Noometry

Model comparison

GPT-6.1 Sol vs Muse Spark 1.3

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 54.8 on the Noometry Index. Muse Spark 1.3 costs 2.0× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified . 26 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 26 benchmarks with published results for both. GPT-6.1 Sol scores higher in 6 categories and Muse Spark 1.3 in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-6.1 Sol leads 71.8 to 42.6.
  • The biggest single-benchmark swing is Mystery Game Puzzles: 80% for GPT-6.1 Sol and 25% for Muse Spark 1.3.
  • 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 Index65.654.8
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 tracked3437

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Muse Spark 1.3: 56.6 (#21)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena WebDev17551657
SciCode55.8%59.7%
LMArena Coding14871514
DeepSWE75.2%—
FrontierCode50.2%—
CursorBench—41.6%

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 39.6 (#26), Muse Spark 1.3: 38.6 (#30)

BenchmarkGPT-6.1 SolMuse Spark 1.3
APEX-Agents60%57.8%
GDP.pdf32%27.6%

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Muse Spark 1.3: 54.0 (#27)

BenchmarkGPT-6.1 SolMuse Spark 1.3
NYT Connections (extended)95.5%85.1%
CritPt31.7%26%
Chess Puzzles61%38%
LMArena Hard Prompts14661503
Mystery Game Puzzles80%25%
Epoch Capabilities Index166.09156.75
ARC-AGI-294.2%—
ARC-AGI-198.5%—
EBR-Bench54.3%—
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Muse Spark 1.3: 73.1 (#21)

BenchmarkGPT-6.1 SolMuse Spark 1.3
FrontierMath (Tiers 1-3)93.7%74.4%
FrontierMath Tier 4100%46.3%
OTIS Mock AIME 2024-2025100%99.2%
ProofBench99%58%
LMArena Math14641494

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Muse Spark 1.3: 42.6 (#95)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Expert15021516
GPQA Diamond95.4%—
SimpleQA Verified73.9%—

Multimodal GPT-6.1 Sol leads

GPT-6.1 Sol: 52.7 (#5), Muse Spark 1.3: 43.7 (#22)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Vision12881309
Furniture Assembly80%—
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

GPT-6.1 Sol: 54.3 (#46), Muse Spark 1.3: 57.4 (#8)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Non-English14381481
LMArena Chinese14771529
LMArena Russian14551490
LMArena French—1524
LMArena German—1515
LMArena Japanese—1474
LMArena Korean—1501
LMArena Spanish—1490

Instruction Following Too close to call

GPT-6.1 Sol: 77.0 (#29), Muse Spark 1.3: 77.5 (#22)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Instruction Following14681477

Long Context Too close to call

GPT-6.1 Sol: 44.9 (#54), Muse Spark 1.3: 45.6 (#32)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Longer Query14651488

Writing & Preference Muse Spark 1.3 leads

GPT-6.1 Sol: 63.6 (#63), Muse Spark 1.3: 73.6 (#9)

BenchmarkGPT-6.1 SolMuse Spark 1.3
LMArena Text14471490
LMArena Creative Writing14321455
LMArena Multi-Turn14491482
EQ-Bench Creative Writing—1906

Frequently asked questions

Is GPT-6.1 Sol better than Muse Spark 1.3?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 54.8 on the Noometry Index. Muse Spark 1.3 costs 2.0× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

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?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 56.6 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?

26 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Muse Spark 1.3 has 37.

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