuredOnly Muse Spark 1.2 measured
MMMU Pro (Vals AI)86.1%Not measuredOnly Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)90.4%57.5%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)45.5%3.8%Muse Spark 1.2
GPQA Diamond (Epoch AI run)Not measured56.1%Only Phi 4 measured
SimpleBench74.5%Not measuredOnly Muse Spark 1.2 measured
Chess puzzles27.0%Not measuredOnly Muse Spark 1.2 measured
LMArena Text: hard prompts14891220Muse Spark 1.2
LMArena Text: expert14751203Muse Spark 1.2
LMArena Text: hard prompts in English14871230Muse Spark 1.2
LMArena Vision: diagrams1317Not measuredOnly Muse Spark 1.2 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 1.2 and Phi 4
BenchmarkMuse Spark 1.2Phi 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
ProofBench43.0%Not measuredOnly Muse Spark 1.2 measured
MATH level 5Not measured64.9%Only Phi 4 measured
LMArena Text: math14841246Muse Spark 1.2
LMArena Text: mathematical work14801254Muse Spark 1.2
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 1.2 and Phi 4
BenchmarkMuse Spark 1.2Phi 4Leader
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
MMLU Pro (Artificial Analysis run)Not measured71.4%Only Phi 4 measured
SimpleQA Verified60.3%Not measuredOnly Muse Spark 1.2 measured
MMLUNot measured84.8%Only Phi 4 measured
LMArena Text: science15001206Muse Spark 1.2
LMArena Text: medicine and healthcare14961202Muse Spark 1.2
LMArena Text: legal and government15171241Muse Spark 1.2
LMArena Text: business and finance14841199Muse Spark 1.2
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Muse Spark 1.2 and Phi 4
BenchmarkMuse Spark 1.2Phi 4Leader
Design Arena: websites1313Not measuredOnly Muse Spark 1.2 measured
Design Arena: UI components1301Not measuredOnly Muse Spark 1.2 measured
Design Arena: game dev1301Not measuredOnly Muse Spark 1.2 measured
Design Arena: data viz1334Not measuredOnly Muse Spark 1.2 measured
Design Arena: 3D1302Not measuredOnly Muse Spark 1.2 measured
Design Arena: all code categories1313Not measuredOnly Muse Spark 1.2 measured
Design Arena: SVG1286Not measuredOnly Muse Spark 1.2 measured
Design Arena: ASCII art1283Not measuredOnly Muse Spark 1.2 measured
LiveBench design67.1%Not measuredOnly Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for Muse Spark 1.2 and Phi 4
BenchmarkMuse Spark 1.2Phi 4Leader
LiveBench data analysis76.5%Not measuredOnly Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)68.5%Not measuredOnly Muse Spark 1.2 measured
SAGE (Vals AI)47.7%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
IFBenchNot measured23.5%Only Phi 4 measured
Long context reasoning (AA-LCR)79.0%0.0%Muse Spark 1.2
DTBench94.7%Not measuredOnly Muse Spark 1.2 measured
LMCA48.4%Not measuredOnly Muse Spark 1.2 measured
Creative writing (Lech Mazur)Not measured62.6%Only Phi 4 measured
LMArena Text14821217Muse Spark 1.2
LMArena Text: instruction following14621201Muse Spark 1.2
LMArena Text: creative writing14361181Muse Spark 1.2
LMArena Vision1304Not measuredOnly Muse Spark 1.2 measured
LMArena Text: English14831231Muse Spark 1.2
LMArena Text: non-English14761197Muse Spark 1.2
LMArena Text: Chinese15091212Muse Spark 1.2
LMArena Text: GermanNot measured1222Only Phi 4 measured
LMArena Text: JapaneseNot measured1158Only Phi 4 measured
LMArena Text: Korean14621151Muse Spark 1.2
LMArena Text: French14951224Muse Spark 1.2
LMArena Text: Spanish14841234Muse Spark 1.2
LMArena Text: Russian14831209Muse Spark 1.2
LMArena Text: multi-turn15021206Muse Spark 1.2
LMArena Text: longer queries14731217Muse Spark 1.2
LMArena Text: writing and language14531198Muse Spark 1.2
LMArena Text: entertainment and media14431162Muse Spark 1.2
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 17 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 Phi 4
BenchmarkMuse Spark 1.2Phi 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 1.2$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 1.2$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 1.2$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 1.2 and Phi 4
SpecificationMeta Muse Spark 1.2Microsoft Phi 4
MakerMetaMicrosoft
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2026January 10, 2025
Context window1.05M16K
Input $/Mtok$1.25$0.07
Output $/Mtok$4.25$0.14
Coding index55.7Not benchmarked
Independent measurements behind it50
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.2 better than Phi 4 for coding?

Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; Phi 4 has none, so the two cannot be ranked on coding. Pick Phi 4 for output tokens 30.4x cheaper ($0.14 vs $4.25 per million).

Which is cheaper, Muse Spark 1.2 or Phi 4?

Muse Spark 1.2 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 1.2 only.

Which has the bigger context window, Muse Spark 1.2 or Phi 4?

Muse Spark 1.2, with 1.05M tokens against 16K.

How many benchmarks is the Muse Spark 1.2 vs Phi 4 comparison based on?

30 benchmarks have a result for both models as of October 21, 2026. Muse Spark 1.2's coding index rests on 5 independent benchmarks and Phi 4's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next