Model comparison

Qwen-14B vs Qwen2.5-Coder-32B

Qwen2.5-Coder-32B is the stronger model overall, scoring 32.9 to 30.8 on the Noometry Index.

Last verified . 14 shared benchmarks.

Qwen-14B Alibaba (Qwen)

30.8

Rank #273 Confirmed

Qwen2.5-Coder-32B Alibaba (Qwen)

32.9

Rank #239 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Qwen-14B scores higher in 1 category and Qwen2.5-Coder-32B in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen2.5-Coder-32B leads 41.8 to 27.8.

Side by side

Qwen-14B and Qwen2.5-Coder-32B specifications
Qwen-14BQwen2.5-Coder-32B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index30.832.9
Released2023-09-242024-09-18
WeightsOpenOpen
Context window—33K
Max output—29K
Input $ / M tokens—$0.66
Output $ / M tokens—$1
Results tracked1831

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Category by category

Coding Qwen-14B leads

Qwen-14B: 30.6 (#283), Qwen2.5-Coder-32B: 22.4 (#328)

Coding benchmarks
BenchmarkQwen-14BQwen2.5-Coder-32B
LMArena Coding10721276
SWE-bench Verified (bash only)—9%
Aider Polyglot—16.4%
BigCodeBench Instruct—49%
LiveBench Coding—56.9%
BigCodeBench Complete—58%
HumanEval+—87.2%
MBPP+—77%

Reasoning Qwen2.5-Coder-32B leads

Qwen-14B: 18.7 (#255), Qwen2.5-Coder-32B: 20.4 (#220)

Reasoning benchmarks
BenchmarkQwen-14BQwen2.5-Coder-32B
LMArena Hard Prompts10271251
Epoch Capabilities Index112.8119.41
LiveBench Reasoning—42.1%
LiveBench Data Analysis—49.9%
BIG-Bench Hard55%—
HellaSwag—83%
LAMBADA71.1%—
LiveBench—46.2%
PIQA79.9%—
WinoGrande—80.8%

Math Qwen2.5-Coder-32B leads

Qwen-14B: 28.7 (#224), Qwen2.5-Coder-32B: 30.8 (#203)

Math benchmarks
BenchmarkQwen-14BQwen2.5-Coder-32B
LMArena Math10681251
GSM8K61.3%93%
LiveBench Math—46.6%

Knowledge Not comparable

Qwen-14B: —, Qwen2.5-Coder-32B: 32.9 (#200)

Knowledge benchmarks
BenchmarkQwen-14BQwen2.5-Coder-32B
ARC (AI2) Challenge84.4%70.5%
MMLU66.3%79.1%
LMArena Expert—1221
BoolQ86.2%—

Multilingual Qwen2.5-Coder-32B leads

Qwen-14B: 27.7 (#270), Qwen2.5-Coder-32B: 38.0 (#230)

Multilingual benchmarks
BenchmarkQwen-14BQwen2.5-Coder-32B
LMArena Non-English10421205
LMArena Chinese10771222
LMArena Russian—1228

Instruction Following Qwen2.5-Coder-32B leads

Qwen-14B: 52.6 (#284), Qwen2.5-Coder-32B: 61.6 (#240)

Instruction Following benchmarks
BenchmarkQwen-14BQwen2.5-Coder-32B
LMArena Instruction Following10311223
LiveBench Instruction Following—58.7%

Long Context Qwen2.5-Coder-32B leads

Qwen-14B: 31.3 (#276), Qwen2.5-Coder-32B: 37.9 (#204)

Long Context benchmarks
BenchmarkQwen-14BQwen2.5-Coder-32B
LMArena Longer Query10291251

Writing & Preference Qwen2.5-Coder-32B leads

Qwen-14B: 27.8 (#294), Qwen2.5-Coder-32B: 41.8 (#235)

Writing & Preference benchmarks
BenchmarkQwen-14BQwen2.5-Coder-32B
LMArena Text10511230
LMArena Creative Writing10281174
LMArena Multi-Turn10221222
LiveBench Language—23.3%

Frequently asked questions

Is Qwen-14B better than Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B is the stronger model overall, scoring 32.9 to 30.8 on the Noometry Index.

Is Qwen-14B or Qwen2.5-Coder-32B better for coding?

Qwen-14B scores higher on coding benchmarks: 30.6 versus 22.4 in the Noometry coding category.

How many benchmarks do Qwen-14B and Qwen2.5-Coder-32B share?

14 benchmarks have published results for both models. Qwen-14B has 18 scored results on Noometry and Qwen2.5-Coder-32B has 31.

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