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GPT-5.6 Terra vs Muse Spark 1.3

Updated October 21, 2026. 89 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 Terra Replace Muse Spark 1.3
GPT-5.6 TerraOpenAI
Coding
69.0
Overall
42.1
Output $/M
$12.00
23
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
64
vs boards won of 89 shared, 2 tied

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 69.0 for GPT-5.6 Terra.

Pick GPT-5.6 Terra when the context window is larger, 1.05M against 1.05M tokens, or when what matters is AA Coding Index or Terminal-Bench 4 (Vals AI), where it leads.

Model AGPT-5.6 TerraOpenAI69.0/1002 independent benchmarks$0.42 per solved taskModel BMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved task
Shared results
89
GPT-5.6 Terra only
35
Muse Spark 1.3 only
3
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 Terra 69.0 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Web design, 12.6 points apart on average over 9 shared benchmarks.
Widest single gap
IOI (Vals AI): GPT-5.6 Terra 87.6% against Muse Spark 1.3 43.9%, 43.7 points apart on a 0 to 100 scale.
Output price
GPT-5.6 Terra $12.00 against Muse Spark 1.3 $4.25 per million output tokens, 2.8x apart.
Context window
GPT-5.6 Terra 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-5.6 TerraBarsMuse Spark 1.3Ties
Coding791 tie
Intelligence11
Agentic work59
Reasoning46
Math42
Knowledge04
Web design18
General1251 tie
All shared boards23642 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index79
Coding benchmarks for GPT-5.6 Terra and Muse Spark 1.3
BenchmarkGPT-5.6 TerraMuse Spark 1.3Leader
LiveBench coding86.2%90.2%Muse Spark 1.3
LMArena WebDev15221659Muse Spark 1.3
AA Coding Index76.775.8GPT-5.6 Terra
LiveCodeBench (Vals AI)85.9%Not measuredOnly GPT-5.6 Terra measured
SWE-bench Verified (Vals AI)95.4%Not measuredOnly GPT-5.6 Terra measured
Terminal-Bench 4 (Vals AI)22.7%10.6%GPT-5.6 Terra
Vibe Code Bench (Vals AI)74.6%82.9%Muse Spark 1.3
Code migration (Vals AI)47.8%27.6%GPT-5.6 Terra
ProgramBench (Vals AI)0.5%0.5%Tie
IOI (Vals AI)87.6%43.9%GPT-5.6 Terra
Terminal-Bench 2.1 (Vals AI)77.5%72.3%GPT-5.6 Terra
Vibe Code Bench 1-100 (Vals AI)14.8%Not measuredOnly GPT-5.6 Terra measured
SkillsBench (Vals AI)58.9%Not measuredOnly GPT-5.6 Terra measured
CyberBench (Vals AI)72.1%69.4%GPT-5.6 Terra
SciCode55.0%59.7%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)62.9%Not measuredOnly GPT-5.6 Terra measured
FrontierCode41.3%Not measuredOnly GPT-5.6 Terra measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML78.3%Not measuredOnly GPT-5.6 Terra measured
ALE-Bench1951.41688.3GPT-5.6 Terra
LMArena Text: coding14851510Muse Spark 1.3
LMArena Text: software and IT14821511Muse Spark 1.3
LMArena WebDev: React15131672Muse Spark 1.3
LMArena WebDev: HTML15261653Muse Spark 1.3
LMArena WebDev: from an image15411640Muse Spark 1.3
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-5.6 Terra and Muse Spark 1.3
BenchmarkGPT-5.6 TerraMuse Spark 1.3Leader
AA Intelligence Index42.148.1Muse Spark 1.3
Epoch Capabilities Index160.1157.2GPT-5.6 Terra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index59
Agentic work benchmarks for GPT-5.6 Terra and Muse Spark 1.3
BenchmarkGPT-5.6 TerraMuse Spark 1.3Leader
AA Agentic Index43.255.5Muse Spark 1.3
Design Arena: agents building web apps11201297Muse Spark 1.3
Design Arena: agents building full-stack apps10611295Muse Spark 1.3
Design Arena: agents building mobile apps11121217Muse Spark 1.3
Design Arena: agents building Android apps1066Not measuredOnly GPT-5.6 Terra measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: agents building games1082Not measuredOnly GPT-5.6 Terra measured
Design Arena: HTML slides1108Not measuredOnly GPT-5.6 Terra measured
Design Arena: PowerPoint slides11301244Muse Spark 1.3
Design Arena: spreadsheetsNot measured1048Only Muse Spark 1.3 measured
LiveBench research60.4%68.6%Muse Spark 1.3
LiveBench browser84.0%80.0%GPT-5.6 Terra
LiveBench long agentic48.4%40.4%GPT-5.6 Terra
SREBench (Vals AI)9.5%Not measuredOnly GPT-5.6 Terra measured
Finance Agent (Vals AI)54.4%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)30.0%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)41.4%40.9%GPT-5.6 Terra
Excel Modeling Benchmark (Vals AI)66.2%62.7%GPT-5.6 Terra
Terminal-Bench-Science (Vals AI)10.0%4.3%GPT-5.6 Terra
τ²-Bench Telecom86.3%Not measuredOnly GPT-5.6 Terra measured
APEX-Agents58.2%58.6%Muse Spark 1.3
BALROG53.2%Not measuredOnly GPT-5.6 Terra measured
Vending-Bench 2$7,343Not measuredOnly GPT-5.6 Terra measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index46
Reasoning benchmarks for GPT-5.6 Terra and Muse Spark 1.3
BenchmarkGPT-5.6 TerraMuse Spark 1.3Leader
GPQA Diamond90.9%Not measuredOnly GPT-5.6 Terra measured
LiveBench reasoning90.6%89.7%GPT-5.6 Terra
MMMU Pro (Vals AI)86.5%Not measuredOnly GPT-5.6 Terra measured
GPQA Diamond (Artificial Analysis run)92.5%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)42.9%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)93.3%Not measuredOnly GPT-5.6 Terra measured
ARC-AGI96.5%Not measuredOnly GPT-5.6 Terra measured
ARC-AGI-283.9%Not measuredOnly GPT-5.6 Terra measured
SimpleBench48.9%Not measuredOnly GPT-5.6 Terra measured
Chess puzzles47.0%37.0%GPT-5.6 Terra
Mystery game puzzles35.0%25.0%GPT-5.6 Terra
LMArena Text: hard prompts14691503Muse Spark 1.3
LMArena Text: expert14961519Muse Spark 1.3
LMArena Text: hard prompts in English14651500Muse Spark 1.3
LMArena Vision: diagrams12951330Muse Spark 1.3
LMArena Vision: homework13121296GPT-5.6 Terra
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index42
Math benchmarks for GPT-5.6 Terra and Muse Spark 1.3
BenchmarkGPT-5.6 TerraMuse Spark 1.3Leader
OTIS Mock AIME99.7%99.2%GPT-5.6 Terra
FrontierMath, tiers 1 to 386.0%74.4%GPT-5.6 Terra
FrontierMath, tier 470.7%46.3%GPT-5.6 Terra
ProofBench74.0%58.0%GPT-5.6 Terra
LMArena Text: math14651497Muse Spark 1.3
LMArena Text: mathematical work14781491Muse Spark 1.3
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-5.6 Terra and Muse Spark 1.3
BenchmarkGPT-5.6 TerraMuse Spark 1.3Leader
MMLU Pro86.7%Not measuredOnly GPT-5.6 Terra measured
LegalBench (Vals AI)85.1%Not measuredOnly GPT-5.6 Terra measured
CorpFin (Vals AI)65.3%Not measuredOnly GPT-5.6 Terra measured
TaxEval (Vals AI)76.2%Not measuredOnly GPT-5.6 Terra measured
MortgageTax (Vals AI)67.3%Not measuredOnly GPT-5.6 Terra measured
MedCode (Vals AI)43.4%Not measuredOnly GPT-5.6 Terra measured
SimpleQA Verified43.2%Not measuredOnly GPT-5.6 Terra measured
LMArena Text: science14521507Muse Spark 1.3
LMArena Text: medicine and healthcare14301493Muse Spark 1.3
LMArena Text: legal and government14611499Muse Spark 1.3
LMArena Text: business and finance14481490Muse Spark 1.3
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index18
Web design benchmarks for GPT-5.6 Terra and Muse Spark 1.3
BenchmarkGPT-5.6 TerraMuse Spark 1.3Leader
Design Arena: websites12691356Muse Spark 1.3
Design Arena: UI components12591352Muse Spark 1.3
Design Arena: game dev12301329Muse Spark 1.3
Design Arena: data viz12401343Muse Spark 1.3
Design Arena: 3D11351359Muse Spark 1.3
Design Arena: all code categories12411353Muse Spark 1.3
Design Arena: SVG12201300Muse Spark 1.3
Design Arena: ASCII art11771280Muse Spark 1.3
LiveBench design76.0%74.8%GPT-5.6 Terra
GeneralLike-for-likePublic boards, shown as published, kept out of the index125
General benchmarks for GPT-5.6 Terra and Muse Spark 1.3
BenchmarkGPT-5.6 TerraMuse Spark 1.3Leader
LiveBench data analysis79.3%79.6%Muse Spark 1.3
Public Benefits Bench (Vals AI)62.4%Not measuredOnly GPT-5.6 Terra measured
SAGE (Vals AI)47.0%Not measuredOnly GPT-5.6 Terra measured
MedScribe (Vals AI)82.9%Not measuredOnly GPT-5.6 Terra measured
Vals Multimodal Index65.1%Not measuredOnly GPT-5.6 Terra measured
IFBench71.2%Not measuredOnly GPT-5.6 Terra measured
Long context reasoning (AA-LCR)83.0%83.0%Tie
DTBench93.3%96.5%Muse Spark 1.3
LMCA54.9%53.9%GPT-5.6 Terra
Surface Evolver Bench83.8%Not measuredOnly GPT-5.6 Terra measured
Furniture assembly54.2%Not measuredOnly GPT-5.6 Terra measured
LMArena Text14481490Muse Spark 1.3
LMArena Text: instruction following14561479Muse Spark 1.3
LMArena Text: creative writing14131462Muse Spark 1.3
LMArena Vision12711308Muse Spark 1.3
LMArena Text: English14491495Muse Spark 1.3
LMArena Text: non-English14411481Muse Spark 1.3
LMArena Text: Chinese15141532Muse Spark 1.3
LMArena Text: German14601513Muse Spark 1.3
LMArena Text: Japanese14541470Muse Spark 1.3
LMArena Text: Korean14271490Muse Spark 1.3
LMArena Text: French14661511Muse Spark 1.3
LMArena Text: Spanish14511496Muse Spark 1.3
LMArena Text: Russian14521491Muse Spark 1.3
LMArena Text: Polish14461490Muse Spark 1.3
LMArena Text: multi-turn14531487Muse Spark 1.3
LMArena Text: longer queries14541488Muse Spark 1.3
LMArena Text: writing and language14311470Muse Spark 1.3
LMArena Text: entertainment and media14181457Muse Spark 1.3
LMArena Vision: English12721298Muse Spark 1.3
LMArena Vision: Chinese13371384Muse Spark 1.3
LMArena Vision: reading text12781319Muse Spark 1.3
LMArena Vision: humor12361293Muse Spark 1.3
LMArena Vision: creative writing12481296Muse Spark 1.3
LMArena Document1472Not measuredOnly GPT-5.6 Terra 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 Terra and Muse Spark 1.3
BenchmarkGPT-5.6 TerraMuse 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-5.6 Terra$0.0080Fits 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-5.6 Terra$0.136Fits 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-5.6 Terra$0.520Fits 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-5.6 Terra and Muse Spark 1.3
SpecificationOpenAI GPT-5.6 TerraMeta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedJuly 9, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$1.25
Output $/Mtok$12.00$4.25
Coding index69.079.7
Independent measurements behind it22
Cost per solved task$0.42Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.6 Terra 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 69.0 for GPT-5.6 Terra. Pick GPT-5.6 Terra when the context window is larger, 1.05M against 1.05M tokens, or when what matters is AA Coding Index or Terminal-Bench 4 (Vals AI), where it leads.

Which is cheaper, GPT-5.6 Terra or Muse Spark 1.3?

GPT-5.6 Terra costs $2.00 per million input tokens and $12.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GPT-5.6 Terra only.

Which has the bigger context window, GPT-5.6 Terra or Muse Spark 1.3?

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

How many benchmarks is the GPT-5.6 Terra vs Muse Spark 1.3 comparison based on?

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

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-6-terra-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GPT-5.6 Terra vs Muse Spark 1.3</a></p>