Model comparison

DeepSeek-V2.5 (Sep 2024) vs Gemma 2 27B

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 29.2 on the Noometry Index.

Last verified . 19 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.0

Rank #197 Confirmed

Gemma 2 27B Google

29.2

Rank #302 Confirmed

Summary

  • They share 19 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 7 categories and Gemma 2 27B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek-V2.5 (Sep 2024) leads 33.3 to 10.0.
  • The biggest single-benchmark swing is BigCodeBench Instruct: 48.6% for DeepSeek-V2.5 (Sep 2024) and 42.8% for Gemma 2 27B.

Side by side

DeepSeek-V2.5 (Sep 2024) and Gemma 2 27B specifications
DeepSeek-V2.5 (Sep 2024)Gemma 2 27B
ProviderDeepSeekGoogle
Noometry Index37.029.2
Released2024-09-062024-06-24
WeightsOpenOpen
Context window—8K
Max output—2K
Input $ / M tokens—$0.65
Output $ / M tokens—$0.65
Results tracked2234

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Category by category

Coding Gemma 2 27B leads

DeepSeek-V2.5 (Sep 2024): 31.3 (#274), Gemma 2 27B: 33.5 (#243)

Coding benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 2 27B
BigCodeBench Instruct48.6%42.8%
LMArena Coding13101211
BigCodeBench Complete53.2%52.5%
Aider Polyglot17.8%—
LiveBench Coding—36%
HumanEval+83.5%—
MBPP+74.1%—

Reasoning DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 24.5 (#145), Gemma 2 27B: 14.8 (#313)

Reasoning benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 2 27B
LMArena Hard Prompts12891199
LiveBench Reasoning—28.1%
DTBench—48%
LiveBench Data Analysis—47.9%
LMCA—7.1%
Epoch Capabilities Index—122.06
LiveBench—38.2%

Math DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 33.3 (#177), Gemma 2 27B: 10.0 (#306)

Math benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 2 27B
LMArena Math12891212
OTIS Mock AIME 2024-2025—1.4%
LiveBench Math—26.5%
MATH Level 5—27.9%

Knowledge DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 34.2 (#190), Gemma 2 27B: 18.9 (#275)

Knowledge benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 2 27B
LMArena Expert12661172
GPQA Diamond—36.5%
Confabulations—27.1%
MMLU—75.7%

Multilingual DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 42.7 (#188), Gemma 2 27B: 38.8 (#221)

Multilingual benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 2 27B
LMArena Non-English12731217
LMArena Chinese13171221
LMArena French12881246
LMArena German12581209
LMArena Japanese12281175
LMArena Korean12091174
LMArena Russian12891234
LMArena Spanish12481228

Instruction Following DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 67.7 (#189), Gemma 2 27B: 60.7 (#244)

Instruction Following benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 2 27B
LMArena Instruction Following12801206
LiveBench Instruction Following—58.1%

Long Context DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 39.5 (#169), Gemma 2 27B: 37.3 (#213)

Long Context benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 2 27B
LMArena Longer Query13011231

Writing & Preference DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 50.0 (#182), Gemma 2 27B: 44.4 (#220)

Writing & Preference benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 2 27B
LMArena Text12941231
LMArena Creative Writing12851241
LMArena Multi-Turn12971224
LiveBench Language—32.6%

Frequently asked questions

Is DeepSeek-V2.5 (Sep 2024) better than Gemma 2 27B?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 29.2 on the Noometry Index.

Is DeepSeek-V2.5 (Sep 2024) or Gemma 2 27B better for coding?

Gemma 2 27B scores higher on coding benchmarks: 33.5 versus 31.3 in the Noometry coding category.

How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemma 2 27B share?

19 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Gemma 2 27B has 34.

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