Model comparison

Llama 2-70B vs QwQ-32B

QwQ-32B is the stronger model overall, scoring 39.8 to 24.4 on the Noometry Index.

Last verified . 21 shared benchmarks.

Llama 2-70B Meta

24.4

Rank #349 Confirmed

QwQ-32B Alibaba (Qwen)

39.8

Rank #159 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Llama 2-70B 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 38.0 to 8.1.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0% for Llama 2-70B and 59.2% for QwQ-32B.

Side by side

Llama 2-70B and QwQ-32B specifications
Llama 2-70BQwQ-32B
ProviderMetaAlibaba (Qwen)
Noometry Index24.439.8
Released2023-07-182024-11-28
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked3536

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding QwQ-32B leads

Llama 2-70B: 31.4 (#286), QwQ-32B: 35.4 (#226)

Coding benchmarks
BenchmarkLlama 2-70BQwQ-32B
LMArena Coding10791333
Aider Polyglot—20.9%
BigCodeBench Instruct—44.6%
LiveBench Coding—72.2%
BigCodeBench Complete—54.4%

Reasoning QwQ-32B leads

Llama 2-70B: 14.4 (#325), QwQ-32B: 23.7 (#174)

Reasoning benchmarks
BenchmarkLlama 2-70BQwQ-32B
LMArena Hard Prompts10731325
Epoch Capabilities Index113.79137.6
ForecastBench51.458.3
Chess Puzzles—5%
LiveBench Reasoning—83.5%
DTBench41.6%—
LiveBench Data Analysis—65%
BIG-Bench Hard64.9%—
CommonsenseQA 2.050%—
HellaSwag85.3%—
LAMBADA78.9%—
LiveBench—72%
PIQA82.8%—
WinoGrande80.2%—

Math QwQ-32B leads

Llama 2-70B: 8.1 (#326), QwQ-32B: 38.0 (#143)

Math benchmarks
BenchmarkLlama 2-70BQwQ-32B
OTIS Mock AIME 2024-20250%59.2%
LMArena Math10911359
LiveBench Math—77.8%
MATH Level 53.3%—
GSM8K69.6%—

Knowledge QwQ-32B leads

Llama 2-70B: 7.4 (#310), QwQ-32B: 37.2 (#158)

Knowledge benchmarks
BenchmarkLlama 2-70BQwQ-32B
GPQA Diamond26.3%65.3%
LMArena Expert10391324
Confabulations—15.6%
ARC (AI2) Challenge78.3%—
BoolQ88.6%—
MMLU69.9%—
OpenBookQA60.2%—
TriviaQA87.6%—

Multilingual QwQ-32B leads

Llama 2-70B: 27.7 (#274), QwQ-32B: 44.8 (#176)

Multilingual benchmarks
BenchmarkLlama 2-70BQwQ-32B
LMArena Non-English10451305
LMArena Chinese9951378
LMArena French10901336
LMArena German10411313
LMArena Japanese9271262
LMArena Korean9641279
LMArena Russian10831297
LMArena Spanish11431354

Instruction Following QwQ-32B leads

Llama 2-70B: 54.9 (#278), QwQ-32B: 72.6 (#137)

Instruction Following benchmarks
BenchmarkLlama 2-70BQwQ-32B
LMArena Instruction Following10711297
LiveBench Instruction Following—81.8%

Long Context QwQ-32B leads

Llama 2-70B: 32.3 (#270), QwQ-32B: 49.0 (#11)

Long Context benchmarks
BenchmarkLlama 2-70BQwQ-32B
LMArena Longer Query10621308
Fiction.LiveBench—83.3%

Writing & Preference QwQ-32B leads

Llama 2-70B: 32.3 (#279), QwQ-32B: 50.6 (#180)

Writing & Preference benchmarks
BenchmarkLlama 2-70BQwQ-32B
LMArena Text11151329
LMArena Creative Writing10751288
LMArena Multi-Turn10881314
Short-Story Creative Writing—80.2%
EQ-Bench Creative Writing—1257
LiveBench Language—51.4%

Frequently asked questions

Is Llama 2-70B better than QwQ-32B?

QwQ-32B is the stronger model overall, scoring 39.8 to 24.4 on the Noometry Index.

Is Llama 2-70B or QwQ-32B better for coding?

QwQ-32B scores higher on coding benchmarks: 35.4 versus 31.4 in the Noometry coding category.

How many benchmarks do Llama 2-70B and QwQ-32B share?

21 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and QwQ-32B has 36.

Related comparisons

Go deeper