Noometry

Model comparison

GPT-6.1 Sol vs Muse Spark 1.3

Muse Spark 1.3 has enough public results to be ranked (#27); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

GPT-6.1 Sol OpenAI

42.1

Unranked Sparse

Muse Spark 1.3 Meta

54.4

Rank #27 Confirmed

Summary

  • They share 1 benchmark with published results for both. GPT-6.1 Sol scores higher in 0 categories and Muse Spark 1.3 in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Muse Spark 1.3 leads 56.1 to 51.4.
  • Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 1.05M.

Side by side

GPT-6.1 SolMuse Spark 1.3
ProviderOpenAIMeta
Noometry Index42.154.4
Released2026-09-292026-09-02
WeightsProprietaryProprietary
Context window1.05M1.05M
Max output128K131K
Input $ / M tokens$2$1.25
Output $ / M tokens$10$4.25
Results tracked234

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Category by category

Coding Muse Spark 1.3 leads

GPT-6.1 Sol: 51.4, Muse Spark 1.3: 56.1 (#18)

BenchmarkGPT-6.1 SolMuse Spark 1.3
DeepSWE75.2%—
CursorBench—41.6%
LMArena WebDev—1655
SciCode—59.7%
LMArena Coding—1516

Agentic & Tool Use Muse Spark 1.3 leads

GPT-6.1 Sol: 34.3, Muse Spark 1.3: 38.6 (#28)

BenchmarkGPT-6.1 SolMuse Spark 1.3
GDP.pdf32%27.6%
APEX-Agents—57.8%

Reasoning Not comparable

GPT-6.1 Sol: —, Muse Spark 1.3: 52.9 (#27)

BenchmarkGPT-6.1 SolMuse Spark 1.3
NYT Connections (extended)—85.1%
CritPt—24.9%
Chess Puzzles—38%
LMArena Hard Prompts—1503
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.89

Math Not comparable

GPT-6.1 Sol: —, Muse Spark 1.3: 72.4 (#16)

BenchmarkGPT-6.1 SolMuse Spark 1.3
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
LMArena Math—1497

Knowledge Not comparable

GPT-6.1 Sol: —, Muse Spark 1.3: 42.0 (#92)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Expert—1516

Multimodal Not comparable

GPT-6.1 Sol: —, Muse Spark 1.3: 43.0 (#21)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Vision—1310
LMArena Document—1471

Multilingual Not comparable

GPT-6.1 Sol: —, Muse Spark 1.3: 57.8 (#6)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Non-English—1485
LMArena Chinese—1527
LMArena French—1534
LMArena Korean—1513
LMArena Russian—1491
LMArena Spanish—1485

Instruction Following Not comparable

GPT-6.1 Sol: —, Muse Spark 1.3: 77.8 (#14)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Instruction Following—1481

Long Context Not comparable

GPT-6.1 Sol: —, Muse Spark 1.3: 45.7 (#29)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Longer Query—1491

Writing & Preference Not comparable

GPT-6.1 Sol: —, Muse Spark 1.3: 73.7 (#10)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Text—1490
LMArena Creative Writing—1450
EQ-Bench Creative Writing—1906
LMArena Multi-Turn—1486

Frequently asked questions

Is GPT-6.1 Sol better than Muse Spark 1.3?

Muse Spark 1.3 has enough public results to be ranked (#27); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Which is cheaper, GPT-6.1 Sol or Muse Spark 1.3?

Muse Spark 1.3 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 51.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 1.05M.

How many benchmarks do GPT-6.1 Sol and Muse Spark 1.3 share?

1 benchmark has published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Muse Spark 1.3 has 34.

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