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GPT-5.4 vs Muse Spark 1.3

GPT-5.4 leads Muse Spark 1.3 on coding, 64.4 to 57.4 on the Vibe Coding Index, and Muse Spark 1.3 costs 3.5x less per output token ($4.25 vs $15.00 per million). Updated October 22, 2026; 71 benchmarks have a result for both.

Replace GPT-5.4 Replace Muse Spark 1.3
GPT-5.4OpenAI
Coding
64.4
Overall
69.6
Output $/M
$15.00
10
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
60
vs boards won of 71 shared, 1 tied

GPT-5.4 or Muse Spark 1.3: which to pick

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 57.4 for Muse Spark 1.3, though on 3 benchmarks against 4.

Pick Muse Spark 1.3 for output tokens 3.5x cheaper ($4.25 vs $15.00 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Model AGPT-5.4OpenAI64.4/1003 independent benchmarks$1.02 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
71
GPT-5.4 only
39
Muse Spark 1.3 only
21
Like-for-like categories
8 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 64.4 from 3 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Web design, 20.2 points apart on average over 8 shared benchmarks.
Widest single gap
Design Arena: 3D: GPT-5.4 1065 against Muse Spark 1.3 1358, 36.6 points apart on a 0 to 100 scale.
Output price
GPT-5.4 $15.00 against Muse Spark 1.3 $4.25 per million output tokens, 3.5x apart.
Context window
GPT-5.4 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-5.4BarsMuse Spark 1.3Ties
Coding191 tie
Intelligence11
Agentic work05
Reasoning36
Math33
Knowledge04
Web design08
General224
All shared boards10601 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index19
Coding benchmarks for GPT-5.4 and Muse Spark 1.3
BenchmarkGPT-5.4Muse Spark 1.3Leader
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDev14641659Muse Spark 1.3
AA Coding Index71.175.8Muse Spark 1.3
LiveCodeBench (Vals AI)84.1%Not measuredOnly GPT-5.4 measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly GPT-5.4 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)67.4%82.9%Muse Spark 1.3
Code migration (Vals AI)35.0%27.6%GPT-5.4
ProgramBench (Vals AI)0.5%0.5%Tie
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
SkillsBench (Vals AI)51.7%Not measuredOnly GPT-5.4 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)57.6%Not measuredOnly GPT-5.4 measured
Terminal-Bench81.8%Not measuredOnly GPT-5.4 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
GSO-Bench31.4%Not measuredOnly GPT-5.4 measured
WeirdML77.7%Not measuredOnly GPT-5.4 measured
MirrorCode15.6%Not measuredOnly GPT-5.4 measured
ALE-Bench1607.01688.3Muse Spark 1.3
LMArena Text: coding14961510Muse Spark 1.3
LMArena Text: software and IT14911511Muse Spark 1.3
LMArena WebDev: React14541672Muse Spark 1.3
LMArena WebDev: HTML14781653Muse Spark 1.3
LMArena WebDev: from an image14361640Muse Spark 1.3
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-5.4 and Muse Spark 1.3
BenchmarkGPT-5.4Muse Spark 1.3Leader
AA Intelligence Index39.048.1Muse Spark 1.3
Epoch Capabilities Index157.3157.2GPT-5.4
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for GPT-5.4 and Muse Spark 1.3
BenchmarkGPT-5.4Muse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web apps10591297Muse Spark 1.3
Design Arena: agents building full-stack apps10171295Muse Spark 1.3
Design Arena: agents building mobile apps10871218Muse Spark 1.3
Design Arena: agents building Android apps1031Not measuredOnly GPT-5.4 measured
Design Arena: agents building Godot games11351241Muse Spark 1.3
Design Arena: PowerPoint slidesNot measured1219Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1062Only 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 Telecom87.1%Not measuredOnly GPT-5.4 measured
APEX-Agents52.4%58.6%Muse Spark 1.3
METR time horizons74.3%Not measuredOnly GPT-5.4 measured
DeepResearch Bench35.1%Not measuredOnly GPT-5.4 measured
PostTrainBench19.0%Not measuredOnly GPT-5.4 measured
Vending-Bench 2$6,144Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
Reasoning benchmarks for GPT-5.4 and Muse Spark 1.3
BenchmarkGPT-5.4Muse Spark 1.3Leader
GPQA Diamond91.7%Not measuredOnly GPT-5.4 measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
MMMU Pro (Vals AI)87.5%Not measuredOnly GPT-5.4 measured
GPQA Diamond (Artificial Analysis run)92.0%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)43.7%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)93.3%Not measuredOnly GPT-5.4 measured
ARC-AGI93.7%Not measuredOnly GPT-5.4 measured
ARC-AGI-274.0%Not measuredOnly GPT-5.4 measured
Chess puzzles48.0%37.0%GPT-5.4
Mystery game puzzles37.0%25.0%GPT-5.4
EBR-bench25.4%Not measuredOnly GPT-5.4 measured
LMArena Text: hard prompts14851503Muse Spark 1.3
LMArena Text: expert15071519Muse Spark 1.3
LMArena Text: hard prompts in English14791500Muse Spark 1.3
LMArena Vision: diagrams13271330Muse Spark 1.3
LMArena Vision: homework13361296GPT-5.4
Kagi LLM Benchmark63.8%Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index33
Math benchmarks for GPT-5.4 and Muse Spark 1.3
BenchmarkGPT-5.4Muse Spark 1.3Leader
AIME96.7%Not measuredOnly GPT-5.4 measured
OTIS Mock AIME97.8%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 378.6%74.4%GPT-5.4
FrontierMath, tier 449.0%46.3%GPT-5.4
ProofBench56.0%58.0%Muse Spark 1.3
LMArena Text: math14881497Muse Spark 1.3
LMArena Text: mathematical work14971491GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5.4 and Muse Spark 1.3
BenchmarkGPT-5.4Muse Spark 1.3Leader
MMLU Pro87.5%Not measuredOnly GPT-5.4 measured
LegalBench (Vals AI)86.0%Not measuredOnly GPT-5.4 measured
CaseLaw (Vals AI)63.8%Not measuredOnly GPT-5.4 measured
CorpFin (Vals AI)65.3%Not measuredOnly GPT-5.4 measured
TaxEval (Vals AI)74.0%Not measuredOnly GPT-5.4 measured
MortgageTax (Vals AI)68.3%Not measuredOnly GPT-5.4 measured
MedQA (Vals AI)96.1%Not measuredOnly GPT-5.4 measured
MedCode (Vals AI)41.3%Not measuredOnly GPT-5.4 measured
SimpleQA Verified45.1%Not measuredOnly GPT-5.4 measured
LMArena Text: science14791507Muse Spark 1.3
LMArena Text: medicine and healthcare14581493Muse Spark 1.3
LMArena Text: legal and government14861499Muse Spark 1.3
LMArena Text: business and finance14741490Muse 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 index08
Web design benchmarks for GPT-5.4 and Muse Spark 1.3
BenchmarkGPT-5.4Muse Spark 1.3Leader
Design Arena: websites11981356Muse Spark 1.3
Design Arena: UI components12121349Muse Spark 1.3
Design Arena: game dev11941328Muse Spark 1.3
Design Arena: data viz11961343Muse Spark 1.3
Design Arena: 3D10651358Muse Spark 1.3
Design Arena: all code categories11791352Muse Spark 1.3
Design Arena: SVG11411301Muse Spark 1.3
Design Arena: ASCII art11881278Muse Spark 1.3
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index224
General benchmarks for GPT-5.4 and Muse Spark 1.3
BenchmarkGPT-5.4Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
SAGE (Vals AI)43.3%Not measuredOnly GPT-5.4 measured
MedScribe (Vals AI)77.5%Not measuredOnly GPT-5.4 measured
IFBench73.9%Not measuredOnly GPT-5.4 measured
Long context reasoning (AA-LCR)82.0%83.0%Muse Spark 1.3
DTBench94.4%96.5%Muse Spark 1.3
LMCA52.0%53.9%Muse Spark 1.3
CL-bench27.9%Not measuredOnly GPT-5.4 measured
Furniture assembly37.5%Not measuredOnly GPT-5.4 measured
CL-bench Life21.7%Not measuredOnly GPT-5.4 measured
LMArena Text14691490Muse Spark 1.3
LMArena Text: instruction following14691479Muse Spark 1.3
LMArena Text: creative writing14391462Muse Spark 1.3
LMArena Vision13031308Muse Spark 1.3
LMArena Text: English14671495Muse Spark 1.3
LMArena Text: non-English14651481Muse Spark 1.3
LMArena Text: Chinese15201532Muse Spark 1.3
LMArena Text: German14721513Muse Spark 1.3
LMArena Text: Japanese14851470GPT-5.4
LMArena Text: Korean14491490Muse Spark 1.3
LMArena Text: French14931511Muse Spark 1.3
LMArena Text: Spanish14521496Muse Spark 1.3
LMArena Text: Russian14801491Muse Spark 1.3
LMArena Text: Polish14721490Muse Spark 1.3
LMArena Text: multi-turn14821487Muse Spark 1.3
LMArena Text: longer queries14731488Muse Spark 1.3
LMArena Text: writing and language14581470Muse Spark 1.3
LMArena Text: entertainment and media14381457Muse Spark 1.3
LMArena Vision: English13011298GPT-5.4
LMArena Vision: Chinese13541384Muse Spark 1.3
LMArena Vision: reading text13121319Muse Spark 1.3
LMArena Vision: humor12841293Muse Spark 1.3
LMArena Vision: recognizing things1251Not measuredOnly GPT-5.4 measured
LMArena Vision: creative writing12831296Muse Spark 1.3
LMArena Document1471Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 and Muse Spark 1.3
BenchmarkGPT-5.4Muse 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-5.4$0.010Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Muse Spark 1.3 costs less

Repository review

50K input + 3K output tokens

GPT-5.4$0.170Fits in one request
Muse Spark 1.3$0.075Fits in one request

Muse Spark 1.3 costs less

Agent loop

200K input + 10K output tokens

GPT-5.4$0.650Fits in one request
Muse Spark 1.3$0.292Fits in one request

Muse Spark 1.3 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 and Muse Spark 1.3
SpecificationOpenAI GPT-5.4Meta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedMarch 5, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$2.50$1.25
Output $/Mtok$15.00$4.25
Coding index64.457.4
Independent measurements behind it34
Cost per solved task$1.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 better than Muse Spark 1.3 for coding?

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 57.4 for Muse Spark 1.3, though on 3 benchmarks against 4. Pick Muse Spark 1.3 for output tokens 3.5x cheaper ($4.25 vs $15.00 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, GPT-5.4 or Muse Spark 1.3?

GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GPT-5.4 only.

Which has the bigger context window, GPT-5.4 or Muse Spark 1.3?

GPT-5.4, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-5.4 vs Muse Spark 1.3 comparison based on?

71 benchmarks have a result for both models as of October 22, 2026. GPT-5.4's coding index rests on 3 independent benchmarks and Muse Spark 1.3's on 4. 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-5-4-vs-meta-muse-spark-1-3" title="GPT-5.4 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-5-4-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GPT-5.4 vs Muse Spark 1.3</a></p>