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GPT-5.1 vs Muse Spark 1.1

Muse Spark 1.1 leads GPT-5.1 on coding, 70.3 to 40.4 on the Vibe Coding Index, and Muse Spark 1.1 costs 2.4x less per output token ($4.25 vs $10.00 per million). Updated October 22, 2026; 72 benchmarks have a result for both.

Replace GPT-5.1 Replace Muse Spark 1.1
GPT-5.1OpenAI
Coding
40.4
Overall
55.0
Output $/M
$10.00
6
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
66
vs boards won of 72 shared

GPT-5.1 or Muse Spark 1.1: which to pick

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 40.4 for GPT-5.1.

Pick GPT-5.1 for work measured by LiveCodeBench (Vals AI) or Chess puzzles, where it leads.

Model AGPT-5.1OpenAI40.4/1003 independent benchmarks$1.02 per solved taskModel BMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved task
Shared results
72
GPT-5.1 only
29
Muse Spark 1.1 only
24
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-5.1 40.4 from 3 benchmarks, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Agentic work, 31.5 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.1 24.6% against Muse Spark 1.1 72.2%, 47.5 points apart on a 0 to 100 scale.
Output price
GPT-5.1 $10.00 against Muse Spark 1.1 $4.25 per million output tokens, 2.4x apart.
Context window
GPT-5.1 takes 400K tokens, Muse Spark 1.1 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 1.1Ties
Coding19
Intelligence02
Agentic work01
Reasoning19
Math02
Knowledge19
Web design08
General326
All shared boards666
CodingLike-for-likeSix of these boards feed the Vibe Coding Index19
Coding benchmarks for GPT-5.1 and Muse Spark 1.1
BenchmarkGPT-5.1Muse Spark 1.1Leader
SWE-bench Verified66.0%Not measuredOnly GPT-5.1 measured
LMArena WebDev13961542Muse Spark 1.1
AA Coding Index49.471.3Muse Spark 1.1
LiveCodeBench (Vals AI)86.5%85.9%GPT-5.1
SWE-bench Verified (Vals AI)69.8%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)24.6%72.2%Muse Spark 1.1
Code migration (Vals AI)Not measured31.1%Only Muse Spark 1.1 measured
ProgramBench (Vals AI)Not measured0.0%Only Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.3%Only Muse Spark 1.1 measured
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
LiveCodeBench (Artificial Analysis run)86.8%Not measuredOnly GPT-5.1 measured
SciCodeNot measured58.8%Only Muse Spark 1.1 measured
Terminal-Bench Hard (Artificial Analysis run)45.5%Not measuredOnly GPT-5.1 measured
Terminal-Bench47.6%Not measuredOnly GPT-5.1 measured
GSO-Bench13.7%Not measuredOnly GPT-5.1 measured
WeirdML60.8%Not measuredOnly GPT-5.1 measured
LMArena Text: coding14531498Muse Spark 1.1
LMArena Text: software and IT14541498Muse Spark 1.1
LMArena WebDev: React13071532Muse Spark 1.1
LMArena WebDev: HTML14051540Muse Spark 1.1
LMArena WebDev: from an image14211540Muse Spark 1.1
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.1 and Muse Spark 1.1
BenchmarkGPT-5.1Muse Spark 1.1Leader
AA Intelligence Index24.733.7Muse Spark 1.1
Epoch Capabilities Index149.8154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5.1 and Muse Spark 1.1
BenchmarkGPT-5.1Muse Spark 1.1Leader
AA Agentic IndexNot measured25.8Only Muse Spark 1.1 measured
Design Arena: agents building web appsNot measured1207Only Muse Spark 1.1 measured
Design Arena: agents building full-stack appsNot measured1199Only Muse Spark 1.1 measured
Design Arena: agents building mobile appsNot measured1175Only Muse Spark 1.1 measured
Design Arena: agents building Android appsNot measured1178Only Muse Spark 1.1 measured
Design Arena: agents building Godot gamesNot measured1103Only Muse Spark 1.1 measured
Design Arena: agents building gamesNot measured1183Only Muse Spark 1.1 measured
Design Arena: HTML slidesNot measured1195Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1155Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured1042Only Muse Spark 1.1 measured
Finance Agent (Vals AI)Not measured57.2%Only Muse Spark 1.1 measured
Legal Research Bench (Vals AI)Not measured38.0%Only Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)Not measured56.4%Only Muse Spark 1.1 measured
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom81.9%Not measuredOnly GPT-5.1 measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
DeepResearch Bench42.8%Not measuredOnly GPT-5.1 measured
Vending-Bench 2$1,473$6,520Muse Spark 1.1
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index19
Reasoning benchmarks for GPT-5.1 and Muse Spark 1.1
BenchmarkGPT-5.1Muse Spark 1.1Leader
GPQA Diamond86.6%91.2%Muse Spark 1.1
MMMU Pro (Vals AI)83.2%86.6%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)87.3%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)28.5%46.2%Muse Spark 1.1
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%34.0%GPT-5.1
Mystery game puzzles19.0%Not measuredOnly GPT-5.1 measured
VPCT58.7%Not measuredOnly GPT-5.1 measured
LMArena Text: hard prompts14571485Muse Spark 1.1
LMArena Text: expert14701478Muse Spark 1.1
LMArena Text: hard prompts in English14621480Muse Spark 1.1
LMArena Vision: diagrams12641305Muse Spark 1.1
LMArena Vision: homework12721287Muse Spark 1.1
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-5.1 and Muse Spark 1.1
BenchmarkGPT-5.1Muse Spark 1.1Leader
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%Not measuredOnly GPT-5.1 measured
ProofBenchNot measured39.0%Only Muse Spark 1.1 measured
LMArena Text: math14461482Muse Spark 1.1
LMArena Text: mathematical work14491487Muse Spark 1.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19
Knowledge benchmarks for GPT-5.1 and Muse Spark 1.1
BenchmarkGPT-5.1Muse Spark 1.1Leader
MMLU Pro86.4%88.7%Muse Spark 1.1
LegalBench (Vals AI)85.7%85.0%GPT-5.1
CaseLaw (Vals AI)73.4%Not measuredOnly GPT-5.1 measured
CorpFin (Vals AI)63.8%71.3%Muse Spark 1.1
TaxEval (Vals AI)74.9%79.7%Muse Spark 1.1
MortgageTax (Vals AI)61.4%66.1%Muse Spark 1.1
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%57.8%Muse Spark 1.1
LMArena Text: science14591484Muse Spark 1.1
LMArena Text: medicine and healthcare14561479Muse Spark 1.1
LMArena Text: legal and government14591481Muse Spark 1.1
LMArena Text: business and finance14311470Muse Spark 1.1
FACTS Benchmark Suite45.0%Not measuredOnly GPT-5.1 measured
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 1.1
BenchmarkGPT-5.1Muse Spark 1.1Leader
Design Arena: websites11871270Muse Spark 1.1
Design Arena: UI components11631289Muse Spark 1.1
Design Arena: game dev11781269Muse Spark 1.1
Design Arena: data viz12041268Muse Spark 1.1
Design Arena: 3D10601260Muse Spark 1.1
Design Arena: all code categories11701276Muse Spark 1.1
Design Arena: SVG11491235Muse Spark 1.1
Design Arena: ASCII art11191271Muse Spark 1.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index326
General benchmarks for GPT-5.1 and Muse Spark 1.1
BenchmarkGPT-5.1Muse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)43.2%45.6%Muse Spark 1.1
MedScribe (Vals AI)88.1%88.9%Muse Spark 1.1
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
IFBench72.9%Not measuredOnly GPT-5.1 measured
Long context reasoning (AA-LCR)80.0%77.7%GPT-5.1
DTBench90.1%94.4%Muse Spark 1.1
LMCA43.9%49.9%Muse Spark 1.1
CL-bench23.7%Not measuredOnly GPT-5.1 measured
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
CL-bench Life17.3%Not measuredOnly GPT-5.1 measured
LMArena Text14431478Muse Spark 1.1
LMArena Text: instruction following14431457Muse Spark 1.1
LMArena Text: creative writing14271435Muse Spark 1.1
LMArena Vision12501293Muse Spark 1.1
LMArena Text: English14511478Muse Spark 1.1
LMArena Text: non-English14311471Muse Spark 1.1
LMArena Text: Chinese14951515Muse Spark 1.1
LMArena Text: German14381469Muse Spark 1.1
LMArena Text: Japanese14531450GPT-5.1
LMArena Text: Korean14011459Muse Spark 1.1
LMArena Text: French14501492Muse Spark 1.1
LMArena Text: Spanish14331464Muse Spark 1.1
LMArena Text: Russian14351482Muse Spark 1.1
LMArena Text: Polish14401499Muse Spark 1.1
LMArena Text: multi-turn14501484Muse Spark 1.1
LMArena Text: longer queries14481462Muse Spark 1.1
LMArena Text: writing and language14281448Muse Spark 1.1
LMArena Text: entertainment and media14151438Muse Spark 1.1
LMArena Vision: English12521292Muse Spark 1.1
LMArena Vision: Chinese12701348Muse Spark 1.1
LMArena Vision: reading text12551301Muse Spark 1.1
LMArena Vision: humor12631288Muse Spark 1.1
LMArena Vision: captioning1252Not measuredOnly GPT-5.1 measured
LMArena Vision: recognizing things1232Not measuredOnly GPT-5.1 measured
LMArena Vision: creative writing12661253GPT-5.1
LMArena Document14031465Muse Spark 1.1
Neither model has a result on the other 9 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 1.1
BenchmarkGPT-5.1Muse Spark 1.1Leader
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 1.1$0.0034Fits in one request

Muse Spark 1.1 costs less

Repository review

50K input + 3K output tokens

GPT-5.1$0.092Fits in one request
Muse Spark 1.1$0.075Fits in one request

Muse Spark 1.1 costs less

Agent loop

200K input + 10K output tokens

GPT-5.1$0.350Fits in one request
Muse Spark 1.1$0.292Fits in one request

Muse Spark 1.1 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 1.1
SpecificationOpenAI GPT-5.1Meta Muse Spark 1.1
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedNovember 13, 2025July 16, 2026
Context window400K1.05M
Input $/Mtok$1.25$1.25
Output $/Mtok$10.00$4.25
Coding index40.470.3
Independent measurements behind it33
Cost per solved task$1.02$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1 better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 40.4 for GPT-5.1. Pick GPT-5.1 for work measured by LiveCodeBench (Vals AI) or Chess puzzles, where it leads.

Which is cheaper, GPT-5.1 or Muse Spark 1.1?

GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GPT-5.1 costs $1.02 and Muse Spark 1.1 $0.43.

Which has the bigger context window, GPT-5.1 or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5.1 vs Muse Spark 1.1 comparison based on?

72 benchmarks have a result for both models as of October 22, 2026. GPT-5.1's coding index rests on 3 independent benchmarks and Muse Spark 1.1's on 3. 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-5-1-vs-meta-muse-spark-1-1" title="GPT-5.1 vs Muse Spark 1.1, 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-1-1">LLMBenchmark.ai, GPT-5.1 vs Muse Spark 1.1</a></p>