Noometry

Model comparison

DeepSeek-V3.1 vs Gemini 3.1 Flash Lite

DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 40.4 on the Noometry Index.

Last verified . 24 shared benchmarks.

DeepSeek-V3.1 DeepSeek

42.2

Rank #106 Confirmed

Gemini 3.1 Flash Lite Google

40.4

Rank #141 Confirmed

Summary

  • They share 24 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 4 categories and Gemini 3.1 Flash Lite in 4 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Gemini 3.1 Flash Lite leads 42.5 to 36.3.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 53.2% for DeepSeek-V3.1 and 67.2% for Gemini 3.1 Flash Lite.
  • DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.25 / $1.50 for Gemini 3.1 Flash Lite.
  • Gemini 3.1 Flash Lite accepts more context: 1.05M tokens versus 164K.
  • DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1Gemini 3.1 Flash Lite
ProviderDeepSeekGoogle
Noometry Index42.240.4
Released2025-08-212026-03-03
WeightsOpenProprietary
Context window164K1.05M
Max output8K66K
Input $ / M tokens$0.25$0.25
Output $ / M tokens$0.95$1.50
Results tracked2738

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Category by category

Coding DeepSeek-V3.1 leads

DeepSeek-V3.1: 39.8 (#140), Gemini 3.1 Flash Lite: 37.5 (#179)

BenchmarkDeepSeek-V3.1Gemini 3.1 Flash Lite
WeirdML38.4%52.2%
LMArena Coding14171400
LMArena WebDev—1256
SciCode—41.9%
ALE-Bench—797.73

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, Gemini 3.1 Flash Lite: 29.9 (#72)

BenchmarkDeepSeek-V3.1Gemini 3.1 Flash Lite
DeepResearch Bench—37.3%

Reasoning DeepSeek-V3.1 leads

DeepSeek-V3.1: 27.3 (#109), Gemini 3.1 Flash Lite: 22.3 (#181)

BenchmarkDeepSeek-V3.1Gemini 3.1 Flash Lite
Kagi LLM Benchmark53.2%67.2%
LMArena Hard Prompts14171407
DTBench82.7%76.8%
LMCA24.3%35%
Epoch Capabilities Index139.92144.45
ForecastBench5854.4
SimpleBench40%—
NYT Connections (extended)—8.2%
CritPt—1.1%
Chess Puzzles—25%
EnigmaEval—3%
Thematic Generalization—63.3%

Math Gemini 3.1 Flash Lite leads

DeepSeek-V3.1: 36.1 (#125), Gemini 3.1 Flash Lite: 39.5 (#82)

BenchmarkDeepSeek-V3.1Gemini 3.1 Flash Lite
LMArena Math14201427
FrontierMath (Tiers 1-3)—27.7%
OTIS Mock AIME 2024-2025—80%

Knowledge DeepSeek-V3.1 leads

DeepSeek-V3.1: 43.0 (#86), Gemini 3.1 Flash Lite: 41.7 (#95)

BenchmarkDeepSeek-V3.1Gemini 3.1 Flash Lite
Vectara Hallucination Rate5.5%8.2%
LMArena Expert14031397
GPQA Diamond—81.8%
Humanity's Last Exam—8.6%

Multimodal Not comparable

DeepSeek-V3.1: —, Gemini 3.1 Flash Lite: 38.7 (#57)

BenchmarkDeepSeek-V3.1Gemini 3.1 Flash Lite
LMArena Vision—1240

Multilingual Too close to call

DeepSeek-V3.1: 51.8 (#100), Gemini 3.1 Flash Lite: 52.5 (#82)

BenchmarkDeepSeek-V3.1Gemini 3.1 Flash Lite
LMArena Non-English14001410
LMArena Chinese14701461
LMArena French14471423
LMArena German14121429
LMArena Japanese13741411
LMArena Korean13371393
LMArena Russian14051420
LMArena Spanish14291420

Instruction Following DeepSeek-V3.1 leads

DeepSeek-V3.1: 74.1 (#105), Gemini 3.1 Flash Lite: 72.9 (#126)

BenchmarkDeepSeek-V3.1Gemini 3.1 Flash Lite
LMArena Instruction Following14001376

Long Context Gemini 3.1 Flash Lite leads

DeepSeek-V3.1: 36.3 (#227), Gemini 3.1 Flash Lite: 42.5 (#117)

BenchmarkDeepSeek-V3.1Gemini 3.1 Flash Lite
LMArena Longer Query14221394
Fiction.LiveBench52.8%—

Writing & Preference Too close to call

DeepSeek-V3.1: 60.5 (#93), Gemini 3.1 Flash Lite: 61.0 (#90)

BenchmarkDeepSeek-V3.1Gemini 3.1 Flash Lite
LMArena Text14201416
LMArena Creative Writing14011401
LMArena Multi-Turn14081417
EQ-Bench Creative Writing1436—

Frequently asked questions

Is DeepSeek-V3.1 better than Gemini 3.1 Flash Lite?

DeepSeek-V3.1 is the stronger model overall, scoring 42.2 to 40.4 on the Noometry Index.

Which is cheaper, DeepSeek-V3.1 or Gemini 3.1 Flash Lite?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Gemini 3.1 Flash Lite lists at $0.25 and $1.50.

Is DeepSeek-V3.1 or Gemini 3.1 Flash Lite better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 39.8 versus 37.5 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.1 Flash Lite does, with 1.05M tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and Gemini 3.1 Flash Lite share?

24 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemini 3.1 Flash Lite has 38.

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