Noometry

Model comparison

Qwen3 32B vs Yi-1.5-34B

Qwen3 32B is the stronger model overall, scoring 39.2 to 30.6 on the Noometry Index.

Last verified . 14 shared benchmarks.

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Yi-1.5-34B 01.AI

30.6

Rank #289 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Qwen3 32B scores higher in 7 categories and Yi-1.5-34B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 32B leads 40.0 to 14.8.
  • The biggest single-benchmark swing is GPQA Diamond: 65.7% for Qwen3 32B and 32% for Yi-1.5-34B.

Side by side

Qwen3 32BYi-1.5-34B
ProviderAlibaba (Qwen)01.AI
Noometry Index39.230.6
Released2025-042024-05-13
WeightsOpenOpen
Context window131K—
Max output16K—
Input $ / M tokens$0.70—
Output $ / M tokens$2.80—
Results tracked2621

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Category by category

Coding Qwen3 32B leads

Qwen3 32B: 37.7 (#190), Yi-1.5-34B: 32.4 (#272)

BenchmarkQwen3 32BYi-1.5-34B
LMArena Coding13581169
Aider Polyglot40%—
SciCode35.4%—
BigCodeBench Instruct—33.9%
BigCodeBench Complete—43.8%

Agentic & Tool Use Not comparable

Qwen3 32B: 32.6 (#62), Yi-1.5-34B: —

BenchmarkQwen3 32BYi-1.5-34B
Berkeley Function Calling Leaderboard48.7%—

Reasoning Yi-1.5-34B leads

Qwen3 32B: 20.2 (#241), Yi-1.5-34B: 22.5 (#191)

BenchmarkQwen3 32BYi-1.5-34B
LMArena Hard Prompts13341160
Kagi LLM Benchmark54.9%—
CritPt0.3%—
Chess Puzzles5%—
DTBench67.5%—
LMCA17.3%—
Epoch Capabilities Index138.51—

Math Qwen3 32B leads

Qwen3 32B: 39.7 (#99), Yi-1.5-34B: 27.5 (#249)

BenchmarkQwen3 32BYi-1.5-34B
LMArena Math13991182
OTIS Mock AIME 2024-202566.9%—
MATH Level 5—25.5%

Knowledge Qwen3 32B leads

Qwen3 32B: 40.0 (#125), Yi-1.5-34B: 14.8 (#295)

BenchmarkQwen3 32BYi-1.5-34B
GPQA Diamond65.7%32%
LMArena Expert13621144
Vectara Hallucination Rate5.9%—

Multilingual Qwen3 32B leads

Qwen3 32B: 45.6 (#167), Yi-1.5-34B: 32.3 (#256)

BenchmarkQwen3 32BYi-1.5-34B
LMArena Non-English13171121
LMArena Chinese13571213
LMArena German13411111
LMArena Russian13111091
LMArena French—1156
LMArena Japanese—1021
LMArena Korean—1005
LMArena Spanish—1121

Instruction Following Qwen3 32B leads

Qwen3 32B: 68.9 (#179), Yi-1.5-34B: 59.2 (#257)

BenchmarkQwen3 32BYi-1.5-34B
LMArena Instruction Following13051139

Long Context Qwen3 32B leads

Qwen3 32B: 43.8 (#87), Yi-1.5-34B: 34.6 (#248)

BenchmarkQwen3 32BYi-1.5-34B
LMArena Longer Query13271143
Fiction.LiveBench74.2%—

Writing & Preference Qwen3 32B leads

Qwen3 32B: 52.9 (#163), Yi-1.5-34B: 37.4 (#257)

BenchmarkQwen3 32BYi-1.5-34B
LMArena Text13401173
LMArena Creative Writing12971135
LMArena Multi-Turn13311153

Frequently asked questions

Is Qwen3 32B better than Yi-1.5-34B?

Qwen3 32B is the stronger model overall, scoring 39.2 to 30.6 on the Noometry Index.

Is Qwen3 32B or Yi-1.5-34B better for coding?

Qwen3 32B scores higher on coding benchmarks: 37.7 versus 32.4 in the Noometry coding category.

How many benchmarks do Qwen3 32B and Yi-1.5-34B share?

14 benchmarks have published results for both models. Qwen3 32B has 26 scored results on Noometry and Yi-1.5-34B has 21.

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