LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

GPT-5.1 vs Muse Spark 1.3

Updated October 21, 2026. 60 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.1 Replace Muse Spark 1.3
GPT-5.1OpenAI
Coding
53.3
Overall
24.7
Output $/M
$10.00
1
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
59
vs boards won of 60 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 53.3 for GPT-5.1.

Pick GPT-5.1 when the benchmark that matters is Chess puzzles, where it leads.

Model AGPT-5.1OpenAI53.3/1002 independent benchmarks$1.02 per solved taskModel BMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved task
Shared results
60
GPT-5.1 only
40
Muse Spark 1.3 only
32
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-5.1 53.3 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Coding, 31.6 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.1 24.6% against Muse Spark 1.3 82.9%, 58.3 points apart on a 0 to 100 scale.
Output price
GPT-5.1 $10.00 against Muse Spark 1.3 $4.25 per million output tokens, 2.4x apart.
Context window
GPT-5.1 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-5.1BarsMuse Spark 1.3Ties
Coding08
Intelligence02
Reasoning18
Math03
Knowledge04
Web design08
General026
All shared boards159
CodingLike-for-likeFour of these boards feed the Vibe Coding Index08
Coding benchmarks for GPT-5.1 and Muse Spark 1.3
BenchmarkGPT-5.1Muse Spark 1.3Leader
SWE-bench Verified66.0%Not measuredOnly GPT-5.1 measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDev13961659Muse Spark 1.3
AA Coding Index49.475.8Muse Spark 1.3
LiveCodeBench (Vals AI)86.5%Not measuredOnly GPT-5.1 measured
SWE-bench Verified (Vals AI)69.8%Not measuredOnly GPT-5.1 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)24.6%82.9%Muse Spark 1.3
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)86.8%Not measuredOnly GPT-5.1 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)45.5%Not measuredOnly GPT-5.1 measured
Terminal-Bench47.6%Not measuredOnly GPT-5.1 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
GSO-Bench13.7%Not measuredOnly GPT-5.1 measured
WeirdML60.8%Not measuredOnly GPT-5.1 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding14531510Muse Spark 1.3
LMArena Text: software and IT14541511Muse Spark 1.3
LMArena WebDev: React13071672Muse Spark 1.3
LMArena WebDev: HTML14051653Muse Spark 1.3
LMArena WebDev: from an image14211640Muse Spark 1.3
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.1 and Muse Spark 1.3
BenchmarkGPT-5.1Muse Spark 1.3Leader
AA Intelligence Index24.748.1Muse Spark 1.3
Epoch Capabilities Index149.8157.2Muse Spark 1.3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
Agentic work benchmarks for GPT-5.1 and Muse Spark 1.3
BenchmarkGPT-5.1Muse 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 Telecom81.9%Not measuredOnly GPT-5.1 measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
DeepResearch Bench42.8%Not measuredOnly GPT-5.1 measured
Vending-Bench 2$1,473Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index18
Reasoning benchmarks for GPT-5.1 and Muse Spark 1.3
BenchmarkGPT-5.1Muse Spark 1.3Leader
GPQA Diamond86.6%Not measuredOnly GPT-5.1 measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
MMMU Pro (Vals AI)83.2%Not measuredOnly GPT-5.1 measured
GPQA Diamond (Artificial Analysis run)87.3%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)28.5%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)87.6%Not measuredOnly GPT-5.1 measured
ARC-AGI72.8%Not measuredOnly GPT-5.1 measured
ARC-AGI-217.6%Not measuredOnly GPT-5.1 measured
SimpleBench53.2%Not measuredOnly GPT-5.1 measured
Chess puzzles42.0%37.0%GPT-5.1
Mystery game puzzles19.0%25.0%Muse Spark 1.3
VPCT58.7%Not measuredOnly GPT-5.1 measured
LMArena Text: hard prompts14571503Muse Spark 1.3
LMArena Text: expert14701519Muse Spark 1.3
LMArena Text: hard prompts in English14621500Muse Spark 1.3
LMArena Vision: diagrams12641330Muse Spark 1.3
LMArena Vision: homework12721296Muse Spark 1.3
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-5.1 and Muse Spark 1.3
BenchmarkGPT-5.1Muse Spark 1.3Leader
AIME93.3%Not measuredOnly GPT-5.1 measured
MGSM (Vals AI)93.0%Not measuredOnly GPT-5.1 measured
AA Math Index94.0Not measuredOnly GPT-5.1 measured
AIME 2025 (Artificial Analysis run)94.0%Not measuredOnly GPT-5.1 measured
OTIS Mock AIME88.6%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 3Not measured74.4%Only Muse Spark 1.3 measured
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
LMArena Text: math14461497Muse Spark 1.3
LMArena Text: mathematical work14491491Muse Spark 1.3
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5.1 and Muse Spark 1.3
BenchmarkGPT-5.1Muse Spark 1.3Leader
MMLU Pro86.4%Not measuredOnly GPT-5.1 measured
LegalBench (Vals AI)85.7%Not measuredOnly GPT-5.1 measured
CaseLaw (Vals AI)73.4%Not measuredOnly GPT-5.1 measured
CorpFin (Vals AI)63.8%Not measuredOnly GPT-5.1 measured
TaxEval (Vals AI)74.9%Not measuredOnly GPT-5.1 measured
MortgageTax (Vals AI)61.4%Not measuredOnly GPT-5.1 measured
MedQA (Vals AI)96.4%Not measuredOnly GPT-5.1 measured
MedCode (Vals AI)52.7%Not measuredOnly GPT-5.1 measured
MMLU Pro (Artificial Analysis run)87.0%Not measuredOnly GPT-5.1 measured
SimpleQA Verified48.0%Not measuredOnly GPT-5.1 measured
LMArena Text: science14591507Muse Spark 1.3
LMArena Text: medicine and healthcare14561493Muse Spark 1.3
LMArena Text: legal and government14591499Muse Spark 1.3
LMArena Text: business and finance14311490Muse Spark 1.3
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GPT-5.1 and Muse Spark 1.3
BenchmarkGPT-5.1Muse Spark 1.3Leader
Design Arena: websites11871356Muse Spark 1.3
Design Arena: UI components11661352Muse Spark 1.3
Design Arena: game dev11791329Muse Spark 1.3
Design Arena: data viz12041343Muse Spark 1.3
Design Arena: 3D10611359Muse Spark 1.3
Design Arena: all code categories11711353Muse Spark 1.3
Design Arena: SVG11491300Muse Spark 1.3
Design Arena: ASCII art11181280Muse Spark 1.3
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-5.1 and Muse Spark 1.3
BenchmarkGPT-5.1Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
SAGE (Vals AI)43.2%Not measuredOnly GPT-5.1 measured
MedScribe (Vals AI)88.1%Not measuredOnly GPT-5.1 measured
IFBench72.9%Not measuredOnly GPT-5.1 measured
Long context reasoning (AA-LCR)80.0%83.0%Muse Spark 1.3
DTBench90.1%96.5%Muse Spark 1.3
LMCA43.9%53.9%Muse Spark 1.3
CL-bench23.7%Not measuredOnly GPT-5.1 measured
CL-bench Life17.3%Not measuredOnly GPT-5.1 measured
LMArena Text14431490Muse Spark 1.3
LMArena Text: instruction following14431479Muse Spark 1.3
LMArena Text: creative writing14271462Muse Spark 1.3
LMArena Vision12501308Muse Spark 1.3
LMArena Text: English14511495Muse Spark 1.3
LMArena Text: non-English14311481Muse Spark 1.3
LMArena Text: Chinese14951532Muse Spark 1.3
LMArena Text: German14381513Muse Spark 1.3
LMArena Text: Japanese14531470Muse Spark 1.3
LMArena Text: Korean14011490Muse Spark 1.3
LMArena Text: French14501511Muse Spark 1.3
LMArena Text: Spanish14331496Muse Spark 1.3
LMArena Text: Russian14351491Muse Spark 1.3
LMArena Text: Polish14401490Muse Spark 1.3
LMArena Text: multi-turn14501487Muse Spark 1.3
LMArena Text: longer queries14481488Muse Spark 1.3
LMArena Text: writing and language14281470Muse Spark 1.3
LMArena Text: entertainment and media14151457Muse Spark 1.3
LMArena Vision: English12521298Muse Spark 1.3
LMArena Vision: Chinese12701384Muse Spark 1.3
LMArena Vision: reading text12551319Muse Spark 1.3
LMArena Vision: humor12631293Muse Spark 1.3
LMArena Vision: captioning1252Not measuredOnly GPT-5.1 measured
LMArena Vision: recognizing things1232Not measuredOnly GPT-5.1 measured
LMArena Vision: creative writing12661296Muse Spark 1.3
LMArena Document1403Not measuredOnly GPT-5.1 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-5.1 and Muse Spark 1.3
BenchmarkGPT-5.1Muse 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-5.1$0.0063Fits 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-5.1$0.092Fits 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-5.1$0.350Fits 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-5.1 and Muse Spark 1.3
SpecificationOpenAI GPT-5.1Meta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedNovember 13, 2025September 2, 2026
Context window400K1.05M
Input $/Mtok$1.25$1.25
Output $/Mtok$10.00$4.25
Coding index53.379.7
Independent measurements behind it22
Cost per solved task$1.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1 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 53.3 for GPT-5.1. Pick GPT-5.1 when the benchmark that matters is Chess puzzles, where it leads.

Which is cheaper, GPT-5.1 or Muse Spark 1.3?

GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GPT-5.1 only.

Which has the bigger context window, GPT-5.1 or Muse Spark 1.3?

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

How many benchmarks is the GPT-5.1 vs Muse Spark 1.3 comparison based on?

60 benchmarks have a result for both models as of October 21, 2026. GPT-5.1's coding index rests on 2 independent benchmarks and Muse Spark 1.3's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gpt-5-1-vs-meta-muse-spark-1-3" title="GPT-5.1 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-5-1-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GPT-5.1 vs Muse Spark 1.3</a></p>