Skip to content
VECTOR WIREAI INTELLIGENCE
UTC

DeepSeek-V3 vs Llama 3 (70B)

DeepSeek · released

Wins 1 of 1 area

Reasoning

Meta

Wins 0 of 1 area

—

DeepSeek-V3 is the stronger all-rounder.

Scores updated · 16 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
Llama 3 (70B)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+29.2points aheadDeepSeek-V365.5Llama 3 (70B)36.3

Where Llama 3 (70B) pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 16 tests both models report. The winning score is in its model's colour; marks a score checked independently.

ReasoningDeepSeek-V3

Full reasoning ranking

Other results15 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 Llama 3 (70B)?

DeepSeek-V3 wins the one area where both have results: reasoning. Llama 3 (70B) wins none.

How do you compare the two?

We use the 16 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 15 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.