Model comparison

Qwen-14B vs Qwen2-72B

Qwen-14B is the stronger model overall, scoring 30.8 to 29.5 on the Noometry Index.

Last verified . 12 shared benchmarks.

Qwen-14B Alibaba (Qwen)

30.8

Rank #273 Confirmed

Qwen2-72B Alibaba (Qwen)

29.5

Rank #294 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Qwen-14B scores higher in 2 categories and Qwen2-72B in 5 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen2-72B leads 41.0 to 27.8.

Side by side

Qwen-14B and Qwen2-72B specifications
Qwen-14BQwen2-72B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index30.829.5
Released2023-09-242024-06-07
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked1826

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Category by category

Coding Qwen-14B leads

Qwen-14B: 30.6 (#283), Qwen2-72B: 28.7 (#303)

Coding benchmarks
BenchmarkQwen-14BQwen2-72B
LMArena Coding10721196
WeirdML—11.3%
BigCodeBench Instruct—38.5%
BigCodeBench Complete—54%

Agentic & Tool Use Not comparable

Qwen-14B: —, Qwen2-72B: 16.9 (#138)

Agentic & Tool Use benchmarks
BenchmarkQwen-14BQwen2-72B
TheAgentCompany—1.1%
METR Time Horizons—29.9%

Reasoning Qwen2-72B leads

Qwen-14B: 18.7 (#255), Qwen2-72B: 22.2 (#184)

Reasoning benchmarks
BenchmarkQwen-14BQwen2-72B
LMArena Hard Prompts10271191
Epoch Capabilities Index112.8125.27
BIG-Bench Hard55%—
LAMBADA71.1%—
PIQA79.9%—

Math Too close to call

Qwen-14B: 28.7 (#224), Qwen2-72B: 27.9 (#232)

Math benchmarks
BenchmarkQwen-14BQwen2-72B
LMArena Math10681235
MATH Level 5—39.1%
GSM8K61.3%—

Knowledge Not comparable

Qwen-14B: —, Qwen2-72B: 21.2 (#270)

Knowledge benchmarks
BenchmarkQwen-14BQwen2-72B
MMLU66.3%82.4%
GPQA Diamond—40.8%
LMArena Expert—1171
ARC (AI2) Challenge84.4%—
BoolQ86.2%—

Multilingual Qwen2-72B leads

Qwen-14B: 27.7 (#270), Qwen2-72B: 36.0 (#239)

Multilingual benchmarks
BenchmarkQwen-14BQwen2-72B
LMArena Non-English10421176
LMArena Chinese10771240
LMArena French—1169
LMArena German—1151
LMArena Japanese—1111
LMArena Korean—1083
LMArena Russian—1169
LMArena Spanish—1168

Instruction Following Qwen2-72B leads

Qwen-14B: 52.6 (#284), Qwen2-72B: 62.0 (#236)

Instruction Following benchmarks
BenchmarkQwen-14BQwen2-72B
LMArena Instruction Following10311181

Long Context Qwen2-72B leads

Qwen-14B: 31.3 (#276), Qwen2-72B: 36.1 (#230)

Long Context benchmarks
BenchmarkQwen-14BQwen2-72B
LMArena Longer Query10291193

Writing & Preference Qwen2-72B leads

Qwen-14B: 27.8 (#294), Qwen2-72B: 41.0 (#236)

Writing & Preference benchmarks
BenchmarkQwen-14BQwen2-72B
LMArena Text10511203
LMArena Creative Writing10281181
LMArena Multi-Turn10221195

Frequently asked questions

Is Qwen-14B better than Qwen2-72B?

Qwen-14B is the stronger model overall, scoring 30.8 to 29.5 on the Noometry Index.

Is Qwen-14B or Qwen2-72B better for coding?

Qwen-14B scores higher on coding benchmarks: 30.6 versus 28.7 in the Noometry coding category.

How many benchmarks do Qwen-14B and Qwen2-72B share?

12 benchmarks have published results for both models. Qwen-14B has 18 scored results on Noometry and Qwen2-72B has 26.

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