Model comparison

Qwen3-Next 80B-A3B Instruct vs Yi-1.5-34B

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 30.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

Yi-1.5-34B 01.AI

30.6

Rank #289 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Qwen3-Next 80B-A3B Instruct scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3-Next 80B-A3B Instruct leads 41.8 to 14.8.

Side by side

Qwen3-Next 80B-A3B Instruct and Yi-1.5-34B specifications
Qwen3-Next 80B-A3B InstructYi-1.5-34B
ProviderAlibaba (Qwen)01.AI
Noometry Index43.030.6
Released2025-092024-05-13
WeightsOpenOpen
Context window131K—
Max output33K—
Input $ / M tokens$0.50—
Output $ / M tokens$2—
Results tracked2521

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Category by category

Coding Qwen3-Next 80B-A3B Instruct leads

Qwen3-Next 80B-A3B Instruct: 42.5 (#98), Yi-1.5-34B: 32.4 (#272)

Coding benchmarks
BenchmarkQwen3-Next 80B-A3B InstructYi-1.5-34B
LMArena Coding14401169
BigCodeBench Instruct—33.9%
BigCodeBench Complete—43.8%

Reasoning Qwen3-Next 80B-A3B Instruct leads

Qwen3-Next 80B-A3B Instruct: 31.1 (#81), Yi-1.5-34B: 22.5 (#191)

Reasoning benchmarks
BenchmarkQwen3-Next 80B-A3B InstructYi-1.5-34B
LMArena Hard Prompts14281160
Kagi LLM Benchmark66.7%—

Math Qwen3-Next 80B-A3B Instruct leads

Qwen3-Next 80B-A3B Instruct: 38.8 (#126), Yi-1.5-34B: 27.5 (#249)

Math benchmarks
BenchmarkQwen3-Next 80B-A3B InstructYi-1.5-34B
LMArena Math14401182
Omni-MATH46.7%—
MATH Level 5—25.5%

Knowledge Qwen3-Next 80B-A3B Instruct leads

Qwen3-Next 80B-A3B Instruct: 41.8 (#106), Yi-1.5-34B: 14.8 (#295)

Knowledge benchmarks
BenchmarkQwen3-Next 80B-A3B InstructYi-1.5-34B
LMArena Expert14171144
GPQA Diamond—32%
MMLU-Pro78.6%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)63%—

Multilingual Qwen3-Next 80B-A3B Instruct leads

Qwen3-Next 80B-A3B Instruct: 52.1 (#93), Yi-1.5-34B: 32.3 (#256)

Multilingual benchmarks
BenchmarkQwen3-Next 80B-A3B InstructYi-1.5-34B
LMArena Non-English14071121
LMArena Chinese14601213
LMArena French14131156
LMArena German14171111
LMArena Japanese13951021
LMArena Korean13641005
LMArena Russian14041091
LMArena Spanish14351121

Instruction Following Qwen3-Next 80B-A3B Instruct leads

Qwen3-Next 80B-A3B Instruct: 70.8 (#159), Yi-1.5-34B: 59.2 (#257)

Instruction Following benchmarks
BenchmarkQwen3-Next 80B-A3B InstructYi-1.5-34B
LMArena Instruction Following13891139
IFEval81%—

Long Context Qwen3-Next 80B-A3B Instruct leads

Qwen3-Next 80B-A3B Instruct: 37.0 (#223), Yi-1.5-34B: 34.6 (#248)

Long Context benchmarks
BenchmarkQwen3-Next 80B-A3B InstructYi-1.5-34B
LMArena Longer Query14031143
Fiction.LiveBench55.6%—

Writing & Preference Qwen3-Next 80B-A3B Instruct leads

Qwen3-Next 80B-A3B Instruct: 58.0 (#121), Yi-1.5-34B: 37.4 (#257)

Writing & Preference benchmarks
BenchmarkQwen3-Next 80B-A3B InstructYi-1.5-34B
LMArena Text14171173
LMArena Creative Writing13341135
LMArena Multi-Turn14161153
WildBench80.7%—

Frequently asked questions

Is Qwen3-Next 80B-A3B Instruct better than Yi-1.5-34B?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 30.6 on the Noometry Index.

Is Qwen3-Next 80B-A3B Instruct or Yi-1.5-34B better for coding?

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 32.4 in the Noometry coding category.

How many benchmarks do Qwen3-Next 80B-A3B Instruct and Yi-1.5-34B share?

17 benchmarks have published results for both models. Qwen3-Next 80B-A3B Instruct has 25 scored results on Noometry and Yi-1.5-34B has 21.

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