Model comparison

Longcat Flash Chat vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 42.1 on the Noometry Index.

Last verified . 15 shared benchmarks.

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Longcat Flash Chat scores higher in 0 categories and Muse Spark 1.2 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.2 leads 51.3 to 19.0.
  • The biggest single-benchmark swing is NYT Connections (extended): 17.7% for Longcat Flash Chat and 79.2% for Muse Spark 1.2.
  • Longcat Flash Chat has downloadable open weights; the other is API-only.

Side by side

Longcat Flash Chat and Muse Spark 1.2 specifications
Longcat Flash ChatMuse Spark 1.2
ProviderMeituanMeta
Noometry Index42.150.3
Released—2026-08-05
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked1931

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Category by category

Coding Muse Spark 1.2 leads

Longcat Flash Chat: 43.5 (#87), Muse Spark 1.2: 49.2 (#51)

Coding benchmarks
BenchmarkLongcat Flash ChatMuse Spark 1.2
LMArena Coding14711495
DeepSWE—54.9%
LMArena WebDev—1533
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%

Agentic & Tool Use Not comparable

Longcat Flash Chat: —, Muse Spark 1.2: 29.4 (#87)

Agentic & Tool Use benchmarks
BenchmarkLongcat Flash ChatMuse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

Longcat Flash Chat: 19.0 (#272), Muse Spark 1.2: 51.3 (#34)

Reasoning benchmarks
BenchmarkLongcat Flash ChatMuse Spark 1.2
NYT Connections (extended)17.7%79.2%
LMArena Hard Prompts14401486
SimpleBench—74.5%
Kagi LLM Benchmark43.9%—
CritPt—17.7%
DTBench—94.7%
LMCA—48.4%
Epoch Capabilities Index—154.87

Math Muse Spark 1.2 leads

Longcat Flash Chat: 39.4 (#107), Muse Spark 1.2: 46.4 (#70)

Math benchmarks
BenchmarkLongcat Flash ChatMuse Spark 1.2
LMArena Math14421471
ProofBench—43%

Knowledge Muse Spark 1.2 leads

Longcat Flash Chat: 40.6 (#116), Muse Spark 1.2: 54.1 (#53)

Knowledge benchmarks
BenchmarkLongcat Flash ChatMuse Spark 1.2
LMArena Expert14541480
SimpleQA Verified—60.3%

Multimodal Not comparable

Longcat Flash Chat: —, Muse Spark 1.2: 43.4 (#25)

Multimodal benchmarks
BenchmarkLongcat Flash ChatMuse Spark 1.2
LMArena Vision—1305

Multilingual Muse Spark 1.2 leads

Longcat Flash Chat: 51.9 (#101), Muse Spark 1.2: 57.1 (#11)

Multilingual benchmarks
BenchmarkLongcat Flash ChatMuse Spark 1.2
LMArena Non-English14041478
LMArena Chinese14651511
LMArena French14561513
LMArena Russian13951487
LMArena Spanish14451498
LMArena German1408—
LMArena Japanese1373—
LMArena Korean1371—

Instruction Following Muse Spark 1.2 leads

Longcat Flash Chat: 74.4 (#96), Muse Spark 1.2: 76.7 (#36)

Instruction Following benchmarks
BenchmarkLongcat Flash ChatMuse Spark 1.2
LMArena Instruction Following14111461

Long Context Muse Spark 1.2 leads

Longcat Flash Chat: 43.5 (#93), Muse Spark 1.2: 45.2 (#48)

Long Context benchmarks
BenchmarkLongcat Flash ChatMuse Spark 1.2
LMArena Longer Query14251475

Writing & Preference Muse Spark 1.2 leads

Longcat Flash Chat: 61.0 (#91), Muse Spark 1.2: 72.3 (#14)

Writing & Preference benchmarks
BenchmarkLongcat Flash ChatMuse Spark 1.2
LMArena Text14271482
LMArena Creative Writing13881449
LMArena Multi-Turn14181494
EQ-Bench Creative Writing—1840

Frequently asked questions

Is Longcat Flash Chat better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 42.1 on the Noometry Index.

Is Longcat Flash Chat or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 43.5 in the Noometry coding category.

How many benchmarks do Longcat Flash Chat and Muse Spark 1.2 share?

15 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Muse Spark 1.2 has 31.

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