Noometry

Model comparison

Llama-3.3-70B-Instruct vs Longcat Flash Chat

Longcat Flash Chat is the stronger model overall, scoring 42.1 to 30.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

Llama-3.3-70B-Instruct Meta

30.6

Rank #291 Confirmed

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 0 categories and Longcat Flash Chat in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Longcat Flash Chat leads 39.4 to 15.3.

Side by side

Llama-3.3-70B-InstructLongcat Flash Chat
ProviderMetaMeituan
Noometry Index30.642.1
Released2024-12-06—
WeightsOpenOpen
Context window128K—
Max output4K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.32—
Results tracked4319

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Category by category

Coding Longcat Flash Chat leads

Llama-3.3-70B-Instruct: 31.0 (#290), Longcat Flash Chat: 43.5 (#87)

BenchmarkLlama-3.3-70B-InstructLongcat Flash Chat
LMArena Coding12681471
SciCode26%—
WeirdML14.4%—
BigCodeBench Instruct46.9%—
LiveBench Coding36.6%—
BigCodeBench Complete57.5%—

Agentic & Tool Use Not comparable

Llama-3.3-70B-Instruct: 25.8 (#105), Longcat Flash Chat: —

BenchmarkLlama-3.3-70B-InstructLongcat Flash Chat
Berkeley Function Calling Leaderboard31.9%—
BALROG23%—

Reasoning Longcat Flash Chat leads

Llama-3.3-70B-Instruct: 14.1 (#327), Longcat Flash Chat: 19.0 (#272)

BenchmarkLlama-3.3-70B-InstructLongcat Flash Chat
LMArena Hard Prompts12571440
SimpleBench19.9%—
Kagi LLM Benchmark—43.9%
NYT Connections (extended)—17.7%
CritPt0%—
LiveBench Reasoning50.8%—
DTBench59.5%—
LiveBench Data Analysis49.5%—
LMCA17.5%—
Epoch Capabilities Index127.33—
ForecastBench58.6—
LiveBench50.2%—

Math Longcat Flash Chat leads

Llama-3.3-70B-Instruct: 15.3 (#298), Longcat Flash Chat: 39.4 (#107)

BenchmarkLlama-3.3-70B-InstructLongcat Flash Chat
LMArena Math12671442
OTIS Mock AIME 2024-20255.1%—
LiveBench Math42.2%—
MATH Level 541.6%—

Knowledge Longcat Flash Chat leads

Llama-3.3-70B-Instruct: 30.6 (#226), Longcat Flash Chat: 40.6 (#116)

BenchmarkLlama-3.3-70B-InstructLongcat Flash Chat
LMArena Expert12251454
GPQA Diamond47.4%—
Confabulations22.8%—
Vectara Hallucination Rate4.1%—
MMLU86.3%—

Multilingual Longcat Flash Chat leads

Llama-3.3-70B-Instruct: 39.9 (#220), Longcat Flash Chat: 51.9 (#101)

BenchmarkLlama-3.3-70B-InstructLongcat Flash Chat
LMArena Non-English12361404
LMArena Chinese12171465
LMArena French12811456
LMArena German12511408
LMArena Japanese11501373
LMArena Korean11431371
LMArena Russian12521395
LMArena Spanish12701445

Instruction Following Longcat Flash Chat leads

Llama-3.3-70B-Instruct: 71.1 (#157), Longcat Flash Chat: 74.4 (#96)

BenchmarkLlama-3.3-70B-InstructLongcat Flash Chat
LMArena Instruction Following12421411
LiveBench Instruction Following82.7%—

Long Context Longcat Flash Chat leads

Llama-3.3-70B-Instruct: 26.4 (#295), Longcat Flash Chat: 43.5 (#93)

BenchmarkLlama-3.3-70B-InstructLongcat Flash Chat
LMArena Longer Query12561425
Fiction.LiveBench33.3%—

Writing & Preference Longcat Flash Chat leads

Llama-3.3-70B-Instruct: 47.6 (#207), Longcat Flash Chat: 61.0 (#91)

BenchmarkLlama-3.3-70B-InstructLongcat Flash Chat
LMArena Text12741427
LMArena Creative Writing12501388
LMArena Multi-Turn12801418
LiveBench Language39.2%—

Frequently asked questions

Is Llama-3.3-70B-Instruct better than Longcat Flash Chat?

Longcat Flash Chat is the stronger model overall, scoring 42.1 to 30.6 on the Noometry Index.

Is Llama-3.3-70B-Instruct or Longcat Flash Chat better for coding?

Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 31.0 in the Noometry coding category.

How many benchmarks do Llama-3.3-70B-Instruct and Longcat Flash Chat share?

17 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Longcat Flash Chat has 19.

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