Noometry

Model comparison

GPT-5.3 Chat vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 42.1 on the Noometry Index.

Last verified . 16 shared benchmarks.

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Muse Spark 1.3 Meta

54.4

Rank #27 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GPT-5.3 Chat scores higher in 0 categories and Muse Spark 1.3 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Muse Spark 1.3 leads 72.4 to 35.4.
  • Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Muse Spark 1.3 accepts more context: 1.05M tokens versus 128K.

Side by side

GPT-5.3 ChatMuse Spark 1.3
ProviderOpenAIMeta
Noometry Index42.154.4
Released2026-03-032026-09-02
WeightsProprietaryProprietary
Context window128K1.05M
Max output16K131K
Input $ / M tokens$1.75$1.25
Output $ / M tokens$14$4.25
Results tracked1834

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Category by category

Coding Muse Spark 1.3 leads

GPT-5.3 Chat: 40.8 (#124), Muse Spark 1.3: 56.1 (#18)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Coding14081516
CursorBench—41.6%
LMArena WebDev—1655
SciCode—59.7%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Muse Spark 1.3: 38.6 (#28)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

GPT-5.3 Chat: 27.3 (#105), Muse Spark 1.3: 52.9 (#27)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Hard Prompts13991503
NYT Connections (extended)—85.1%
CritPt—24.9%
Chess Puzzles—38%
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.89

Math Muse Spark 1.3 leads

GPT-5.3 Chat: 35.4 (#146), Muse Spark 1.3: 72.4 (#16)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Math13891497
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%

Knowledge Muse Spark 1.3 leads

GPT-5.3 Chat: 38.2 (#137), Muse Spark 1.3: 42.0 (#92)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Expert13971516

Multimodal Not comparable

GPT-5.3 Chat: —, Muse Spark 1.3: 43.0 (#21)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Vision—1310
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

GPT-5.3 Chat: 50.5 (#119), Muse Spark 1.3: 57.8 (#6)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Non-English13831485
LMArena Chinese14331527
LMArena French13981534
LMArena Korean13471513
LMArena Russian14001491
LMArena Spanish13711485
LMArena German1384—
LMArena Japanese1351—

Instruction Following Muse Spark 1.3 leads

GPT-5.3 Chat: 73.0 (#124), Muse Spark 1.3: 77.8 (#14)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Instruction Following13781481

Long Context Muse Spark 1.3 leads

GPT-5.3 Chat: 42.6 (#115), Muse Spark 1.3: 45.7 (#29)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Longer Query13961491

Writing & Preference Muse Spark 1.3 leads

GPT-5.3 Chat: 63.3 (#65), Muse Spark 1.3: 73.7 (#10)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Text13891490
LMArena Creative Writing13561450
EQ-Bench Creative Writing16901906
LMArena Multi-Turn14131486

Frequently asked questions

Is GPT-5.3 Chat better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 42.1 on the Noometry Index.

Which is cheaper, GPT-5.3 Chat or Muse Spark 1.3?

Muse Spark 1.3 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 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 40.8 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Muse Spark 1.3 share?

16 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Muse Spark 1.3 has 34.

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