Model comparison

DeepSeek V4 Flash vs Qwen3 32B

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 39.2 on the Noometry Index.

Last verified . 22 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 22 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Qwen3 32B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 20.2.
  • The biggest single-benchmark swing is Chess Puzzles: 33% for DeepSeek V4 Flash and 5% for Qwen3 32B.
  • DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
  • DeepSeek V4 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4 Flash and Qwen3 32B specifications
DeepSeek V4 FlashQwen3 32B
ProviderDeepSeekAlibaba (Qwen)
Noometry Index53.639.2
Released2026-04-242025-04
WeightsOpenOpen
Context window1M131K
Max output393K16K
Input $ / M tokens$0.15$0.70
Output $ / M tokens$0.60$2.80
Results tracked4126

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), Qwen3 32B: 37.7 (#190)

Coding benchmarks
BenchmarkDeepSeek V4 FlashQwen3 32B
SciCode49.9%35.4%
LMArena Coding14571358
FrontierCode18.8%—
Aider Polyglot—40%
LMArena WebDev1582—
WeirdML63%—
ALE-Bench1,306—

Agentic & Tool Use Not comparable

DeepSeek V4 Flash: —, Qwen3 32B: 32.6 (#62)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4 FlashQwen3 32B
Berkeley Function Calling Leaderboard—48.7%

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Qwen3 32B: 20.2 (#241)

Reasoning benchmarks
BenchmarkDeepSeek V4 FlashQwen3 32B
Kagi LLM Benchmark52.2%54.9%
CritPt16.6%0.3%
Chess Puzzles33%5%
LMArena Hard Prompts14441334
DTBench90.9%67.5%
LMCA41.7%17.3%
Epoch Capabilities Index154.49138.51
ARC-AGI-261.4%—
SimpleBench61.1%—
NYT Connections (extended)89.6%—
ARC-AGI-189%—
Mystery Game Puzzles34%—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), Qwen3 32B: 39.7 (#99)

Math benchmarks
BenchmarkDeepSeek V4 FlashQwen3 32B
OTIS Mock AIME 2024-202594.4%66.9%
LMArena Math14271399
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
ProofBench56%—

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), Qwen3 32B: 40.0 (#125)

Knowledge benchmarks
BenchmarkDeepSeek V4 FlashQwen3 32B
GPQA Diamond91%65.7%
LMArena Expert14411362
SimpleQA Verified33.6%—
Vectara Hallucination Rate—5.9%

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.0 (#72), Qwen3 32B: 45.6 (#167)

Multilingual benchmarks
BenchmarkDeepSeek V4 FlashQwen3 32B
LMArena Non-English14201317
LMArena Chinese14681357
LMArena German14181341
LMArena Russian14281311
LMArena French1439—
LMArena Japanese1406—
LMArena Korean1384—
LMArena Spanish1436—

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), Qwen3 32B: 68.9 (#179)

Instruction Following benchmarks
BenchmarkDeepSeek V4 FlashQwen3 32B
LMArena Instruction Following14211305

Long Context Too close to call

DeepSeek V4 Flash: 43.8 (#85), Qwen3 32B: 43.8 (#87)

Long Context benchmarks
BenchmarkDeepSeek V4 FlashQwen3 32B
LMArena Longer Query14341327
Fiction.LiveBench—74.2%

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), Qwen3 32B: 52.9 (#163)

Writing & Preference benchmarks
BenchmarkDeepSeek V4 FlashQwen3 32B
LMArena Text14321340
LMArena Creative Writing14031297
LMArena Multi-Turn14491331
EQ-Bench Creative Writing1559—

Frequently asked questions

Is DeepSeek V4 Flash better than Qwen3 32B?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 39.2 on the Noometry Index.

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

DeepSeek V4 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 Flash or Qwen3 32B better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 37.7 in the Noometry coding category.

Which has the bigger context window?

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

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

22 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Qwen3 32B has 26.

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