Noometry

Model comparison

Deepseek Coder v2 vs Gemini 2.0 Flash-Lite

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.3 to 35.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

Deepseek Coder v2 DeepSeek

35.3

Rank #217 Confirmed

Gemini 2.0 Flash-Lite Google

37.3

Rank #189 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 3 categories and Gemini 2.0 Flash-Lite in 5 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Gemini 2.0 Flash-Lite leads 51.9 to 38.4.
  • Deepseek Coder v2 has downloadable open weights; the other is API-only.

Side by side

Deepseek Coder v2Gemini 2.0 Flash-Lite
ProviderDeepSeekGoogle
Noometry Index35.337.3
Released2024-06-172025-02-05
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2432

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Category by category

Coding Too close to call

Deepseek Coder v2: 37.5 (#178), Gemini 2.0 Flash-Lite: 37.4 (#181)

BenchmarkDeepseek Coder v2Gemini 2.0 Flash-Lite
LMArena Coding12511322
BigCodeBench Instruct48.2%—
LiveBench Coding—47.1%
BigCodeBench Complete59.7%—
HumanEval+82.3%—
MBPP+75.1%—

Reasoning Deepseek Coder v2 leads

Deepseek Coder v2: 22.6 (#175), Gemini 2.0 Flash-Lite: 21.2 (#203)

BenchmarkDeepseek Coder v2Gemini 2.0 Flash-Lite
LMArena Hard Prompts12071324
LiveBench Reasoning—50.1%
DTBench—52.5%
LiveBench Data Analysis—65.5%
ForecastBench—57.1
LiveBench—54.3%
WinoGrande83.7%—

Math Too close to call

Deepseek Coder v2: 32.3 (#188), Gemini 2.0 Flash-Lite: 31.8 (#192)

BenchmarkDeepseek Coder v2Gemini 2.0 Flash-Lite
LMArena Math12411309
Omni-MATH—37.4%
LiveBench Math—58.1%
GSM8K94.5%—

Knowledge Gemini 2.0 Flash-Lite leads

Deepseek Coder v2: 31.7 (#209), Gemini 2.0 Flash-Lite: 34.6 (#185)

BenchmarkDeepseek Coder v2Gemini 2.0 Flash-Lite
LMArena Expert11811305
MMLU-Pro—72%
GPQA (HELM)—50%
ARC (AI2) Challenge64.3%—

Multimodal Not comparable

Deepseek Coder v2: —, Gemini 2.0 Flash-Lite: 30.6 (#103)

BenchmarkDeepseek Coder v2Gemini 2.0 Flash-Lite
LMArena Vision—1100

Multilingual Gemini 2.0 Flash-Lite leads

Deepseek Coder v2: 36.4 (#235), Gemini 2.0 Flash-Lite: 46.2 (#156)

BenchmarkDeepseek Coder v2Gemini 2.0 Flash-Lite
LMArena Non-English11821323
LMArena Chinese12011339
LMArena French11841346
LMArena German11641306
LMArena Japanese11261302
LMArena Korean11041325
LMArena Russian11881328
LMArena Spanish11531313

Instruction Following Gemini 2.0 Flash-Lite leads

Deepseek Coder v2: 61.9 (#237), Gemini 2.0 Flash-Lite: 70.6 (#158)

BenchmarkDeepseek Coder v2Gemini 2.0 Flash-Lite
LMArena Instruction Following11801305
LiveBench Instruction Following—78.3%
IFEval—82.4%

Long Context Gemini 2.0 Flash-Lite leads

Deepseek Coder v2: 37.0 (#219), Gemini 2.0 Flash-Lite: 40.1 (#155)

BenchmarkDeepseek Coder v2Gemini 2.0 Flash-Lite
LMArena Longer Query12191321

Writing & Preference Gemini 2.0 Flash-Lite leads

Deepseek Coder v2: 38.4 (#249), Gemini 2.0 Flash-Lite: 51.9 (#172)

BenchmarkDeepseek Coder v2Gemini 2.0 Flash-Lite
LMArena Text11911330
LMArena Creative Writing11201319
LMArena Multi-Turn11761307
WildBench—79%
LiveBench Language—34.3%

Frequently asked questions

Is Deepseek Coder v2 better than Gemini 2.0 Flash-Lite?

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.3 to 35.3 on the Noometry Index.

Is Deepseek Coder v2 or Gemini 2.0 Flash-Lite better for coding?

They score almost the same on coding (37.5 vs 37.4); test both on your own repository before choosing.

How many benchmarks do Deepseek Coder v2 and Gemini 2.0 Flash-Lite share?

17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.

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