Model comparison

Qwen1.5-110B vs Qwen3.5-Flash

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 33.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

Qwen1.5-110B Alibaba (Qwen)

33.6

Rank #231 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.3

Rank #105 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Qwen1.5-110B scores higher in 0 categories and Qwen3.5-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3.5-Flash leads 58.2 to 38.1.
  • Qwen1.5-110B has downloadable open weights; the other is API-only.

Side by side

Qwen1.5-110B and Qwen3.5-Flash specifications
Qwen1.5-110BQwen3.5-Flash
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index33.642.3
Released2024-04-252026-02-23
WeightsOpenProprietary
Context window—1M
Max output—66K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.40
Results tracked2032

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Category by category

Coding Qwen3.5-Flash leads

Qwen1.5-110B: 32.4 (#260), Qwen3.5-Flash: 33.9 (#234)

Coding benchmarks
BenchmarkQwen1.5-110BQwen3.5-Flash
LMArena Coding11841412
LMArena WebDev—1243
BigCodeBench Instruct35%—
BigCodeBench Complete44.4%—
ALE-Bench—221.8

Agentic & Tool Use Not comparable

Qwen1.5-110B: —, Qwen3.5-Flash: —

Agentic & Tool Use benchmarks
BenchmarkQwen1.5-110BQwen3.5-Flash
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

Qwen1.5-110B: 21.7 (#192), Qwen3.5-Flash: 32.9 (#63)

Reasoning benchmarks
BenchmarkQwen1.5-110BQwen3.5-Flash
LMArena Hard Prompts11681404
Chess Puzzles—21%
Mystery Game Puzzles—20%
DTBench—82.9%
LMCA—29.1%
Epoch Capabilities Index—143.98
ForecastBench57.7—

Math Qwen3.5-Flash leads

Qwen1.5-110B: 31.1 (#199), Qwen3.5-Flash: 36.3 (#117)

Math benchmarks
BenchmarkQwen1.5-110BQwen3.5-Flash
LMArena Math11851407
FrontierMath (Tiers 1-3)—18.2%
OTIS Mock AIME 2024-2025—84.4%
FrontierMath (Feb 2025 set)—6.2%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.5-Flash leads

Qwen1.5-110B: 30.7 (#217), Qwen3.5-Flash: 43.2 (#84)

Knowledge benchmarks
BenchmarkQwen1.5-110BQwen3.5-Flash
LMArena Expert11441408
GPQA Diamond—82.3%
SimpleQA Verified—20.3%
Vectara Hallucination Rate—10.5%

Multilingual Qwen3.5-Flash leads

Qwen1.5-110B: 33.8 (#245), Qwen3.5-Flash: 50.7 (#116)

Multilingual benchmarks
BenchmarkQwen1.5-110BQwen3.5-Flash
LMArena Non-English11421385
LMArena Chinese12061446
LMArena French11501412
LMArena German11231389
LMArena Japanese10741369
LMArena Korean10441344
LMArena Russian11181379
LMArena Spanish11411399

Instruction Following Qwen3.5-Flash leads

Qwen1.5-110B: 60.6 (#247), Qwen3.5-Flash: 72.8 (#133)

Instruction Following benchmarks
BenchmarkQwen1.5-110BQwen3.5-Flash
LMArena Instruction Following11581374

Long Context Qwen3.5-Flash leads

Qwen1.5-110B: 35.0 (#237), Qwen3.5-Flash: 42.4 (#119)

Long Context benchmarks
BenchmarkQwen1.5-110BQwen3.5-Flash
LMArena Longer Query11571392

Writing & Preference Qwen3.5-Flash leads

Qwen1.5-110B: 38.1 (#250), Qwen3.5-Flash: 58.2 (#117)

Writing & Preference benchmarks
BenchmarkQwen1.5-110BQwen3.5-Flash
LMArena Text11751397
LMArena Creative Writing11481343
LMArena Multi-Turn11601393

Frequently asked questions

Is Qwen1.5-110B better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 33.6 on the Noometry Index.

Is Qwen1.5-110B or Qwen3.5-Flash better for coding?

Qwen3.5-Flash scores higher on coding benchmarks: 33.9 versus 32.4 in the Noometry coding category.

How many benchmarks do Qwen1.5-110B and Qwen3.5-Flash share?

17 benchmarks have published results for both models. Qwen1.5-110B has 20 scored results on Noometry and Qwen3.5-Flash has 32.

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