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GPT-5.4 Mini vs Muse Spark 1.2

Muse Spark 1.2 leads GPT-5.4 Mini on coding, 55.7 to 35.8 on the Vibe Coding Index, at about the same output price ($4.25 vs $4.50 per million). Updated October 22, 2026; 63 benchmarks have a result for both.

Replace GPT-5.4 Mini Replace Muse Spark 1.2
GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
1
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
61
vs boards won of 63 shared, 1 tied

GPT-5.4 Mini or Muse Spark 1.2: which to pick

Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini.

Pick GPT-5.4 Mini for work measured by SAGE (Vals AI), where it leads.

Model AGPT-5.4 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved taskModel BMuse Spark 1.2Meta55.7/1005 independent benchmarks$0.64 per solved task
Shared results
63
GPT-5.4 Mini only
26
Muse Spark 1.2 only
34
Like-for-like categories
7 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-5.4 Mini 35.8 from 5 benchmarks, Muse Spark 1.2 55.7 from 5 benchmarks.
Widest category
Agentic work, 21.5 points apart on average over 5 shared benchmarks.
Widest single gap
Legal Research Bench (Vals AI): GPT-5.4 Mini 12.5% against Muse Spark 1.2 43.8%, 31.3 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against Muse Spark 1.2 $4.25 per million output tokens, 1.1x apart.
Context window
GPT-5.4 Mini takes 400K tokens, Muse Spark 1.2 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 1.2Ties
Coding0131 tie
Intelligence02
Agentic work05
Reasoning08
Math03
Knowledge09
General121
All shared boards1611 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index013
Coding benchmarks for GPT-5.4 Mini and Muse Spark 1.2
BenchmarkGPT-5.4 MiniMuse Spark 1.2Leader
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev13971534Muse Spark 1.2
AA Coding Index56.172.2Muse Spark 1.2
LiveCodeBench (Vals AI)81.5%Not measuredOnly GPT-5.4 Mini measured
SWE-bench Verified (Vals AI)73.0%86.6%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)2.5%6.1%Muse Spark 1.2
Vibe Code Bench (Vals AI)48.0%79.1%Muse Spark 1.2
Code migration (Vals AI)12.9%29.9%Muse Spark 1.2
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.2
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)54.7%69.7%Muse Spark 1.2
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
SciCode52.1%57.4%Muse Spark 1.2
Terminal-Bench Hard (Artificial Analysis run)52.3%Not measuredOnly GPT-5.4 Mini measured
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
WeirdML60.3%60.3%Tie
ALE-Bench1188.6Not measuredOnly GPT-5.4 Mini measured
LMArena Text: coding14381505Muse Spark 1.2
LMArena Text: software and IT14361505Muse Spark 1.2
LMArena WebDev: React13861526Muse Spark 1.2
LMArena WebDev: HTML14191543Muse Spark 1.2
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.4 Mini and Muse Spark 1.2
BenchmarkGPT-5.4 MiniMuse Spark 1.2Leader
AA Intelligence Index24.139.6Muse Spark 1.2
Epoch Capabilities Index148.7155.1Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for GPT-5.4 Mini and Muse Spark 1.2
BenchmarkGPT-5.4 MiniMuse Spark 1.2Leader
AA Agentic Index17.943.2Muse Spark 1.2
Design Arena: agents building web appsNot measured1221Only Muse Spark 1.2 measured
Design Arena: agents building full-stack appsNot measured1210Only Muse Spark 1.2 measured
Design Arena: agents building mobile appsNot measured1181Only Muse Spark 1.2 measured
Design Arena: agents building Android appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1085Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1172Only Muse Spark 1.2 measured
LiveBench researchNot measured67.7%Only Muse Spark 1.2 measured
LiveBench browserNot measured36.0%Only Muse Spark 1.2 measured
LiveBench long agenticNot measured21.3%Only Muse Spark 1.2 measured
SREBench (Vals AI)Not measured0.0%Only Muse Spark 1.2 measured
Finance Agent (Vals AI)45.4%60.6%Muse Spark 1.2
Tax Agent Bench (Vals AI)8.8%32.8%Muse Spark 1.2
Legal Research Bench (Vals AI)12.5%43.8%Muse Spark 1.2
Excel Modeling Benchmark (Vals AI)45.4%57.0%Muse Spark 1.2
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
τ²-Bench Telecom83.3%Not measuredOnly GPT-5.4 Mini measured
APEX-AgentsNot measured45.4%Only Muse Spark 1.2 measured
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for GPT-5.4 Mini and Muse Spark 1.2
BenchmarkGPT-5.4 MiniMuse Spark 1.2Leader
GPQA Diamond83.1%Not measuredOnly GPT-5.4 Mini measured
LiveBench reasoningNot measured90.0%Only Muse Spark 1.2 measured
MMMU Pro (Vals AI)79.3%86.1%Muse Spark 1.2
GPQA Diamond (Artificial Analysis run)87.5%90.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)28.1%45.5%Muse Spark 1.2
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
SimpleBenchNot measured74.5%Only Muse Spark 1.2 measured
Chess puzzles23.0%27.0%Muse Spark 1.2
Mystery game puzzles11.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: hard prompts14241489Muse Spark 1.2
LMArena Text: expert14351475Muse Spark 1.2
LMArena Text: hard prompts in English14201487Muse Spark 1.2
LMArena Vision: diagrams12661317Muse Spark 1.2
LMArena Vision: homework1285Not measuredOnly GPT-5.4 Mini measured
Kagi LLM Benchmark37.9%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-5.4 Mini and Muse Spark 1.2
BenchmarkGPT-5.4 MiniMuse Spark 1.2Leader
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%43.0%Muse Spark 1.2
LMArena Text: math14181484Muse Spark 1.2
LMArena Text: mathematical work14291480Muse 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 index09
Knowledge benchmarks for GPT-5.4 Mini and Muse Spark 1.2
BenchmarkGPT-5.4 MiniMuse Spark 1.2Leader
MMLU Pro84.5%88.3%Muse Spark 1.2
LegalBench (Vals AI)Not measured85.3%Only Muse Spark 1.2 measured
CaseLaw (Vals AI)51.7%Not measuredOnly GPT-5.4 Mini measured
CorpFin (Vals AI)60.9%70.9%Muse Spark 1.2
TaxEval (Vals AI)71.2%80.4%Muse Spark 1.2
MortgageTax (Vals AI)63.5%65.4%Muse Spark 1.2
MedCode (Vals AI)Not measured49.4%Only Muse Spark 1.2 measured
SimpleQA Verified29.4%60.3%Muse Spark 1.2
LMArena Text: science14171500Muse Spark 1.2
LMArena Text: medicine and healthcare13951496Muse Spark 1.2
LMArena Text: legal and government14141517Muse Spark 1.2
LMArena Text: business and finance14181484Muse Spark 1.2
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for GPT-5.4 Mini and Muse Spark 1.2
BenchmarkGPT-5.4 MiniMuse Spark 1.2Leader
Design Arena: websitesNot measured1312Only Muse Spark 1.2 measured
Design Arena: UI componentsNot measured1298Only Muse Spark 1.2 measured
Design Arena: game devNot measured1301Only Muse Spark 1.2 measured
Design Arena: data vizNot measured1334Only Muse Spark 1.2 measured
Design Arena: 3DNot measured1301Only Muse Spark 1.2 measured
Design Arena: all code categoriesNot measured1312Only Muse Spark 1.2 measured
Design Arena: SVGNot measured1284Only Muse Spark 1.2 measured
Design Arena: ASCII artNot measured1284Only Muse Spark 1.2 measured
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for GPT-5.4 Mini and Muse Spark 1.2
BenchmarkGPT-5.4 MiniMuse Spark 1.2Leader
LiveBench data analysisNot measured76.5%Only Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)Not measured68.5%Only Muse Spark 1.2 measured
SAGE (Vals AI)50.8%47.7%GPT-5.4 Mini
MedScribe (Vals AI)Not measured90.1%Only Muse Spark 1.2 measured
Vals Multimodal Index54.2%69.8%Muse Spark 1.2
IFBench73.3%Not measuredOnly GPT-5.4 Mini measured
Long context reasoning (AA-LCR)77.0%79.0%Muse Spark 1.2
DTBench80.0%94.7%Muse Spark 1.2
LMCA40.8%48.4%Muse Spark 1.2
LMArena Text14121482Muse Spark 1.2
LMArena Text: instruction following14051462Muse Spark 1.2
LMArena Text: creative writing13701436Muse Spark 1.2
LMArena Vision12451304Muse Spark 1.2
LMArena Text: English14121483Muse Spark 1.2
LMArena Text: non-English14051476Muse Spark 1.2
LMArena Text: Chinese14461509Muse Spark 1.2
LMArena Text: German1408Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Japanese1375Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Korean13701462Muse Spark 1.2
LMArena Text: French14411495Muse Spark 1.2
LMArena Text: Spanish14051484Muse Spark 1.2
LMArena Text: Russian14171483Muse Spark 1.2
LMArena Text: Polish1415Not measuredOnly GPT-5.4 Mini measured
LMArena Text: multi-turn14291502Muse Spark 1.2
LMArena Text: longer queries14081473Muse Spark 1.2
LMArena Text: writing and language13931453Muse Spark 1.2
LMArena Text: entertainment and media13731443Muse Spark 1.2
LMArena Vision: English12441291Muse Spark 1.2
LMArena Vision: Chinese1286Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: reading text12531313Muse Spark 1.2
LMArena Vision: humor1235Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: creative writing1222Not measuredOnly GPT-5.4 Mini 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-5.4 Mini and Muse Spark 1.2
BenchmarkGPT-5.4 MiniMuse Spark 1.2Leader
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 1.2$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 1.2$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 1.2$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 1.2
SpecificationOpenAI GPT-5.4 MiniMeta Muse Spark 1.2
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026August 5, 2026
Context window400K1.05M
Input $/Mtok$0.75$1.25
Output $/Mtok$4.50$4.25
Coding index35.855.7
Independent measurements behind it55
Cost per solved task$0.70$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Mini better than Muse Spark 1.2 for coding?

Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini. Pick GPT-5.4 Mini for work measured by SAGE (Vals AI), where it leads.

Which is cheaper, GPT-5.4 Mini or Muse Spark 1.2?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and Muse Spark 1.2 $0.64.

Which has the bigger context window, GPT-5.4 Mini or Muse Spark 1.2?

Muse Spark 1.2, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5.4 Mini vs Muse Spark 1.2 comparison based on?

63 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 independent benchmarks and Muse Spark 1.2's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-4-mini-vs-meta-muse-spark-1-2">LLMBenchmark.ai, GPT-5.4 Mini vs Muse Spark 1.2</a></p>