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GPT-6.1 Sol vs Muse Spark 1.3

GPT-6.1 Sol leads Muse Spark 1.3 on coding, 82.4 to 57.4 on the Vibe Coding Index, and Muse Spark 1.3 costs 2.4x less per output token ($4.25 vs $10.00 per million). Updated October 22, 2026; 76 benchmarks have a result for both.

Replace GPT-6.1 Sol Replace Muse Spark 1.3
GPT-6.1 SolOpenAI
Coding
82.4
Overall
81.4
Output $/M
$10.00
38
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
37
vs boards won of 76 shared, 1 tied

GPT-6.1 Sol or Muse Spark 1.3: which to pick

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 57.4 for Muse Spark 1.3.

Pick Muse Spark 1.3 for output tokens 2.4x cheaper ($4.25 vs $10.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Model AGPT-6.1 SolOpenAI82.4/1005 independent benchmarksNo cost per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
76
GPT-6.1 Sol only
22
Muse Spark 1.3 only
16
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-6.1 Sol 82.4 from 5 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Math, 20.0 points apart on average over 6 shared benchmarks.
Widest single gap
Terminal-Bench 4 (Vals AI): GPT-6.1 Sol 55.0% against Muse Spark 1.3 10.6%, 59.3 points apart on a 0 to 100 scale.
Output price
GPT-6.1 Sol $10.00 against Muse Spark 1.3 $4.25 per million output tokens, 2.4x apart.
Context window
GPT-6.1 Sol takes 1.05M 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-6.1 SolBarsMuse Spark 1.3Ties
Coding114
Intelligence20
Agentic work84
Reasoning54
Math51
Knowledge04
Web design34
General4161 tie
All shared boards38371 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index114
Coding benchmarks for GPT-6.1 Sol and Muse Spark 1.3
BenchmarkGPT-6.1 SolMuse Spark 1.3Leader
LiveBench coding96.0%90.2%GPT-6.1 Sol
LMArena WebDev17531659GPT-6.1 Sol
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)55.0%10.6%GPT-6.1 Sol
Vibe Code Bench (Vals AI)88.9%82.9%GPT-6.1 Sol
Code migration (Vals AI)65.1%27.6%GPT-6.1 Sol
ProgramBench (Vals AI)3.0%0.5%GPT-6.1 Sol
IOI (Vals AI)96.9%43.9%GPT-6.1 Sol
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
SWE-bench Multimodal (Vals AI)43.5%Not measuredOnly GPT-6.1 Sol measured
CyberBench (Vals AI)39.3%69.4%Muse Spark 1.3
SciCode55.8%59.7%Muse Spark 1.3
FrontierCode50.2%Not measuredOnly GPT-6.1 Sol measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
ALE-Bench2743.81688.3GPT-6.1 Sol
LMArena Text: coding14781510Muse Spark 1.3
LMArena Text: software and IT14761511Muse Spark 1.3
LMArena WebDev: React17541672GPT-6.1 Sol
LMArena WebDev: HTML18001653GPT-6.1 Sol
LMArena WebDev: from an image17021640GPT-6.1 Sol
SciCode9.2%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-6.1 Sol and Muse Spark 1.3
BenchmarkGPT-6.1 SolMuse Spark 1.3Leader
AA Intelligence Index51.848.1GPT-6.1 Sol
Epoch Capabilities Index168.4157.2GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index84
Agentic work benchmarks for GPT-6.1 Sol and Muse Spark 1.3
BenchmarkGPT-6.1 SolMuse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web apps13061297GPT-6.1 Sol
Design Arena: agents building full-stack appsNot measured1295Only Muse Spark 1.3 measured
Design Arena: agents building mobile apps12131218Muse Spark 1.3
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1219Only Muse Spark 1.3 measured
Design Arena: spreadsheets12591062GPT-6.1 Sol
LiveBench research83.5%68.6%GPT-6.1 Sol
LiveBench browser88.0%80.0%GPT-6.1 Sol
LiveBench long agentic73.0%40.4%GPT-6.1 Sol
SREBench (Vals AI)50.8%Not measuredOnly GPT-6.1 Sol measured
Finance Agent (Vals AI)52.0%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)21.8%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)38.5%40.9%Muse Spark 1.3
Harvey's Legal Agent Benchmark (Vals AI)6.3%Not measuredOnly GPT-6.1 Sol measured
Excel Modeling Benchmark (Vals AI)70.8%62.7%GPT-6.1 Sol
BioMysteryBench (Vals AI)79.6%Not measuredOnly GPT-6.1 Sol measured
Terminal-Bench-Science (Vals AI)52.9%4.3%GPT-6.1 Sol
Vals Science Index59.6%Not measuredOnly GPT-6.1 Sol measured
Robo-bench (Vals AI)28.3%Not measuredOnly GPT-6.1 Sol measured
APEX-Agents60.0%58.6%GPT-6.1 Sol
SpireClimb24.7%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index54
Reasoning benchmarks for GPT-6.1 Sol and Muse Spark 1.3
BenchmarkGPT-6.1 SolMuse Spark 1.3Leader
LiveBench reasoning92.6%89.7%GPT-6.1 Sol
MysteryMechanism (Vals AI)46.4%Not measuredOnly GPT-6.1 Sol measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)52.9%48.7%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)95.4%Not measuredOnly GPT-6.1 Sol measured
ARC-AGI98.5%Not measuredOnly GPT-6.1 Sol measured
ARC-AGI-294.2%Not measuredOnly GPT-6.1 Sol measured
Chess puzzles68.0%37.0%GPT-6.1 Sol
Mystery game puzzles80.0%25.0%GPT-6.1 Sol
EBR-bench54.3%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: hard prompts14631503Muse Spark 1.3
LMArena Text: expert14891519Muse Spark 1.3
LMArena Text: hard prompts in English14651500Muse Spark 1.3
LMArena Vision: diagrams13061330Muse Spark 1.3
LMArena Vision: homework13561296GPT-6.1 Sol
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for GPT-6.1 Sol and Muse Spark 1.3
BenchmarkGPT-6.1 SolMuse Spark 1.3Leader
OTIS Mock AIME100.0%99.2%GPT-6.1 Sol
FrontierMath, tiers 1 to 393.7%74.4%GPT-6.1 Sol
FrontierMath, tier 4100.0%46.3%GPT-6.1 Sol
ProofBench99.0%58.0%GPT-6.1 Sol
LMArena Text: math14891497Muse Spark 1.3
LMArena Text: mathematical work15131491GPT-6.1 Sol
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-6.1 Sol and Muse Spark 1.3
BenchmarkGPT-6.1 SolMuse Spark 1.3Leader
MedCode (Vals AI)48.8%Not measuredOnly GPT-6.1 Sol measured
SimpleQA Verified73.9%Not measuredOnly GPT-6.1 Sol measured
LMArena Text: science14441507Muse Spark 1.3
LMArena Text: medicine and healthcare14331493Muse Spark 1.3
LMArena Text: legal and government14711499Muse Spark 1.3
LMArena Text: business and finance14451490Muse Spark 1.3
FACTS Benchmark Suite75.3%Not measuredOnly GPT-6.1 Sol measured
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index34
Web design benchmarks for GPT-6.1 Sol and Muse Spark 1.3
BenchmarkGPT-6.1 SolMuse Spark 1.3Leader
Design Arena: websites13211356Muse Spark 1.3
Design Arena: UI components13171349Muse Spark 1.3
Design Arena: game dev13891328GPT-6.1 Sol
Design Arena: data viz12811343Muse Spark 1.3
Design Arena: 3D14601358GPT-6.1 Sol
Design Arena: all code categories13451352Muse Spark 1.3
Design Arena: SVGNot measured1301Only Muse Spark 1.3 measured
Design Arena: ASCII artNot measured1278Only Muse Spark 1.3 measured
LiveBench design82.1%74.8%GPT-6.1 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index416
General benchmarks for GPT-6.1 Sol and Muse Spark 1.3
BenchmarkGPT-6.1 SolMuse Spark 1.3Leader
Vals Index63.9%Not measuredOnly GPT-6.1 Sol measured
LiveBench data analysis82.7%79.6%GPT-6.1 Sol
Public Benefits Bench (Vals AI)59.3%Not measuredOnly GPT-6.1 Sol measured
SAGE (Vals AI)46.5%Not measuredOnly GPT-6.1 Sol measured
MedScribe (Vals AI)86.5%Not measuredOnly GPT-6.1 Sol measured
Long context reasoning (AA-LCR)84.0%83.0%GPT-6.1 Sol
DTBench96.5%96.5%Tie
LMCA62.8%53.9%GPT-6.1 Sol
Furniture assembly80.0%Not measuredOnly GPT-6.1 Sol measured
LMArena Text14431490Muse Spark 1.3
LMArena Text: instruction following14661479Muse Spark 1.3
LMArena Text: creative writing14251462Muse Spark 1.3
LMArena Vision12881308Muse Spark 1.3
LMArena Text: English14501495Muse Spark 1.3
LMArena Text: non-English14331481Muse Spark 1.3
LMArena Text: Chinese14871532Muse Spark 1.3
LMArena Text: GermanNot measured1513Only Muse Spark 1.3 measured
LMArena Text: JapaneseNot measured1470Only Muse Spark 1.3 measured
LMArena Text: KoreanNot measured1490Only Muse Spark 1.3 measured
LMArena Text: French14601511Muse Spark 1.3
LMArena Text: Spanish14391496Muse Spark 1.3
LMArena Text: Russian14571491Muse Spark 1.3
LMArena Text: PolishNot measured1490Only Muse Spark 1.3 measured
LMArena Text: multi-turn14421487Muse Spark 1.3
LMArena Text: longer queries14581488Muse Spark 1.3
LMArena Text: writing and language14441470Muse Spark 1.3
LMArena Text: entertainment and media14261457Muse Spark 1.3
LMArena Vision: English12741298Muse Spark 1.3
LMArena Vision: ChineseNot measured1384Only Muse Spark 1.3 measured
LMArena Vision: reading text12891319Muse Spark 1.3
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writing13011296GPT-6.1 Sol
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6.1 Sol and Muse Spark 1.3
BenchmarkGPT-6.1 SolMuse 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-6.1 Sol$0.0070Fits 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-6.1 Sol$0.130Fits 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-6.1 Sol$0.500Fits 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-6.1 Sol and Muse Spark 1.3
SpecificationOpenAI GPT-6.1 SolMeta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 29, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$1.25
Output $/Mtok$10.00$4.25
Coding index82.457.4
Independent measurements behind it54
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6.1 Sol better than Muse Spark 1.3 for coding?

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 57.4 for Muse Spark 1.3. Pick Muse Spark 1.3 for output tokens 2.4x cheaper ($4.25 vs $10.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Which is cheaper, GPT-6.1 Sol or Muse Spark 1.3?

GPT-6.1 Sol costs $2.00 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 neither of them.

Which has the bigger context window, GPT-6.1 Sol or Muse Spark 1.3?

GPT-6.1 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-6.1 Sol vs Muse Spark 1.3 comparison based on?

76 benchmarks have a result for both models as of October 22, 2026. GPT-6.1 Sol's coding index rests on 5 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-6-1-sol-vs-meta-muse-spark-1-3" title="GPT-6.1 Sol 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-6-1-sol-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GPT-6.1 Sol vs Muse Spark 1.3</a></p>