Noometry

Model comparison

DeepSeek V4.1 Flash vs Qwen2.5-VL 72B Instruct

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 29.9 on the Noometry Index.

Last verified . 1 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Qwen2.5-VL 72B Instruct Alibaba (Qwen)

29.9

Rank #302 Confirmed

Summary

  • They share 1 benchmark with published results for both. DeepSeek V4.1 Flash scores higher in 3 categories and Qwen2.5-VL 72B Instruct in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 20.7.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
ProviderDeepSeekAlibaba (Qwen)
Noometry Index52.829.9
Released2026-09-092024-09
WeightsOpenOpen
Context window1M131K
Max output393K8K
Input $ / M tokens$0.15$2.80
Output $ / M tokens$0.60$8.40
Results tracked376

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Category by category

Coding Not comparable

DeepSeek V4.1 Flash: 52.9 (#32), Qwen2.5-VL 72B Instruct: —

BenchmarkDeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
LMArena WebDev1619—
SciCode51.9%—
LMArena Coding1506—
ALE-Bench1,092—

Agentic & Tool Use DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 31.2 (#69), Qwen2.5-VL 72B Instruct: 18.6 (#144)

BenchmarkDeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
APEX-Agents39.5%—
OSWorld—5%
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Qwen2.5-VL 72B Instruct: 20.7 (#233)

BenchmarkDeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
Kagi LLM Benchmark—36%
NYT Connections (extended)89.6%—
CritPt14.3%—
LMArena Hard Prompts1483—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index154.9—

Math Not comparable

DeepSeek V4.1 Flash: 66.7 (#25), Qwen2.5-VL 72B Instruct: —

BenchmarkDeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—
LMArena Math1477—

Knowledge Not comparable

DeepSeek V4.1 Flash: 57.9 (#38), Qwen2.5-VL 72B Instruct: —

BenchmarkDeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
GPQA Diamond89.8%—
LMArena Expert1506—

Multimodal DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 39.1 (#61), Qwen2.5-VL 72B Instruct: 33.5 (#97)

BenchmarkDeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
LMArena Vision12771107
Video-MME—73.5%
GeoBench—62%
Furniture Assembly34.2%—
SpatialViz-Bench—33.3%

Multilingual Not comparable

DeepSeek V4.1 Flash: 55.0 (#35), Qwen2.5-VL 72B Instruct: —

BenchmarkDeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
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), Qwen2.5-VL 72B Instruct: —

BenchmarkDeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
LMArena Instruction Following1474—

Long Context Not comparable

DeepSeek V4.1 Flash: 45.2 (#47), Qwen2.5-VL 72B Instruct: —

BenchmarkDeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
LMArena Longer Query1475—

Writing & Preference Not comparable

DeepSeek V4.1 Flash: 65.4 (#48), Qwen2.5-VL 72B Instruct: —

BenchmarkDeepSeek V4.1 FlashQwen2.5-VL 72B Instruct
LMArena Text1462—
LMArena Creative Writing1435—
EQ-Bench Creative Writing1540—
LMArena Multi-Turn1457—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Qwen2.5-VL 72B Instruct?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 29.9 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Qwen2.5-VL 72B Instruct?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.

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 Qwen2.5-VL 72B Instruct share?

1 benchmark has published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.

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