Noometry

Model comparison

Muse Spark vs Trinity Large Thinking

Muse Spark is the stronger model overall, scoring 50.6 to 38.6 on the Noometry Index.

Last verified . 18 shared benchmarks.

Muse Spark Meta

50.6

Rank #46 Confirmed

Trinity Large Thinking Arcee AI

38.6

Rank #185 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Muse Spark scores higher in 8 categories and Trinity Large Thinking in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark leads 65.7 to 40.9.
  • The biggest single-benchmark swing is SciCode: 51.5% for Muse Spark and 36.1% for Trinity Large Thinking.
  • Trinity Large Thinking has downloadable open weights; the other is API-only.

Side by side

Muse SparkTrinity Large Thinking
ProviderMetaArcee AI
Noometry Index50.638.6
Released2026-04-082026-04-01
WeightsProprietaryOpen
Context window—262K
Max output—80K
Input $ / M tokens—$0.25
Output $ / M tokens—$0.80
Results tracked2724

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Category by category

Coding Muse Spark leads

Muse Spark: 46.2 (#69), Trinity Large Thinking: 34.1 (#244)

BenchmarkMuse SparkTrinity Large Thinking
SciCode51.5%36.1%
LMArena Coding14811381
LMArena WebDev—1238

Reasoning Muse Spark leads

Muse Spark: 35.9 (#67), Trinity Large Thinking: 16.9 (#298)

BenchmarkMuse SparkTrinity Large Thinking
CritPt11.3%0.9%
LMArena Hard Prompts14741350
NYT Connections (extended)—16.5%
Thematic Generalization—41.6%
Surface Evolver Bench—15.6%
Epoch Capabilities Index152.04—

Math Muse Spark leads

Muse Spark: 47.8 (#66), Trinity Large Thinking: 37.6 (#149)

BenchmarkMuse SparkTrinity Large Thinking
LMArena Math14551366
OTIS Mock AIME 2024-202588.9%—
ProofBench17%—
FrontierMath (Feb 2025 set)39%—
FrontierMath Tier 4 (v1)14.6%—

Knowledge Muse Spark leads

Muse Spark: 65.7 (#13), Trinity Large Thinking: 40.9 (#113)

BenchmarkMuse SparkTrinity Large Thinking
LMArena Expert14571360
GPQA Diamond89.8%—
Humanity's Last Exam40.6%—
Vectara Hallucination Rate—6.9%

Multimodal Not comparable

Muse Spark: 43.4 (#24), Trinity Large Thinking: —

BenchmarkMuse SparkTrinity Large Thinking
LMArena Vision1306—
LMArena Document1444—

Multilingual Muse Spark leads

Muse Spark: 56.1 (#24), Trinity Large Thinking: 46.2 (#160)

BenchmarkMuse SparkTrinity Large Thinking
LMArena Non-English14641325
LMArena Chinese15091373
LMArena French14971374
LMArena German14971356
LMArena Korean14591306
LMArena Russian14661337
LMArena Spanish14721357
LMArena Japanese—1311

Instruction Following Muse Spark leads

Muse Spark: 75.9 (#51), Trinity Large Thinking: 70.5 (#162)

BenchmarkMuse SparkTrinity Large Thinking
LMArena Instruction Following14421334

Long Context Muse Spark leads

Muse Spark: 44.4 (#69), Trinity Large Thinking: 41.3 (#144)

BenchmarkMuse SparkTrinity Large Thinking
LMArena Longer Query14511355

Writing & Preference Muse Spark leads

Muse Spark: 66.0 (#39), Trinity Large Thinking: 53.8 (#158)

BenchmarkMuse SparkTrinity Large Thinking
LMArena Text14741340
LMArena Creative Writing14591320
LMArena Multi-Turn14771342

Frequently asked questions

Is Muse Spark better than Trinity Large Thinking?

Muse Spark is the stronger model overall, scoring 50.6 to 38.6 on the Noometry Index.

Is Muse Spark or Trinity Large Thinking better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 34.1 in the Noometry coding category.

How many benchmarks do Muse Spark and Trinity Large Thinking share?

18 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Trinity Large Thinking has 24.

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