Noometry

Model comparison

Longcat Flash Chat vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 42.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Muse Spark 1.1 Meta

49.9

Rank #51 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Longcat Flash Chat scores higher in 0 categories and Muse Spark 1.1 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.1 leads 47.1 to 19.0.
  • The biggest single-benchmark swing is NYT Connections (extended): 17.7% for Longcat Flash Chat and 84.9% for Muse Spark 1.1.
  • Longcat Flash Chat has downloadable open weights; the other is API-only.

Side by side

Longcat Flash ChatMuse Spark 1.1
ProviderMeituanMeta
Noometry Index42.149.9
Released—2026-04-08
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 1.1 leads

Longcat Flash Chat: 43.5 (#87), Muse Spark 1.1: 51.3 (#40)

BenchmarkLongcat Flash ChatMuse Spark 1.1
LMArena Coding14711498
DeepSWE—53.3%
LMArena WebDev—1542
SciCode—58.8%

Agentic & Tool Use Not comparable

Longcat Flash Chat: —, Muse Spark 1.1: 30.8 (#73)

BenchmarkLongcat Flash ChatMuse Spark 1.1
APEX-Agents—31.8%
τ²-bench Banking—40.5%
GBAEval—7.9%
GDP.pdf—15%
Vending-Bench 2—6,520

Reasoning Muse Spark 1.1 leads

Longcat Flash Chat: 19.0 (#272), Muse Spark 1.1: 47.1 (#44)

BenchmarkLongcat Flash ChatMuse Spark 1.1
NYT Connections (extended)17.7%84.9%
LMArena Hard Prompts14401486
Kagi LLM Benchmark43.9%—
CritPt—15.1%
DTBench—94.4%
LMCA—49.9%
Surface Evolver Bench—52.5%
Epoch Capabilities Index—154.21

Math Muse Spark 1.1 leads

Longcat Flash Chat: 39.4 (#107), Muse Spark 1.1: 45.5 (#76)

BenchmarkLongcat Flash ChatMuse Spark 1.1
LMArena Math14421483
ProofBench—39%

Knowledge Muse Spark 1.1 leads

Longcat Flash Chat: 40.6 (#116), Muse Spark 1.1: 53.1 (#59)

BenchmarkLongcat Flash ChatMuse Spark 1.1
LMArena Expert14541478
SimpleQA Verified—57.8%

Multimodal Not comparable

Longcat Flash Chat: —, Muse Spark 1.1: 42.6 (#29)

BenchmarkLongcat Flash ChatMuse Spark 1.1
LMArena Vision—1293
LMArena Document—1465

Multilingual Muse Spark 1.1 leads

Longcat Flash Chat: 51.9 (#101), Muse Spark 1.1: 56.7 (#17)

BenchmarkLongcat Flash ChatMuse Spark 1.1
LMArena Non-English14041472
LMArena Chinese14651518
LMArena French14561494
LMArena German14081466
LMArena Japanese13731451
LMArena Korean13711458
LMArena Russian13951483
LMArena Spanish14451464

Instruction Following Muse Spark 1.1 leads

Longcat Flash Chat: 74.4 (#96), Muse Spark 1.1: 76.5 (#39)

BenchmarkLongcat Flash ChatMuse Spark 1.1
LMArena Instruction Following14111457

Long Context Muse Spark 1.1 leads

Longcat Flash Chat: 43.5 (#93), Muse Spark 1.1: 44.8 (#58)

BenchmarkLongcat Flash ChatMuse Spark 1.1
LMArena Longer Query14251462

Writing & Preference Muse Spark 1.1 leads

Longcat Flash Chat: 61.0 (#91), Muse Spark 1.1: 73.4 (#11)

BenchmarkLongcat Flash ChatMuse Spark 1.1
LMArena Text14271479
LMArena Creative Writing13881437
LMArena Multi-Turn14181485
EQ-Bench Creative Writing—1927
EQ-Bench 4—1260

Frequently asked questions

Is Longcat Flash Chat better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 42.1 on the Noometry Index.

Is Longcat Flash Chat or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 43.5 in the Noometry coding category.

How many benchmarks do Longcat Flash Chat and Muse Spark 1.1 share?

18 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Muse Spark 1.1 has 37.

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