Model comparison

DeepSeek V4.1 Flash vs Qwen3 14B

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 35.5 on the Noometry Index.

Last verified . 7 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Qwen3 14B Alibaba (Qwen)

35.5

Rank #225 Confirmed

Summary

  • They share 7 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 6 categories and Qwen3 14B in 0 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 18.5.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 66.4% for Qwen3 14B.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4.1 Flash and Qwen3 14B specifications
DeepSeek V4.1 FlashQwen3 14B
ProviderDeepSeekAlibaba (Qwen)
Noometry Index52.835.5
Released2026-09-092025-04
WeightsOpenOpen
Context window1M131K
Max output393K8K
Input $ / M tokens$0.15$0.35
Output $ / M tokens$0.60$1.40
Results tracked3712

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Qwen3 14B: 37.3 (#195)

Coding benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3 14B
SciCode51.9%31.6%
LMArena WebDev1619—
LMArena Coding1506—
ALE-Bench1,092—

Agentic & Tool Use DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 31.2 (#69), Qwen3 14B: 29.6 (#83)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3 14B
APEX-Agents39.5%—
Berkeley Function Calling Leaderboard—41%
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Qwen3 14B: 18.5 (#280)

Reasoning benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3 14B
CritPt14.3%0%
DTBench89.9%64%
LMCA47%18.2%
Epoch Capabilities Index154.9138.23
Kagi LLM Benchmark—49.1%
NYT Connections (extended)89.6%—
Chess Puzzles—4%
LMArena Hard Prompts1483—
Mystery Game Puzzles43%—
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Qwen3 14B: 38.6 (#133)

Math benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3 14B
OTIS Mock AIME 2024-202598.3%66.4%
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
ProofBench54%—
LMArena Math1477—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Qwen3 14B: 39.3 (#134)

Knowledge benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3 14B
GPQA Diamond89.8%63.8%
Vectara Hallucination Rate—5.4%
LMArena Expert1506—

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), Qwen3 14B: —

Multimodal benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3 14B
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual Not comparable

DeepSeek V4.1 Flash: 55.0 (#35), Qwen3 14B: —

Multilingual benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3 14B
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 14B: —

Instruction Following benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3 14B
LMArena Instruction Following1474—

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Qwen3 14B: 38.1 (#204)

Long Context benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3 14B
Fiction.LiveBench—62.5%
LMArena Longer Query1475—

Writing & Preference Not comparable

DeepSeek V4.1 Flash: 65.4 (#48), Qwen3 14B: —

Writing & Preference benchmarks
BenchmarkDeepSeek V4.1 FlashQwen3 14B
LMArena Text1462—
LMArena Creative Writing1435—
EQ-Bench Creative Writing1540—
LMArena Multi-Turn1457—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Qwen3 14B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 35.5 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Qwen3 14B?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.

Is DeepSeek V4.1 Flash or Qwen3 14B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 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 14B share?

7 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Qwen3 14B has 12.

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