Noometry

Model comparison

GPT-5-Codex vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.3 on the Noometry Index.

Last verified . 0 shared benchmarks.

GPT-5-Codex OpenAI

37.3

Rank #190 Reported

Muse Spark 1.1 Meta

49.9

Rank #43 Confirmed

Summary

  • The widest gap is in reasoning, where Muse Spark 1.1 leads 45.9 to 30.0.
  • Muse Spark 1.1 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
  • Muse Spark 1.1 accepts more context: 1.05M tokens versus 400K.

Side by side

GPT-5-CodexMuse Spark 1.1
ProviderOpenAIMeta
Noometry Index37.349.9
Released2025-09-152026-04-08
WeightsProprietaryProprietary
Context window400K1.05M
Max output128K131K
Input $ / M tokens$1.25$1.25
Output $ / M tokens$10$4.25
Results tracked336

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Category by category

Coding Muse Spark 1.1 leads

GPT-5-Codex: 41.9 (#100), Muse Spark 1.1: 50.8 (#38)

BenchmarkGPT-5-CodexMuse Spark 1.1
DeepSWE—53.3%
LMArena WebDev—1542
SciCode—58.8%
WeirdML54.5%—
LMArena Coding—1497

Agentic & Tool Use Muse Spark 1.1 leads

GPT-5-Codex: 30.8 (#66), Muse Spark 1.1: 33.9 (#45)

BenchmarkGPT-5-CodexMuse Spark 1.1
Terminal-Bench44.3%—
τ²-bench Banking—40.5%
GBAEval—7.9%
GDP.pdf—15%
Vending-Bench 2—6,520

Reasoning Muse Spark 1.1 leads

GPT-5-Codex: 30.0 (#80), Muse Spark 1.1: 45.9 (#41)

BenchmarkGPT-5-CodexMuse Spark 1.1
Kagi LLM Benchmark70.3%—
NYT Connections (extended)—84.9%
CritPt—15.1%
LMArena Hard Prompts—1486
DTBench—94.4%
LMCA—49.9%
Surface Evolver Bench—52.5%
Epoch Capabilities Index—154.32

Math Not comparable

GPT-5-Codex: —, Muse Spark 1.1: 44.0 (#67)

BenchmarkGPT-5-CodexMuse Spark 1.1
ProofBench—39%
LMArena Math—1477

Knowledge Not comparable

GPT-5-Codex: —, Muse Spark 1.1: 52.8 (#55)

BenchmarkGPT-5-CodexMuse Spark 1.1
SimpleQA Verified—57.8%
LMArena Expert—1480

Multimodal Not comparable

GPT-5-Codex: —, Muse Spark 1.1: 41.9 (#28)

BenchmarkGPT-5-CodexMuse Spark 1.1
LMArena Vision—1292
LMArena Document—1465

Multilingual Not comparable

GPT-5-Codex: —, Muse Spark 1.1: 56.8 (#16)

BenchmarkGPT-5-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-Codex: —, Muse Spark 1.1: 76.8 (#36)

BenchmarkGPT-5-CodexMuse Spark 1.1
LMArena Instruction Following—1457

Long Context Not comparable

GPT-5-Codex: —, Muse Spark 1.1: 44.8 (#55)

BenchmarkGPT-5-CodexMuse Spark 1.1
LMArena Longer Query—1463

Writing & Preference Not comparable

GPT-5-Codex: —, Muse Spark 1.1: 73.6 (#11)

BenchmarkGPT-5-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-Codex better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 37.3 on the Noometry Index.

Which is cheaper, GPT-5-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-Codex lists at $1.25 and $10.

Is GPT-5-Codex or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 50.8 versus 41.9 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-Codex and Muse Spark 1.1 share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Muse Spark 1.1 has 36.

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