Noometry

Model comparison

GPT-5.3 Chat vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 42.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 18 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 73.1 to 38.2.
  • 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 Index42.854.8
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 tracked1837

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Category by category

Coding Muse Spark 1.3 leads

GPT-5.3 Chat: 41.4 (#124), Muse Spark 1.3: 56.6 (#21)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Coding14081514
CursorBench—41.6%
LMArena WebDev—1657
SciCode—59.7%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Muse Spark 1.3: 38.6 (#30)

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: 28.5 (#102), Muse Spark 1.3: 54.0 (#27)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Hard Prompts13991503
NYT Connections (extended)—85.1%
CritPt—26%
Chess Puzzles—38%
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.75

Math Muse Spark 1.3 leads

GPT-5.3 Chat: 38.2 (#142), Muse Spark 1.3: 73.1 (#21)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Math13891494
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%

Knowledge Muse Spark 1.3 leads

GPT-5.3 Chat: 38.8 (#140), Muse Spark 1.3: 42.6 (#95)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Expert13971516

Multimodal Not comparable

GPT-5.3 Chat: —, Muse Spark 1.3: 43.7 (#22)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

GPT-5.3 Chat: 50.3 (#124), Muse Spark 1.3: 57.4 (#8)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Non-English13821481
LMArena Chinese14321529
LMArena French13971524
LMArena German13841515
LMArena Japanese13521474
LMArena Korean13461501
LMArena Russian14001490
LMArena Spanish13711490

Instruction Following Muse Spark 1.3 leads

GPT-5.3 Chat: 72.8 (#129), Muse Spark 1.3: 77.5 (#22)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Instruction Following13781477

Long Context Muse Spark 1.3 leads

GPT-5.3 Chat: 42.6 (#120), Muse Spark 1.3: 45.6 (#32)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Longer Query13961488

Writing & Preference Muse Spark 1.3 leads

GPT-5.3 Chat: 63.1 (#68), Muse Spark 1.3: 73.6 (#9)

BenchmarkGPT-5.3 ChatMuse Spark 1.3
LMArena Text13891490
LMArena Creative Writing13551455
EQ-Bench Creative Writing16901906
LMArena Multi-Turn14121482

Frequently asked questions

Is GPT-5.3 Chat better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 42.8 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: 56.6 versus 41.4 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?

18 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Muse Spark 1.3 has 37.

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