Model comparison

Llama 3.1-70B vs QwQ-32B

QwQ-32B is the stronger model overall, scoring 39.4 to 29.4 on the Noometry Index.

Last verified . 23 shared benchmarks.

Llama 3.1-70B Meta

29.4

Rank #299 Confirmed

QwQ-32B Alibaba (Qwen)

39.4

Rank #153 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Llama 3.1-70B scores higher in 0 categories and QwQ-32B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where QwQ-32B leads 36.2 to 12.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 3.6% for Llama 3.1-70B and 59.2% for QwQ-32B.

Side by side

Llama 3.1-70B and QwQ-32B specifications
Llama 3.1-70BQwQ-32B
ProviderMetaAlibaba (Qwen)
Noometry Index29.439.4
Released2024-07-232024-11-28
WeightsOpenOpen
Context window128K—
Max output4K—
Input $ / M tokens$0.40—
Output $ / M tokens$0.40—
Results tracked3536

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Category by category

Coding QwQ-32B leads

Llama 3.1-70B: 29.8 (#292), QwQ-32B: 34.9 (#220)

Coding benchmarks
BenchmarkLlama 3.1-70BQwQ-32B
BigCodeBench Instruct46.1%44.6%
LMArena Coding12601333
BigCodeBench Complete54.8%54.4%
Aider Polyglot—20.9%
WeirdML9%—
LiveBench Coding—72.2%

Agentic & Tool Use Not comparable

Llama 3.1-70B: 24.9 (#104), QwQ-32B: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-70BQwQ-32B
TheAgentCompany6.9%—
BALROG27.9%—

Reasoning QwQ-32B leads

Llama 3.1-70B: 20.8 (#215), QwQ-32B: 22.9 (#171)

Reasoning benchmarks
BenchmarkLlama 3.1-70BQwQ-32B
LMArena Hard Prompts12411326
Epoch Capabilities Index125.91137.6
Chess Puzzles—5%
LiveBench Reasoning—83.5%
DTBench60%—
LiveBench Data Analysis—65%
LMCA14.8%—
ForecastBench—58.3
LiveBench—72%

Math QwQ-32B leads

Llama 3.1-70B: 12.7 (#298), QwQ-32B: 36.2 (#123)

Math benchmarks
BenchmarkLlama 3.1-70BQwQ-32B
OTIS Mock AIME 2024-20253.6%59.2%
LMArena Math12521359
Omni-MATH21%—
LiveBench Math—77.8%
MATH Level 536.7%—

Knowledge QwQ-32B leads

Llama 3.1-70B: 24.1 (#264), QwQ-32B: 37.2 (#150)

Knowledge benchmarks
BenchmarkLlama 3.1-70BQwQ-32B
GPQA Diamond44.2%65.3%
LMArena Expert12091323
MMLU-Pro65.3%—
Confabulations—15.6%
GPQA (HELM)42.6%—
MMLU80.1%—

Multilingual QwQ-32B leads

Llama 3.1-70B: 38.9 (#220), QwQ-32B: 45.0 (#171)

Multilingual benchmarks
BenchmarkLlama 3.1-70BQwQ-32B
LMArena Non-English12191306
LMArena Chinese12151378
LMArena French12601337
LMArena German12221313
LMArena Japanese11321263
LMArena Korean11401278
LMArena Russian12341297
LMArena Spanish12531353

Instruction Following QwQ-32B leads

Llama 3.1-70B: 65.5 (#218), QwQ-32B: 72.8 (#131)

Instruction Following benchmarks
BenchmarkLlama 3.1-70BQwQ-32B
LMArena Instruction Following12311297
LiveBench Instruction Following—81.8%
IFEval82.1%—

Long Context QwQ-32B leads

Llama 3.1-70B: 37.6 (#208), QwQ-32B: 49.0 (#11)

Long Context benchmarks
BenchmarkLlama 3.1-70BQwQ-32B
LMArena Longer Query12411308
Fiction.LiveBench—83.3%

Writing & Preference QwQ-32B leads

Llama 3.1-70B: 35.6 (#262), QwQ-32B: 50.9 (#175)

Writing & Preference benchmarks
BenchmarkLlama 3.1-70BQwQ-32B
LMArena Text12611329
LMArena Creative Writing12321288
EQ-Bench Creative Writing7841257
LMArena Multi-Turn12561314
Short-Story Creative Writing—80.2%
WildBench75.8%—
LiveBench Language—51.4%

Frequently asked questions

Is Llama 3.1-70B better than QwQ-32B?

QwQ-32B is the stronger model overall, scoring 39.4 to 29.4 on the Noometry Index.

Is Llama 3.1-70B or QwQ-32B better for coding?

QwQ-32B scores higher on coding benchmarks: 34.9 versus 29.8 in the Noometry coding category.

How many benchmarks do Llama 3.1-70B and QwQ-32B share?

23 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and QwQ-32B has 36.

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