Model comparison

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

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 29.4 on the Noometry Index.

Last verified . 1 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #32 Confirmed

Summary

  • They share 1 benchmark with published results for both. DeepSeek V4 Flash scores higher in 1 category and Qwen2.5-VL 72B Instruct in 0 categories; one gap is clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 20.0.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 52.2% for DeepSeek V4 Flash and 36% for Qwen2.5-VL 72B Instruct.
  • DeepSeek V4 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 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4 Flash and Qwen2.5-VL 72B Instruct specifications
DeepSeek V4 FlashQwen2.5-VL 72B Instruct
ProviderDeepSeekAlibaba (Qwen)
Noometry Index53.629.4
Released2026-04-242024-09
WeightsOpenOpen
Context window1M131K
Max output393K8K
Input $ / M tokens$0.15$2.80
Output $ / M tokens$0.60$8.40
Results tracked416

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Category by category

Coding Not comparable

DeepSeek V4 Flash: 47.6 (#56), Qwen2.5-VL 72B Instruct: —

Coding benchmarks
BenchmarkDeepSeek V4 FlashQwen2.5-VL 72B Instruct
FrontierCode18.8%—
LMArena WebDev1581—
SciCode49.9%—
WeirdML63%—
LMArena Coding1457—
ALE-Bench1,306—

Agentic & Tool Use Not comparable

DeepSeek V4 Flash: —, Qwen2.5-VL 72B Instruct: 18.4 (#136)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4 FlashQwen2.5-VL 72B Instruct
OSWorld—5%

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#25), Qwen2.5-VL 72B Instruct: 20.0 (#228)

Reasoning benchmarks
BenchmarkDeepSeek V4 FlashQwen2.5-VL 72B Instruct
Kagi LLM Benchmark52.2%36%
ARC-AGI-261.4%—
SimpleBench61.1%—
NYT Connections (extended)89.6%—
ARC-AGI-189%—
CritPt16.6%—
Chess Puzzles33%—
LMArena Hard Prompts1443—
Mystery Game Puzzles34%—
DTBench90.9%—
LMCA41.7%—
Epoch Capabilities Index154.51—

Math Not comparable

DeepSeek V4 Flash: 60.0 (#31), Qwen2.5-VL 72B Instruct: —

Math benchmarks
BenchmarkDeepSeek V4 FlashQwen2.5-VL 72B Instruct
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench56%—
LMArena Math1427—

Knowledge Not comparable

DeepSeek V4 Flash: 55.5 (#43), Qwen2.5-VL 72B Instruct: —

Knowledge benchmarks
BenchmarkDeepSeek V4 FlashQwen2.5-VL 72B Instruct
GPQA Diamond91%—
SimpleQA Verified33.6%—
LMArena Expert1441—

Multimodal Not comparable

DeepSeek V4 Flash: —, Qwen2.5-VL 72B Instruct: 32.9 (#92)

Multimodal benchmarks
BenchmarkDeepSeek V4 FlashQwen2.5-VL 72B Instruct
LMArena Vision—1107
Video-MME—73.5%
GeoBench—62%
SpatialViz-Bench—33.3%

Multilingual Not comparable

DeepSeek V4 Flash: 53.2 (#71), Qwen2.5-VL 72B Instruct: —

Multilingual benchmarks
BenchmarkDeepSeek V4 FlashQwen2.5-VL 72B Instruct
LMArena Non-English1420—
LMArena Chinese1467—
LMArena French1438—
LMArena German1418—
LMArena Japanese1403—
LMArena Korean1383—
LMArena Russian1428—
LMArena Spanish1437—

Instruction Following Not comparable

DeepSeek V4 Flash: 75.1 (#76), Qwen2.5-VL 72B Instruct: —

Instruction Following benchmarks
BenchmarkDeepSeek V4 FlashQwen2.5-VL 72B Instruct
LMArena Instruction Following1421—

Long Context Not comparable

DeepSeek V4 Flash: 43.8 (#81), Qwen2.5-VL 72B Instruct: —

Long Context benchmarks
BenchmarkDeepSeek V4 FlashQwen2.5-VL 72B Instruct
LMArena Longer Query1435—

Writing & Preference Not comparable

DeepSeek V4 Flash: 64.0 (#59), Qwen2.5-VL 72B Instruct: —

Writing & Preference benchmarks
BenchmarkDeepSeek V4 FlashQwen2.5-VL 72B Instruct
LMArena Text1432—
LMArena Creative Writing1403—
EQ-Bench Creative Writing1559—
LMArena Multi-Turn1449—

Frequently asked questions

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

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 29.4 on the Noometry Index.

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

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

How many benchmarks do DeepSeek V4 Flash and Qwen2.5-VL 72B Instruct share?

1 benchmark has published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.

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