Model comparison

Qwen1.5-14B vs Qwen2.5-Coder-32B

Qwen1.5-14B and Qwen2.5-Coder-32B score almost the same on the Noometry Index (32.7 vs 33.4), so choose on price, context window or the category you care about most.

Last verified . 13 shared benchmarks.

Qwen1.5-14B Alibaba (Qwen)

32.7

Rank #253 Confirmed

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

33.4

Rank #245 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Qwen1.5-14B scores higher in 2 categories and Qwen2.5-Coder-32B in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Qwen1.5-14B leads 33.1 to 22.6.

Side by side

Qwen1.5-14B and Qwen2.5-Coder-32B specifications
Qwen1.5-14BQwen2.5-Coder-32B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index32.733.4
Released2024-02-042024-09-18
WeightsOpenOpen
Context window—33K
Max output—29K
Input $ / M tokens—$0.66
Output $ / M tokens—$1
Results tracked1731

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Category by category

Coding Qwen1.5-14B leads

Qwen1.5-14B: 33.1 (#263), Qwen2.5-Coder-32B: 22.6 (#333)

Coding benchmarks
BenchmarkQwen1.5-14BQwen2.5-Coder-32B
LMArena Coding11381276
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 Too close to call

Qwen1.5-14B: 21.4 (#223), Qwen2.5-Coder-32B: 21.2 (#225)

Reasoning benchmarks
BenchmarkQwen1.5-14BQwen2.5-Coder-32B
LMArena Hard Prompts11131251
LiveBench Reasoning—42.1%
LiveBench Data Analysis—49.9%
Epoch Capabilities Index—119.49
HellaSwag—83%
LiveBench—46.2%
WinoGrande—80.8%

Math Too close to call

Qwen1.5-14B: 32.4 (#215), Qwen2.5-Coder-32B: 33.3 (#204)

Math benchmarks
BenchmarkQwen1.5-14BQwen2.5-Coder-32B
LMArena Math11251251
LiveBench Math—46.6%
GSM8K—93%

Knowledge Qwen2.5-Coder-32B leads

Qwen1.5-14B: 29.8 (#232), Qwen2.5-Coder-32B: 33.4 (#203)

Knowledge benchmarks
BenchmarkQwen1.5-14BQwen2.5-Coder-32B
LMArena Expert10941221
MMLU68.6%79.1%
ARC (AI2) Challenge—70.5%

Multilingual Qwen2.5-Coder-32B leads

Qwen1.5-14B: 30.7 (#262), Qwen2.5-Coder-32B: 37.8 (#235)

Multilingual benchmarks
BenchmarkQwen1.5-14BQwen2.5-Coder-32B
LMArena Non-English10951205
LMArena Chinese11471222
LMArena Russian10461228
LMArena French1116—
LMArena German1043—
LMArena Japanese1019—
LMArena Spanish1085—

Instruction Following Qwen2.5-Coder-32B leads

Qwen1.5-14B: 56.8 (#271), Qwen2.5-Coder-32B: 61.4 (#245)

Instruction Following benchmarks
BenchmarkQwen1.5-14BQwen2.5-Coder-32B
LMArena Instruction Following11021223
LiveBench Instruction Following—58.7%

Long Context Qwen2.5-Coder-32B leads

Qwen1.5-14B: 33.7 (#257), Qwen2.5-Coder-32B: 38.0 (#208)

Long Context benchmarks
BenchmarkQwen1.5-14BQwen2.5-Coder-32B
LMArena Longer Query11131251

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

Qwen1.5-14B: 33.6 (#276), Qwen2.5-Coder-32B: 41.6 (#240)

Writing & Preference benchmarks
BenchmarkQwen1.5-14BQwen2.5-Coder-32B
LMArena Text11281230
LMArena Creative Writing10911174
LMArena Multi-Turn11101222
LiveBench Language—23.3%

Frequently asked questions

Is Qwen1.5-14B better than Qwen2.5-Coder-32B?

Qwen1.5-14B and Qwen2.5-Coder-32B score almost the same on the Noometry Index (32.7 vs 33.4), so choose on price, context window or the category you care about most.

Is Qwen1.5-14B or Qwen2.5-Coder-32B better for coding?

Qwen1.5-14B scores higher on coding benchmarks: 33.1 versus 22.6 in the Noometry coding category.

How many benchmarks do Qwen1.5-14B and Qwen2.5-Coder-32B share?

13 benchmarks have published results for both models. Qwen1.5-14B has 17 scored results on Noometry and Qwen2.5-Coder-32B has 31.

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