Model comparison

DeepSeek V4.1 Flash vs Qwen3.6 27B

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.2 on the Noometry Index.

Last verified . 9 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Qwen3.6 27B Alibaba (Qwen)

42.2

Rank #117 Confirmed

Summary

  • They share 9 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 5 categories and Qwen3.6 27B in 0 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 25.0.
  • The biggest single-benchmark swing is Mystery Game Puzzles: 43% for DeepSeek V4.1 Flash and 7% for Qwen3.6 27B.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.60 / $3.60 for Qwen3.6 27B.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.

Side by side

DeepSeek V4.1 Flash and Qwen3.6 27B specifications
DeepSeek V4.1 FlashQwen3.6 27B
ProviderDeepSeekAlibaba (Qwen)
Noometry Index52.842.2
Released2026-09-092026-04-22
WeightsOpenOpen
Context window1M262K
Max output393K66K
Input $ / M tokens$0.15$0.60
Output $ / M tokens$0.60$3.60
Results tracked3711

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Qwen3.6 27B: 39.1 (#163)

Coding benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3.6 27B
SciCode51.9%37.3%
LMArena WebDev1619—
LMArena Coding1506—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Qwen3.6 27B: —

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3.6 27B
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Qwen3.6 27B: 25.0 (#153)

Reasoning benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3.6 27B
CritPt14.3%0.9%
Mystery Game Puzzles43%7%
DTBench89.9%78.1%
LMCA47%34.5%
Epoch Capabilities Index154.9146.5
NYT Connections (extended)89.6%—
Chess Puzzles—22%
LMArena Hard Prompts1483—
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Qwen3.6 27B: 48.5 (#62)

Math benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3.6 27B
FrontierMath (Tiers 1-3)67.4%35.1%
OTIS Mock AIME 2024-202598.3%91.1%
FrontierMath Tier 426.8%—
ProofBench54%—
LMArena Math1477—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Qwen3.6 27B: 52.4 (#63)

Knowledge benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3.6 27B
GPQA Diamond89.8%85.9%
LMArena Expert1506—

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), Qwen3.6 27B: —

Multimodal benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3.6 27B
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual Not comparable

DeepSeek V4.1 Flash: 55.0 (#35), Qwen3.6 27B: —

Multilingual benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3.6 27B
LMArena Non-English1448—
LMArena Chinese1497—
LMArena French1452—
LMArena German1484—
LMArena Japanese1412—
LMArena Korean1452—
LMArena Russian1471—
LMArena Spanish1459—

Instruction Following Not comparable

DeepSeek V4.1 Flash: 77.3 (#26), Qwen3.6 27B: —

Instruction Following benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3.6 27B
LMArena Instruction Following1474—

Long Context Not comparable

DeepSeek V4.1 Flash: 45.2 (#47), Qwen3.6 27B: —

Long Context benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3.6 27B
LMArena Longer Query1475—

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Qwen3.6 27B: 50.3 (#181)

Writing & Preference benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3.6 27B
LMArena Text1462—
LMArena Creative Writing1435—
EQ-Bench Creative Writing1540—
EQ-Bench 4—1026
LMArena Multi-Turn1457—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Qwen3.6 27B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.2 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Qwen3.6 27B?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen3.6 27B lists at $0.60 and $3.60.

Is DeepSeek V4.1 Flash or Qwen3.6 27B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 39.1 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 Qwen3.6 27B share?

9 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Qwen3.6 27B has 11.

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