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GPT-5.4 Mini vs Muse Spark 1.1

Updated October 21, 2026. 69 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GPT-5.4 MiniOpenAI
Coding
28.2
Overall
24.1
Output $/M
$4.50
1
Muse Spark 1.1Meta
Coding
48.9
Overall
33.7
Output $/M
$4.25
67
vs boards won of 69 shared, 1 tied

Decision reading

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 28.2 for GPT-5.4 Mini.

Pick GPT-5.4 Mini when the benchmark that matters is SAGE (Vals AI), where it leads.

Shared results
69
GPT-5.4 Mini only
19
Muse Spark 1.1 only
27
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-5.4 Mini 28.2 from 1 benchmark, Muse Spark 1.1 48.9 from 1 benchmark.
Widest category
Agentic work, 14.0 points apart on average over 4 shared benchmarks.
Widest single gap
SimpleQA Verified: GPT-5.4 Mini 29.4% against Muse Spark 1.1 57.8%, 28.4 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against Muse Spark 1.1 $4.25 per million output tokens, 1.1x apart.
Context window
GPT-5.4 Mini takes 400K 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-5.4 MiniBarsMuse Spark 1.1Ties
Coding0121 tie
Intelligence02
Agentic work04
Reasoning010
Math03
Knowledge09
General127
All shared boards1671 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index012
Coding benchmarks for GPT-5.4 Mini and Muse Spark 1.1
BenchmarkGPT-5.4 MiniMuse Spark 1.1Leader
LMArena WebDev13971542Muse Spark 1.1
AA Coding Index56.171.3Muse Spark 1.1
LiveCodeBench (Vals AI)81.5%85.9%Muse Spark 1.1
SWE-bench Verified (Vals AI)73.0%82.0%Muse Spark 1.1
Terminal-Bench 4 (Vals AI)2.5%Not measuredOnly GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)48.0%72.2%Muse Spark 1.1
Code migration (Vals AI)12.9%31.1%Muse Spark 1.1
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)54.7%69.3%Muse Spark 1.1
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
SciCode52.1%58.8%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)52.3%Not measuredOnly GPT-5.4 Mini measured
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%Not measuredOnly GPT-5.4 Mini measured
ALE-Bench1188.6Not measuredOnly GPT-5.4 Mini measured
LMArena Text: coding14381498Muse Spark 1.1
LMArena Text: software and IT14361498Muse Spark 1.1
LMArena WebDev: React13861532Muse Spark 1.1
LMArena WebDev: HTML14191540Muse Spark 1.1
LMArena WebDev: from an imageNot measured1540Only Muse Spark 1.1 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.4 Mini and Muse Spark 1.1
BenchmarkGPT-5.4 MiniMuse Spark 1.1Leader
AA Intelligence Index24.133.7Muse Spark 1.1
Epoch Capabilities Index148.7154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for GPT-5.4 Mini and Muse Spark 1.1
BenchmarkGPT-5.4 MiniMuse Spark 1.1Leader
AA Agentic Index17.925.8Muse Spark 1.1
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 measured1177Only Muse Spark 1.1 measured
Design Arena: agents building Android appsNot measured1184Only 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 measured1194Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1156Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured974Only Muse Spark 1.1 measured
Finance Agent (Vals AI)45.4%57.2%Muse Spark 1.1
Tax Agent Bench (Vals AI)8.8%Not measuredOnly GPT-5.4 Mini measured
Legal Research Bench (Vals AI)12.5%38.0%Muse Spark 1.1
Excel Modeling Benchmark (Vals AI)45.4%56.4%Muse Spark 1.1
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom83.3%Not measuredOnly GPT-5.4 Mini measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Vending-Bench 2Not measured$6,520Only Muse Spark 1.1 measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index010
Reasoning benchmarks for GPT-5.4 Mini and Muse Spark 1.1
BenchmarkGPT-5.4 MiniMuse Spark 1.1Leader
GPQA Diamond83.1%91.2%Muse Spark 1.1
MMMU Pro (Vals AI)79.3%86.6%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)87.5%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)28.1%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)86.9%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI63.7%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI-218.9%Not measuredOnly GPT-5.4 Mini measured
Chess puzzles23.0%34.0%Muse Spark 1.1
Mystery game puzzles11.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: hard prompts14241485Muse Spark 1.1
LMArena Text: expert14351478Muse Spark 1.1
LMArena Text: hard prompts in English14201480Muse Spark 1.1
LMArena Vision: diagrams12661305Muse Spark 1.1
LMArena Vision: homework12851287Muse Spark 1.1
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-5.4 Mini and Muse Spark 1.1
BenchmarkGPT-5.4 MiniMuse Spark 1.1Leader
AIME95.6%Not measuredOnly GPT-5.4 Mini measured
OTIS Mock AIME88.9%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tiers 1 to 351.2%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tier 49.8%Not measuredOnly GPT-5.4 Mini measured
ProofBench21.0%39.0%Muse Spark 1.1
LMArena Text: math14181482Muse Spark 1.1
LMArena Text: mathematical work14291487Muse 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 index09
Knowledge benchmarks for GPT-5.4 Mini and Muse Spark 1.1
BenchmarkGPT-5.4 MiniMuse Spark 1.1Leader
MMLU Pro84.5%88.7%Muse Spark 1.1
LegalBench (Vals AI)Not measured85.0%Only Muse Spark 1.1 measured
CaseLaw (Vals AI)51.7%Not measuredOnly GPT-5.4 Mini measured
CorpFin (Vals AI)60.9%71.3%Muse Spark 1.1
TaxEval (Vals AI)71.2%79.7%Muse Spark 1.1
MortgageTax (Vals AI)63.5%66.1%Muse Spark 1.1
SimpleQA Verified29.4%57.8%Muse Spark 1.1
LMArena Text: science14171484Muse Spark 1.1
LMArena Text: medicine and healthcare13951479Muse Spark 1.1
LMArena Text: legal and government14141481Muse Spark 1.1
LMArena Text: business and finance14181470Muse Spark 1.1
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-5.4 Mini and Muse Spark 1.1
BenchmarkGPT-5.4 MiniMuse Spark 1.1Leader
Design Arena: websitesNot measured1270Only Muse Spark 1.1 measured
Design Arena: UI componentsNot measured1290Only Muse Spark 1.1 measured
Design Arena: game devNot measured1269Only Muse Spark 1.1 measured
Design Arena: data vizNot measured1268Only Muse Spark 1.1 measured
Design Arena: 3DNot measured1260Only Muse Spark 1.1 measured
Design Arena: all code categoriesNot measured1276Only Muse Spark 1.1 measured
Design Arena: SVGNot measured1234Only Muse Spark 1.1 measured
Design Arena: ASCII artNot measured1270Only 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 index127
General benchmarks for GPT-5.4 Mini and Muse Spark 1.1
BenchmarkGPT-5.4 MiniMuse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)50.8%45.6%GPT-5.4 Mini
MedScribe (Vals AI)Not measured88.9%Only Muse Spark 1.1 measured
Vals Multimodal Index54.2%66.7%Muse Spark 1.1
IFBench73.3%Not measuredOnly GPT-5.4 Mini measured
Long context reasoning (AA-LCR)77.0%77.7%Muse Spark 1.1
DTBench80.0%94.4%Muse Spark 1.1
LMCA40.8%49.9%Muse Spark 1.1
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
LMArena Text14121478Muse Spark 1.1
LMArena Text: instruction following14051457Muse Spark 1.1
LMArena Text: creative writing13701435Muse Spark 1.1
LMArena Vision12451293Muse Spark 1.1
LMArena Text: English14121478Muse Spark 1.1
LMArena Text: non-English14051471Muse Spark 1.1
LMArena Text: Chinese14461515Muse Spark 1.1
LMArena Text: German14081469Muse Spark 1.1
LMArena Text: Japanese13751450Muse Spark 1.1
LMArena Text: Korean13701459Muse Spark 1.1
LMArena Text: French14411492Muse Spark 1.1
LMArena Text: Spanish14051464Muse Spark 1.1
LMArena Text: Russian14171482Muse Spark 1.1
LMArena Text: Polish14151499Muse Spark 1.1
LMArena Text: multi-turn14291484Muse Spark 1.1
LMArena Text: longer queries14081462Muse Spark 1.1
LMArena Text: writing and language13931448Muse Spark 1.1
LMArena Text: entertainment and media13731438Muse Spark 1.1
LMArena Vision: English12441292Muse Spark 1.1
LMArena Vision: Chinese12861348Muse Spark 1.1
LMArena Vision: reading text12531301Muse Spark 1.1
LMArena Vision: humor12351288Muse Spark 1.1
LMArena Vision: recognizing things1218Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: creative writing12221253Muse Spark 1.1
LMArena DocumentNot measured1465Only 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 GPT-5.4 Mini and Muse Spark 1.1
BenchmarkGPT-5.4 MiniMuse 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-5.4 Mini$0.0030Fits in one request
Muse Spark 1.1$0.0034Fits in one request

GPT-5.4 Mini costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
Muse Spark 1.1$0.075Fits in one request

GPT-5.4 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request
Muse Spark 1.1$0.292Fits in one request

GPT-5.4 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-5.4 Mini and Muse Spark 1.1
SpecificationOpenAI GPT-5.4 MiniMeta Muse Spark 1.1
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026July 16, 2026
Context window400K1.05M
Input $/Mtok$0.75$1.25
Output $/Mtok$4.50$4.25
Coding index28.248.9
Independent measurements behind it11
Cost per solved task$0.70$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Mini better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 28.2 for GPT-5.4 Mini. Pick GPT-5.4 Mini when the benchmark that matters is SAGE (Vals AI), where it leads.

Which is cheaper, GPT-5.4 Mini or Muse Spark 1.1?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and Muse Spark 1.1 $0.43.

Which has the bigger context window, GPT-5.4 Mini or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5.4 Mini vs Muse Spark 1.1 comparison based on?

69 benchmarks have a result for both models as of October 21, 2026. GPT-5.4 Mini's coding index rests on 1 independent benchmark and Muse Spark 1.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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