Model comparison

DeepSeek V4 Flash vs Gemini 2.0 Flash-Lite

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 37.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

Gemini 2.0 Flash-Lite Google

37.8

Rank #194 Confirmed

Summary

  • They share 18 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Gemini 2.0 Flash-Lite in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 22.0.
  • The biggest single-benchmark swing is DTBench: 90.9% for DeepSeek V4 Flash and 52.5% for Gemini 2.0 Flash-Lite.
  • DeepSeek V4 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4 Flash and Gemini 2.0 Flash-Lite specifications
DeepSeek V4 FlashGemini 2.0 Flash-Lite
ProviderDeepSeekGoogle
Noometry Index53.637.8
Released2026-04-242025-02-05
WeightsOpenProprietary
Context window1M—
Max output393K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked4132

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), Gemini 2.0 Flash-Lite: 37.9 (#185)

Coding benchmarks
BenchmarkDeepSeek V4 FlashGemini 2.0 Flash-Lite
LMArena Coding14571322
FrontierCode18.8%—
LMArena WebDev1582—
SciCode49.9%—
WeirdML63%—
LiveBench Coding—47.1%
ALE-Bench1,306—

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Gemini 2.0 Flash-Lite: 22.0 (#210)

Reasoning benchmarks
BenchmarkDeepSeek V4 FlashGemini 2.0 Flash-Lite
LMArena Hard Prompts14441324
DTBench90.9%52.5%
ARC-AGI-261.4%—
SimpleBench61.1%—
Kagi LLM Benchmark52.2%—
NYT Connections (extended)89.6%—
ARC-AGI-189%—
CritPt16.6%—
Chess Puzzles33%—
LiveBench Reasoning—50.1%
Mystery Game Puzzles34%—
LiveBench Data Analysis—65.5%
LMCA41.7%—
Epoch Capabilities Index154.49—
ForecastBench—57.1
LiveBench—54.3%

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), Gemini 2.0 Flash-Lite: 34.1 (#196)

Math benchmarks
BenchmarkDeepSeek V4 FlashGemini 2.0 Flash-Lite
LMArena Math14271309
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench56%—
Omni-MATH—37.4%
LiveBench Math—58.1%

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), Gemini 2.0 Flash-Lite: 35.0 (#189)

Knowledge benchmarks
BenchmarkDeepSeek V4 FlashGemini 2.0 Flash-Lite
LMArena Expert14411305
GPQA Diamond91%—
SimpleQA Verified33.6%—
MMLU-Pro—72%
GPQA (HELM)—50%

Multimodal Not comparable

DeepSeek V4 Flash: —, Gemini 2.0 Flash-Lite: 31.2 (#109)

Multimodal benchmarks
BenchmarkDeepSeek V4 FlashGemini 2.0 Flash-Lite
LMArena Vision—1100

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.0 (#72), Gemini 2.0 Flash-Lite: 46.0 (#161)

Multilingual benchmarks
BenchmarkDeepSeek V4 FlashGemini 2.0 Flash-Lite
LMArena Non-English14201323
LMArena Chinese14681339
LMArena French14391347
LMArena German14181306
LMArena Japanese14061301
LMArena Korean13841325
LMArena Russian14281328
LMArena Spanish14361313

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), Gemini 2.0 Flash-Lite: 70.4 (#163)

Instruction Following benchmarks
BenchmarkDeepSeek V4 FlashGemini 2.0 Flash-Lite
LMArena Instruction Following14211305
LiveBench Instruction Following—78.3%
IFEval—82.4%

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#85), Gemini 2.0 Flash-Lite: 40.1 (#160)

Long Context benchmarks
BenchmarkDeepSeek V4 FlashGemini 2.0 Flash-Lite
LMArena Longer Query14341320

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), Gemini 2.0 Flash-Lite: 51.7 (#177)

Writing & Preference benchmarks
BenchmarkDeepSeek V4 FlashGemini 2.0 Flash-Lite
LMArena Text14321330
LMArena Creative Writing14031319
LMArena Multi-Turn14491307
EQ-Bench Creative Writing1559—
WildBench—79%
LiveBench Language—34.3%

Frequently asked questions

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

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 37.8 on the Noometry Index.

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

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 37.9 in the Noometry coding category.

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

18 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.

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