Noometry

Model comparison

GPT-4.1 mini vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 33.6 on the Noometry Index. GPT-4.1 mini costs 2.9× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

Last verified . 23 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and Muse Spark 1.2 in 9 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 10.8.
  • The biggest single-benchmark swing is SimpleQA Verified: 12.7% for GPT-4.1 mini and 60.3% for Muse Spark 1.2.
  • GPT-4.1 mini is cheaper at $0.40 / $1.60 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 miniMuse Spark 1.2
ProviderOpenAIMeta
Noometry Index33.650.3
Released2025-04-142026-08-05
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output33K131K
Input $ / M tokens$0.40$1.25
Output $ / M tokens$1.60$4.25
Results tracked4731

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Category by category

Coding Muse Spark 1.2 leads

GPT-4.1 mini: 30.6 (#293), Muse Spark 1.2: 49.2 (#51)

BenchmarkGPT-4.1 miniMuse Spark 1.2
SciCode40.4%56.4%
WeirdML37.6%60.3%
LMArena Coding13671495
DeepSWE—54.9%
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
LMArena WebDev—1533
FrontierSWE—12%
BigCodeBench Instruct48.9%—
CadEval16%—

Agentic & Tool Use GPT-4.1 mini leads

GPT-4.1 mini: 33.3 (#55), Muse Spark 1.2: 29.4 (#87)

BenchmarkGPT-4.1 miniMuse Spark 1.2
APEX-Agents—36.4%
Berkeley Function Calling Leaderboard50.5%—
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

GPT-4.1 mini: 10.8 (#340), Muse Spark 1.2: 51.3 (#34)

BenchmarkGPT-4.1 miniMuse Spark 1.2
CritPt0%17.7%
LMArena Hard Prompts13491486
DTBench68.8%94.7%
LMCA21.1%48.4%
Epoch Capabilities Index135.01154.87
ARC-AGI-20%—
SimpleBench—74.5%
Kagi LLM Benchmark48.6%—
NYT Connections (extended)—79.2%
ARC-AGI-13.5%—
Chess Puzzles7%—
Mystery Game Puzzles7%—

Math Muse Spark 1.2 leads

GPT-4.1 mini: 24.1 (#270), Muse Spark 1.2: 46.4 (#70)

BenchmarkGPT-4.1 miniMuse Spark 1.2
LMArena Math13431471
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
ProofBench—43%
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge Muse Spark 1.2 leads

GPT-4.1 mini: 34.7 (#194), Muse Spark 1.2: 54.1 (#53)

BenchmarkGPT-4.1 miniMuse Spark 1.2
SimpleQA Verified12.7%60.3%
LMArena Expert13381480
GPQA Diamond65.8%—
MMLU-Pro78.3%—
GPQA (HELM)61.4%—

Multimodal Muse Spark 1.2 leads

GPT-4.1 mini: 35.8 (#82), Muse Spark 1.2: 43.4 (#25)

BenchmarkGPT-4.1 miniMuse Spark 1.2
LMArena Vision11811305

Multilingual Muse Spark 1.2 leads

GPT-4.1 mini: 45.7 (#166), Muse Spark 1.2: 57.1 (#11)

BenchmarkGPT-4.1 miniMuse Spark 1.2
LMArena Non-English13181478
LMArena Chinese13291511
LMArena French13581513
LMArena Russian13241487
LMArena Spanish13191498
LMArena German1351—
LMArena Japanese1290—
LMArena Korean1298—

Instruction Following Muse Spark 1.2 leads

GPT-4.1 mini: 73.7 (#118), Muse Spark 1.2: 76.7 (#36)

BenchmarkGPT-4.1 miniMuse Spark 1.2
LMArena Instruction Following13331461
IFEval90.4%—

Long Context Muse Spark 1.2 leads

GPT-4.1 mini: 31.8 (#275), Muse Spark 1.2: 45.2 (#48)

BenchmarkGPT-4.1 miniMuse Spark 1.2
LMArena Longer Query13441475
Fiction.LiveBench44.4%—

Writing & Preference Muse Spark 1.2 leads

GPT-4.1 mini: 48.6 (#199), Muse Spark 1.2: 72.3 (#14)

BenchmarkGPT-4.1 miniMuse Spark 1.2
LMArena Text13401482
LMArena Creative Writing13001449
EQ-Bench Creative Writing11471840
LMArena Multi-Turn13541494
WildBench83.8%—

Frequently asked questions

Is GPT-4.1 mini better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 33.6 on the Noometry Index. GPT-4.1 mini costs 2.9× 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 mini or Muse Spark 1.2?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

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

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 30.6 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 mini and Muse Spark 1.2 share?

23 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Muse Spark 1.2 has 31.

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