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GPT-5.4 Nano vs Muse Spark 1.3

Muse Spark 1.3 leads GPT-5.4 Nano on coding, 57.4 to 44.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 3.4x less per output token ($1.25 vs $4.25 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Muse Spark 1.3
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
1
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
59
vs boards won of 60 shared

GPT-5.4 Nano or Muse Spark 1.3: which to pick

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano.

Pick GPT-5.4 Nano for output tokens 3.4x cheaper ($1.25 vs $4.25 per million) and work measured by Chess puzzles, where it leads.

Model AGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
60
GPT-5.4 Nano only
25
Muse Spark 1.3 only
36
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 Nano 44.8 from 2 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Agentic work, 28.8 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.4 Nano 26.1% against Muse Spark 1.3 82.9%, 56.8 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Muse Spark 1.3 $4.25 per million output tokens, 3.4x apart.
Context window
GPT-5.4 Nano takes 400K 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-5.4 NanoBarsMuse Spark 1.3Ties
Coding08
Intelligence02
Agentic work05
Reasoning18
Math06
Knowledge04
General026
All shared boards159
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for GPT-5.4 Nano and Muse Spark 1.3
BenchmarkGPT-5.4 NanoMuse Spark 1.3Leader
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDevNot measured1659Only Muse Spark 1.3 measured
AA Coding Index56.175.8Muse Spark 1.3
LiveCodeBench (Vals AI)84.0%Not measuredOnly GPT-5.4 Nano measured
SWE-bench Verified (Vals AI)69.8%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)26.1%82.9%Muse Spark 1.3
Code migration (Vals AI)14.5%27.6%Muse Spark 1.3
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)41.6%72.3%Muse Spark 1.3
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCode47.2%59.7%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)42.4%Not measuredOnly GPT-5.4 Nano measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.51688.3Muse Spark 1.3
LMArena Text: coding14041510Muse Spark 1.3
LMArena Text: software and IT14021511Muse 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 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.4 Nano and Muse Spark 1.3
BenchmarkGPT-5.4 NanoMuse Spark 1.3Leader
AA Intelligence Index20.748.1Muse Spark 1.3
Epoch Capabilities Index146.0157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for GPT-5.4 Nano and Muse Spark 1.3
BenchmarkGPT-5.4 NanoMuse Spark 1.3Leader
AA Agentic Index16.055.5Muse Spark 1.3
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 measured1217Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1075Only 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)38.2%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)5.0%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)6.3%40.9%Muse Spark 1.3
Excel Modeling Benchmark (Vals AI)44.8%62.7%Muse Spark 1.3
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
τ²-Bench Telecom76.0%Not measuredOnly GPT-5.4 Nano measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index18
Reasoning benchmarks for GPT-5.4 Nano and Muse Spark 1.3
BenchmarkGPT-5.4 NanoMuse Spark 1.3Leader
GPQA Diamond77.5%Not measuredOnly GPT-5.4 Nano measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
MMMU Pro (Vals AI)73.6%Not measuredOnly GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)81.7%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)28.3%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)78.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI51.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI-25.7%Not measuredOnly GPT-5.4 Nano measured
Chess puzzles45.0%37.0%GPT-5.4 Nano
Mystery game puzzles9.0%25.0%Muse Spark 1.3
LMArena Text: hard prompts13811503Muse Spark 1.3
LMArena Text: expert13961519Muse Spark 1.3
LMArena Text: hard prompts in English13871500Muse Spark 1.3
LMArena Vision: diagrams12101330Muse Spark 1.3
LMArena Vision: homework12251296Muse Spark 1.3
Kagi LLM Benchmark39.7%Not measuredOnly GPT-5.4 Nano measured
Humanity's Last Exam (Scale run)Not measured25.4%Only Muse Spark 1.3 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for GPT-5.4 Nano and Muse Spark 1.3
BenchmarkGPT-5.4 NanoMuse Spark 1.3Leader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
OTIS Mock AIME87.8%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 344.9%74.4%Muse Spark 1.3
FrontierMath, tier 412.2%46.3%Muse Spark 1.3
ProofBench5.0%58.0%Muse Spark 1.3
LMArena Text: math14051497Muse Spark 1.3
LMArena Text: mathematical work14091491Muse Spark 1.3
MathArenaNot measured43.0%Only Muse Spark 1.3 measured
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 Nano and Muse Spark 1.3
BenchmarkGPT-5.4 NanoMuse Spark 1.3Leader
MMLU Pro77.2%Not measuredOnly GPT-5.4 Nano measured
LegalBench (Vals AI)77.9%Not measuredOnly GPT-5.4 Nano measured
CaseLaw (Vals AI)51.9%Not measuredOnly GPT-5.4 Nano measured
CorpFin (Vals AI)61.2%Not measuredOnly GPT-5.4 Nano measured
TaxEval (Vals AI)67.4%Not measuredOnly GPT-5.4 Nano measured
MortgageTax (Vals AI)59.1%Not measuredOnly GPT-5.4 Nano measured
MedCode (Vals AI)41.0%Not measuredOnly GPT-5.4 Nano measured
SimpleQA Verified11.7%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: science13741507Muse Spark 1.3
LMArena Text: medicine and healthcare13691493Muse Spark 1.3
LMArena Text: legal and government13681499Muse Spark 1.3
LMArena Text: business and finance13661490Muse Spark 1.3
PRBench FinanceNot measured59.5%Only Muse Spark 1.3 measured
PRBench LegalNot measured61.6%Only Muse Spark 1.3 measured
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 Nano and Muse Spark 1.3
BenchmarkGPT-5.4 NanoMuse Spark 1.3Leader
Design Arena: websitesNot measured1356Only Muse Spark 1.3 measured
Design Arena: UI componentsNot measured1350Only Muse Spark 1.3 measured
Design Arena: game devNot measured1328Only Muse Spark 1.3 measured
Design Arena: data vizNot measured1344Only Muse Spark 1.3 measured
Design Arena: 3DNot measured1358Only Muse Spark 1.3 measured
Design Arena: all code categoriesNot measured1352Only Muse Spark 1.3 measured
Design Arena: SVGNot measured1301Only Muse Spark 1.3 measured
Design Arena: ASCII artNot measured1283Only 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-5.4 Nano and Muse Spark 1.3
BenchmarkGPT-5.4 NanoMuse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
SAGE (Vals AI)38.1%Not measuredOnly GPT-5.4 Nano measured
MedScribe (Vals AI)77.1%Not measuredOnly GPT-5.4 Nano measured
Vals Multimodal Index47.6%Not measuredOnly GPT-5.4 Nano measured
IFBench75.9%Not measuredOnly GPT-5.4 Nano measured
Long context reasoning (AA-LCR)76.7%83.0%Muse Spark 1.3
DTBench80.3%96.5%Muse Spark 1.3
LMCA36.9%53.9%Muse Spark 1.3
LMArena Text13721490Muse Spark 1.3
LMArena Text: instruction following13621479Muse Spark 1.3
LMArena Text: creative writing13151462Muse Spark 1.3
LMArena Vision11961308Muse Spark 1.3
LMArena Text: English13811495Muse Spark 1.3
LMArena Text: non-English13591481Muse Spark 1.3
LMArena Text: Chinese13911532Muse Spark 1.3
LMArena Text: German13681513Muse Spark 1.3
LMArena Text: Japanese13431470Muse Spark 1.3
LMArena Text: Korean13211490Muse Spark 1.3
LMArena Text: French13951511Muse Spark 1.3
LMArena Text: Spanish13711496Muse Spark 1.3
LMArena Text: Russian13631491Muse Spark 1.3
LMArena Text: Polish13661490Muse Spark 1.3
LMArena Text: multi-turn13821487Muse Spark 1.3
LMArena Text: longer queries13651488Muse Spark 1.3
LMArena Text: writing and language13381470Muse Spark 1.3
LMArena Text: entertainment and media13251457Muse Spark 1.3
LMArena Vision: English12021298Muse Spark 1.3
LMArena Vision: Chinese12321384Muse Spark 1.3
LMArena Vision: reading text12041319Muse Spark 1.3
LMArena Vision: humor11611293Muse Spark 1.3
LMArena Vision: recognizing things1141Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: creative writing11591296Muse Spark 1.3
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 Nano and Muse Spark 1.3
BenchmarkGPT-5.4 NanoMuse 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 Nano$0.0008Fits in one request
Muse Spark 1.3$0.0034Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Nano$0.014Fits in one request
Muse Spark 1.3$0.075Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request
Muse Spark 1.3$0.292Fits in one request

GPT-5.4 Nano 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 Nano and Muse Spark 1.3
SpecificationOpenAI GPT-5.4 NanoMeta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026September 2, 2026
Context window400K1.05M
Input $/Mtok$0.20$1.25
Output $/Mtok$1.25$4.25
Coding index44.857.4
Independent measurements behind it24
Cost per solved task$0.14Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano. Pick GPT-5.4 Nano for output tokens 3.4x cheaper ($1.25 vs $4.25 per million) and work measured by Chess puzzles, where it leads.

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

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GPT-5.4 Nano only.

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

Muse Spark 1.3, with 1.05M tokens against 400K.

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

60 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Nano's coding index rests on 2 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-nano-vs-meta-muse-spark-1-3" title="GPT-5.4 Nano 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-nano-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GPT-5.4 Nano vs Muse Spark 1.3</a></p>