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GPT-5.2 vs Muse Spark 1.3

Muse Spark 1.3 leads GPT-5.2 on coding, 57.4 to 55.9 on the Vibe Coding Index, and Muse Spark 1.3 costs 3.3x less per output token ($4.25 vs $14.00 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Replace GPT-5.2 Replace Muse Spark 1.3
GPT-5.2OpenAI
Coding
55.9
Overall
60.7
Output $/M
$14.00
1
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
64
vs boards won of 65 shared

GPT-5.2 or Muse Spark 1.3: which to pick

GPT-5.2 and Muse Spark 1.3 are level for coding, 55.9 against 57.4 on the Vibe Coding Index, so price and context decide.

Pick GPT-5.2 for work measured by Chess puzzles, where it leads. Pick Muse Spark 1.3 for output tokens 3.3x cheaper ($4.25 vs $14.00 per million) and a larger context window (1.05M against 400K tokens).

Model AGPT-5.2OpenAI55.9/1003 independent benchmarks$1.91 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
65
GPT-5.2 only
49
Muse Spark 1.3 only
27
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-5.2 55.9 from 3 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Coding, 21.7 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: GPT-5.2 15.0% against Muse Spark 1.3 58.0%, 43.0 points apart on a 0 to 100 scale.
Output price
GPT-5.2 $14.00 against Muse Spark 1.3 $4.25 per million output tokens, 3.3x apart.
Context window
GPT-5.2 takes 400K 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-5.2BarsMuse Spark 1.3Ties
Coding06
Intelligence02
Agentic work04
Reasoning18
Math06
Knowledge04
Web design08
General026
All shared boards164
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for GPT-5.2 and Muse Spark 1.3
BenchmarkGPT-5.2Muse Spark 1.3Leader
SWE-bench Verified72.8%Not measuredOnly GPT-5.2 measured
SWE-bench Multilingual66.7%Not measuredOnly GPT-5.2 measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDev14171659Muse Spark 1.3
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
LiveCodeBench (Vals AI)85.4%Not measuredOnly GPT-5.2 measured
SWE-bench Verified (Vals AI)75.8%Not measuredOnly GPT-5.2 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)53.5%82.9%Muse Spark 1.3
Code migration (Vals AI)Not measured27.6%Only Muse Spark 1.3 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.3 measured
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
LiveCodeBench (Artificial Analysis run)89.4%Not measuredOnly GPT-5.2 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly GPT-5.2 measured
Terminal-Bench64.9%Not measuredOnly GPT-5.2 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
GSO-Bench27.5%Not measuredOnly GPT-5.2 measured
WeirdML72.2%Not measuredOnly GPT-5.2 measured
ALE-Bench1293.51688.3Muse Spark 1.3
LMArena Text: coding14421510Muse Spark 1.3
LMArena Text: software and IT14341511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTML14271653Muse Spark 1.3
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 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-5.2 and Muse Spark 1.3
BenchmarkGPT-5.2Muse Spark 1.3Leader
AA Intelligence Index30.448.1Muse Spark 1.3
Epoch Capabilities Index153.7157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for GPT-5.2 and Muse Spark 1.3
BenchmarkGPT-5.2Muse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web apps10861297Muse Spark 1.3
Design Arena: agents building full-stack apps10431295Muse Spark 1.3
Design Arena: agents building mobile apps10931218Muse Spark 1.3
Design Arena: agents building Android apps1059Not measuredOnly GPT-5.2 measured
Design Arena: agents building Godot games11421241Muse Spark 1.3
Design Arena: PowerPoint slidesNot measured1219Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1062Only Muse Spark 1.3 measured
LiveBench researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)Not measured40.9%Only Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
τ²-Bench Telecom84.8%Not measuredOnly GPT-5.2 measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
METR time horizons75.3%Not measuredOnly GPT-5.2 measured
Remote Labor Index2.5%Not measuredOnly GPT-5.2 measured
GDPval49.7%Not measuredOnly GPT-5.2 measured
DeepResearch Bench41.1%Not measuredOnly GPT-5.2 measured
Vending-Bench 2$3,591Not measuredOnly GPT-5.2 measured
Berkeley Function Calling Leaderboard (BFCL)55.9%Not measuredOnly GPT-5.2 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index18
Reasoning benchmarks for GPT-5.2 and Muse Spark 1.3
BenchmarkGPT-5.2Muse Spark 1.3Leader
GPQA Diamond91.7%Not measuredOnly GPT-5.2 measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
MMMU Pro (Vals AI)86.7%Not measuredOnly GPT-5.2 measured
GPQA Diamond (Artificial Analysis run)90.3%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)37.7%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)91.4%Not measuredOnly GPT-5.2 measured
ARC-AGI86.2%Not measuredOnly GPT-5.2 measured
ARC-AGI-252.9%Not measuredOnly GPT-5.2 measured
SimpleBench45.8%Not measuredOnly GPT-5.2 measured
Chess puzzles48.0%37.0%GPT-5.2
Mystery game puzzles23.0%25.0%Muse Spark 1.3
EBR-bench23.0%Not measuredOnly GPT-5.2 measured
VPCT84.0%Not measuredOnly GPT-5.2 measured
LMArena Text: hard prompts14281503Muse Spark 1.3
LMArena Text: expert14451519Muse Spark 1.3
LMArena Text: hard prompts in English14311500Muse Spark 1.3
LMArena Vision: diagrams12651330Muse Spark 1.3
LMArena Vision: homework12761296Muse Spark 1.3
Kagi LLM Benchmark73.3%Not measuredOnly GPT-5.2 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for GPT-5.2 and Muse Spark 1.3
BenchmarkGPT-5.2Muse Spark 1.3Leader
AIME96.9%Not measuredOnly GPT-5.2 measured
MGSM (Vals AI)94.0%Not measuredOnly GPT-5.2 measured
AA Math Index99.0Not measuredOnly GPT-5.2 measured
AIME 2025 (Artificial Analysis run)99.0%Not measuredOnly GPT-5.2 measured
OTIS Mock AIME96.1%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 367.4%74.4%Muse Spark 1.3
FrontierMath, tier 431.7%46.3%Muse Spark 1.3
ProofBench15.0%58.0%Muse Spark 1.3
LMArena Text: math14401497Muse Spark 1.3
LMArena Text: mathematical work14421491Muse Spark 1.3
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5.2 and Muse Spark 1.3
BenchmarkGPT-5.2Muse Spark 1.3Leader
MMLU Pro86.2%Not measuredOnly GPT-5.2 measured
LegalBench (Vals AI)82.8%Not measuredOnly GPT-5.2 measured
CaseLaw (Vals AI)66.0%Not measuredOnly GPT-5.2 measured
CorpFin (Vals AI)65.9%Not measuredOnly GPT-5.2 measured
TaxEval (Vals AI)75.8%Not measuredOnly GPT-5.2 measured
MortgageTax (Vals AI)67.1%Not measuredOnly GPT-5.2 measured
MedQA (Vals AI)94.1%Not measuredOnly GPT-5.2 measured
MedCode (Vals AI)49.8%Not measuredOnly GPT-5.2 measured
MMLU Pro (Artificial Analysis run)87.4%Not measuredOnly GPT-5.2 measured
SimpleQA Verified37.1%Not measuredOnly GPT-5.2 measured
LMArena Text: science14251507Muse Spark 1.3
LMArena Text: medicine and healthcare14251493Muse Spark 1.3
LMArena Text: legal and government14271499Muse Spark 1.3
LMArena Text: business and finance14141490Muse Spark 1.3
FACTS Benchmark Suite48.5%Not measuredOnly GPT-5.2 measured
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-5.2 and Muse Spark 1.3
BenchmarkGPT-5.2Muse Spark 1.3Leader
Design Arena: websites11951356Muse Spark 1.3
Design Arena: UI components11901349Muse Spark 1.3
Design Arena: game dev11951328Muse Spark 1.3
Design Arena: data viz12021343Muse Spark 1.3
Design Arena: 3D10791358Muse Spark 1.3
Design Arena: all code categories11701352Muse Spark 1.3
Design Arena: SVG11391301Muse Spark 1.3
Design Arena: ASCII art11521278Muse Spark 1.3
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
General benchmarks for GPT-5.2 and Muse Spark 1.3
BenchmarkGPT-5.2Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
SAGE (Vals AI)49.3%Not measuredOnly GPT-5.2 measured
MedScribe (Vals AI)84.4%Not measuredOnly GPT-5.2 measured
IFBench75.4%Not measuredOnly GPT-5.2 measured
Long context reasoning (AA-LCR)82.7%83.0%Muse Spark 1.3
DTBench90.9%96.5%Muse Spark 1.3
LMCA43.9%53.9%Muse Spark 1.3
CL-bench18.2%Not measuredOnly GPT-5.2 measured
Furniture assembly38.3%Not measuredOnly GPT-5.2 measured
LMArena Text14161490Muse Spark 1.3
LMArena Text: instruction following14091479Muse Spark 1.3
LMArena Text: creative writing13761462Muse Spark 1.3
LMArena Vision12461308Muse Spark 1.3
LMArena Text: English14221495Muse Spark 1.3
LMArena Text: non-English14051481Muse Spark 1.3
LMArena Text: Chinese14471532Muse Spark 1.3
LMArena Text: German14441513Muse Spark 1.3
LMArena Text: Japanese14201470Muse Spark 1.3
LMArena Text: Korean13741490Muse Spark 1.3
LMArena Text: French14541511Muse Spark 1.3
LMArena Text: Spanish14131496Muse Spark 1.3
LMArena Text: Russian14151491Muse Spark 1.3
LMArena Text: Polish14261490Muse Spark 1.3
LMArena Text: multi-turn14191487Muse Spark 1.3
LMArena Text: longer queries14131488Muse Spark 1.3
LMArena Text: writing and language13921470Muse Spark 1.3
LMArena Text: entertainment and media13781457Muse Spark 1.3
LMArena Vision: English12431298Muse Spark 1.3
LMArena Vision: Chinese13051384Muse Spark 1.3
LMArena Vision: reading text12571319Muse Spark 1.3
LMArena Vision: humor12271293Muse Spark 1.3
LMArena Vision: captioning1267Not measuredOnly GPT-5.2 measured
LMArena Vision: recognizing things1232Not measuredOnly GPT-5.2 measured
LMArena Vision: creative writing12251296Muse Spark 1.3
LMArena Document1405Not measuredOnly GPT-5.2 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-5.2 and Muse Spark 1.3
BenchmarkGPT-5.2Muse 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-5.2$0.0088Fits 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-5.2$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-5.2$0.490Fits 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-5.2 and Muse Spark 1.3
SpecificationOpenAI GPT-5.2Meta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedDecember 10, 2025September 2, 2026
Context window400K1.05M
Input $/Mtok$1.75$1.25
Output $/Mtok$14.00$4.25
Coding index55.957.4
Independent measurements behind it34
Cost per solved task$1.91Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.2 better than Muse Spark 1.3 for coding?

GPT-5.2 and Muse Spark 1.3 are level for coding, 55.9 against 57.4 on the Vibe Coding Index, so price and context decide. Pick GPT-5.2 for work measured by Chess puzzles, where it leads. Pick Muse Spark 1.3 for output tokens 3.3x cheaper ($4.25 vs $14.00 per million) and a larger context window (1.05M against 400K tokens).

Which is cheaper, GPT-5.2 or Muse Spark 1.3?

GPT-5.2 costs $1.75 per million input tokens and $14.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for GPT-5.2 only.

Which has the bigger context window, GPT-5.2 or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5.2 vs Muse Spark 1.3 comparison based on?

65 benchmarks have a result for both models as of October 22, 2026. GPT-5.2's coding index rests on 3 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-2-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GPT-5.2 vs Muse Spark 1.3</a></p>