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GPT-5 Nano vs Muse Spark 1.3

Updated October 21, 2026. 53 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5 Nano Replace Muse Spark 1.3
GPT-5 NanoOpenAI
Coding
34.8
Overall
13.0
Output $/M
$0.40
0
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
53
vs boards won of 53 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 34.8 for GPT-5 Nano.

Pick GPT-5 Nano when output tokens cost 10.6x less.

Model AGPT-5 NanoOpenAI34.8/1001 independent benchmark$0.109 per solved taskModel BMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved task
Shared results
53
GPT-5 Nano only
32
Muse Spark 1.3 only
39
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 Nano 34.8 from 1 benchmark, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Web design, 37.0 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: GPT-5 Nano 20.0% against Muse Spark 1.3 74.4%, 54.4 points apart on a 0 to 100 scale.
Output price
GPT-5 Nano $0.40 against Muse Spark 1.3 $4.25 per million output tokens, 10.6x apart.
Context window
GPT-5 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 NanoBarsMuse Spark 1.3Ties
Coding02
Intelligence02
Reasoning09
Math06
Knowledge04
Web design06
General024
All shared boards053
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-5 Nano and Muse Spark 1.3
BenchmarkGPT-5 NanoMuse Spark 1.3Leader
SWE-bench Verified34.8%Not measuredOnly GPT-5 Nano measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDevNot measured1659Only Muse Spark 1.3 measured
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
LiveCodeBench (Vals AI)70.2%Not measuredOnly GPT-5 Nano 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)78.9%Not measuredOnly GPT-5 Nano measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)17.4%Not measuredOnly GPT-5 Nano measured
Terminal-Bench21.8%Not measuredOnly GPT-5 Nano measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML38.1%Not measuredOnly GPT-5 Nano measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding13511510Muse Spark 1.3
LMArena Text: software and IT13451511Muse 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-5 Nano and Muse Spark 1.3
BenchmarkGPT-5 NanoMuse Spark 1.3Leader
AA Intelligence Index13.048.1Muse Spark 1.3
Epoch Capabilities Index139.2157.2Muse Spark 1.3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for GPT-5 Nano and Muse Spark 1.3
BenchmarkGPT-5 NanoMuse 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 Telecom36.5%Not measuredOnly GPT-5 Nano 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-5 Nano and Muse Spark 1.3
BenchmarkGPT-5 NanoMuse Spark 1.3Leader
GPQA Diamond63.4%Not measuredOnly GPT-5 Nano measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
MMMU Pro (Vals AI)70.9%Not measuredOnly GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)67.6%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)9.5%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)69.4%Not measuredOnly GPT-5 Nano measured
ARC-AGI20.7%Not measuredOnly GPT-5 Nano measured
ARC-AGI-22.6%Not measuredOnly GPT-5 Nano measured
Chess puzzles22.0%37.0%Muse Spark 1.3
Mystery game puzzles9.0%25.0%Muse Spark 1.3
VPCT37.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: hard prompts13281503Muse Spark 1.3
LMArena Text: expert13211519Muse Spark 1.3
LMArena Text: hard prompts in English13381500Muse Spark 1.3
LMArena Vision: diagrams11411330Muse Spark 1.3
LMArena Vision: homework11571296Muse Spark 1.3
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for GPT-5 Nano and Muse Spark 1.3
BenchmarkGPT-5 NanoMuse Spark 1.3Leader
AIME81.2%Not measuredOnly GPT-5 Nano measured
MATH 500 (Vals AI)93.8%Not measuredOnly GPT-5 Nano measured
MGSM (Vals AI)89.3%Not measuredOnly GPT-5 Nano measured
AA Math Index83.7Not measuredOnly GPT-5 Nano measured
AIME 2025 (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Nano measured
OTIS Mock AIME81.1%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 320.0%74.4%Muse Spark 1.3
FrontierMath, tier 42.4%46.3%Muse Spark 1.3
ProofBench12.0%58.0%Muse Spark 1.3
MATH level 595.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: math13171497Muse Spark 1.3
LMArena Text: mathematical work13261491Muse 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-5 Nano and Muse Spark 1.3
BenchmarkGPT-5 NanoMuse Spark 1.3Leader
MMLU Pro76.1%Not measuredOnly GPT-5 Nano measured
LegalBench (Vals AI)50.1%Not measuredOnly GPT-5 Nano measured
CaseLaw (Vals AI)52.6%Not measuredOnly GPT-5 Nano measured
TaxEval (Vals AI)67.4%Not measuredOnly GPT-5 Nano measured
MortgageTax (Vals AI)53.6%Not measuredOnly GPT-5 Nano measured
MedQA (Vals AI)93.3%Not measuredOnly GPT-5 Nano measured
MedCode (Vals AI)30.4%Not measuredOnly GPT-5 Nano measured
MMLU Pro (Artificial Analysis run)78.0%Not measuredOnly GPT-5 Nano measured
SimpleQA Verified11.7%Not measuredOnly GPT-5 Nano measured
LMArena Text: science13181507Muse Spark 1.3
LMArena Text: medicine and healthcare13351493Muse Spark 1.3
LMArena Text: legal and government12981499Muse Spark 1.3
LMArena Text: business and finance13111490Muse Spark 1.3
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-5 Nano and Muse Spark 1.3
BenchmarkGPT-5 NanoMuse Spark 1.3Leader
Design Arena: websites11011356Muse Spark 1.3
Design Arena: UI components10661352Muse Spark 1.3
Design Arena: game dev10451329Muse Spark 1.3
Design Arena: data viz10561343Muse Spark 1.3
Design Arena: 3D9661359Muse Spark 1.3
Design Arena: all code categories10841353Muse 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 index024
General benchmarks for GPT-5 Nano and Muse Spark 1.3
BenchmarkGPT-5 NanoMuse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
SAGE (Vals AI)30.4%Not measuredOnly GPT-5 Nano measured
MedScribe (Vals AI)72.9%Not measuredOnly GPT-5 Nano measured
IFBench67.6%Not measuredOnly GPT-5 Nano measured
Long context reasoning (AA-LCR)45.0%83.0%Muse Spark 1.3
DTBench62.7%96.5%Muse Spark 1.3
LMCA7.9%53.9%Muse Spark 1.3
Fiction.LiveBench44.4%Not measuredOnly GPT-5 Nano measured
LMArena Text13201490Muse Spark 1.3
LMArena Text: instruction following13061479Muse Spark 1.3
LMArena Text: creative writing12491462Muse Spark 1.3
LMArena Vision11591308Muse Spark 1.3
LMArena Text: English13211495Muse Spark 1.3
LMArena Text: non-English13131481Muse Spark 1.3
LMArena Text: Chinese13561532Muse Spark 1.3
LMArena Text: German13271513Muse Spark 1.3
LMArena Text: Japanese12271470Muse Spark 1.3
LMArena Text: Korean12691490Muse Spark 1.3
LMArena Text: FrenchNot measured1511Only Muse Spark 1.3 measured
LMArena Text: Spanish13601496Muse Spark 1.3
LMArena Text: Russian12961491Muse Spark 1.3
LMArena Text: Polish13141490Muse Spark 1.3
LMArena Text: multi-turn13111487Muse Spark 1.3
LMArena Text: longer queries13121488Muse Spark 1.3
LMArena Text: writing and language12831470Muse Spark 1.3
LMArena Text: entertainment and media12681457Muse Spark 1.3
LMArena Vision: English11701298Muse Spark 1.3
LMArena Vision: Chinese11761384Muse Spark 1.3
LMArena Vision: reading text11521319Muse Spark 1.3
LMArena Vision: humor11101293Muse Spark 1.3
LMArena Vision: creative writingNot measured1296Only Muse Spark 1.3 measured
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-5 Nano and Muse Spark 1.3
BenchmarkGPT-5 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 Nano$0.0003Fits in one request
Muse Spark 1.3$0.0034Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5 Nano$0.0037Fits in one request
Muse Spark 1.3$0.075Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5 Nano$0.014Fits in one request
Muse Spark 1.3$0.292Fits in one request

GPT-5 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 Nano and Muse Spark 1.3
SpecificationOpenAI GPT-5 NanoMeta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025September 2, 2026
Context window400K1.05M
Input $/Mtok$0.05$1.25
Output $/Mtok$0.40$4.25
Coding index34.879.7
Independent measurements behind it12
Cost per solved task$0.109Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Nano 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 34.8 for GPT-5 Nano. Pick GPT-5 Nano when output tokens cost 10.6x less.

Which is cheaper, GPT-5 Nano or Muse Spark 1.3?

GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GPT-5 Nano only.

Which has the bigger context window, GPT-5 Nano or Muse Spark 1.3?

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

How many benchmarks is the GPT-5 Nano vs Muse Spark 1.3 comparison based on?

53 benchmarks have a result for both models as of October 21, 2026. GPT-5 Nano's coding index rests on 1 independent benchmark 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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