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GPT-6 Astra vs Muse Spark 1.2

GPT-6 Astra leads Muse Spark 1.2 on coding, 85.1 to 55.7 on the Vibe Coding Index, and Muse Spark 1.2 costs 11.8x less per output token ($4.25 vs $50.00 per million). Updated October 22, 2026; 83 benchmarks have a result for both.

Replace GPT-6 Astra Replace Muse Spark 1.2
GPT-6 AstraOpenAI
Coding
85.1
Overall
83.0
Output $/M
$50.00
48
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
35
vs boards won of 83 shared

GPT-6 Astra or Muse Spark 1.2: which to pick

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 55.7 for Muse Spark 1.2.

Pick Muse Spark 1.2 for output tokens 11.8x cheaper ($4.25 vs $50.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Model AGPT-6 AstraOpenAI85.1/1005 independent benchmarksNo cost per solved taskModel BMuse Spark 1.2Meta55.7/1005 independent benchmarks$0.64 per solved task
Shared results
83
GPT-6 Astra only
38
Muse Spark 1.2 only
14
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 Astra 85.1 from 5 benchmarks, Muse Spark 1.2 55.7 from 5 benchmarks.
Widest category
Coding, 24.7 points apart on average over 17 shared benchmarks.
Widest single gap
IOI (Vals AI): GPT-6 Astra 100.0% against Muse Spark 1.2 21.8%, 78.2 points apart on a 0 to 100 scale.
Output price
GPT-6 Astra $50.00 against Muse Spark 1.2 $4.25 per million output tokens, 11.8x apart.
Context window
GPT-6 Astra 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-6 AstraBarsMuse Spark 1.2Ties
Coding134
Intelligence20
Agentic work123
Reasoning53
Math21
Knowledge15
Web design90
General419
All shared boards4835
CodingLike-for-likeSix of these boards feed the Vibe Coding Index134
Coding benchmarks for GPT-6 Astra and Muse Spark 1.2
BenchmarkGPT-6 AstraMuse Spark 1.2Leader
LiveBench coding93.7%78.2%GPT-6 Astra
LMArena WebDev17741534GPT-6 Astra
AA Coding Index76.972.2GPT-6 Astra
SWE-bench Verified (Vals AI)Not measured86.6%Only Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)59.6%6.1%GPT-6 Astra
Vibe Code Bench (Vals AI)89.6%79.1%GPT-6 Astra
Code migration (Vals AI)67.7%29.9%GPT-6 Astra
ProgramBench (Vals AI)5.5%0.5%GPT-6 Astra
IOI (Vals AI)100.0%21.8%GPT-6 Astra
Terminal-Bench 2.1 (Vals AI)87.3%69.7%GPT-6 Astra
SWE-bench Multimodal (Vals AI)43.3%Not measuredOnly GPT-6 Astra measured
Vibe Code Bench 1-100 (Vals AI)27.6%Not measuredOnly GPT-6 Astra measured
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)41.1%69.5%Muse Spark 1.2
SciCode56.5%57.4%Muse Spark 1.2
FrontierCode53.3%Not measuredOnly GPT-6 Astra measured
FrontierSWE65.5%12.0%GPT-6 Astra
GSO-Bench79.4%Not measuredOnly GPT-6 Astra measured
WeirdML93.3%60.3%GPT-6 Astra
MirrorCode46.7%Not measuredOnly GPT-6 Astra measured
ALE-Bench2951.3Not measuredOnly GPT-6 Astra measured
LMArena Text: coding14891505Muse Spark 1.2
LMArena Text: software and IT14741505Muse Spark 1.2
LMArena WebDev: React17981526GPT-6 Astra
LMArena WebDev: HTML17751543GPT-6 Astra
LMArena WebDev: from an image1726Not measuredOnly GPT-6 Astra measured
SciCode12.3%Not measuredOnly GPT-6 Astra measured
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-6 Astra and Muse Spark 1.2
BenchmarkGPT-6 AstraMuse Spark 1.2Leader
AA Intelligence Index52.739.6GPT-6 Astra
Epoch Capabilities Index168.8155.1GPT-6 Astra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index123
Agentic work benchmarks for GPT-6 Astra and Muse Spark 1.2
BenchmarkGPT-6 AstraMuse Spark 1.2Leader
AA Agentic Index51.043.2GPT-6 Astra
Design Arena: agents building web apps13731221GPT-6 Astra
Design Arena: agents building full-stack apps13571210GPT-6 Astra
Design Arena: agents building mobile apps13121181GPT-6 Astra
Design Arena: agents building Android appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building Godot games1348Not measuredOnly GPT-6 Astra measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1085Only Muse Spark 1.2 measured
Design Arena: PowerPoint slides12191172GPT-6 Astra
Design Arena: spreadsheets1365Not measuredOnly GPT-6 Astra measured
LiveBench research85.2%67.7%GPT-6 Astra
LiveBench browser84.0%36.0%GPT-6 Astra
LiveBench long agentic82.4%21.3%GPT-6 Astra
SREBench (Vals AI)56.9%0.0%GPT-6 Astra
Finance Agent (Vals AI)53.5%60.6%Muse Spark 1.2
Tax Agent Bench (Vals AI)20.7%32.8%Muse Spark 1.2
Legal Research Bench (Vals AI)39.4%43.8%Muse Spark 1.2
Harvey's Legal Agent Benchmark (Vals AI)7.1%Not measuredOnly GPT-6 Astra measured
Excel Modeling Benchmark (Vals AI)71.7%57.0%GPT-6 Astra
BioMysteryBench (Vals AI)79.3%64.8%GPT-6 Astra
Terminal-Bench-Science (Vals AI)62.9%Not measuredOnly GPT-6 Astra measured
Vals Science Index65.1%Not measuredOnly GPT-6 Astra measured
Time Horizon Index (Vals AI)90.5%Not measuredOnly GPT-6 Astra measured
CUA-bench (Vals AI)19.2%Not measuredOnly GPT-6 Astra measured
Robo-bench (Vals AI)23.3%Not measuredOnly GPT-6 Astra measured
APEX-Agents64.7%45.4%GPT-6 Astra
Remote Labor Index20.8%Not measuredOnly GPT-6 Astra measured
BALROG68.3%Not measuredOnly GPT-6 Astra measured
SpireClimb25.7%Not measuredOnly GPT-6 Astra measured
Vending-Bench 2$15,515Not measuredOnly GPT-6 Astra measured
Neither model has a result on the other 11 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index53
Reasoning benchmarks for GPT-6 Astra and Muse Spark 1.2
BenchmarkGPT-6 AstraMuse Spark 1.2Leader
LiveBench reasoning92.7%90.0%GPT-6 Astra
MysteryMechanism (Vals AI)53.1%Not measuredOnly GPT-6 Astra measured
MMMU Pro (Vals AI)Not measured86.1%Only Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)96.3%90.4%GPT-6 Astra
Humanity's Last Exam (Artificial Analysis run)54.7%45.5%GPT-6 Astra
GPQA Diamond (Epoch AI run)95.8%Not measuredOnly GPT-6 Astra measured
ARC-AGI98.5%Not measuredOnly GPT-6 Astra measured
ARC-AGI-295.0%Not measuredOnly GPT-6 Astra measured
SimpleBenchNot measured74.5%Only Muse Spark 1.2 measured
Chess puzzles74.0%27.0%GPT-6 Astra
Mystery game puzzles84.0%Not measuredOnly GPT-6 Astra measured
EBR-bench76.2%Not measuredOnly GPT-6 Astra measured
LMArena Text: hard prompts14631489Muse Spark 1.2
LMArena Text: expert14891475GPT-6 Astra
LMArena Text: hard prompts in English14641487Muse Spark 1.2
LMArena Vision: diagrams12971317Muse Spark 1.2
LMArena Vision: homework1337Not measuredOnly GPT-6 Astra measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for GPT-6 Astra and Muse Spark 1.2
BenchmarkGPT-6 AstraMuse Spark 1.2Leader
OTIS Mock AIME100.0%Not measuredOnly GPT-6 Astra measured
FrontierMath, tiers 1 to 393.7%Not measuredOnly GPT-6 Astra measured
FrontierMath, tier 497.6%Not measuredOnly GPT-6 Astra measured
ProofBench99.0%43.0%GPT-6 Astra
LMArena Text: math14651484Muse Spark 1.2
LMArena Text: mathematical work14841480GPT-6 Astra
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
Knowledge benchmarks for GPT-6 Astra and Muse Spark 1.2
BenchmarkGPT-6 AstraMuse Spark 1.2Leader
MMLU ProNot measured88.3%Only Muse Spark 1.2 measured
LegalBench (Vals AI)Not measured85.3%Only Muse Spark 1.2 measured
CorpFin (Vals AI)Not measured70.9%Only Muse Spark 1.2 measured
TaxEval (Vals AI)Not measured80.4%Only Muse Spark 1.2 measured
MortgageTax (Vals AI)Not measured65.4%Only Muse Spark 1.2 measured
MedCode (Vals AI)48.5%49.4%Muse Spark 1.2
SimpleQA Verified75.6%60.3%GPT-6 Astra
LMArena Text: science14511500Muse Spark 1.2
LMArena Text: medicine and healthcare14251496Muse Spark 1.2
LMArena Text: legal and government14621517Muse Spark 1.2
LMArena Text: business and finance14391484Muse Spark 1.2
FACTS Benchmark Suite75.7%Not measuredOnly GPT-6 Astra measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index90
Web design benchmarks for GPT-6 Astra and Muse Spark 1.2
BenchmarkGPT-6 AstraMuse Spark 1.2Leader
Design Arena: websites13361312GPT-6 Astra
Design Arena: UI components13931298GPT-6 Astra
Design Arena: game dev14781301GPT-6 Astra
Design Arena: data viz13351334GPT-6 Astra
Design Arena: 3D15001301GPT-6 Astra
Design Arena: all code categories13791312GPT-6 Astra
Design Arena: SVG14311284GPT-6 Astra
Design Arena: ASCII art13531284GPT-6 Astra
LiveBench design82.0%67.1%GPT-6 Astra
GeneralLike-for-likePublic boards, shown as published, kept out of the index419
General benchmarks for GPT-6 Astra and Muse Spark 1.2
BenchmarkGPT-6 AstraMuse Spark 1.2Leader
Vals Index65.0%Not measuredOnly GPT-6 Astra measured
LiveBench data analysis83.0%76.5%GPT-6 Astra
Public Benefits Bench (Vals AI)Not measured68.5%Only Muse Spark 1.2 measured
SAGE (Vals AI)46.4%47.7%Muse Spark 1.2
MedScribe (Vals AI)87.9%90.1%Muse Spark 1.2
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
Long context reasoning (AA-LCR)80.7%79.0%GPT-6 Astra
DTBench97.3%94.7%GPT-6 Astra
LMCA64.4%48.4%GPT-6 Astra
Furniture assembly80.0%Not measuredOnly GPT-6 Astra measured
LMArena Text14411482Muse Spark 1.2
LMArena Text: instruction following14551462Muse Spark 1.2
LMArena Text: creative writing14201436Muse Spark 1.2
LMArena Vision12801304Muse Spark 1.2
LMArena Text: English14471483Muse Spark 1.2
LMArena Text: non-English14321476Muse Spark 1.2
LMArena Text: Chinese14891509Muse Spark 1.2
LMArena Text: German1459Not measuredOnly GPT-6 Astra measured
LMArena Text: Japanese1405Not measuredOnly GPT-6 Astra measured
LMArena Text: Korean14281462Muse Spark 1.2
LMArena Text: French14321495Muse Spark 1.2
LMArena Text: Spanish14221484Muse Spark 1.2
LMArena Text: Russian14381483Muse Spark 1.2
LMArena Text: Polish1422Not measuredOnly GPT-6 Astra measured
LMArena Text: multi-turn14471502Muse Spark 1.2
LMArena Text: longer queries14601473Muse Spark 1.2
LMArena Text: writing and language14371453Muse Spark 1.2
LMArena Text: entertainment and media14271443Muse Spark 1.2
LMArena Vision: English12801291Muse Spark 1.2
LMArena Vision: Chinese1361Not measuredOnly GPT-6 Astra measured
LMArena Vision: reading text12921313Muse Spark 1.2
LMArena Vision: creative writing1286Not measuredOnly GPT-6 Astra measured
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 Astra and Muse Spark 1.2
BenchmarkGPT-6 AstraMuse 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-6 Astra$0.035Fits 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-6 Astra$0.650Fits 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-6 Astra$2.50Fits 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-6 Astra and Muse Spark 1.2
SpecificationOpenAI GPT-6 AstraMeta Muse Spark 1.2
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 4, 2026August 5, 2026
Context window1.05M1.05M
Input $/Mtok$10.00$1.25
Output $/Mtok$50.00$4.25
Coding index85.155.7
Independent measurements behind it55
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6 Astra better than Muse Spark 1.2 for coding?

Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 55.7 for Muse Spark 1.2. Pick Muse Spark 1.2 for output tokens 11.8x cheaper ($4.25 vs $50.00 per million) and work measured by CyberBench (Vals AI) or SciCode, where it leads.

Which is cheaper, GPT-6 Astra or Muse Spark 1.2?

GPT-6 Astra costs $10.00 per million input tokens and $50.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.2 only.

Which has the bigger context window, GPT-6 Astra or Muse Spark 1.2?

GPT-6 Astra, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-6 Astra vs Muse Spark 1.2 comparison based on?

83 benchmarks have a result for both models as of October 22, 2026. GPT-6 Astra's coding index rests on 5 independent benchmarks and Muse Spark 1.2's on 5. 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-6-astra-vs-meta-muse-spark-1-2">LLMBenchmark.ai, GPT-6 Astra vs Muse Spark 1.2</a></p>