Noometry

Model comparison

GPT-6 Sol vs Longcat Flash Chat

GPT-6 Sol is the stronger model overall, scoring 61.8 to 42.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

GPT-6 Sol OpenAI

61.8

Rank #12 Confirmed

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-6 Sol scores higher in 6 categories and Longcat Flash Chat in 2 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Sol leads 74.0 to 19.0.
  • The biggest single-benchmark swing is NYT Connections (extended): 90.1% for GPT-6 Sol and 17.7% for Longcat Flash Chat.
  • Longcat Flash Chat has downloadable open weights; the other is API-only.

Side by side

GPT-6 SolLongcat Flash Chat
ProviderOpenAIMeituan
Noometry Index61.842.1
Released2026-09-22—
WeightsProprietaryOpen
Context window1.05M—
Max output128K—
Input $ / M tokens$2—
Output $ / M tokens$10—
Results tracked4519

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Category by category

Coding GPT-6 Sol leads

GPT-6 Sol: 60.1 (#11), Longcat Flash Chat: 43.5 (#87)

BenchmarkGPT-6 SolLongcat Flash Chat
LMArena Coding14471471
DeepSWE68.8%—
FrontierCode49.3%—
LMArena WebDev1688—
SciCode57.6%—
ALE-Bench2,462—

Agentic & Tool Use Not comparable

GPT-6 Sol: 37.2 (#36), Longcat Flash Chat: —

BenchmarkGPT-6 SolLongcat Flash Chat
APEX-Agents54.3%—
GDP.pdf26.4%—
Vending-Bench 214,428—

Reasoning GPT-6 Sol leads

GPT-6 Sol: 74.0 (#9), Longcat Flash Chat: 19.0 (#272)

BenchmarkGPT-6 SolLongcat Flash Chat
NYT Connections (extended)90.1%17.7%
LMArena Hard Prompts14181440
ARC-AGI-289.6%—
Kagi LLM Benchmark—43.9%
ARC-AGI-195.5%—
CritPt30.9%—
EBR-Bench53.3%—
Mystery Game Puzzles56%—
DTBench97.3%—
LMCA59.1%—
Epoch Capabilities Index162.72—

Math GPT-6 Sol leads

GPT-6 Sol: 87.2 (#7), Longcat Flash Chat: 39.4 (#107)

BenchmarkGPT-6 SolLongcat Flash Chat
LMArena Math14021442
FrontierMath (Tiers 1-3)89.8%—
FrontierMath Tier 490%—
OTIS Mock AIME 2024-2025100%—
ProofBench83%—

Knowledge GPT-6 Sol leads

GPT-6 Sol: 64.8 (#15), Longcat Flash Chat: 40.6 (#116)

BenchmarkGPT-6 SolLongcat Flash Chat
LMArena Expert14391454
GPQA Diamond94.3%—
SimpleQA Verified60.7%—
Vectara Hallucination Rate6.5%—

Multimodal Not comparable

GPT-6 Sol: 47.6 (#10), Longcat Flash Chat: —

BenchmarkGPT-6 SolLongcat Flash Chat
LMArena Vision1245—
Blueprint-Bench 236.9%—
Furniture Assembly58.3%—

Multilingual Longcat Flash Chat leads

GPT-6 Sol: 50.5 (#118), Longcat Flash Chat: 51.9 (#101)

BenchmarkGPT-6 SolLongcat Flash Chat
LMArena Non-English13851404
LMArena Chinese14051465
LMArena French14101456
LMArena German13901408
LMArena Japanese13851373
LMArena Korean13411371
LMArena Russian14011395
LMArena Spanish13841445

Instruction Following Too close to call

GPT-6 Sol: 74.5 (#94), Longcat Flash Chat: 74.4 (#96)

BenchmarkGPT-6 SolLongcat Flash Chat
LMArena Instruction Following14121411

Long Context Too close to call

GPT-6 Sol: 43.1 (#108), Longcat Flash Chat: 43.5 (#93)

BenchmarkGPT-6 SolLongcat Flash Chat
LMArena Longer Query14111425

Writing & Preference GPT-6 Sol leads

GPT-6 Sol: 71.9 (#18), Longcat Flash Chat: 61.0 (#91)

BenchmarkGPT-6 SolLongcat Flash Chat
LMArena Text13951427
LMArena Creative Writing13781388
LMArena Multi-Turn14121418
EQ-Bench Creative Writing2125—

Frequently asked questions

Is GPT-6 Sol better than Longcat Flash Chat?

GPT-6 Sol is the stronger model overall, scoring 61.8 to 42.1 on the Noometry Index.

Is GPT-6 Sol or Longcat Flash Chat better for coding?

GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 43.5 in the Noometry coding category.

How many benchmarks do GPT-6 Sol and Longcat Flash Chat share?

18 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Longcat Flash Chat has 19.

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