Noometry

Model comparison

DeepSeek-V3.1 vs Gemini 3.6 Flash

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 42.8 on the Noometry Index. DeepSeek-V3.1 costs 3.5× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

Last verified . 22 shared benchmarks.

DeepSeek-V3.1 DeepSeek

42.8

Rank #108 Confirmed

Gemini 3.6 Flash Google

54.1

Rank #33 Confirmed

Summary

  • They share 22 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 0 categories and Gemini 3.6 Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.6 Flash leads 58.8 to 27.9.
  • The biggest single-benchmark swing is LMCA: 24.3% for DeepSeek-V3.1 and 44.9% for Gemini 3.6 Flash.
  • DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.6 Flash.
  • Gemini 3.6 Flash 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 3.6 Flash
ProviderDeepSeekGoogle
Noometry Index42.854.1
Released2025-08-212026-07-21
WeightsOpenProprietary
Context window164K1.05M
Max output8K66K
Input $ / M tokens$0.25$0.75
Output $ / M tokens$0.95$3.75
Results tracked2746

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Category by category

Coding Gemini 3.6 Flash leads

DeepSeek-V3.1: 40.3 (#144), Gemini 3.6 Flash: 50.0 (#48)

BenchmarkDeepSeek-V3.1Gemini 3.6 Flash
WeirdML38.4%56.1%
LMArena Coding14171491
DeepSWE—46.7%
FrontierCode—34.4%
LMArena WebDev—1538
SciCode—52.7%
ALE-Bench—715.52

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, Gemini 3.6 Flash: 32.3 (#65)

BenchmarkDeepSeek-V3.1Gemini 3.6 Flash
APEX-Agents—46.9%
GDP.pdf—14%

Reasoning Gemini 3.6 Flash leads

DeepSeek-V3.1: 27.9 (#110), Gemini 3.6 Flash: 58.8 (#22)

BenchmarkDeepSeek-V3.1Gemini 3.6 Flash
LMArena Hard Prompts14171485
DTBench82.7%95.5%
LMCA24.3%44.9%
Epoch Capabilities Index139.92154.25
ARC-AGI-2—60.4%
SimpleBench40%—
Kagi LLM Benchmark53.2%—
NYT Connections (extended)—89%
ARC-AGI-1—91.2%
CritPt—10.6%
Chess Puzzles—43%
Mystery Game Puzzles—30%
ForecastBench58—

Math Gemini 3.6 Flash leads

DeepSeek-V3.1: 38.9 (#122), Gemini 3.6 Flash: 57.3 (#40)

BenchmarkDeepSeek-V3.1Gemini 3.6 Flash
LMArena Math14201505
FrontierMath (Tiers 1-3)—58.9%
FrontierMath Tier 4—22%
MathArena Final-Answer Competitions—70.8%
OTIS Mock AIME 2024-2025—94.2%
ProofBench—36%

Knowledge Gemini 3.6 Flash leads

DeepSeek-V3.1: 43.7 (#90), Gemini 3.6 Flash: 67.8 (#8)

BenchmarkDeepSeek-V3.1Gemini 3.6 Flash
LMArena Expert14051488
GPQA Diamond—94.1%
SimpleQA Verified—66.2%
Vectara Hallucination Rate5.5%—

Multimodal Not comparable

DeepSeek-V3.1: —, Gemini 3.6 Flash: 38.5 (#64)

BenchmarkDeepSeek-V3.1Gemini 3.6 Flash
LMArena Vision—1298
Blueprint-Bench 2—31.2%
Furniture Assembly—23.3%
LMArena Document—1456

Multilingual Gemini 3.6 Flash leads

DeepSeek-V3.1: 51.6 (#106), Gemini 3.6 Flash: 56.5 (#19)

BenchmarkDeepSeek-V3.1Gemini 3.6 Flash
LMArena Non-English14001469
LMArena Chinese14691531
LMArena French14471504
LMArena German14111478
LMArena Japanese13781476
LMArena Korean13371431
LMArena Russian14051487
LMArena Spanish14311475

Instruction Following Gemini 3.6 Flash leads

DeepSeek-V3.1: 73.9 (#110), Gemini 3.6 Flash: 77.0 (#33)

BenchmarkDeepSeek-V3.1Gemini 3.6 Flash
LMArena Instruction Following14001466

Long Context Gemini 3.6 Flash leads

DeepSeek-V3.1: 36.3 (#232), Gemini 3.6 Flash: 45.1 (#50)

BenchmarkDeepSeek-V3.1Gemini 3.6 Flash
LMArena Longer Query14221474
Fiction.LiveBench52.8%—

Writing & Preference Gemini 3.6 Flash leads

DeepSeek-V3.1: 60.3 (#98), Gemini 3.6 Flash: 68.2 (#27)

BenchmarkDeepSeek-V3.1Gemini 3.6 Flash
LMArena Text14201479
LMArena Creative Writing14011465
EQ-Bench Creative Writing14361604
LMArena Multi-Turn14081481

Frequently asked questions

Is DeepSeek-V3.1 better than Gemini 3.6 Flash?

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 42.8 on the Noometry Index. DeepSeek-V3.1 costs 3.5× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

Which is cheaper, DeepSeek-V3.1 or Gemini 3.6 Flash?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Gemini 3.6 Flash lists at $0.75 and $3.75.

Is DeepSeek-V3.1 or Gemini 3.6 Flash better for coding?

Gemini 3.6 Flash scores higher on coding benchmarks: 50.0 versus 40.3 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.6 Flash does, with 1.05M tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and Gemini 3.6 Flash share?

22 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemini 3.6 Flash has 46.

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