Noometry

Model comparison

DeepSeek V4.1 Flash vs Qwen3 32B

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 38.8 on the Noometry Index.

Last verified . 17 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

Qwen3 32B Alibaba (Qwen)

38.8

Rank #166 Confirmed

Summary

  • They share 17 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Qwen3 32B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 19.6.
  • The biggest single-benchmark swing is LMCA: 47% for DeepSeek V4.1 Flash and 17.3% for Qwen3 32B.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4.1 FlashQwen3 32B
ProviderDeepSeekAlibaba (Qwen)
Noometry Index50.338.8
Released2026-09-092025-04
WeightsOpenOpen
Context window1M131K
Max output393K16K
Input $ / M tokens$0.15$0.70
Output $ / M tokens$0.60$2.80
Results tracked2526

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), Qwen3 32B: 37.3 (#184)

BenchmarkDeepSeek V4.1 FlashQwen3 32B
SciCode51.9%35.4%
LMArena Coding15111358
Aider Polyglot—40%
LMArena WebDev1620—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: —, Qwen3 32B: 32.3 (#58)

BenchmarkDeepSeek V4.1 FlashQwen3 32B
Berkeley Function Calling Leaderboard—48.7%

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 46.2 (#39), Qwen3 32B: 19.6 (#233)

BenchmarkDeepSeek V4.1 FlashQwen3 32B
CritPt14.3%0.3%
LMArena Hard Prompts14851335
DTBench89.9%67.5%
LMCA47%17.3%
Epoch Capabilities Index155.01138.51
Kagi LLM Benchmark—54.9%
NYT Connections (extended)89.6%—
Chess Puzzles—5%
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 48.4 (#52), Qwen3 32B: 37.9 (#89)

BenchmarkDeepSeek V4.1 FlashQwen3 32B
LMArena Math14931399
OTIS Mock AIME 2024-2025—66.9%
ProofBench54%—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 41.6 (#97), Qwen3 32B: 40.0 (#112)

BenchmarkDeepSeek V4.1 FlashQwen3 32B
LMArena Expert15051362
GPQA Diamond—65.7%
Vectara Hallucination Rate—5.9%

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.5 (#29), Qwen3 32B: 45.8 (#162)

BenchmarkDeepSeek V4.1 FlashQwen3 32B
LMArena Non-English14521317
LMArena Chinese15061357
LMArena Russian14731311
LMArena French1448—
LMArena German—1341
LMArena Spanish1499—

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.6 (#24), Qwen3 32B: 69.1 (#174)

BenchmarkDeepSeek V4.1 FlashQwen3 32B
LMArena Instruction Following14751305

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#46), Qwen3 32B: 43.7 (#83)

BenchmarkDeepSeek V4.1 FlashQwen3 32B
LMArena Longer Query14761327
Fiction.LiveBench—74.2%

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.8 (#43), Qwen3 32B: 53.1 (#158)

BenchmarkDeepSeek V4.1 FlashQwen3 32B
LMArena Text14651340
LMArena Creative Writing14361297
LMArena Multi-Turn14601331
EQ-Bench Creative Writing1540—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Qwen3 32B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 38.8 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Qwen3 32B?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

Is DeepSeek V4.1 Flash or Qwen3 32B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 37.3 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 131K.

How many benchmarks do DeepSeek V4.1 Flash and Qwen3 32B share?

17 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Qwen3 32B has 26.

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