Noometry

Model comparison

GPT-5.3 Chat vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 42.8 on the Noometry Index.

Last verified . 15 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GPT-5.3 Chat scores higher in 0 categories and Muse Spark 1.2 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 28.5.
  • Muse Spark 1.2 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Muse Spark 1.2 accepts more context: 1.05M tokens versus 128K.

Side by side

GPT-5.3 ChatMuse Spark 1.2
ProviderOpenAIMeta
Noometry Index42.850.3
Released2026-03-032026-08-05
WeightsProprietaryProprietary
Context window128K1.05M
Max output16K131K
Input $ / M tokens$1.75$1.25
Output $ / M tokens$14$4.25
Results tracked1831

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Category by category

Coding Muse Spark 1.2 leads

GPT-5.3 Chat: 41.4 (#124), Muse Spark 1.2: 49.2 (#51)

BenchmarkGPT-5.3 ChatMuse Spark 1.2
LMArena Coding14081495
DeepSWE—54.9%
LMArena WebDev—1533
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Muse Spark 1.2: 29.4 (#87)

BenchmarkGPT-5.3 ChatMuse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

GPT-5.3 Chat: 28.5 (#102), Muse Spark 1.2: 51.3 (#34)

BenchmarkGPT-5.3 ChatMuse Spark 1.2
LMArena Hard Prompts13991486
SimpleBench—74.5%
NYT Connections (extended)—79.2%
CritPt—17.7%
DTBench—94.7%
LMCA—48.4%
Epoch Capabilities Index—154.87

Math Muse Spark 1.2 leads

GPT-5.3 Chat: 38.2 (#142), Muse Spark 1.2: 46.4 (#70)

BenchmarkGPT-5.3 ChatMuse Spark 1.2
LMArena Math13891471
ProofBench—43%

Knowledge Muse Spark 1.2 leads

GPT-5.3 Chat: 38.8 (#140), Muse Spark 1.2: 54.1 (#53)

BenchmarkGPT-5.3 ChatMuse Spark 1.2
LMArena Expert13971480
SimpleQA Verified—60.3%

Multimodal Not comparable

GPT-5.3 Chat: —, Muse Spark 1.2: 43.4 (#25)

BenchmarkGPT-5.3 ChatMuse Spark 1.2
LMArena Vision—1305

Multilingual Muse Spark 1.2 leads

GPT-5.3 Chat: 50.3 (#124), Muse Spark 1.2: 57.1 (#11)

BenchmarkGPT-5.3 ChatMuse Spark 1.2
LMArena Non-English13821478
LMArena Chinese14321511
LMArena French13971513
LMArena Russian14001487
LMArena Spanish13711498
LMArena German1384—
LMArena Japanese1352—
LMArena Korean1346—

Instruction Following Muse Spark 1.2 leads

GPT-5.3 Chat: 72.8 (#129), Muse Spark 1.2: 76.7 (#36)

BenchmarkGPT-5.3 ChatMuse Spark 1.2
LMArena Instruction Following13781461

Long Context Muse Spark 1.2 leads

GPT-5.3 Chat: 42.6 (#120), Muse Spark 1.2: 45.2 (#48)

BenchmarkGPT-5.3 ChatMuse Spark 1.2
LMArena Longer Query13961475

Writing & Preference Muse Spark 1.2 leads

GPT-5.3 Chat: 63.1 (#68), Muse Spark 1.2: 72.3 (#14)

BenchmarkGPT-5.3 ChatMuse Spark 1.2
LMArena Text13891482
LMArena Creative Writing13551449
EQ-Bench Creative Writing16901840
LMArena Multi-Turn14121494

Frequently asked questions

Is GPT-5.3 Chat better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 42.8 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or Muse Spark 1.2?

Muse Spark 1.2 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 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Muse Spark 1.2 share?

15 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Muse Spark 1.2 has 31.

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