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+11.1points ahead
Where MiniMax Text 01 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.
- HumanEvalMiniMax Text 01 by 21.765.286.9+21.7
- MATHDeepSeek-V3 by 12.890.277.4+12.8
- MBPP+ (EvalPlus-augmented)DeepSeek-V3 by 7.178.871.7+7.1
- LongBench v2 overall (w/o CoT)MiniMax Text 01 by 4.248.752.9+4.2
- IFEvalMiniMax Text 01 by 386.189.1+3
- Arena HardDeepSeek-V3 by 2.391.489.1+2.3
- IFEval (avg)MiniMax Text 01 by 1.887.389.1+1.8
- DROP (F1)DeepSeek-V3 by 1.28987.8+1.2
- SimpleQADeepSeek-V3 by 1.224.923.7+1.2
- GSM8Ktie9494.8tie
- Chinese SimpleQA (C-SimpleQA)tie6867.4tie
- MMLU-Protie75.975.7tie
- MMLUtie88.588.5tie
Questions people ask
Which is better, DeepSeek-V3 or MiniMax Text 01?
DeepSeek-V3 wins the one area where both have results: reasoning. MiniMax Text 01 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.