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VECTOR WIREAI INTELLIGENCE
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DeepSeek-V2 vs Gemma (7B)

DeepSeek · released

Wins 1 of 1 area

Reasoning

Google · released

Wins 0 of 1 area

—

DeepSeek-V2 is the stronger all-rounder.

Scores updated · 18 tests both models report · How we compare

Where each one wins

Tests won in each of the one area where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.

Reasoning rests on a single test.

The biggest differences

The tests each model wins by the widest margin, up to three each. Scores are out of 100.

Where DeepSeek-V2 pulls ahead

  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+9.6points aheadDeepSeek-V235.3Gemma (7B)25.7

Where Gemma (7B) pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 18 tests both models report. The winning score is in its model's colour; marks a score checked independently.

ReasoningDeepSeek-V2

Full reasoning ranking

Other results17 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

Questions people ask

Which is better, DeepSeek-V2 or Gemma (7B)?

DeepSeek-V2 wins the one area where both have results: reasoning. Gemma (7B) wins none.

How do you compare the two?

We use the 18 benchmark tests both models have published scores on. The verdict counts the 1 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 17 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.