Noometry

Model comparison

DeepSeek V4 Flash vs Gemini 2.5 Flash-Lite

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 36.4 on the Noometry Index.

Last verified . 23 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #32 Confirmed

Gemini 2.5 Flash-Lite Google

36.4

Rank #208 Confirmed

Summary

  • They share 23 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Gemini 2.5 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 21.5.
  • The biggest single-benchmark swing is DTBench: 90.9% for DeepSeek V4 Flash and 62.8% for Gemini 2.5 Flash-Lite.
  • Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4 Flash.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 1M.
  • DeepSeek V4 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4 FlashGemini 2.5 Flash-Lite
ProviderDeepSeekGoogle
Noometry Index53.636.4
Released2026-04-242025-06-17
WeightsOpenProprietary
Context window1M1.05M
Max output393K66K
Input $ / M tokens$0.15$0.10
Output $ / M tokens$0.60$0.40
Results tracked4133

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.6 (#56), Gemini 2.5 Flash-Lite: 38.0 (#167)

BenchmarkDeepSeek V4 FlashGemini 2.5 Flash-Lite
WeirdML63%35.2%
LMArena Coding14571373
ALE-Bench1,306325.9
FrontierCode18.8%—
LMArena WebDev1581—
SciCode49.9%—

Agentic & Tool Use Not comparable

DeepSeek V4 Flash: —, Gemini 2.5 Flash-Lite: 27.8 (#89)

BenchmarkDeepSeek V4 FlashGemini 2.5 Flash-Lite
Berkeley Function Calling Leaderboard—36.9%

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#25), Gemini 2.5 Flash-Lite: 21.5 (#196)

BenchmarkDeepSeek V4 FlashGemini 2.5 Flash-Lite
Kagi LLM Benchmark52.2%40.5%
LMArena Hard Prompts14431377
DTBench90.9%62.8%
LMCA41.7%18.1%
Epoch Capabilities Index154.51133.93
ARC-AGI-261.4%—
SimpleBench61.1%—
NYT Connections (extended)89.6%—
ARC-AGI-189%—
CritPt16.6%—
Chess Puzzles33%—
Mystery Game Puzzles34%—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.0 (#31), Gemini 2.5 Flash-Lite: 35.5 (#144)

BenchmarkDeepSeek V4 FlashGemini 2.5 Flash-Lite
LMArena Math14271373
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench56%—
Omni-MATH—48%

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.5 (#43), Gemini 2.5 Flash-Lite: 32.1 (#206)

BenchmarkDeepSeek V4 FlashGemini 2.5 Flash-Lite
LMArena Expert14411373
GPQA Diamond91%—
SimpleQA Verified33.6%—
MMLU-Pro—53.7%
Vectara Hallucination Rate—3.3%
GPQA (HELM)—30.9%

Multimodal Not comparable

DeepSeek V4 Flash: —, Gemini 2.5 Flash-Lite: 28.6 (#109)

BenchmarkDeepSeek V4 FlashGemini 2.5 Flash-Lite
LMArena Vision—1198
VPCT—30%

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.2 (#71), Gemini 2.5 Flash-Lite: 49.5 (#129)

BenchmarkDeepSeek V4 FlashGemini 2.5 Flash-Lite
LMArena Non-English14201369
LMArena Chinese14671404
LMArena French14381388
LMArena German14181390
LMArena Japanese14031359
LMArena Korean13831358
LMArena Russian14281373
LMArena Spanish14371396

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 75.1 (#76), Gemini 2.5 Flash-Lite: 70.2 (#163)

BenchmarkDeepSeek V4 FlashGemini 2.5 Flash-Lite
LMArena Instruction Following14211366
IFEval—81%

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#81), Gemini 2.5 Flash-Lite: 33.3 (#257)

BenchmarkDeepSeek V4 FlashGemini 2.5 Flash-Lite
LMArena Longer Query14351373
Fiction.LiveBench—47.2%

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 64.0 (#59), Gemini 2.5 Flash-Lite: 57.0 (#130)

BenchmarkDeepSeek V4 FlashGemini 2.5 Flash-Lite
LMArena Text14321379
LMArena Creative Writing14031366
LMArena Multi-Turn14491367
EQ-Bench Creative Writing1559—
WildBench—81.8%

Frequently asked questions

Is DeepSeek V4 Flash better than Gemini 2.5 Flash-Lite?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 36.4 on the Noometry Index.

Which is cheaper, DeepSeek V4 Flash or Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; DeepSeek V4 Flash lists at $0.15 and $0.60.

Is DeepSeek V4 Flash or Gemini 2.5 Flash-Lite better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.6 versus 38.0 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 1M.

How many benchmarks do DeepSeek V4 Flash and Gemini 2.5 Flash-Lite share?

23 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Gemini 2.5 Flash-Lite has 33.

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