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GPT-5.6 Sol vs Muse Spark 1.2

Updated October 21, 2026. 96 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.6 Sol Replace Muse Spark 1.2
GPT-5.6 SolOpenAI
Coding
76.7
Overall
47.0
Output $/M
$20.00
65
Muse Spark 1.2Meta
Coding
65.1
Overall
39.6
Output $/M
$4.25
31
vs boards won of 96 shared

Decision reading

Pick GPT-5.6 Sol for coding: it scores 76.7 on the Vibe Coding Index against 65.1 for Muse Spark 1.2.

Pick Muse Spark 1.2 when output tokens cost 4.7x less, or when a solved task costs $0.64 against $1.20.

Model AGPT-5.6 SolOpenAI76.7/1002 independent benchmarks$1.20 per solved taskModel BMuse Spark 1.2Meta65.1/1002 independent benchmarks$0.64 per solved task
Shared results
96
GPT-5.6 Sol only
40
Muse Spark 1.2 only
1
Like-for-like categories
8 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-5.6 Sol 76.7 from 2 benchmarks, Muse Spark 1.2 65.1 from 2 benchmarks.
Widest category
Math, 14.8 points apart on average over 3 shared benchmarks.
Widest single gap
IOI (Vals AI): GPT-5.6 Sol 91.2% against Muse Spark 1.2 21.8%, 69.4 points apart on a 0 to 100 scale.
Output price
GPT-5.6 Sol $20.00 against Muse Spark 1.2 $4.25 per million output tokens, 4.7x apart.
Context window
GPT-5.6 Sol takes 1.05M 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-5.6 SolBarsMuse Spark 1.2Ties
Coding172
Intelligence20
Agentic work143
Reasoning64
Math21
Knowledge47
Web design81
General1213
All shared boards6531
CodingLike-for-likeFour of these boards feed the Vibe Coding Index172
Coding benchmarks for GPT-5.6 Sol and Muse Spark 1.2
BenchmarkGPT-5.6 SolMuse Spark 1.2Leader
LiveBench coding89.7%78.2%GPT-5.6 Sol
LMArena WebDev16161534GPT-5.6 Sol
AA Coding Index77.472.2GPT-5.6 Sol
LiveCodeBench (Vals AI)82.6%Not measuredOnly GPT-5.6 Sol measured
SWE-bench Verified (Vals AI)96.2%86.6%GPT-5.6 Sol
Terminal-Bench 4 (Vals AI)37.9%6.1%GPT-5.6 Sol
Vibe Code Bench (Vals AI)80.5%79.1%GPT-5.6 Sol
Code migration (Vals AI)52.9%29.9%GPT-5.6 Sol
ProgramBench (Vals AI)1.5%0.5%GPT-5.6 Sol
IOI (Vals AI)91.2%21.8%GPT-5.6 Sol
Terminal-Bench 2.1 (Vals AI)85.8%69.7%GPT-5.6 Sol
Vibe Code Bench 1-100 (Vals AI)20.0%Not measuredOnly GPT-5.6 Sol measured
SkillsBench (Vals AI)54.1%53.0%GPT-5.6 Sol
CyberBench (Vals AI)76.3%69.5%GPT-5.6 Sol
SciCode57.8%57.4%GPT-5.6 Sol
Terminal-Bench Hard (Artificial Analysis run)65.9%Not measuredOnly GPT-5.6 Sol measured
FrontierCode47.5%Not measuredOnly GPT-5.6 Sol measured
FrontierSWE32.2%12.0%GPT-5.6 Sol
GSO-Bench76.5%Not measuredOnly GPT-5.6 Sol measured
WeirdML88.8%60.3%GPT-5.6 Sol
MirrorCode20.0%Not measuredOnly GPT-5.6 Sol measured
ALE-Bench2176.9Not measuredOnly GPT-5.6 Sol measured
LMArena Text: coding14961505Muse Spark 1.2
LMArena Text: software and IT14891505Muse Spark 1.2
LMArena WebDev: React16201526GPT-5.6 Sol
LMArena WebDev: HTML16181543GPT-5.6 Sol
LMArena WebDev: from an image1609Not measuredOnly GPT-5.6 Sol measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.6 Sol and Muse Spark 1.2
BenchmarkGPT-5.6 SolMuse Spark 1.2Leader
AA Intelligence Index47.039.6GPT-5.6 Sol
Epoch Capabilities Index162.8155.1GPT-5.6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index143
Agentic work benchmarks for GPT-5.6 Sol and Muse Spark 1.2
BenchmarkGPT-5.6 SolMuse Spark 1.2Leader
AA Agentic Index50.243.2GPT-5.6 Sol
Design Arena: agents building web apps12451222GPT-5.6 Sol
Design Arena: agents building full-stack apps12611210GPT-5.6 Sol
Design Arena: agents building mobile apps12491182GPT-5.6 Sol
Design Arena: agents building Android apps12461228GPT-5.6 Sol
Design Arena: agents building Godot games1260Not measuredOnly GPT-5.6 Sol measured
Design Arena: agents building games12671179GPT-5.6 Sol
Design Arena: HTML slides12861135GPT-5.6 Sol
Design Arena: PowerPoint slides12401198GPT-5.6 Sol
LiveBench research54.5%67.7%Muse Spark 1.2
LiveBench browser88.0%36.0%GPT-5.6 Sol
LiveBench long agentic48.5%21.3%GPT-5.6 Sol
SREBench (Vals AI)30.5%0.0%GPT-5.6 Sol
Finance Agent (Vals AI)53.8%60.6%Muse Spark 1.2
Tax Agent Bench (Vals AI)31.1%32.8%Muse Spark 1.2
Legal Research Bench (Vals AI)48.1%43.8%GPT-5.6 Sol
Excel Modeling Benchmark (Vals AI)72.3%57.0%GPT-5.6 Sol
BioMysteryBench (Vals AI)71.1%64.8%GPT-5.6 Sol
Terminal-Bench-Science (Vals AI)20.0%Not measuredOnly GPT-5.6 Sol measured
Vals Science Index41.5%Not measuredOnly GPT-5.6 Sol measured
Time Horizon Index (Vals AI)23.8%Not measuredOnly GPT-5.6 Sol measured
CUA-bench (Vals AI)8.3%Not measuredOnly GPT-5.6 Sol measured
τ²-Bench Telecom85.1%Not measuredOnly GPT-5.6 Sol measured
APEX-AgentsNot measured45.4%Only Muse Spark 1.2 measured
OSWorld 2.027.3%Not measuredOnly GPT-5.6 Sol measured
BALROG60.0%Not measuredOnly GPT-5.6 Sol measured
PostTrainBench36.2%Not measuredOnly GPT-5.6 Sol measured
Vending-Bench 2$9,619Not measuredOnly GPT-5.6 Sol measured
LMArena Search1261Not measuredOnly GPT-5.6 Sol measured
Neither model has a result on the other 10 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index64
Reasoning benchmarks for GPT-5.6 Sol and Muse Spark 1.2
BenchmarkGPT-5.6 SolMuse Spark 1.2Leader
GPQA Diamond95.2%Not measuredOnly GPT-5.6 Sol measured
LiveBench reasoning91.7%90.0%GPT-5.6 Sol
MysteryMechanism (Vals AI)33.3%Not measuredOnly GPT-5.6 Sol measured
MMMU Pro (Vals AI)88.8%86.1%GPT-5.6 Sol
GPQA Diamond (Artificial Analysis run)94.1%90.4%GPT-5.6 Sol
Humanity's Last Exam (Artificial Analysis run)49.5%45.5%GPT-5.6 Sol
GPQA Diamond (Epoch AI run)93.5%Not measuredOnly GPT-5.6 Sol measured
ARC-AGI97.5%Not measuredOnly GPT-5.6 Sol measured
ARC-AGI-292.5%Not measuredOnly GPT-5.6 Sol measured
SimpleBench64.8%74.5%Muse Spark 1.2
Chess puzzles59.0%27.0%GPT-5.6 Sol
Mystery game puzzles58.0%Not measuredOnly GPT-5.6 Sol measured
EBR-bench44.8%Not measuredOnly GPT-5.6 Sol measured
LMArena Text: hard prompts14831489Muse Spark 1.2
LMArena Text: expert15171475GPT-5.6 Sol
LMArena Text: hard prompts in English14771487Muse Spark 1.2
LMArena Vision: diagrams13051317Muse Spark 1.2
LMArena Vision: homework1305Not measuredOnly GPT-5.6 Sol measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for GPT-5.6 Sol and Muse Spark 1.2
BenchmarkGPT-5.6 SolMuse Spark 1.2Leader
OTIS Mock AIME100.0%Not measuredOnly GPT-5.6 Sol measured
FrontierMath, tiers 1 to 389.1%Not measuredOnly GPT-5.6 Sol measured
FrontierMath, tier 482.9%Not measuredOnly GPT-5.6 Sol measured
ProofBench83.0%43.0%GPT-5.6 Sol
LMArena Text: math14731484Muse Spark 1.2
LMArena Text: mathematical work14961480GPT-5.6 Sol
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index47
Knowledge benchmarks for GPT-5.6 Sol and Muse Spark 1.2
BenchmarkGPT-5.6 SolMuse Spark 1.2Leader
MMLU Pro89.1%88.3%GPT-5.6 Sol
LegalBench (Vals AI)87.0%85.3%GPT-5.6 Sol
CorpFin (Vals AI)64.4%70.9%Muse Spark 1.2
TaxEval (Vals AI)74.8%80.4%Muse Spark 1.2
MortgageTax (Vals AI)67.3%65.4%GPT-5.6 Sol
MedCode (Vals AI)44.0%49.4%Muse Spark 1.2
SimpleQA Verified69.7%60.3%GPT-5.6 Sol
LMArena Text: science14551500Muse Spark 1.2
LMArena Text: medicine and healthcare14311496Muse Spark 1.2
LMArena Text: legal and government14761517Muse Spark 1.2
LMArena Text: business and finance14571484Muse Spark 1.2
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index81
Web design benchmarks for GPT-5.6 Sol and Muse Spark 1.2
BenchmarkGPT-5.6 SolMuse Spark 1.2Leader
Design Arena: websites13211313GPT-5.6 Sol
Design Arena: UI components13381300GPT-5.6 Sol
Design Arena: game dev13681302GPT-5.6 Sol
Design Arena: data viz13231334Muse Spark 1.2
Design Arena: 3D13851301GPT-5.6 Sol
Design Arena: all code categories13411313GPT-5.6 Sol
Design Arena: SVG13161285GPT-5.6 Sol
Design Arena: ASCII art13021284GPT-5.6 Sol
LiveBench design81.6%67.1%GPT-5.6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index1213
General benchmarks for GPT-5.6 Sol and Muse Spark 1.2
BenchmarkGPT-5.6 SolMuse Spark 1.2Leader
LiveBench data analysis79.8%76.5%GPT-5.6 Sol
Public Benefits Bench (Vals AI)66.5%68.5%Muse Spark 1.2
SAGE (Vals AI)52.6%47.7%GPT-5.6 Sol
MedScribe (Vals AI)85.2%90.1%Muse Spark 1.2
Vals Multimodal Index72.6%69.8%GPT-5.6 Sol
IFBench72.7%Not measuredOnly GPT-5.6 Sol measured
Long context reasoning (AA-LCR)84.0%79.0%GPT-5.6 Sol
DTBench95.7%94.7%GPT-5.6 Sol
LMCA58.5%48.4%GPT-5.6 Sol
Surface Evolver Bench93.1%Not measuredOnly GPT-5.6 Sol measured
Furniture assembly56.7%Not measuredOnly GPT-5.6 Sol measured
LMArena Text14571482Muse Spark 1.2
LMArena Text: instruction following14831462GPT-5.6 Sol
LMArena Text: creative writing14491436GPT-5.6 Sol
LMArena Vision12811304Muse Spark 1.2
LMArena Text: English14571483Muse Spark 1.2
LMArena Text: non-English14511476Muse Spark 1.2
LMArena Text: Chinese15251509GPT-5.6 Sol
LMArena Text: German1476Not measuredOnly GPT-5.6 Sol measured
LMArena Text: Japanese1472Not measuredOnly GPT-5.6 Sol measured
LMArena Text: Korean14421462Muse Spark 1.2
LMArena Text: French14721495Muse Spark 1.2
LMArena Text: Spanish14431484Muse Spark 1.2
LMArena Text: Russian14711483Muse Spark 1.2
LMArena Text: Polish1459Not measuredOnly GPT-5.6 Sol measured
LMArena Text: multi-turn14611502Muse Spark 1.2
LMArena Text: longer queries14811473GPT-5.6 Sol
LMArena Text: writing and language14621453GPT-5.6 Sol
LMArena Text: entertainment and media14501443GPT-5.6 Sol
LMArena Vision: English12801291Muse Spark 1.2
LMArena Vision: Chinese1313Not measuredOnly GPT-5.6 Sol measured
LMArena Vision: reading text12901313Muse Spark 1.2
LMArena Vision: humor1246Not measuredOnly GPT-5.6 Sol measured
LMArena Vision: creative writing1283Not measuredOnly GPT-5.6 Sol measured
LMArena Document1483Not measuredOnly GPT-5.6 Sol 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-5.6 Sol and Muse Spark 1.2
BenchmarkGPT-5.6 SolMuse 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-5.6 Sol$0.014Fits 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-5.6 Sol$0.260Fits 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-5.6 Sol$1.00Fits 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-5.6 Sol and Muse Spark 1.2
SpecificationOpenAI GPT-5.6 SolMeta Muse Spark 1.2
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedJuly 9, 2026August 5, 2026
Context window1.05M1.05M
Input $/Mtok$4.00$1.25
Output $/Mtok$20.00$4.25
Coding index76.765.1
Independent measurements behind it22
Cost per solved task$1.20$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.6 Sol better than Muse Spark 1.2 for coding?

Pick GPT-5.6 Sol for coding: it scores 76.7 on the Vibe Coding Index against 65.1 for Muse Spark 1.2. Pick Muse Spark 1.2 when output tokens cost 4.7x less, or when a solved task costs $0.64 against $1.20.

Which is cheaper, GPT-5.6 Sol or Muse Spark 1.2?

GPT-5.6 Sol costs $4.00 per million input tokens and $20.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, GPT-5.6 Sol costs $1.20 and Muse Spark 1.2 $0.64.

Which has the bigger context window, GPT-5.6 Sol or Muse Spark 1.2?

GPT-5.6 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-5.6 Sol vs Muse Spark 1.2 comparison based on?

96 benchmarks have a result for both models as of October 21, 2026. GPT-5.6 Sol'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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