Noometry

Model comparison

Longcat Flash Chat vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 42.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Longcat Flash Chat scores higher in 0 categories and Muse Spark 1.3 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.3 leads 54.0 to 19.0.
  • The biggest single-benchmark swing is NYT Connections (extended): 17.7% for Longcat Flash Chat and 85.1% for Muse Spark 1.3.
  • Longcat Flash Chat has downloadable open weights; the other is API-only.

Side by side

Longcat Flash ChatMuse Spark 1.3
ProviderMeituanMeta
Noometry Index42.154.8
Released—2026-09-02
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked1937

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Category by category

Coding Muse Spark 1.3 leads

Longcat Flash Chat: 43.5 (#87), Muse Spark 1.3: 56.6 (#21)

BenchmarkLongcat Flash ChatMuse Spark 1.3
LMArena Coding14711514
CursorBench—41.6%
LMArena WebDev—1657
SciCode—59.7%

Agentic & Tool Use Not comparable

Longcat Flash Chat: —, Muse Spark 1.3: 38.6 (#30)

BenchmarkLongcat Flash ChatMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Longcat Flash Chat: 19.0 (#272), Muse Spark 1.3: 54.0 (#27)

BenchmarkLongcat Flash ChatMuse Spark 1.3
NYT Connections (extended)17.7%85.1%
LMArena Hard Prompts14401503
Kagi LLM Benchmark43.9%—
CritPt—26%
Chess Puzzles—38%
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.75

Math Muse Spark 1.3 leads

Longcat Flash Chat: 39.4 (#107), Muse Spark 1.3: 73.1 (#21)

BenchmarkLongcat Flash ChatMuse Spark 1.3
LMArena Math14421494
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%

Knowledge Muse Spark 1.3 leads

Longcat Flash Chat: 40.6 (#116), Muse Spark 1.3: 42.6 (#95)

BenchmarkLongcat Flash ChatMuse Spark 1.3
LMArena Expert14541516

Multimodal Not comparable

Longcat Flash Chat: —, Muse Spark 1.3: 43.7 (#22)

BenchmarkLongcat Flash ChatMuse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

Longcat Flash Chat: 51.9 (#101), Muse Spark 1.3: 57.4 (#8)

BenchmarkLongcat Flash ChatMuse Spark 1.3
LMArena Non-English14041481
LMArena Chinese14651529
LMArena French14561524
LMArena German14081515
LMArena Japanese13731474
LMArena Korean13711501
LMArena Russian13951490
LMArena Spanish14451490

Instruction Following Muse Spark 1.3 leads

Longcat Flash Chat: 74.4 (#96), Muse Spark 1.3: 77.5 (#22)

BenchmarkLongcat Flash ChatMuse Spark 1.3
LMArena Instruction Following14111477

Long Context Muse Spark 1.3 leads

Longcat Flash Chat: 43.5 (#93), Muse Spark 1.3: 45.6 (#32)

BenchmarkLongcat Flash ChatMuse Spark 1.3
LMArena Longer Query14251488

Writing & Preference Muse Spark 1.3 leads

Longcat Flash Chat: 61.0 (#91), Muse Spark 1.3: 73.6 (#9)

BenchmarkLongcat Flash ChatMuse Spark 1.3
LMArena Text14271490
LMArena Creative Writing13881455
LMArena Multi-Turn14181482
EQ-Bench Creative Writing—1906

Frequently asked questions

Is Longcat Flash Chat better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 42.1 on the Noometry Index.

Is Longcat Flash Chat or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 43.5 in the Noometry coding category.

How many benchmarks do Longcat Flash Chat and Muse Spark 1.3 share?

18 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Muse Spark 1.3 has 37.

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