Noometry

Model comparison

DeepSeek LLM 67B vs Gemini 2.0 Flash-Lite

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 24.9 on the Noometry Index.

Last verified . 10 shared benchmarks.

DeepSeek LLM 67B DeepSeek

24.9

Rank #347 Confirmed

Gemini 2.0 Flash-Lite Google

37.8

Rank #194 Confirmed

Summary

  • They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Gemini 2.0 Flash-Lite in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.0 Flash-Lite leads 35.0 to 7.0.
  • DeepSeek LLM 67B has downloadable open weights; the other is API-only.

Side by side

DeepSeek LLM 67BGemini 2.0 Flash-Lite
ProviderDeepSeekGoogle
Noometry Index24.937.8
Released2023-11-292025-02-05
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked1532

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Category by category

Coding Gemini 2.0 Flash-Lite leads

DeepSeek LLM 67B: 31.9 (#278), Gemini 2.0 Flash-Lite: 37.9 (#185)

BenchmarkDeepSeek LLM 67BGemini 2.0 Flash-Lite
LMArena Coding10961322
LiveBench Coding—47.1%

Reasoning Gemini 2.0 Flash-Lite leads

DeepSeek LLM 67B: 16.5 (#304), Gemini 2.0 Flash-Lite: 22.0 (#210)

BenchmarkDeepSeek LLM 67BGemini 2.0 Flash-Lite
LMArena Hard Prompts10701324
Chess Puzzles0%—
LiveBench Reasoning—50.1%
DTBench—52.5%
LiveBench Data Analysis—65.5%
Epoch Capabilities Index110.5—
ForecastBench—57.1
LiveBench—54.3%

Math Gemini 2.0 Flash-Lite leads

DeepSeek LLM 67B: 8.7 (#324), Gemini 2.0 Flash-Lite: 34.1 (#196)

BenchmarkDeepSeek LLM 67BGemini 2.0 Flash-Lite
LMArena Math11081309
OTIS Mock AIME 2024-20250.8%—
Omni-MATH—37.4%
LiveBench Math—58.1%
MATH Level 56.4%—

Knowledge Gemini 2.0 Flash-Lite leads

DeepSeek LLM 67B: 7.0 (#313), Gemini 2.0 Flash-Lite: 35.0 (#189)

BenchmarkDeepSeek LLM 67BGemini 2.0 Flash-Lite
GPQA Diamond24.6%—
MMLU-Pro—72%
GPQA (HELM)—50%
LMArena Expert—1305

Multimodal Not comparable

DeepSeek LLM 67B: —, Gemini 2.0 Flash-Lite: 31.2 (#109)

BenchmarkDeepSeek LLM 67BGemini 2.0 Flash-Lite
LMArena Vision—1100

Multilingual Gemini 2.0 Flash-Lite leads

DeepSeek LLM 67B: 29.4 (#267), Gemini 2.0 Flash-Lite: 46.0 (#161)

BenchmarkDeepSeek LLM 67BGemini 2.0 Flash-Lite
LMArena Non-English10731323
LMArena Chinese11321339
LMArena French—1347
LMArena German—1306
LMArena Japanese—1301
LMArena Korean—1325
LMArena Russian—1328
LMArena Spanish—1313

Instruction Following Gemini 2.0 Flash-Lite leads

DeepSeek LLM 67B: 55.4 (#277), Gemini 2.0 Flash-Lite: 70.4 (#163)

BenchmarkDeepSeek LLM 67BGemini 2.0 Flash-Lite
LMArena Instruction Following10791305
LiveBench Instruction Following—78.3%
IFEval—82.4%

Long Context Gemini 2.0 Flash-Lite leads

DeepSeek LLM 67B: 33.1 (#265), Gemini 2.0 Flash-Lite: 40.1 (#160)

BenchmarkDeepSeek LLM 67BGemini 2.0 Flash-Lite
LMArena Longer Query10921320

Writing & Preference Gemini 2.0 Flash-Lite leads

DeepSeek LLM 67B: 31.6 (#282), Gemini 2.0 Flash-Lite: 51.7 (#177)

BenchmarkDeepSeek LLM 67BGemini 2.0 Flash-Lite
LMArena Text11051330
LMArena Creative Writing10671319
LMArena Multi-Turn10821307
WildBench—79%
LiveBench Language—34.3%

Frequently asked questions

Is DeepSeek LLM 67B better than Gemini 2.0 Flash-Lite?

Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 24.9 on the Noometry Index.

Is DeepSeek LLM 67B or Gemini 2.0 Flash-Lite better for coding?

Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 31.9 in the Noometry coding category.

How many benchmarks do DeepSeek LLM 67B and Gemini 2.0 Flash-Lite share?

10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.

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