DeepSeek-V3 is the stronger all-rounder.
Scores updated · 14 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.
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+35.1points ahead
Where Phi 3.5 Mini Instruct pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 14 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Other results13 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.
- Arena HardDeepSeek-V3 by 54.491.437+54.4
- MGSMDeepSeek-V3 by 31.979.847.9+31.9
- MMLU-ProDeepSeek-V3 by 28.575.947.4+28.5
- MMMLUDeepSeek-V3 by 2479.455.4+24
- HellaSwagDeepSeek-V3 by 19.588.969.4+19.5
- BBHDeepSeek-V3 by 18.587.569+18.5
- WinoGrandeDeepSeek-V3 by 16.484.968.5+16.4
- OpenBookQADeepSeek-V3 by 16.295.479.2+16.2
- ARC-ChallengeDeepSeek-V3 by 10.795.384.6+10.7
- GSM8KDeepSeek-V3 by 7.89486.2+7.8
- MBPPDeepSeek-V3 by 5.875.469.6+5.8
- PIQADeepSeek-V3 by 3.784.781+3.7
- HumanEvalDeepSeek-V3 by 2.465.262.8+2.4
Questions people ask
Which is better, DeepSeek-V3 or Phi 3.5 Mini Instruct?
DeepSeek-V3 wins the one area where both have results: reasoning. Phi 3.5 Mini Instruct wins none.
How do you compare the two?
We use the 14 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 13 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.