DeepSeek-V3.2 vs Qwen3 4B
Wins 4 of 5 areas
Coding · Reasoning · Long documents · Following instructions
Wins 0 of 5 areas
—
DeepSeek-V3.2 is the stronger all-rounder.
Scores updated · 13 tests both models report · How we compare
Where each one wins
Tests won in each of the five 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.
- CodingWriting and fixing software20DeepSeek-V3.22 of 2 tests
- ReasoningHard problems that need careful thinking20DeepSeek-V3.22 of 2 tests
- Long documentsFinding answers in very long texts10DeepSeek-V3.21 of 1 test
- Following instructionsDoing exactly what it is asked10DeepSeek-V3.21 of 1 test
- FactsGetting facts right instead of making them up00Even0 each · 1 tie
Facts, long documents and following instructions rest on a single test each.
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-V3.2 pulls ahead
- Recent programming contest problemsLiveCodeBench v6+47.2points ahead
- Code for real scientific research problemsSciCode+35.4points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+31.8points ahead
Where Qwen3 4B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 13 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingDeepSeek-V3.2
- LiveCodeBench v6DeepSeek-V3.2 by 47.283.336.1+47.2
- SciCodeDeepSeek-V3.2 by 35.438.93.5+35.4
ReasoningDeepSeek-V3.2
- GPQA DiamondDeepSeek-V3.2 by 31.88452.2+31.8
- Humanity's Last ExamDeepSeek-V3.2 by 20.224.64.4+20.2
Following instructionsDeepSeek-V3.2
- IFBenchDeepSeek-V3.2 by 28.260.732.5+28.2
Other results6 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.
- τ²-Bench Telecom (AA run)DeepSeek-V3.2 by 71.690.619+71.6
- MMLU-ProDeepSeek-V3.2 by 158570+15
- AA IntelligenceDeepSeek-V3.2 by 14.321.57.2+14.3
- vectara_answer_rateQwen3 4B by 7.392.699.9+7.3
- vectara_avg_summary_lengthQwen3 4B by 42.7 rating points62104.7+42.7 rating
- vectara_factual_consistencytie93.794.3tie
Questions people ask
Which is better, DeepSeek-V3.2 or Qwen3 4B?
DeepSeek-V3.2 wins four of the five areas where both have results: coding, reasoning, long documents and following instructions. Qwen3 4B wins none. They are level on facts.
Which is better for coding?
DeepSeek-V3.2. It wins 2 of the 2 coding tests both models report; Qwen3 4B wins none.
How do you compare the two?
We use the 13 benchmark tests both models have published scores on. The verdict counts the 7 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 6 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.