Model comparison

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

Gemma 4 31B IT is the stronger model overall, scoring 43.2 to 37.0 on the Noometry Index.

Last verified . 14 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.0

Rank #197 Confirmed

Gemma 4 31B IT Google

43.2

Rank #85 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 54.0 to 42.7.

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 Index37.043.2
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): 31.3 (#274), Gemma 4 31B IT: 41.9 (#98)

Coding benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Coding13101459
Aider Polyglot17.8%—
LMArena WebDev—1364
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): 24.5 (#145), Gemma 4 31B IT: 26.4 (#119)

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): 33.3 (#177), Gemma 4 31B IT: 41.3 (#72)

Math benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Math12891464
OTIS Mock AIME 2024-2025—73.3%

Knowledge Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 34.2 (#190), Gemma 4 31B IT: 37.9 (#141)

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: 41.0 (#32)

Multimodal benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Vision—1278
LMArena Document—1425

Multilingual Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 42.7 (#188), Gemma 4 31B IT: 54.0 (#52)

Multilingual benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Non-English12731431
LMArena Chinese13171478
LMArena French12881436
LMArena Russian12891462
LMArena Spanish12481443
LMArena German1258—
LMArena Japanese1228—
LMArena Korean1209—

Instruction Following Gemma 4 31B IT leads

DeepSeek-V2.5 (Sep 2024): 67.7 (#189), Gemma 4 31B IT: 75.6 (#58)

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 (#169), Gemma 4 31B IT: 44.2 (#67)

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): 50.0 (#182), Gemma 4 31B IT: 60.7 (#92)

Writing & Preference benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Gemma 4 31B IT
LMArena Text12941443
LMArena Creative Writing12851416
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 43.2 to 37.0 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: 41.9 versus 31.3 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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