Noometry

Model comparison

DeepSeek V4 Flash vs Qwen1.5-72B

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 30.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

Qwen1.5-72B Alibaba (Qwen)

30.8

Rank #285 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Qwen1.5-72B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where DeepSeek V4 Flash leads 55.4 to 11.5.
  • The biggest single-benchmark swing is GPQA Diamond: 91% for DeepSeek V4 Flash and 28.8% for Qwen1.5-72B.

Side by side

DeepSeek V4 FlashQwen1.5-72B
ProviderDeepSeekAlibaba (Qwen)
Noometry Index53.630.8
Released2026-04-242024-02-04
WeightsOpenOpen
Context window1M—
Max output393K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked4122

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), Qwen1.5-72B: 31.9 (#277)

BenchmarkDeepSeek V4 FlashQwen1.5-72B
LMArena Coding14571165
FrontierCode18.8%—
LMArena WebDev1582—
SciCode49.9%—
WeirdML63%—
BigCodeBench Instruct—33.2%
BigCodeBench Complete—40.3%
ALE-Bench1,306—
HumanEval+—59.1%
MBPP+—61.6%

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Qwen1.5-72B: 22.2 (#203)

BenchmarkDeepSeek V4 FlashQwen1.5-72B
LMArena Hard Prompts14441148
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—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), Qwen1.5-72B: 33.2 (#205)

BenchmarkDeepSeek V4 FlashQwen1.5-72B
LMArena Math14271164
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), Qwen1.5-72B: 11.5 (#300)

BenchmarkDeepSeek V4 FlashQwen1.5-72B
GPQA Diamond91%28.8%
LMArena Expert14411136
SimpleQA Verified33.6%—

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.0 (#72), Qwen1.5-72B: 33.2 (#253)

BenchmarkDeepSeek V4 FlashQwen1.5-72B
LMArena Non-English14201135
LMArena Chinese14681186
LMArena French14391159
LMArena German14181084
LMArena Japanese14061061
LMArena Korean13841050
LMArena Russian14281104
LMArena Spanish14361110

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), Qwen1.5-72B: 59.3 (#256)

BenchmarkDeepSeek V4 FlashQwen1.5-72B
LMArena Instruction Following14211141

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#85), Qwen1.5-72B: 35.1 (#243)

BenchmarkDeepSeek V4 FlashQwen1.5-72B
LMArena Longer Query14341157

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), Qwen1.5-72B: 37.3 (#258)

BenchmarkDeepSeek V4 FlashQwen1.5-72B
LMArena Text14321166
LMArena Creative Writing14031137
LMArena Multi-Turn14491160
EQ-Bench Creative Writing1559—

Frequently asked questions

Is DeepSeek V4 Flash better than Qwen1.5-72B?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 30.8 on the Noometry Index.

Is DeepSeek V4 Flash or Qwen1.5-72B better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 31.9 in the Noometry coding category.

How many benchmarks do DeepSeek V4 Flash and Qwen1.5-72B share?

18 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Qwen1.5-72B has 22.

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