Model comparison

GPT-5.1-Codex-mini vs Muse Spark 1.2

Muse Spark 1.2 has enough public results to be ranked (#44); GPT-5.1-Codex-mini does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

GPT-5.1-Codex-mini OpenAI

36.9

Unranked Sparse

Muse Spark 1.2 Meta

49.8

Rank #44 Confirmed

Summary

  • They share 1 benchmark with published results for both. GPT-5.1-Codex-mini scores higher in 1 category and Muse Spark 1.2 in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Muse Spark 1.2 leads 48.6 to 31.4.
  • GPT-5.1-Codex-mini is cheaper at $0.25 / $2 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
  • Muse Spark 1.2 accepts more context: 1.05M tokens versus 400K.

Side by side

GPT-5.1-Codex-mini and Muse Spark 1.2 specifications
GPT-5.1-Codex-miniMuse Spark 1.2
ProviderOpenAIMeta
Noometry Index36.949.8
Released2025-11-122026-08-05
WeightsProprietaryProprietary
Context window400K1.05M
Max output128K131K
Input $ / M tokens$0.25$1.25
Output $ / M tokens$2$4.25
Results tracked228

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Category by category

Coding Muse Spark 1.2 leads

GPT-5.1-Codex-mini: 31.4, Muse Spark 1.2: 48.6 (#49)

Coding benchmarks
BenchmarkGPT-5.1-Codex-miniMuse Spark 1.2
LMArena WebDev12441532
DeepSWE—54.9%
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%
LMArena Coding—1497

Agentic & Tool Use GPT-5.1-Codex-mini leads

GPT-5.1-Codex-mini: 38.3, Muse Spark 1.2: 29.5 (#77)

Agentic & Tool Use benchmarks
BenchmarkGPT-5.1-Codex-miniMuse Spark 1.2
Terminal-Bench61.6%—
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Not comparable

GPT-5.1-Codex-mini: —, Muse Spark 1.2: 50.4 (#32)

Reasoning benchmarks
BenchmarkGPT-5.1-Codex-miniMuse Spark 1.2
SimpleBench—74.5%
NYT Connections (extended)—79.2%
CritPt—17.7%
LMArena Hard Prompts—1490
DTBench—94.7%
LMCA—48.4%
Epoch Capabilities Index—155.18

Math Not comparable

GPT-5.1-Codex-mini: —, Muse Spark 1.2: 43.8 (#68)

Math benchmarks
BenchmarkGPT-5.1-Codex-miniMuse Spark 1.2
ProofBench—43%

Knowledge Not comparable

GPT-5.1-Codex-mini: —, Muse Spark 1.2: 53.9 (#49)

Knowledge benchmarks
BenchmarkGPT-5.1-Codex-miniMuse Spark 1.2
SimpleQA Verified—60.3%
LMArena Expert—1485

Multimodal Not comparable

GPT-5.1-Codex-mini: —, Muse Spark 1.2: 42.6 (#24)

Multimodal benchmarks
BenchmarkGPT-5.1-Codex-miniMuse Spark 1.2
LMArena Vision—1304

Multilingual Not comparable

GPT-5.1-Codex-mini: —, Muse Spark 1.2: 57.4 (#10)

Multilingual benchmarks
BenchmarkGPT-5.1-Codex-miniMuse Spark 1.2
LMArena Non-English—1479
LMArena Chinese—1519
LMArena Russian—1494

Instruction Following Not comparable

GPT-5.1-Codex-mini: —, Muse Spark 1.2: 77.1 (#30)

Instruction Following benchmarks
BenchmarkGPT-5.1-Codex-miniMuse Spark 1.2
LMArena Instruction Following—1466

Long Context Not comparable

GPT-5.1-Codex-mini: —, Muse Spark 1.2: 45.4 (#35)

Long Context benchmarks
BenchmarkGPT-5.1-Codex-miniMuse Spark 1.2
LMArena Longer Query—1483

Writing & Preference Not comparable

GPT-5.1-Codex-mini: —, Muse Spark 1.2: 72.6 (#14)

Writing & Preference benchmarks
BenchmarkGPT-5.1-Codex-miniMuse Spark 1.2
LMArena Text—1486
LMArena Creative Writing—1444
EQ-Bench Creative Writing—1840
LMArena Multi-Turn—1504

Frequently asked questions

Is GPT-5.1-Codex-mini better than Muse Spark 1.2?

Muse Spark 1.2 has enough public results to be ranked (#44); GPT-5.1-Codex-mini does not yet, so treat this comparison as directional.

Which is cheaper, GPT-5.1-Codex-mini or Muse Spark 1.2?

GPT-5.1-Codex-mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Is GPT-5.1-Codex-mini or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 31.4 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 400K.

How many benchmarks do GPT-5.1-Codex-mini and Muse Spark 1.2 share?

1 benchmark has published results for both models. GPT-5.1-Codex-mini has 2 scored results on Noometry and Muse Spark 1.2 has 28.

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