Noometry

Model comparison

GPT-5.3 Codex vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 45.5 on the Noometry Index.

Last verified . 3 shared benchmarks.

GPT-5.3 Codex OpenAI

45.5

Rank #61 Reported

Muse Spark 1.1 Meta

49.9

Rank #43 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GPT-5.3 Codex scores higher in 1 category and Muse Spark 1.1 in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 47.8 to 33.9.
  • Muse Spark 1.1 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
  • Muse Spark 1.1 accepts more context: 1.05M tokens versus 400K.

Side by side

GPT-5.3 CodexMuse Spark 1.1
ProviderOpenAIMeta
Noometry Index45.549.9
Released2026-02-052026-04-08
WeightsProprietaryProprietary
Context window400K1.05M
Max output128K131K
Input $ / M tokens$1.75$1.25
Output $ / M tokens$14$4.25
Results tracked836

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Category by category

Coding Muse Spark 1.1 leads

GPT-5.3 Codex: 48.5 (#51), Muse Spark 1.1: 50.8 (#38)

BenchmarkGPT-5.3 CodexMuse Spark 1.1
LMArena WebDev14081542
SWE-bench Verified74.8%—
DeepSWE—53.3%
SciCode—58.8%
WeirdML79.3%—
LMArena Coding—1497
ALE-Bench1,655—

Agentic & Tool Use GPT-5.3 Codex leads

GPT-5.3 Codex: 47.8 (#9), Muse Spark 1.1: 33.9 (#45)

BenchmarkGPT-5.3 CodexMuse Spark 1.1
Vending-Bench 25,9406,520
Terminal-Bench78.4%—
τ²-bench Banking—40.5%
GBAEval—7.9%
GDP.pdf—15%
METR Time Horizons74.5%—

Reasoning Not comparable

GPT-5.3 Codex: —, Muse Spark 1.1: 45.9 (#41)

BenchmarkGPT-5.3 CodexMuse Spark 1.1
Epoch Capabilities Index156.84154.32
NYT Connections (extended)—84.9%
CritPt—15.1%
LMArena Hard Prompts—1486
DTBench—94.4%
LMCA—49.9%
Surface Evolver Bench—52.5%

Math Not comparable

GPT-5.3 Codex: —, Muse Spark 1.1: 44.0 (#67)

BenchmarkGPT-5.3 CodexMuse Spark 1.1
ProofBench—39%
LMArena Math—1477

Knowledge Not comparable

GPT-5.3 Codex: —, Muse Spark 1.1: 52.8 (#55)

BenchmarkGPT-5.3 CodexMuse Spark 1.1
SimpleQA Verified—57.8%
LMArena Expert—1480

Multimodal Not comparable

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

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

Multilingual Not comparable

GPT-5.3 Codex: —, Muse Spark 1.1: 56.8 (#16)

BenchmarkGPT-5.3 CodexMuse Spark 1.1
LMArena Non-English—1471
LMArena Chinese—1518
LMArena French—1494
LMArena German—1466
LMArena Japanese—1445
LMArena Korean—1459
LMArena Russian—1482
LMArena Spanish—1471

Instruction Following Not comparable

GPT-5.3 Codex: —, Muse Spark 1.1: 76.8 (#36)

BenchmarkGPT-5.3 CodexMuse Spark 1.1
LMArena Instruction Following—1457

Long Context Not comparable

GPT-5.3 Codex: —, Muse Spark 1.1: 44.8 (#55)

BenchmarkGPT-5.3 CodexMuse Spark 1.1
LMArena Longer Query—1463

Writing & Preference Not comparable

GPT-5.3 Codex: —, Muse Spark 1.1: 73.6 (#11)

BenchmarkGPT-5.3 CodexMuse Spark 1.1
LMArena Text—1479
LMArena Creative Writing—1440
EQ-Bench Creative Writing—1927
EQ-Bench 4—1260
LMArena Multi-Turn—1484

Frequently asked questions

Is GPT-5.3 Codex better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 45.5 on the Noometry Index.

Which is cheaper, GPT-5.3 Codex 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 Codex lists at $1.75 and $14.

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

Muse Spark 1.1 scores higher on coding benchmarks: 50.8 versus 48.5 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 400K.

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

3 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Muse Spark 1.1 has 36.

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