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GPT-5.1 vs Muse Spark 1.2

Updated October 21, 2026. 63 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 1.2
GPT-5.1OpenAI
Coding
53.3
Overall
24.7
Output $/M
$10.00
5
Muse Spark 1.2Meta
Coding
65.1
Overall
39.6
Output $/M
$4.25
58
vs boards won of 63 shared

Decision reading

Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 53.3 for GPT-5.1.

Pick GPT-5.1 when what matters is WeirdML or Chess puzzles, where it leads.

Model AGPT-5.1OpenAI53.3/1002 independent benchmarks$1.02 per solved taskModel BMuse Spark 1.2Meta65.1/1002 independent benchmarks$0.64 per solved task
Shared results
63
GPT-5.1 only
37
Muse Spark 1.2 only
34
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 1.2 65.1 from 2 benchmarks.
Widest category
Coding, 21.2 points apart on average over 9 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.1 24.6% against Muse Spark 1.2 79.1%, 54.5 points apart on a 0 to 100 scale.
Output price
GPT-5.1 $10.00 against Muse Spark 1.2 $4.25 per million output tokens, 2.4x apart.
Context window
GPT-5.1 takes 400K tokens, Muse Spark 1.2 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 1.2Ties
Coding18
Intelligence02
Reasoning18
Math02
Knowledge29
Web design08
General121
All shared boards558
CodingLike-for-likeFour of these boards feed the Vibe Coding Index18
Coding benchmarks for GPT-5.1 and Muse Spark 1.2
BenchmarkGPT-5.1Muse Spark 1.2Leader
SWE-bench Verified66.0%Not measuredOnly GPT-5.1 measured
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev13961534Muse Spark 1.2
AA Coding Index49.472.2Muse Spark 1.2
LiveCodeBench (Vals AI)86.5%Not measuredOnly GPT-5.1 measured
SWE-bench Verified (Vals AI)69.8%86.6%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)24.6%79.1%Muse Spark 1.2
Code migration (Vals AI)Not measured29.9%Only Muse Spark 1.2 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.2 measured
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.7%Only Muse Spark 1.2 measured
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
LiveCodeBench (Artificial Analysis run)86.8%Not measuredOnly GPT-5.1 measured
SciCodeNot measured57.4%Only Muse Spark 1.2 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 measured12.0%Only Muse Spark 1.2 measured
GSO-Bench13.7%Not measuredOnly GPT-5.1 measured
WeirdML60.8%60.3%GPT-5.1
LMArena Text: coding14531505Muse Spark 1.2
LMArena Text: software and IT14541505Muse Spark 1.2
LMArena WebDev: React13071526Muse Spark 1.2
LMArena WebDev: HTML14051543Muse Spark 1.2
LMArena WebDev: from an image1421Not measuredOnly GPT-5.1 measured
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 1.2
BenchmarkGPT-5.1Muse Spark 1.2Leader
AA Intelligence Index24.739.6Muse Spark 1.2
Epoch Capabilities Index149.8155.1Muse Spark 1.2
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for GPT-5.1 and Muse Spark 1.2
BenchmarkGPT-5.1Muse Spark 1.2Leader
AA Agentic IndexNot measured43.2Only Muse Spark 1.2 measured
Design Arena: agents building web appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building full-stack appsNot measured1210Only Muse Spark 1.2 measured
Design Arena: agents building mobile appsNot measured1182Only Muse Spark 1.2 measured
Design Arena: agents building Android appsNot measured1228Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1135Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1198Only Muse Spark 1.2 measured
LiveBench researchNot measured67.7%Only Muse Spark 1.2 measured
LiveBench browserNot measured36.0%Only Muse Spark 1.2 measured
LiveBench long agenticNot measured21.3%Only Muse Spark 1.2 measured
SREBench (Vals AI)Not measured0.0%Only Muse Spark 1.2 measured
Finance Agent (Vals AI)Not measured60.6%Only Muse Spark 1.2 measured
Tax Agent Bench (Vals AI)Not measured32.8%Only Muse Spark 1.2 measured
Legal Research Bench (Vals AI)Not measured43.8%Only Muse Spark 1.2 measured
Excel Modeling Benchmark (Vals AI)Not measured57.0%Only Muse Spark 1.2 measured
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
τ²-Bench Telecom81.9%Not measuredOnly GPT-5.1 measured
APEX-AgentsNot measured45.4%Only Muse Spark 1.2 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 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index18
Reasoning benchmarks for GPT-5.1 and Muse Spark 1.2
BenchmarkGPT-5.1Muse Spark 1.2Leader
GPQA Diamond86.6%Not measuredOnly GPT-5.1 measured
LiveBench reasoningNot measured90.0%Only Muse Spark 1.2 measured
MMMU Pro (Vals AI)83.2%86.1%Muse Spark 1.2
GPQA Diamond (Artificial Analysis run)87.3%90.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)28.5%45.5%Muse Spark 1.2
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%74.5%Muse Spark 1.2
Chess puzzles42.0%27.0%GPT-5.1
Mystery game puzzles19.0%Not measuredOnly GPT-5.1 measured
VPCT58.7%Not measuredOnly GPT-5.1 measured
LMArena Text: hard prompts14571489Muse Spark 1.2
LMArena Text: expert14701475Muse Spark 1.2
LMArena Text: hard prompts in English14621487Muse Spark 1.2
LMArena Vision: diagrams12641317Muse Spark 1.2
LMArena Vision: homework1272Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-5.1 and Muse Spark 1.2
BenchmarkGPT-5.1Muse Spark 1.2Leader
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 measured43.0%Only Muse Spark 1.2 measured
LMArena Text: math14461484Muse Spark 1.2
LMArena Text: mathematical work14491480Muse Spark 1.2
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index29
Knowledge benchmarks for GPT-5.1 and Muse Spark 1.2
BenchmarkGPT-5.1Muse Spark 1.2Leader
MMLU Pro86.4%88.3%Muse Spark 1.2
LegalBench (Vals AI)85.7%85.3%GPT-5.1
CaseLaw (Vals AI)73.4%Not measuredOnly GPT-5.1 measured
CorpFin (Vals AI)63.8%70.9%Muse Spark 1.2
TaxEval (Vals AI)74.9%80.4%Muse Spark 1.2
MortgageTax (Vals AI)61.4%65.4%Muse Spark 1.2
MedQA (Vals AI)96.4%Not measuredOnly GPT-5.1 measured
MedCode (Vals AI)52.7%49.4%GPT-5.1
MMLU Pro (Artificial Analysis run)87.0%Not measuredOnly GPT-5.1 measured
SimpleQA Verified48.0%60.3%Muse Spark 1.2
LMArena Text: science14591500Muse Spark 1.2
LMArena Text: medicine and healthcare14561496Muse Spark 1.2
LMArena Text: legal and government14591517Muse Spark 1.2
LMArena Text: business and finance14311484Muse Spark 1.2
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 1.2
BenchmarkGPT-5.1Muse Spark 1.2Leader
Design Arena: websites11871313Muse Spark 1.2
Design Arena: UI components11661300Muse Spark 1.2
Design Arena: game dev11791302Muse Spark 1.2
Design Arena: data viz12041334Muse Spark 1.2
Design Arena: 3D10611301Muse Spark 1.2
Design Arena: all code categories11711313Muse Spark 1.2
Design Arena: SVG11491285Muse Spark 1.2
Design Arena: ASCII art11181284Muse Spark 1.2
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for GPT-5.1 and Muse Spark 1.2
BenchmarkGPT-5.1Muse Spark 1.2Leader
LiveBench data analysisNot measured76.5%Only Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)Not measured68.5%Only Muse Spark 1.2 measured
SAGE (Vals AI)43.2%47.7%Muse Spark 1.2
MedScribe (Vals AI)88.1%90.1%Muse Spark 1.2
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
IFBench72.9%Not measuredOnly GPT-5.1 measured
Long context reasoning (AA-LCR)80.0%79.0%GPT-5.1
DTBench90.1%94.7%Muse Spark 1.2
LMCA43.9%48.4%Muse Spark 1.2
CL-bench23.7%Not measuredOnly GPT-5.1 measured
CL-bench Life17.3%Not measuredOnly GPT-5.1 measured
LMArena Text14431482Muse Spark 1.2
LMArena Text: instruction following14431462Muse Spark 1.2
LMArena Text: creative writing14271436Muse Spark 1.2
LMArena Vision12501304Muse Spark 1.2
LMArena Text: English14511483Muse Spark 1.2
LMArena Text: non-English14311476Muse Spark 1.2
LMArena Text: Chinese14951509Muse Spark 1.2
LMArena Text: German1438Not measuredOnly GPT-5.1 measured
LMArena Text: Japanese1453Not measuredOnly GPT-5.1 measured
LMArena Text: Korean14011462Muse Spark 1.2
LMArena Text: French14501495Muse Spark 1.2
LMArena Text: Spanish14331484Muse Spark 1.2
LMArena Text: Russian14351483Muse Spark 1.2
LMArena Text: Polish1440Not measuredOnly GPT-5.1 measured
LMArena Text: multi-turn14501502Muse Spark 1.2
LMArena Text: longer queries14481473Muse Spark 1.2
LMArena Text: writing and language14281453Muse Spark 1.2
LMArena Text: entertainment and media14151443Muse Spark 1.2
LMArena Vision: English12521291Muse Spark 1.2
LMArena Vision: Chinese1270Not measuredOnly GPT-5.1 measured
LMArena Vision: reading text12551313Muse Spark 1.2
LMArena Vision: humor1263Not measuredOnly GPT-5.1 measured
LMArena Vision: captioning1252Not measuredOnly GPT-5.1 measured
LMArena Vision: recognizing things1232Not measuredOnly GPT-5.1 measured
LMArena Vision: creative writing1266Not measuredOnly GPT-5.1 measured
LMArena Document1403Not measuredOnly GPT-5.1 measured
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 1.2
BenchmarkGPT-5.1Muse Spark 1.2Leader
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 1.2$0.0034Fits in one request

Muse Spark 1.2 costs less

Repository review

50K input + 3K output tokens

GPT-5.1$0.092Fits in one request
Muse Spark 1.2$0.075Fits in one request

Muse Spark 1.2 costs less

Agent loop

200K input + 10K output tokens

GPT-5.1$0.350Fits in one request
Muse Spark 1.2$0.292Fits in one request

Muse Spark 1.2 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 1.2
SpecificationOpenAI GPT-5.1Meta Muse Spark 1.2
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedNovember 13, 2025August 5, 2026
Context window400K1.05M
Input $/Mtok$1.25$1.25
Output $/Mtok$10.00$4.25
Coding index53.365.1
Independent measurements behind it22
Cost per solved task$1.02$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1 better than Muse Spark 1.2 for coding?

Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 53.3 for GPT-5.1. Pick GPT-5.1 when what matters is WeirdML or Chess puzzles, where it leads.

Which is cheaper, GPT-5.1 or Muse Spark 1.2?

GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GPT-5.1 costs $1.02 and Muse Spark 1.2 $0.64.

Which has the bigger context window, GPT-5.1 or Muse Spark 1.2?

Muse Spark 1.2, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5.1 vs Muse Spark 1.2 comparison based on?

63 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 1.2's on 2. 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-1-2" title="GPT-5.1 vs Muse Spark 1.2, 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-1-2">LLMBenchmark.ai, GPT-5.1 vs Muse Spark 1.2</a></p>