DeepSeek-R1 0528-Qwen3-8B vs DeepSeek-V3
Wins 0 of 5 areas
—
Wins 4 of 5 areas
Coding · Facts · Long documents · Following instructions
DeepSeek-V3 is the stronger all-rounder.
Scores updated · 17 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 software02DeepSeek-V32 of 2 tests
- FactsGetting facts right instead of making them up01DeepSeek-V31 of 2 tests · 1 tie
- Long documentsFinding answers in very long texts01DeepSeek-V31 of 1 test
- Following instructionsDoing exactly what it is asked01DeepSeek-V31 of 1 test
- ReasoningHard problems that need careful thinking11Even1 each · 1 tie
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 pulls ahead
Where DeepSeek-R1 0528-Qwen3-8B pulls ahead
- Very hard expert questions across many subjectsHumanity's Last Exam+1.2points ahead
Every test, side by side
All 17 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingDeepSeek-V3
- SciCodeDeepSeek-V3 by 18.620.439+18.6
- Terminal-Bench HardDeepSeek-V3 by 13.71.515.2+13.7
ReasoningEven
- GPQA DiamondDeepSeek-V3 by 4.361.265.5+4.3
- Humanity's Last ExamDeepSeek-R1 0528-Qwen3-8B by 1.25.94.7+1.2
- CritPttie00tie
FactsDeepSeek-V3
- AA-Omniscience · AccuracyDeepSeek-V3 by 13.312.225.4+13.3
- AA-Omniscience · Non-hallucinationtie13.614.1tie
Following instructionsDeepSeek-V3
- IFBenchDeepSeek-V3 by 21.119.941+21.1
Other results8 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 by 47.1047.1+47.1
- AIME 2024DeepSeek-R1 0528-Qwen3-8B by 46.88639.2+46.8
- HMMT Feb. 2025DeepSeek-R1 0528-Qwen3-8B by 32.361.529.2+32.3
- AIME 2025DeepSeek-R1 0528-Qwen3-8B by 2576.351.3+25
- AA-OmniscienceDeepSeek-V3 by 22.9-63.6-40.7+22.9
- Artificial Analysis Coding IndexDeepSeek-V3 by 15.27.823+15.2
- LiveCodeBenchDeepSeek-R1 0528-Qwen3-8B by 11.360.549.2+11.3
- AA IntelligenceDeepSeek-V3 by 1.68.19.7+1.6
Questions people ask
Which is better, DeepSeek-R1 0528-Qwen3-8B or DeepSeek-V3?
DeepSeek-V3 wins four of the five areas where both have results: coding, facts, long documents and following instructions. DeepSeek-R1 0528-Qwen3-8B wins none. They are level on reasoning.
Which is better for coding?
DeepSeek-V3. It wins 2 of the 2 coding tests both models report; DeepSeek-R1 0528-Qwen3-8B wins none.
How do you compare the two?
We use the 17 benchmark tests both models have published scores on. The verdict counts the 9 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 8 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.