Noometry

Model comparison

Qwen3.5-Flash vs Yi-1.5-34B

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 30.6 on the Noometry Index.

Last verified . 18 shared benchmarks.

Qwen3.5-Flash Alibaba (Qwen)

42.5

Rank #112 Confirmed

Yi-1.5-34B 01.AI

30.6

Rank #289 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Qwen3.5-Flash 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 Qwen3.5-Flash leads 43.2 to 14.8.
  • The biggest single-benchmark swing is GPQA Diamond: 82.3% for Qwen3.5-Flash and 32% for Yi-1.5-34B.
  • Yi-1.5-34B has downloadable open weights; the other is API-only.

Side by side

Qwen3.5-FlashYi-1.5-34B
ProviderAlibaba (Qwen)01.AI
Noometry Index42.530.6
Released2026-02-232024-05-13
WeightsProprietaryOpen
Context window1M—
Max output66K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.40—
Results tracked3221

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Category by category

Coding Qwen3.5-Flash leads

Qwen3.5-Flash: 34.2 (#242), Yi-1.5-34B: 32.4 (#272)

BenchmarkQwen3.5-FlashYi-1.5-34B
LMArena Coding14121169
LMArena WebDev1244—
BigCodeBench Instruct—33.9%
BigCodeBench Complete—43.8%
ALE-Bench221.8—

Agentic & Tool Use Not comparable

Qwen3.5-Flash: —, Yi-1.5-34B: —

BenchmarkQwen3.5-FlashYi-1.5-34B
Vending-Bench 2462.69—

Reasoning Qwen3.5-Flash leads

Qwen3.5-Flash: 33.7 (#72), Yi-1.5-34B: 22.5 (#191)

BenchmarkQwen3.5-FlashYi-1.5-34B
LMArena Hard Prompts14031160
Chess Puzzles21%—
Mystery Game Puzzles20%—
DTBench82.9%—
LMCA29.1%—
Epoch Capabilities Index143.98—

Math Qwen3.5-Flash leads

Qwen3.5-Flash: 37.4 (#158), Yi-1.5-34B: 27.5 (#249)

BenchmarkQwen3.5-FlashYi-1.5-34B
LMArena Math14071182
FrontierMath (Tiers 1-3)18.2%—
OTIS Mock AIME 2024-202584.4%—
MATH Level 5—25.5%
FrontierMath (Feb 2025 set)6.2%—
FrontierMath Tier 4 (v1)0%—

Knowledge Qwen3.5-Flash leads

Qwen3.5-Flash: 43.2 (#93), Yi-1.5-34B: 14.8 (#295)

BenchmarkQwen3.5-FlashYi-1.5-34B
GPQA Diamond82.3%32%
LMArena Expert14071144
SimpleQA Verified20.3%—
Vectara Hallucination Rate10.5%—

Multilingual Qwen3.5-Flash leads

Qwen3.5-Flash: 50.5 (#121), Yi-1.5-34B: 32.3 (#256)

BenchmarkQwen3.5-FlashYi-1.5-34B
LMArena Non-English13851121
LMArena Chinese14461213
LMArena French14121156
LMArena German13901111
LMArena Japanese13681021
LMArena Korean13441005
LMArena Russian13791091
LMArena Spanish14001121

Instruction Following Qwen3.5-Flash leads

Qwen3.5-Flash: 72.6 (#139), Yi-1.5-34B: 59.2 (#257)

BenchmarkQwen3.5-FlashYi-1.5-34B
LMArena Instruction Following13741139

Long Context Qwen3.5-Flash leads

Qwen3.5-Flash: 42.4 (#124), Yi-1.5-34B: 34.6 (#248)

BenchmarkQwen3.5-FlashYi-1.5-34B
LMArena Longer Query13921143

Writing & Preference Qwen3.5-Flash leads

Qwen3.5-Flash: 57.9 (#122), Yi-1.5-34B: 37.4 (#257)

BenchmarkQwen3.5-FlashYi-1.5-34B
LMArena Text13971173
LMArena Creative Writing13431135
LMArena Multi-Turn13931153

Frequently asked questions

Is Qwen3.5-Flash better than Yi-1.5-34B?

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 30.6 on the Noometry Index.

Is Qwen3.5-Flash or Yi-1.5-34B better for coding?

Qwen3.5-Flash scores higher on coding benchmarks: 34.2 versus 32.4 in the Noometry coding category.

How many benchmarks do Qwen3.5-Flash and Yi-1.5-34B share?

18 benchmarks have published results for both models. Qwen3.5-Flash has 32 scored results on Noometry and Yi-1.5-34B has 21.

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