DeepSeek-V3 is the stronger all-rounder.
Scores updated · 21 tests both models report · How we compare
Where each one wins
Tests won in each of the two areas 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.
Coding 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
- Code for real scientific research problemsSciCode+5points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+1.9points ahead
Where Gemini 2.0 Flash Exp pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 21 tests both models report. The winning score is in its model's colour; marks a score checked independently.
ReasoningDeepSeek-V3
- GPQA DiamondDeepSeek-V3 by 1.965.563.6+1.9
- Humanity's Last Examtie4.74.1tie
- SimpleBenchtie18.918.9tie
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.
- Aider-PolyglotDeepSeek-V3 by 27.449.622.2+27.4
- HumanEvalGemini 2.0 Flash Exp by 24.465.289.6+24.4
- Arena HardDeepSeek-V3 by 18.791.472.7+18.7
- MMLUDeepSeek-V3 by 16.888.571.7+16.8
- Chinese SimpleQA (C-SimpleQA)DeepSeek-V3 by 4.76863.3+4.7
- MBPP+ (EvalPlus-augmented)DeepSeek-V3 by 2.978.875.9+2.9
- naturalquestions_closedbookDeepSeek-V3 by 2.446.744.3+2.4
- IFEvalGemini 2.0 Flash Exp by 2.386.188.4+2.3
- SimpleQAGemini 2.0 Flash Exp by 1.724.926.6+1.7
- AA IntelligenceDeepSeek-V3 by 1.59.78.2+1.5
- NarrativeQADeepSeek-V3 by 1.379.678.3+1.3
- IFEval (avg)Gemini 2.0 Flash Exp by 1.187.388.4+1.1
- OpenBookQAtie95.494.6tie
- GSM8Ktie9494.6tie
- MMLU-Protie75.976.4tie
- DROP (F1)tie8989.3tie
- MATHtie90.290.1tie
Questions people ask
Which is better, DeepSeek-V3 or Gemini 2.0 Flash Exp?
DeepSeek-V3 wins all two areas where both have results: coding and reasoning. Gemini 2.0 Flash Exp wins none.
Which is better for coding?
DeepSeek-V3. It wins the one coding test both models report.
How do you compare the two?
We use the 21 benchmark tests both models have published scores on. The verdict counts the 4 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.