Enter opens the highlighted result. Esc closes.

GPT-4o (2024-11-20) vs Muse Spark 1.1

Muse Spark 1.1 leads GPT-4o (2024-11-20) on the Artificial Analysis Intelligence Index, 33.7 to 8.4, and Muse Spark 1.1 costs 2.4x less per output token ($4.25 vs $10.00 per million). Updated October 23, 2026; 9 benchmarks have a result for both.

GPT-4o (2024-11-20)OpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
0
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
9
vs boards won of 9 shared

GPT-4o (2024-11-20) or Muse Spark 1.1: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; GPT-4o (2024-11-20) has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
9
GPT-4o (2024-11-20) only
15
Muse Spark 1.1 only
95
Like-for-like categories
4 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
GPT-4o (2024-11-20) not benchmarked, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Coding, 42.5 points apart on average over 1 shared benchmark.
Widest single gap
LiveCodeBench (Vals AI): GPT-4o (2024-11-20) 43.4% against Muse Spark 1.1 85.9%, 42.5 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-11-20) $10.00 against Muse Spark 1.1 $4.25 per million output tokens, 2.4x apart.
Context window
GPT-4o (2024-11-20) takes 128K tokens, Muse Spark 1.1 1.05M.

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
CategoryGPT-4o (2024-11-20)BarsMuse Spark 1.1Ties
Coding01
Intelligence01
Reasoning02
Knowledge05
All shared boards09
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for GPT-4o (2024-11-20) and Muse Spark 1.1
BenchmarkGPT-4o (2024-11-20)Muse Spark 1.1Leader
Aider polyglot18.2%Not measuredOnly GPT-4o (2024-11-20) measured
LMArena WebDevNot measured1543Only Muse Spark 1.1 measured
AA Coding IndexNot measured71.3Only Muse Spark 1.1 measured
LiveCodeBench (Vals AI)43.4%85.9%Muse Spark 1.1
SWE-bench Verified (Vals AI)Not measured82.0%Only Muse Spark 1.1 measured
Vibe Code Bench (Vals AI)Not measured72.2%Only Muse Spark 1.1 measured
Code migration (Vals AI)Not measured31.1%Only Muse Spark 1.1 measured
ProgramBench (Vals AI)Not measured0.0%Only Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.3%Only Muse Spark 1.1 measured
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
SciCodeNot measured58.8%Only Muse Spark 1.1 measured
GSO-Bench0.0%Not measuredOnly GPT-4o (2024-11-20) measured
WeirdML25.1%Not measuredOnly GPT-4o (2024-11-20) measured
Cybench12.5%Not measuredOnly GPT-4o (2024-11-20) measured
LMArena Text: codingNot measured1498Only Muse Spark 1.1 measured
LMArena Text: software and ITNot measured1498Only Muse Spark 1.1 measured
LMArena WebDev: ReactNot measured1532Only Muse Spark 1.1 measured
LMArena WebDev: HTMLNot measured1539Only Muse Spark 1.1 measured
LMArena WebDev: from an imageNot measured1540Only Muse Spark 1.1 measured
SWE Atlas: Codebase QnANot measured42.2%Only Muse Spark 1.1 measured
SWE Atlas: Test WritingNot measured41.5%Only Muse Spark 1.1 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-11-20) and Muse Spark 1.1
BenchmarkGPT-4o (2024-11-20)Muse Spark 1.1Leader
AA Intelligence Index8.433.7Muse Spark 1.1
Epoch Capabilities IndexNot measured154.1Only Muse Spark 1.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for GPT-4o (2024-11-20) and Muse Spark 1.1
BenchmarkGPT-4o (2024-11-20)Muse Spark 1.1Leader
AA Agentic IndexNot measured25.8Only Muse Spark 1.1 measured
Design Arena: agents building web appsNot measured1207Only Muse Spark 1.1 measured
Design Arena: agents building full-stack appsNot measured1199Only Muse Spark 1.1 measured
Design Arena: agents building mobile appsNot measured1173Only Muse Spark 1.1 measured
Design Arena: agents building Android appsNot measured1178Only Muse Spark 1.1 measured
Design Arena: agents building Godot gamesNot measured1103Only Muse Spark 1.1 measured
Design Arena: agents building gamesNot measured1183Only Muse Spark 1.1 measured
Design Arena: HTML slidesNot measured1108Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1122Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured1013Only Muse Spark 1.1 measured
Finance Agent (Vals AI)Not measured57.2%Only Muse Spark 1.1 measured
Legal Research Bench (Vals AI)Not measured38.0%Only Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)Not measured56.4%Only Muse Spark 1.1 measured
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
TheAgentCompany8.6%Not measuredOnly GPT-4o (2024-11-20) measured
Vending-Bench 2Not measured$6,520Only Muse Spark 1.1 measured
MCP AtlasNot measured88.1%Only Muse Spark 1.1 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for GPT-4o (2024-11-20) and Muse Spark 1.1
BenchmarkGPT-4o (2024-11-20)Muse Spark 1.1Leader
GPQA Diamond53.8%91.2%Muse Spark 1.1
MMMU Pro (Vals AI)62.2%86.6%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)Not measured89.8%Only Muse Spark 1.1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured46.2%Only Muse Spark 1.1 measured
GPQA Diamond (Epoch AI run)47.9%Not measuredOnly GPT-4o (2024-11-20) measured
Chess puzzlesNot measured34.0%Only Muse Spark 1.1 measured
VPCT40.0%Not measuredOnly GPT-4o (2024-11-20) measured
LMArena Text: hard promptsNot measured1485Only Muse Spark 1.1 measured
LMArena Text: expertNot measured1478Only Muse Spark 1.1 measured
LMArena Text: hard prompts in EnglishNot measured1480Only Muse Spark 1.1 measured
LMArena Vision: diagramsNot measured1305Only Muse Spark 1.1 measured
LMArena Vision: homeworkNot measured1287Only Muse Spark 1.1 measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Math benchmarks for GPT-4o (2024-11-20) and Muse Spark 1.1
BenchmarkGPT-4o (2024-11-20)Muse Spark 1.1Leader
AIME11.9%Not measuredOnly GPT-4o (2024-11-20) measured
MATH 500 (Vals AI)74.0%Not measuredOnly GPT-4o (2024-11-20) measured
MGSM (Vals AI)90.4%Not measuredOnly GPT-4o (2024-11-20) measured
OTIS Mock AIME6.3%Not measuredOnly GPT-4o (2024-11-20) measured
ProofBenchNot measured39.0%Only Muse Spark 1.1 measured
MATH level 549.8%Not measuredOnly GPT-4o (2024-11-20) measured
LMArena Text: mathNot measured1481Only Muse Spark 1.1 measured
LMArena Text: mathematical workNot measured1485Only Muse Spark 1.1 measured
MathArenaNot measured42.5%Only Muse Spark 1.1 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4o (2024-11-20) and Muse Spark 1.1
BenchmarkGPT-4o (2024-11-20)Muse Spark 1.1Leader
MMLU Pro72.6%88.7%Muse Spark 1.1
LegalBench (Vals AI)82.2%85.0%Muse Spark 1.1
CaseLaw (Vals AI)59.7%Not measuredOnly GPT-4o (2024-11-20) measured
CorpFin (Vals AI)45.9%71.3%Muse Spark 1.1
TaxEval (Vals AI)74.5%79.7%Muse Spark 1.1
MortgageTax (Vals AI)57.4%66.1%Muse Spark 1.1
SimpleQA VerifiedNot measured57.8%Only Muse Spark 1.1 measured
GeoBench71.0%Not measuredOnly GPT-4o (2024-11-20) measured
LMArena Text: scienceNot measured1483Only Muse Spark 1.1 measured
LMArena Text: medicine and healthcareNot measured1480Only Muse Spark 1.1 measured
LMArena Text: legal and governmentNot measured1482Only Muse Spark 1.1 measured
LMArena Text: business and financeNot measured1470Only Muse Spark 1.1 measured
PRBench FinanceNot measured55.0%Only Muse Spark 1.1 measured
PRBench LegalNot measured57.0%Only Muse Spark 1.1 measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-4o (2024-11-20) and Muse Spark 1.1
BenchmarkGPT-4o (2024-11-20)Muse Spark 1.1Leader
Design Arena: websitesNot measured1270Only Muse Spark 1.1 measured
Design Arena: UI componentsNot measured1286Only Muse Spark 1.1 measured
Design Arena: game devNot measured1269Only Muse Spark 1.1 measured
Design Arena: data vizNot measured1267Only Muse Spark 1.1 measured
Design Arena: 3DNot measured1259Only Muse Spark 1.1 measured
Design Arena: all code categoriesNot measured1276Only Muse Spark 1.1 measured
Design Arena: SVGNot measured1233Only Muse Spark 1.1 measured
Design Arena: ASCII artNot measured1267Only Muse Spark 1.1 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index35 boards, none shared
General benchmarks for GPT-4o (2024-11-20) and Muse Spark 1.1
BenchmarkGPT-4o (2024-11-20)Muse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)Not measured45.6%Only Muse Spark 1.1 measured
MedScribe (Vals AI)Not measured88.9%Only Muse Spark 1.1 measured
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
Long context reasoning (AA-LCR)Not measured77.7%Only Muse Spark 1.1 measured
DTBenchNot measured94.4%Only Muse Spark 1.1 measured
LMCANot measured49.9%Only Muse Spark 1.1 measured
Creative writing (Lech Mazur)81.8%Not measuredOnly GPT-4o (2024-11-20) measured
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
LMArena TextNot measured1478Only Muse Spark 1.1 measured
LMArena Text: instruction followingNot measured1456Only Muse Spark 1.1 measured
LMArena Text: creative writingNot measured1435Only Muse Spark 1.1 measured
LMArena VisionNot measured1293Only Muse Spark 1.1 measured
LMArena Text: EnglishNot measured1478Only Muse Spark 1.1 measured
LMArena Text: non-EnglishNot measured1471Only Muse Spark 1.1 measured
LMArena Text: ChineseNot measured1515Only Muse Spark 1.1 measured
LMArena Text: GermanNot measured1469Only Muse Spark 1.1 measured
LMArena Text: JapaneseNot measured1450Only Muse Spark 1.1 measured
LMArena Text: KoreanNot measured1457Only Muse Spark 1.1 measured
LMArena Text: FrenchNot measured1494Only Muse Spark 1.1 measured
LMArena Text: SpanishNot measured1462Only Muse Spark 1.1 measured
LMArena Text: RussianNot measured1481Only Muse Spark 1.1 measured
LMArena Text: PolishNot measured1497Only Muse Spark 1.1 measured
LMArena Text: multi-turnNot measured1484Only Muse Spark 1.1 measured
LMArena Text: longer queriesNot measured1461Only Muse Spark 1.1 measured
LMArena Text: writing and languageNot measured1447Only Muse Spark 1.1 measured
LMArena Text: entertainment and mediaNot measured1437Only Muse Spark 1.1 measured
LMArena Vision: EnglishNot measured1292Only Muse Spark 1.1 measured
LMArena Vision: ChineseNot measured1348Only Muse Spark 1.1 measured
LMArena Vision: reading textNot measured1301Only Muse Spark 1.1 measured
LMArena Vision: humorNot measured1288Only Muse Spark 1.1 measured
LMArena Vision: creative writingNot measured1253Only Muse Spark 1.1 measured
LMArena DocumentNot measured1465Only Muse Spark 1.1 measured
MultiChallengeNot measured75.3%Only Muse Spark 1.1 measured
EQ-Bench 4Not measured1260Only Muse Spark 1.1 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-11-20) and Muse Spark 1.1
BenchmarkGPT-4o (2024-11-20)Muse Spark 1.1Leader
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

GPT-4o (2024-11-20)$0.0075Fits in one request
Muse Spark 1.1$0.0034Fits in one request

Muse Spark 1.1 costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-11-20)$0.155Fits in one request
Muse Spark 1.1$0.075Fits in one request

Muse Spark 1.1 costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-11-20)$0.600Exceeds the context window
Muse Spark 1.1$0.292Fits in one request

Muse Spark 1.1 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 GPT-4o (2024-11-20) and Muse Spark 1.1
SpecificationOpenAI GPT-4o (2024-11-20)Meta Muse Spark 1.1
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedNovember 20, 2024July 16, 2026
Context window128K1.05M
Input $/Mtok$2.50$1.25
Output $/Mtok$10.00$4.25
Coding indexNot benchmarked70.3
Independent measurements behind it03
Cost per solved taskNot computable$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-11-20) better than Muse Spark 1.1 for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; GPT-4o (2024-11-20) has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-4o (2024-11-20) or Muse Spark 1.1?

GPT-4o (2024-11-20) costs $2.50 per million input tokens and $10.00 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, GPT-4o (2024-11-20) or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4o (2024-11-20) vs Muse Spark 1.1 comparison based on?

9 benchmarks have a result for both models as of October 23, 2026. GPT-4o (2024-11-20)'s coding index rests on 0 independent benchmarks and Muse Spark 1.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next