Model comparison

DeepSeek-V2.5 (Sep 2024) vs Gemma 4 31B IT

Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 37.6 on the Noometry Index.

Last verified . 14 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.6

Rank #200 Confirmed

Gemma 4 31B IT Google

43.5

Rank #90 Confirmed

Summary

  • They share 14 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Gemma 4 31B IT in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where Gemma 4 31B IT leads 53.8 to 42.5.

Side by side

DeepSeek-V2.5 (Sep 2024) and Gemma 4 31B IT specifications
DeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
ProviderDeepSeekGoogle
Noometry Index37.643.5
Released2024-09-062026-04-02
WeightsOpenOpen
Context window—262K
Max output—33K
Input $ / M tokens—$0.09
Output $ / M tokens—$0.34
Results tracked2235

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Category by category

Coding Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Gemma 4 31B IT: 42.3 (#108)

Coding benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Coding13091459
Aider Polyglot17.8%—
LMArena WebDev—1366
SciCode—43.4%
WeirdML—52.3%
BigCodeBench Instruct48.6%—
BigCodeBench Complete53.2%—
ALE-Bench—925.5
HumanEval+83.5%—
MBPP+74.1%—

Reasoning Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Gemma 4 31B IT: 27.2 (#122)

Reasoning benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Hard Prompts12891448
Kagi LLM Benchmark—63.5%
NYT Connections (extended)—70.6%
CritPt—1.4%
Chess Puzzles—5%
Thematic Generalization—53%
DTBench—82.7%
LMCA—39.3%
Surface Evolver Bench—30.6%
Epoch Capabilities Index—142.74

Math Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Gemma 4 31B IT: 43.2 (#81)

Math benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Math12881465
OTIS Mock AIME 2024-2025—73.3%

Knowledge Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Gemma 4 31B IT: 37.9 (#151)

Knowledge benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Expert12661465
GPQA Diamond—75.8%
SimpleQA Verified—10.4%
Vectara Hallucination Rate—7.4%

Multimodal Not comparable

DeepSeek-V2.5 (Sep 2024): —, Gemma 4 31B IT: 41.6 (#34)

Multimodal benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Vision—1277
LMArena Document—1425

Multilingual Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Gemma 4 31B IT: 53.8 (#57)

Multilingual benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Non-English12731431
LMArena Chinese13181476
LMArena French12891435
LMArena Russian12891460
LMArena Spanish12481444
LMArena German1258—
LMArena Japanese1228—
LMArena Korean1209—

Instruction Following Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Gemma 4 31B IT: 75.5 (#61)

Instruction Following benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Instruction Following12801433

Long Context Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Gemma 4 31B IT: 44.2 (#71)

Long Context benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Longer Query13011446

Writing & Preference Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Gemma 4 31B IT: 60.5 (#96)

Writing & Preference benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Text12941443
LMArena Creative Writing12851415
LMArena Multi-Turn12971452
EQ-Bench Creative Writing—1368
EQ-Bench 4—1120

Frequently asked questions

Is DeepSeek-V2.5 (Sep 2024) better than Gemma 4 31B IT?

Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 37.6 on the Noometry Index.

Is DeepSeek-V2.5 (Sep 2024) or Gemma 4 31B IT better for coding?

Gemma 4 31B IT scores higher on coding benchmarks: 42.3 versus 31.7 in the Noometry coding category.

How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemma 4 31B IT share?

14 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Gemma 4 31B IT has 35.

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