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VECTOR WIREAI INTELLIGENCE
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DeepSeek-V3 vs Gemma (7B)

DeepSeek · released

Wins 1 of 1 area

Reasoning

Google · released

Wins 0 of 1 area

—

DeepSeek-V3 is the stronger all-rounder.

Scores updated · 17 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.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

DeepSeek-V3$0.24 to read · $0.90 to write$1.14Price from Artificial Analysis
Gemma (7B)No current price is tracked.

The biggest differences

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

Where DeepSeek-V3 pulls ahead

  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+39.8points aheadDeepSeek-V365.5Gemma (7B)25.7

Where Gemma (7B) pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 17 tests both models report. The winning score is in its model's colour; marks a score checked independently.

ReasoningDeepSeek-V3

Full reasoning ranking

Other results16 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-V3 or Gemma (7B)?

DeepSeek-V3 wins the one area where both have results: reasoning. Gemma (7B) wins none.

How do you compare the two?

We use the 17 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 16 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.