Model comparison

Gemini Advanced 0514 vs Qwen2.5-Coder-32B

Gemini Advanced 0514 is the stronger model overall, scoring 37.7 to 33.4 on the Noometry Index.

Last verified . 12 shared benchmarks.

Gemini Advanced 0514 Google

37.7

Rank #197 Confirmed

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

33.4

Rank #245 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Gemini Advanced 0514 scores higher in 7 categories and Qwen2.5-Coder-32B in 1 category; 6 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Gemini Advanced 0514 leads 36.6 to 22.6.
  • Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.

Side by side

Gemini Advanced 0514 and Qwen2.5-Coder-32B specifications
Gemini Advanced 0514Qwen2.5-Coder-32B
ProviderGoogleAlibaba (Qwen)
Noometry Index37.733.4
Released—2024-09-18
WeightsProprietaryOpen
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 Gemini Advanced 0514 leads

Gemini Advanced 0514: 36.6 (#205), Qwen2.5-Coder-32B: 22.6 (#333)

Coding benchmarks
BenchmarkGemini Advanced 0514Qwen2.5-Coder-32B
LMArena Coding12551276
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 Gemini Advanced 0514 leads

Gemini Advanced 0514: 24.6 (#160), Qwen2.5-Coder-32B: 21.2 (#225)

Reasoning benchmarks
BenchmarkGemini Advanced 0514Qwen2.5-Coder-32B
LMArena Hard Prompts12481251
LiveBench Reasoning—42.1%
LiveBench Data Analysis—49.9%
Epoch Capabilities Index—119.49
HellaSwag—83%
LiveBench—46.2%
WinoGrande—80.8%

Math Gemini Advanced 0514 leads

Gemini Advanced 0514: 35.5 (#181), Qwen2.5-Coder-32B: 33.3 (#204)

Math benchmarks
BenchmarkGemini Advanced 0514Qwen2.5-Coder-32B
LMArena Math12721251
LiveBench Math—46.6%
GSM8K—93%

Knowledge Too close to call

Gemini Advanced 0514: 33.3 (#205), Qwen2.5-Coder-32B: 33.4 (#203)

Knowledge benchmarks
BenchmarkGemini Advanced 0514Qwen2.5-Coder-32B
LMArena Expert12151221
ARC (AI2) Challenge—70.5%
MMLU—79.1%

Multilingual Gemini Advanced 0514 leads

Gemini Advanced 0514: 42.6 (#192), Qwen2.5-Coder-32B: 37.8 (#235)

Multilingual benchmarks
BenchmarkGemini Advanced 0514Qwen2.5-Coder-32B
LMArena Non-English12741205
LMArena Chinese12741222
LMArena Russian12831228
LMArena French1307—
LMArena German1275—
LMArena Japanese1242—
LMArena Korean1232—
LMArena Spanish1242—

Instruction Following Gemini Advanced 0514 leads

Gemini Advanced 0514: 66.0 (#212), Qwen2.5-Coder-32B: 61.4 (#245)

Instruction Following benchmarks
BenchmarkGemini Advanced 0514Qwen2.5-Coder-32B
LMArena Instruction Following12531223
LiveBench Instruction Following—58.7%

Long Context Too close to call

Gemini Advanced 0514: 38.0 (#207), Qwen2.5-Coder-32B: 38.0 (#208)

Long Context benchmarks
BenchmarkGemini Advanced 0514Qwen2.5-Coder-32B
LMArena Longer Query12531251

Writing & Preference Gemini Advanced 0514 leads

Gemini Advanced 0514: 48.5 (#200), Qwen2.5-Coder-32B: 41.6 (#240)

Writing & Preference benchmarks
BenchmarkGemini Advanced 0514Qwen2.5-Coder-32B
LMArena Text12791230
LMArena Creative Writing12841174
LMArena Multi-Turn12691222
LiveBench Language—23.3%

Frequently asked questions

Is Gemini Advanced 0514 better than Qwen2.5-Coder-32B?

Gemini Advanced 0514 is the stronger model overall, scoring 37.7 to 33.4 on the Noometry Index.

Is Gemini Advanced 0514 or Qwen2.5-Coder-32B better for coding?

Gemini Advanced 0514 scores higher on coding benchmarks: 36.6 versus 22.6 in the Noometry coding category.

How many benchmarks do Gemini Advanced 0514 and Qwen2.5-Coder-32B share?

12 benchmarks have published results for both models. Gemini Advanced 0514 has 17 scored results on Noometry and Qwen2.5-Coder-32B has 31.

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