DeepSeek-R1 vs DeepSeek-R1 0528-Qwen3-8B
Wins 4 of 5 areas
Coding · Reasoning · Long documents · Following instructions
Wins 0 of 5 areas
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DeepSeek-R1 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.
- ReasoningHard problems that need careful thinking20DeepSeek-R12 of 3 tests · 1 tie
- CodingWriting and fixing software20DeepSeek-R12 of 2 tests
- Long documentsFinding answers in very long texts10DeepSeek-R11 of 1 test
- Following instructionsDoing exactly what it is asked10DeepSeek-R11 of 1 test
- FactsGetting facts right instead of making them up11Even1 each
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-R1 pulls ahead
- Reasons across sets of long documentsAA-LCR+42.7points ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+19.1points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+18.3points ahead
Where DeepSeek-R1 0528-Qwen3-8B pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+3.9points 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-R1
- SciCodeDeepSeek-R1 by 17.938.320.4+17.9
- Terminal-Bench HardDeepSeek-R1 by 4.66.11.5+4.6
ReasoningDeepSeek-R1
- GPQA DiamondDeepSeek-R1 by 9.670.861.2+9.6
- Humanity's Last ExamDeepSeek-R1 by 2.68.55.9+2.6
- CritPttie0.60tie
FactsEven
- AA-Omniscience · AccuracyDeepSeek-R1 by 18.330.512.2+18.3
- AA-Omniscience · Non-hallucinationDeepSeek-R1 0528-Qwen3-8B by 3.99.713.6+3.9
Following instructionsDeepSeek-R1
- IFBenchDeepSeek-R1 by 19.13919.9+19.1
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.
- AA-OmniscienceDeepSeek-R1 by 31.4-32.2-63.6+31.4
- HMMT Feb. 2025DeepSeek-R1 0528-Qwen3-8B by 19.841.761.5+19.8
- Artificial Analysis Coding IndexDeepSeek-R1 by 16.824.67.8+16.8
- τ²-Bench Telecom (AA run)DeepSeek-R1 by 11.411.40+11.4
- AIME 2025DeepSeek-R1 0528-Qwen3-8B by 6.37076.3+6.3
- AIME 2024DeepSeek-R1 0528-Qwen3-8B by 6.279.886+6.2
- AA IntelligenceDeepSeek-R1 by 3.311.48.1+3.3
- LiveCodeBenchDeepSeek-R1 by 363.560.5+3
Questions people ask
Which is better, DeepSeek-R1 or DeepSeek-R1 0528-Qwen3-8B?
DeepSeek-R1 wins four of the five areas where both have results: coding, reasoning, long documents and following instructions. DeepSeek-R1 0528-Qwen3-8B wins none. They are level on facts.
Which is better for coding?
DeepSeek-R1. 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.