Noometry

Model comparison

DeepSeek V4.1 Flash vs Gemini 2.0 Flash-Lite

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 37.8 on the Noometry Index.

Last verified . 19 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Gemini 2.0 Flash-Lite Google

37.8

Rank #194 Confirmed

Summary

  • They share 19 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and Gemini 2.0 Flash-Lite in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 34.1.
  • The biggest single-benchmark swing is DTBench: 89.9% for DeepSeek V4.1 Flash and 52.5% for Gemini 2.0 Flash-Lite.
  • DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4.1 FlashGemini 2.0 Flash-Lite
ProviderDeepSeekGoogle
Noometry Index52.837.8
Released2026-09-092025-02-05
WeightsOpenProprietary
Context window1M—
Max output393K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked3732

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Gemini 2.0 Flash-Lite: 37.9 (#185)

BenchmarkDeepSeek V4.1 FlashGemini 2.0 Flash-Lite
LMArena Coding15061322
LMArena WebDev1619—
SciCode51.9%—
LiveBench Coding—47.1%
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Gemini 2.0 Flash-Lite: —

BenchmarkDeepSeek V4.1 FlashGemini 2.0 Flash-Lite
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Gemini 2.0 Flash-Lite: 22.0 (#210)

BenchmarkDeepSeek V4.1 FlashGemini 2.0 Flash-Lite
LMArena Hard Prompts14831324
DTBench89.9%52.5%
NYT Connections (extended)89.6%—
CritPt14.3%—
LiveBench Reasoning—50.1%
Mystery Game Puzzles43%—
LiveBench Data Analysis—65.5%
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index154.9—
ForecastBench—57.1
LiveBench—54.3%

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Gemini 2.0 Flash-Lite: 34.1 (#196)

BenchmarkDeepSeek V4.1 FlashGemini 2.0 Flash-Lite
LMArena Math14771309
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—
Omni-MATH—37.4%
LiveBench Math—58.1%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Gemini 2.0 Flash-Lite: 35.0 (#189)

BenchmarkDeepSeek V4.1 FlashGemini 2.0 Flash-Lite
LMArena Expert15061305
GPQA Diamond89.8%—
MMLU-Pro—72%
GPQA (HELM)—50%

Multimodal DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 39.1 (#61), Gemini 2.0 Flash-Lite: 31.2 (#109)

BenchmarkDeepSeek V4.1 FlashGemini 2.0 Flash-Lite
LMArena Vision12771100
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Gemini 2.0 Flash-Lite: 46.0 (#161)

BenchmarkDeepSeek V4.1 FlashGemini 2.0 Flash-Lite
LMArena Non-English14481323
LMArena Chinese14971339
LMArena French14521347
LMArena German14841306
LMArena Japanese14121301
LMArena Korean14521325
LMArena Russian14711328
LMArena Spanish14591313

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Gemini 2.0 Flash-Lite: 70.4 (#163)

BenchmarkDeepSeek V4.1 FlashGemini 2.0 Flash-Lite
LMArena Instruction Following14741305
LiveBench Instruction Following—78.3%
IFEval—82.4%

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Gemini 2.0 Flash-Lite: 40.1 (#160)

BenchmarkDeepSeek V4.1 FlashGemini 2.0 Flash-Lite
LMArena Longer Query14751320

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Gemini 2.0 Flash-Lite: 51.7 (#177)

BenchmarkDeepSeek V4.1 FlashGemini 2.0 Flash-Lite
LMArena Text14621330
LMArena Creative Writing14351319
LMArena Multi-Turn14571307
EQ-Bench Creative Writing1540—
WildBench—79%
LiveBench Language—34.3%

Frequently asked questions

Is DeepSeek V4.1 Flash better than Gemini 2.0 Flash-Lite?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 37.8 on the Noometry Index.

Is DeepSeek V4.1 Flash or Gemini 2.0 Flash-Lite better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 37.9 in the Noometry coding category.

How many benchmarks do DeepSeek V4.1 Flash and Gemini 2.0 Flash-Lite share?

19 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.

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