Noometry

Model comparison

GPT-5.3 Chat vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 42.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Muse Spark 1.1 Meta

49.9

Rank #43 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-5.3 Chat scores higher in 0 categories and Muse Spark 1.1 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.1 leads 45.9 to 27.3.
  • Muse Spark 1.1 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Muse Spark 1.1 accepts more context: 1.05M tokens versus 128K.

Side by side

GPT-5.3 ChatMuse Spark 1.1
ProviderOpenAIMeta
Noometry Index42.149.9
Released2026-03-032026-04-08
WeightsProprietaryProprietary
Context window128K1.05M
Max output16K131K
Input $ / M tokens$1.75$1.25
Output $ / M tokens$14$4.25
Results tracked1836

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Category by category

Coding Muse Spark 1.1 leads

GPT-5.3 Chat: 40.8 (#124), Muse Spark 1.1: 50.8 (#38)

BenchmarkGPT-5.3 ChatMuse Spark 1.1
LMArena Coding14081497
DeepSWE—53.3%
LMArena WebDev—1542
SciCode—58.8%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Muse Spark 1.1: 33.9 (#45)

BenchmarkGPT-5.3 ChatMuse Spark 1.1
τ²-bench Banking—40.5%
GBAEval—7.9%
GDP.pdf—15%
Vending-Bench 2—6,520

Reasoning Muse Spark 1.1 leads

GPT-5.3 Chat: 27.3 (#105), Muse Spark 1.1: 45.9 (#41)

BenchmarkGPT-5.3 ChatMuse Spark 1.1
LMArena Hard Prompts13991486
NYT Connections (extended)—84.9%
CritPt—15.1%
DTBench—94.4%
LMCA—49.9%
Surface Evolver Bench—52.5%
Epoch Capabilities Index—154.32

Math Muse Spark 1.1 leads

GPT-5.3 Chat: 35.4 (#146), Muse Spark 1.1: 44.0 (#67)

BenchmarkGPT-5.3 ChatMuse Spark 1.1
LMArena Math13891477
ProofBench—39%

Knowledge Muse Spark 1.1 leads

GPT-5.3 Chat: 38.2 (#137), Muse Spark 1.1: 52.8 (#55)

BenchmarkGPT-5.3 ChatMuse Spark 1.1
LMArena Expert13971480
SimpleQA Verified—57.8%

Multimodal Not comparable

GPT-5.3 Chat: —, Muse Spark 1.1: 41.9 (#28)

BenchmarkGPT-5.3 ChatMuse Spark 1.1
LMArena Vision—1292
LMArena Document—1465

Multilingual Muse Spark 1.1 leads

GPT-5.3 Chat: 50.5 (#119), Muse Spark 1.1: 56.8 (#16)

BenchmarkGPT-5.3 ChatMuse Spark 1.1
LMArena Non-English13831471
LMArena Chinese14331518
LMArena French13981494
LMArena German13841466
LMArena Japanese13511445
LMArena Korean13471459
LMArena Russian14001482
LMArena Spanish13711471

Instruction Following Muse Spark 1.1 leads

GPT-5.3 Chat: 73.0 (#124), Muse Spark 1.1: 76.8 (#36)

BenchmarkGPT-5.3 ChatMuse Spark 1.1
LMArena Instruction Following13781457

Long Context Muse Spark 1.1 leads

GPT-5.3 Chat: 42.6 (#115), Muse Spark 1.1: 44.8 (#55)

BenchmarkGPT-5.3 ChatMuse Spark 1.1
LMArena Longer Query13961463

Writing & Preference Muse Spark 1.1 leads

GPT-5.3 Chat: 63.3 (#65), Muse Spark 1.1: 73.6 (#11)

BenchmarkGPT-5.3 ChatMuse Spark 1.1
LMArena Text13891479
LMArena Creative Writing13561440
EQ-Bench Creative Writing16901927
LMArena Multi-Turn14131484
EQ-Bench 4—1260

Frequently asked questions

Is GPT-5.3 Chat better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 42.1 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or Muse Spark 1.1?

Muse Spark 1.1 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 50.8 versus 40.8 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Muse Spark 1.1 share?

18 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Muse Spark 1.1 has 36.

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