Model comparison

DeepSeek V4 Flash vs Gemini 1.0 Pro

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 27.3 on the Noometry Index.

Last verified . 20 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

Gemini 1.0 Pro Google

27.3

Rank #332 Confirmed

Summary

  • They share 20 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Gemini 1.0 Pro in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 9.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for DeepSeek V4 Flash and 1.1% for Gemini 1.0 Pro.
  • DeepSeek V4 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4 Flash and Gemini 1.0 Pro specifications
DeepSeek V4 FlashGemini 1.0 Pro
ProviderDeepSeekGoogle
Noometry Index53.627.3
Released2026-04-242023-12-13
WeightsOpenProprietary
Context window1M—
Max output393K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked4124

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), Gemini 1.0 Pro: 32.2 (#275)

Coding benchmarks
BenchmarkDeepSeek V4 FlashGemini 1.0 Pro
LMArena Coding14571108
FrontierCode18.8%—
LMArena WebDev1582—
SciCode49.9%—
WeirdML63%—
ALE-Bench1,306—
HumanEval+—55.5%
MBPP+—61.4%

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Gemini 1.0 Pro: 17.1 (#296)

Reasoning benchmarks
BenchmarkDeepSeek V4 FlashGemini 1.0 Pro
LMArena Hard Prompts14441109
DTBench90.9%45.9%
Epoch Capabilities Index154.49117.04
ARC-AGI-261.4%—
SimpleBench61.1%—
Kagi LLM Benchmark52.2%—
NYT Connections (extended)89.6%—
ARC-AGI-189%—
CritPt16.6%—
Chess Puzzles33%—
Mystery Game Puzzles34%—
LMCA41.7%—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), Gemini 1.0 Pro: 9.3 (#321)

Math benchmarks
BenchmarkDeepSeek V4 FlashGemini 1.0 Pro
OTIS Mock AIME 2024-202594.4%1.1%
LMArena Math14271132
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
ProofBench56%—
MATH Level 5—11.2%

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), Gemini 1.0 Pro: 15.6 (#291)

Knowledge benchmarks
BenchmarkDeepSeek V4 FlashGemini 1.0 Pro
GPQA Diamond91%34%
LMArena Expert14411059
SimpleQA Verified33.6%—
MMLU—70%

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.0 (#72), Gemini 1.0 Pro: 33.4 (#252)

Multilingual benchmarks
BenchmarkDeepSeek V4 FlashGemini 1.0 Pro
LMArena Non-English14201138
LMArena Chinese14681124
LMArena French14391145
LMArena German14181125
LMArena Japanese14061023
LMArena Russian14281186
LMArena Spanish14361119
LMArena Korean1384—

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), Gemini 1.0 Pro: 57.6 (#267)

Instruction Following benchmarks
BenchmarkDeepSeek V4 FlashGemini 1.0 Pro
LMArena Instruction Following14211114

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#85), Gemini 1.0 Pro: 34.3 (#249)

Long Context benchmarks
BenchmarkDeepSeek V4 FlashGemini 1.0 Pro
LMArena Longer Query14341132

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), Gemini 1.0 Pro: 36.0 (#264)

Writing & Preference benchmarks
BenchmarkDeepSeek V4 FlashGemini 1.0 Pro
LMArena Text14321149
LMArena Creative Writing14031131
LMArena Multi-Turn14491139
EQ-Bench Creative Writing1559—

Frequently asked questions

Is DeepSeek V4 Flash better than Gemini 1.0 Pro?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 27.3 on the Noometry Index.

Is DeepSeek V4 Flash or Gemini 1.0 Pro better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 32.2 in the Noometry coding category.

How many benchmarks do DeepSeek V4 Flash and Gemini 1.0 Pro share?

20 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Gemini 1.0 Pro has 24.

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