Noometry

Model comparison

Gemini 3.8 Flash vs Longcat Flash Chat

Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 41.5 on the Noometry Index.

Last verified . 18 shared benchmarks.

Gemini 3.8 Flash Google

59.5

Rank #13 Confirmed

Longcat Flash Chat Meituan

41.5

Rank #121 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 8 categories and Longcat Flash Chat in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.8 Flash leads 64.7 to 18.3.
  • The biggest single-benchmark swing is NYT Connections (extended): 97.4% for Gemini 3.8 Flash and 17.7% for Longcat Flash Chat.
  • Longcat Flash Chat has downloadable open weights; the other is API-only.

Side by side

Gemini 3.8 FlashLongcat Flash Chat
ProviderGoogleMeituan
Noometry Index59.541.5
Released2026-09-02—
WeightsProprietaryOpen
Context window1.05M—
Max output66K—
Input $ / M tokens$0.75—
Output $ / M tokens$3.75—
Results tracked4619

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Category by category

Coding Gemini 3.8 Flash leads

Gemini 3.8 Flash: 56.4 (#17), Longcat Flash Chat: 42.9 (#85)

BenchmarkGemini 3.8 FlashLongcat Flash Chat
LMArena Coding15121471
DeepSWE73.8%—
FrontierCode41.2%—
CursorBench39.6%—
LMArena WebDev1581—
FrontierSWE19.6%—
SciCode56.6%—
ALE-Bench1,270—

Agentic & Tool Use Not comparable

Gemini 3.8 Flash: 40.3 (#22), Longcat Flash Chat: —

BenchmarkGemini 3.8 FlashLongcat Flash Chat
APEX-Agents64.3%—
GDP.pdf23.4%—
Vending-Bench 25,094—

Reasoning Gemini 3.8 Flash leads

Gemini 3.8 Flash: 64.7 (#13), Longcat Flash Chat: 18.3 (#267)

BenchmarkGemini 3.8 FlashLongcat Flash Chat
NYT Connections (extended)97.4%17.7%
LMArena Hard Prompts15061440
Kagi LLM Benchmark—43.9%
CritPt18.3%—
Chess Puzzles61%—
Mystery Game Puzzles47%—
DTBench95.7%—
LMCA52.9%—
Surface Evolver Bench76.9%—
Epoch Capabilities Index157.13—

Math Gemini 3.8 Flash leads

Gemini 3.8 Flash: 65.2 (#22), Longcat Flash Chat: 36.6 (#107)

BenchmarkGemini 3.8 FlashLongcat Flash Chat
LMArena Math15281441
FrontierMath (Tiers 1-3)68.4%—
FrontierMath Tier 422%—
OTIS Mock AIME 2024-202598.9%—
ProofBench48%—

Knowledge Gemini 3.8 Flash leads

Gemini 3.8 Flash: 74.9 (#2), Longcat Flash Chat: 40.0 (#111)

BenchmarkGemini 3.8 FlashLongcat Flash Chat
LMArena Expert15291454
GPQA Diamond95.4%—
Humanity's Last Exam44.5%—
SimpleQA Verified69.7%—

Multimodal Not comparable

Gemini 3.8 Flash: 40.9 (#33), Longcat Flash Chat: —

BenchmarkGemini 3.8 FlashLongcat Flash Chat
LMArena Vision1312—
Blueprint-Bench 238.6%—
Furniture Assembly31.7%—

Multilingual Gemini 3.8 Flash leads

Gemini 3.8 Flash: 57.9 (#5), Longcat Flash Chat: 52.1 (#95)

BenchmarkGemini 3.8 FlashLongcat Flash Chat
LMArena Non-English14861404
LMArena Chinese15471465
LMArena French15021457
LMArena German14701409
LMArena Japanese15051373
LMArena Korean14791372
LMArena Russian15071396
LMArena Spanish14921445

Instruction Following Gemini 3.8 Flash leads

Gemini 3.8 Flash: 78.2 (#11), Longcat Flash Chat: 74.6 (#92)

BenchmarkGemini 3.8 FlashLongcat Flash Chat
LMArena Instruction Following14891411

Long Context Gemini 3.8 Flash leads

Gemini 3.8 Flash: 46.2 (#23), Longcat Flash Chat: 43.5 (#89)

BenchmarkGemini 3.8 FlashLongcat Flash Chat
LMArena Longer Query15061425

Writing & Preference Gemini 3.8 Flash leads

Gemini 3.8 Flash: 72.1 (#16), Longcat Flash Chat: 61.2 (#88)

BenchmarkGemini 3.8 FlashLongcat Flash Chat
LMArena Text14941427
LMArena Creative Writing14851388
LMArena Multi-Turn15031418
EQ-Bench Creative Writing1748—

Frequently asked questions

Is Gemini 3.8 Flash better than Longcat Flash Chat?

Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 41.5 on the Noometry Index.

Is Gemini 3.8 Flash or Longcat Flash Chat better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 56.4 versus 42.9 in the Noometry coding category.

How many benchmarks do Gemini 3.8 Flash and Longcat Flash Chat share?

18 benchmarks have published results for both models. Gemini 3.8 Flash has 46 scored results on Noometry and Longcat Flash Chat has 19.

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