Model comparison

GPT-4.1 nano vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 27.9 on the Noometry Index. GPT-4.1 nano costs 11× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and Muse Spark 1.2 in 10 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 8.5.
  • The biggest single-benchmark swing is SimpleQA Verified: 6% for GPT-4.1 nano and 60.3% for Muse Spark 1.2.
  • GPT-4.1 nano is cheaper at $0.10 / $0.40 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 1.05M.

Side by side

GPT-4.1 nano and Muse Spark 1.2 specifications
GPT-4.1 nanoMuse Spark 1.2
ProviderOpenAIMeta
Noometry Index27.950.3
Released2025-04-142026-08-05
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output33K131K
Input $ / M tokens$0.10$1.25
Output $ / M tokens$0.40$4.25
Results tracked3831

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Category by category

Coding Muse Spark 1.2 leads

GPT-4.1 nano: 24.1 (#330), Muse Spark 1.2: 49.2 (#51)

Coding benchmarks
BenchmarkGPT-4.1 nanoMuse Spark 1.2
SciCode25.9%56.4%
WeirdML19%60.3%
LMArena Coding13061495
DeepSWE—54.9%
Aider Polyglot8.9%—
LMArena WebDev—1533
FrontierSWE—12%

Agentic & Tool Use Muse Spark 1.2 leads

GPT-4.1 nano: 26.5 (#104), Muse Spark 1.2: 29.4 (#87)

Agentic & Tool Use benchmarks
BenchmarkGPT-4.1 nanoMuse Spark 1.2
APEX-Agents—36.4%
Berkeley Function Calling Leaderboard33%—
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

GPT-4.1 nano: 8.5 (#349), Muse Spark 1.2: 51.3 (#34)

Reasoning benchmarks
BenchmarkGPT-4.1 nanoMuse Spark 1.2
CritPt0%17.7%
LMArena Hard Prompts12861486
DTBench52.5%94.7%
LMCA5.5%48.4%
Epoch Capabilities Index129.62154.87
ARC-AGI-20%—
SimpleBench—74.5%
Kagi LLM Benchmark33.3%—
NYT Connections (extended)—79.2%
ARC-AGI-10%—

Math Muse Spark 1.2 leads

GPT-4.1 nano: 26.9 (#252), Muse Spark 1.2: 46.4 (#70)

Math benchmarks
BenchmarkGPT-4.1 nanoMuse Spark 1.2
LMArena Math12741471
OTIS Mock AIME 2024-202528.9%—
ProofBench—43%
Omni-MATH36.7%—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge Muse Spark 1.2 leads

GPT-4.1 nano: 21.8 (#273), Muse Spark 1.2: 54.1 (#53)

Knowledge benchmarks
BenchmarkGPT-4.1 nanoMuse Spark 1.2
SimpleQA Verified6%60.3%
LMArena Expert12721480
GPQA Diamond48.9%—
MMLU-Pro55%—
GPQA (HELM)50.7%—

Multimodal Muse Spark 1.2 leads

GPT-4.1 nano: 29.2 (#113), Muse Spark 1.2: 43.4 (#25)

Multimodal benchmarks
BenchmarkGPT-4.1 nanoMuse Spark 1.2
LMArena Vision10631305

Multilingual Muse Spark 1.2 leads

GPT-4.1 nano: 41.6 (#205), Muse Spark 1.2: 57.1 (#11)

Multilingual benchmarks
BenchmarkGPT-4.1 nanoMuse Spark 1.2
LMArena Non-English12601478
LMArena Chinese12701511
LMArena Russian12611487
LMArena French—1513
LMArena German1288—
LMArena Japanese1198—
LMArena Spanish—1498

Instruction Following Muse Spark 1.2 leads

GPT-4.1 nano: 67.8 (#193), Muse Spark 1.2: 76.7 (#36)

Instruction Following benchmarks
BenchmarkGPT-4.1 nanoMuse Spark 1.2
LMArena Instruction Following12671461
IFEval84.3%—

Long Context Muse Spark 1.2 leads

GPT-4.1 nano: 23.7 (#296), Muse Spark 1.2: 45.2 (#48)

Long Context benchmarks
BenchmarkGPT-4.1 nanoMuse Spark 1.2
LMArena Longer Query12831475
Fiction.LiveBench25%—

Writing & Preference Muse Spark 1.2 leads

GPT-4.1 nano: 40.5 (#243), Muse Spark 1.2: 72.3 (#14)

Writing & Preference benchmarks
BenchmarkGPT-4.1 nanoMuse Spark 1.2
LMArena Text12851482
LMArena Creative Writing12601449
EQ-Bench Creative Writing9461840
LMArena Multi-Turn12771494
WildBench81.2%—

Frequently asked questions

Is GPT-4.1 nano better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 27.9 on the Noometry Index. GPT-4.1 nano costs 11× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 nano or Muse Spark 1.2?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Is GPT-4.1 nano or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do GPT-4.1 nano and Muse Spark 1.2 share?

21 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Muse Spark 1.2 has 31.

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