Noometry

Model comparison

DeepSeek V4 Flash vs Qwen1.5-110B

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 34.2 on the Noometry Index.

Last verified . 17 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

Qwen1.5-110B Alibaba (Qwen)

34.2

Rank #234 Confirmed

Summary

  • They share 17 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Qwen1.5-110B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 22.7.

Side by side

DeepSeek V4 FlashQwen1.5-110B
ProviderDeepSeekAlibaba (Qwen)
Noometry Index53.634.2
Released2026-04-242024-04-25
WeightsOpenOpen
Context window1M—
Max output393K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked4120

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), Qwen1.5-110B: 33.0 (#264)

BenchmarkDeepSeek V4 FlashQwen1.5-110B
LMArena Coding14571184
FrontierCode18.8%—
LMArena WebDev1582—
SciCode49.9%—
WeirdML63%—
BigCodeBench Instruct—35%
BigCodeBench Complete—44.4%
ALE-Bench1,306—

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Qwen1.5-110B: 22.7 (#189)

BenchmarkDeepSeek V4 FlashQwen1.5-110B
LMArena Hard Prompts14441168
ARC-AGI-261.4%—
SimpleBench61.1%—
Kagi LLM Benchmark52.2%—
NYT Connections (extended)89.6%—
ARC-AGI-189%—
CritPt16.6%—
Chess Puzzles33%—
Mystery Game Puzzles34%—
DTBench90.9%—
LMCA41.7%—
Epoch Capabilities Index154.49—
ForecastBench—57.7

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), Qwen1.5-110B: 33.7 (#201)

BenchmarkDeepSeek V4 FlashQwen1.5-110B
LMArena Math14271185
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench56%—

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), Qwen1.5-110B: 31.2 (#219)

BenchmarkDeepSeek V4 FlashQwen1.5-110B
LMArena Expert14411144
GPQA Diamond91%—
SimpleQA Verified33.6%—

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.0 (#72), Qwen1.5-110B: 33.6 (#250)

BenchmarkDeepSeek V4 FlashQwen1.5-110B
LMArena Non-English14201142
LMArena Chinese14681206
LMArena French14391151
LMArena German14181123
LMArena Japanese14061074
LMArena Korean13841044
LMArena Russian14281118
LMArena Spanish14361142

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), Qwen1.5-110B: 60.3 (#252)

BenchmarkDeepSeek V4 FlashQwen1.5-110B
LMArena Instruction Following14211158

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#85), Qwen1.5-110B: 35.1 (#242)

BenchmarkDeepSeek V4 FlashQwen1.5-110B
LMArena Longer Query14341157

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), Qwen1.5-110B: 38.0 (#255)

BenchmarkDeepSeek V4 FlashQwen1.5-110B
LMArena Text14321175
LMArena Creative Writing14031148
LMArena Multi-Turn14491160
EQ-Bench Creative Writing1559—

Frequently asked questions

Is DeepSeek V4 Flash better than Qwen1.5-110B?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 34.2 on the Noometry Index.

Is DeepSeek V4 Flash or Qwen1.5-110B better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 33.0 in the Noometry coding category.

How many benchmarks do DeepSeek V4 Flash and Qwen1.5-110B share?

17 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Qwen1.5-110B has 20.

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