Noometry

Model comparison

DeepSeek LLM 67B vs Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 24.9 on the Noometry Index.

Last verified . 11 shared benchmarks.

DeepSeek LLM 67B DeepSeek

24.9

Rank #347 Confirmed

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

Summary

  • They share 11 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Gemini 2.5 Flash-Lite in 8 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 8.7.
  • DeepSeek LLM 67B has downloadable open weights; the other is API-only.

Side by side

DeepSeek LLM 67BGemini 2.5 Flash-Lite
ProviderDeepSeekGoogle
Noometry Index24.937.0
Released2023-11-292025-06-17
WeightsOpenProprietary
Context window—1.05M
Max output—66K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.40
Results tracked1533

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Category by category

Coding Gemini 2.5 Flash-Lite leads

DeepSeek LLM 67B: 31.9 (#278), Gemini 2.5 Flash-Lite: 38.5 (#173)

BenchmarkDeepSeek LLM 67BGemini 2.5 Flash-Lite
LMArena Coding10961373
WeirdML—35.2%
ALE-Bench—325.9

Agentic & Tool Use Not comparable

DeepSeek LLM 67B: —, Gemini 2.5 Flash-Lite: 28.0 (#96)

BenchmarkDeepSeek LLM 67BGemini 2.5 Flash-Lite
Berkeley Function Calling Leaderboard—36.9%

Reasoning Gemini 2.5 Flash-Lite leads

DeepSeek LLM 67B: 16.5 (#304), Gemini 2.5 Flash-Lite: 22.2 (#205)

BenchmarkDeepSeek LLM 67BGemini 2.5 Flash-Lite
LMArena Hard Prompts10701377
Epoch Capabilities Index110.5133.94
Kagi LLM Benchmark—40.5%
Chess Puzzles0%—
DTBench—62.8%
LMCA—18.1%

Math Gemini 2.5 Flash-Lite leads

DeepSeek LLM 67B: 8.7 (#324), Gemini 2.5 Flash-Lite: 38.0 (#144)

BenchmarkDeepSeek LLM 67BGemini 2.5 Flash-Lite
LMArena Math11081373
OTIS Mock AIME 2024-20250.8%—
Omni-MATH—48%
MATH Level 56.4%—

Knowledge Gemini 2.5 Flash-Lite leads

DeepSeek LLM 67B: 7.0 (#313), Gemini 2.5 Flash-Lite: 32.5 (#210)

BenchmarkDeepSeek LLM 67BGemini 2.5 Flash-Lite
GPQA Diamond24.6%—
MMLU-Pro—53.7%
Vectara Hallucination Rate—3.3%
GPQA (HELM)—30.9%
LMArena Expert—1373

Multimodal Not comparable

DeepSeek LLM 67B: —, Gemini 2.5 Flash-Lite: 29.1 (#114)

BenchmarkDeepSeek LLM 67BGemini 2.5 Flash-Lite
LMArena Vision—1198
VPCT—30%

Multilingual Gemini 2.5 Flash-Lite leads

DeepSeek LLM 67B: 29.4 (#267), Gemini 2.5 Flash-Lite: 49.3 (#134)

BenchmarkDeepSeek LLM 67BGemini 2.5 Flash-Lite
LMArena Non-English10731369
LMArena Chinese11321404
LMArena French—1388
LMArena German—1389
LMArena Japanese—1359
LMArena Korean—1360
LMArena Russian—1373
LMArena Spanish—1396

Instruction Following Gemini 2.5 Flash-Lite leads

DeepSeek LLM 67B: 55.4 (#277), Gemini 2.5 Flash-Lite: 70.0 (#168)

BenchmarkDeepSeek LLM 67BGemini 2.5 Flash-Lite
LMArena Instruction Following10791367
IFEval—81%

Long Context Too close to call

DeepSeek LLM 67B: 33.1 (#265), Gemini 2.5 Flash-Lite: 33.3 (#262)

BenchmarkDeepSeek LLM 67BGemini 2.5 Flash-Lite
LMArena Longer Query10921373
Fiction.LiveBench—47.2%

Writing & Preference Gemini 2.5 Flash-Lite leads

DeepSeek LLM 67B: 31.6 (#282), Gemini 2.5 Flash-Lite: 56.8 (#135)

BenchmarkDeepSeek LLM 67BGemini 2.5 Flash-Lite
LMArena Text11051379
LMArena Creative Writing10671367
LMArena Multi-Turn10821366
WildBench—81.8%

Frequently asked questions

Is DeepSeek LLM 67B better than Gemini 2.5 Flash-Lite?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 24.9 on the Noometry Index.

Is DeepSeek LLM 67B or Gemini 2.5 Flash-Lite better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 31.9 in the Noometry coding category.

How many benchmarks do DeepSeek LLM 67B and Gemini 2.5 Flash-Lite share?

11 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Gemini 2.5 Flash-Lite has 33.

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