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GPT-4.1 Mini vs Muse Spark 1.3

Updated October 21, 2026. 54 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4.1 Mini Replace Muse Spark 1.3
GPT-4.1 MiniOpenAI
Coding
28.5
Overall
10.2
Output $/M
$1.60
0
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
54
vs boards won of 54 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 28.5 for GPT-4.1 Mini.

Pick GPT-4.1 Mini when output tokens cost 2.7x less.

Model AGPT-4.1 MiniOpenAI28.5/1002 independent benchmarks$1.818 per solved taskModel BMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved task
Shared results
54
GPT-4.1 Mini only
30
Muse Spark 1.3 only
38
Like-for-like categories
7 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
GPT-4.1 Mini 28.5 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Web design, 45.8 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: GPT-4.1 Mini 6.7% against Muse Spark 1.3 74.4%, 67.7 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Muse Spark 1.3 $4.25 per million output tokens, 2.7x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Muse Spark 1.3 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-4.1 MiniBarsMuse Spark 1.3Ties
Coding03
Intelligence02
Reasoning09
Math04
Knowledge04
Web design06
General026
All shared boards054
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4.1 Mini and Muse Spark 1.3
BenchmarkGPT-4.1 MiniMuse Spark 1.3Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDevNot measured1659Only Muse Spark 1.3 measured
AA Coding Index20.275.8Muse Spark 1.3
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)Not measured82.9%Only Muse Spark 1.3 measured
Code migration (Vals AI)Not measured27.6%Only Muse Spark 1.3 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.3 measured
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
LiveCodeBench (Artificial Analysis run)48.3%Not measuredOnly GPT-4.1 Mini measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)7.6%Not measuredOnly GPT-4.1 Mini measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding13671510Muse Spark 1.3
LMArena Text: software and IT13601511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTMLNot measured1653Only Muse Spark 1.3 measured
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Mini and Muse Spark 1.3
BenchmarkGPT-4.1 MiniMuse Spark 1.3Leader
AA Intelligence Index10.248.1Muse Spark 1.3
Epoch Capabilities Index134.9157.2Muse Spark 1.3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for GPT-4.1 Mini and Muse Spark 1.3
BenchmarkGPT-4.1 MiniMuse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web appsNot measured1297Only Muse Spark 1.3 measured
Design Arena: agents building full-stack appsNot measured1295Only Muse Spark 1.3 measured
Design Arena: agents building mobile appsNot measured1217Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1244Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1048Only Muse Spark 1.3 measured
LiveBench researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)Not measured40.9%Only Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
τ²-Bench Telecom52.9%Not measuredOnly GPT-4.1 Mini measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for GPT-4.1 Mini and Muse Spark 1.3
BenchmarkGPT-4.1 MiniMuse Spark 1.3Leader
GPQA Diamond67.9%Not measuredOnly GPT-4.1 Mini measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)5.0%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)65.8%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
Chess puzzles1.0%37.0%Muse Spark 1.3
Mystery game puzzles7.0%25.0%Muse Spark 1.3
LMArena Text: hard prompts13491503Muse Spark 1.3
LMArena Text: expert13381519Muse Spark 1.3
LMArena Text: hard prompts in English13621500Muse Spark 1.3
LMArena Vision: diagrams11821330Muse Spark 1.3
LMArena Vision: homework12141296Muse Spark 1.3
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4.1 Mini and Muse Spark 1.3
BenchmarkGPT-4.1 MiniMuse Spark 1.3Leader
AIME49.4%Not measuredOnly GPT-4.1 Mini measured
MATH 500 (Vals AI)88.0%Not measuredOnly GPT-4.1 Mini measured
MGSM (Vals AI)87.8%Not measuredOnly GPT-4.1 Mini measured
AA Math Index46.3Not measuredOnly GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)46.3%Not measuredOnly GPT-4.1 Mini measured
OTIS Mock AIME44.7%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 36.7%74.4%Muse Spark 1.3
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431497Muse Spark 1.3
LMArena Text: mathematical work13471491Muse Spark 1.3
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4.1 Mini and Muse Spark 1.3
BenchmarkGPT-4.1 MiniMuse Spark 1.3Leader
MMLU Pro77.2%Not measuredOnly GPT-4.1 Mini measured
LegalBench (Vals AI)78.0%Not measuredOnly GPT-4.1 Mini measured
CorpFin (Vals AI)57.9%Not measuredOnly GPT-4.1 Mini measured
TaxEval (Vals AI)71.9%Not measuredOnly GPT-4.1 Mini measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)78.1%Not measuredOnly GPT-4.1 Mini measured
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13281507Muse Spark 1.3
LMArena Text: medicine and healthcare13241493Muse Spark 1.3
LMArena Text: legal and government13431499Muse Spark 1.3
LMArena Text: business and finance13221490Muse Spark 1.3
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 Mini and Muse Spark 1.3
BenchmarkGPT-4.1 MiniMuse Spark 1.3Leader
Design Arena: websites9971356Muse Spark 1.3
Design Arena: UI components9611352Muse Spark 1.3
Design Arena: game dev10711329Muse Spark 1.3
Design Arena: data viz10341343Muse Spark 1.3
Design Arena: 3D8371359Muse Spark 1.3
Design Arena: all code categories9941353Muse Spark 1.3
Design Arena: SVGNot measured1300Only Muse Spark 1.3 measured
Design Arena: ASCII artNot measured1280Only Muse Spark 1.3 measured
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
General benchmarks for GPT-4.1 Mini and Muse Spark 1.3
BenchmarkGPT-4.1 MiniMuse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
IFBench38.3%Not measuredOnly GPT-4.1 Mini measured
Long context reasoning (AA-LCR)44.0%83.0%Muse Spark 1.3
DTBench68.8%96.5%Muse Spark 1.3
LMCA21.1%53.9%Muse Spark 1.3
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
LMArena Text13411490Muse Spark 1.3
LMArena Text: instruction following13331479Muse Spark 1.3
LMArena Text: creative writing12991462Muse Spark 1.3
LMArena Vision11811308Muse Spark 1.3
LMArena Text: English13561495Muse Spark 1.3
LMArena Text: non-English13181481Muse Spark 1.3
LMArena Text: Chinese13291532Muse Spark 1.3
LMArena Text: German13501513Muse Spark 1.3
LMArena Text: Japanese12901470Muse Spark 1.3
LMArena Text: Korean12981490Muse Spark 1.3
LMArena Text: French13581511Muse Spark 1.3
LMArena Text: Spanish13191496Muse Spark 1.3
LMArena Text: Russian13241491Muse Spark 1.3
LMArena Text: Polish13261490Muse Spark 1.3
LMArena Text: multi-turn13541487Muse Spark 1.3
LMArena Text: longer queries13441488Muse Spark 1.3
LMArena Text: writing and language13191470Muse Spark 1.3
LMArena Text: entertainment and media13001457Muse Spark 1.3
LMArena Vision: English11911298Muse Spark 1.3
LMArena Vision: Chinese11861384Muse Spark 1.3
LMArena Vision: reading text11881319Muse Spark 1.3
LMArena Vision: humor11821293Muse Spark 1.3
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing11821296Muse Spark 1.3
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Mini and Muse Spark 1.3
BenchmarkGPT-4.1 MiniMuse Spark 1.3Leader
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-4.1 Mini$0.0012Fits in one request
Muse Spark 1.3$0.0034Fits in one request

GPT-4.1 Mini costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Muse Spark 1.3$0.075Fits in one request

GPT-4.1 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
Muse Spark 1.3$0.292Fits in one request

GPT-4.1 Mini 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-4.1 Mini and Muse Spark 1.3
SpecificationOpenAI GPT-4.1 MiniMeta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025September 2, 2026
Context window1.05M1.05M
Input $/Mtok$0.40$1.25
Output $/Mtok$1.60$4.25
Coding index28.579.7
Independent measurements behind it22
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Muse Spark 1.3 for coding?

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 28.5 for GPT-4.1 Mini. Pick GPT-4.1 Mini when output tokens cost 2.7x less.

Which is cheaper, GPT-4.1 Mini or Muse Spark 1.3?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GPT-4.1 Mini or Muse Spark 1.3?

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

How many benchmarks is the GPT-4.1 Mini vs Muse Spark 1.3 comparison based on?

54 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Mini's coding index rests on 2 independent benchmarks and Muse Spark 1.3's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gpt-4-1-mini-vs-meta-muse-spark-1-3" title="GPT-4.1 Mini vs Muse Spark 1.3, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-4-1-mini-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GPT-4.1 Mini vs Muse Spark 1.3</a></p>