Noometry

Model comparison

DeepSeek V4.1 Flash vs Qwen3.5 27B

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 41.9 on the Noometry Index.

Last verified . 23 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Qwen3.5 27B Alibaba (Qwen)

41.9

Rank #127 Confirmed

Summary

  • They share 23 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Qwen3.5 27B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 38.8.
  • The biggest single-benchmark swing is NYT Connections (extended): 89.6% for DeepSeek V4.1 Flash and 47.9% for Qwen3.5 27B.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.30 / $2.40 for Qwen3.5 27B.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.

Side by side

DeepSeek V4.1 FlashQwen3.5 27B
ProviderDeepSeekAlibaba (Qwen)
Noometry Index52.841.9
Released2026-09-092026-02-23
WeightsOpenOpen
Context window1M262K
Max output393K66K
Input $ / M tokens$0.15$0.30
Output $ / M tokens$0.60$2.40
Results tracked3728

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Qwen3.5 27B: 38.9 (#168)

BenchmarkDeepSeek V4.1 FlashQwen3.5 27B
LMArena WebDev16191358
LMArena Coding15061427
ALE-Bench1,092349.45
SciCode51.9%—
WeirdML—39.5%

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Qwen3.5 27B: —

BenchmarkDeepSeek V4.1 FlashQwen3.5 27B
APEX-Agents39.5%—
GDP.pdf19.8%—
Vending-Bench 2—201.98

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Qwen3.5 27B: 27.5 (#117)

BenchmarkDeepSeek V4.1 FlashQwen3.5 27B
NYT Connections (extended)89.6%47.9%
LMArena Hard Prompts14831414
DTBench89.9%82.4%
LMCA47%34%
CritPt14.3%—
Thematic Generalization—45.5%
Mystery Game Puzzles43%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index154.9—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Qwen3.5 27B: 38.8 (#127)

BenchmarkDeepSeek V4.1 FlashQwen3.5 27B
LMArena Math14771429
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions—56.7%
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Qwen3.5 27B: 38.0 (#150)

BenchmarkDeepSeek V4.1 FlashQwen3.5 27B
LMArena Expert15061428
GPQA Diamond89.8%—
Vectara Hallucination Rate—12.1%

Multimodal Too close to call

DeepSeek V4.1 Flash: 39.1 (#61), Qwen3.5 27B: 39.4 (#59)

BenchmarkDeepSeek V4.1 FlashQwen3.5 27B
LMArena Vision12771241
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Qwen3.5 27B: 50.8 (#115)

BenchmarkDeepSeek V4.1 FlashQwen3.5 27B
LMArena Non-English14481390
LMArena Chinese14971478
LMArena French14521410
LMArena German14841393
LMArena Japanese14121345
LMArena Korean14521358
LMArena Russian14711390
LMArena Spanish14591407

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Qwen3.5 27B: 73.5 (#119)

BenchmarkDeepSeek V4.1 FlashQwen3.5 27B
LMArena Instruction Following14741393

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Qwen3.5 27B: 43.1 (#106)

BenchmarkDeepSeek V4.1 FlashQwen3.5 27B
LMArena Longer Query14751413

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Qwen3.5 27B: 59.3 (#111)

BenchmarkDeepSeek V4.1 FlashQwen3.5 27B
LMArena Text14621409
LMArena Creative Writing14351362
LMArena Multi-Turn14571410
EQ-Bench Creative Writing1540—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Qwen3.5 27B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 41.9 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Qwen3.5 27B?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen3.5 27B lists at $0.30 and $2.40.

Is DeepSeek V4.1 Flash or Qwen3.5 27B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 262K.

How many benchmarks do DeepSeek V4.1 Flash and Qwen3.5 27B share?

23 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Qwen3.5 27B has 28.

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