DeepSeek-V3 vs Llama 3.1 Nemotron Ultra 253B V1
Wins 3 of 6 areas
Coding · Long documents · Following instructions
Wins 1 of 6 areas
Reasoning
DeepSeek-V3 wins more areas, narrowly.Llama 3.1 Nemotron Ultra 253B V1 is better at reasoning.
Scores updated · 18 tests both models report · How we compare
Where each one wins
Tests won in each of the six 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-V32 of 2 tests
- Long documentsFinding answers in very long texts10DeepSeek-V31 of 1 test
- Following instructionsDoing exactly what it is asked10DeepSeek-V31 of 1 test
- ReasoningHard problems that need careful thinking02Llama 3.1 Nemotron Ultra 253B V12 of 3 tests · 1 tie
- AgentsCarrying out multi-step tasks on its own00Even0 each · 1 tie
- FactsGetting facts right instead of making them up11Even1 each
Agents, 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 three tests each model wins by the widest margin. Scores are out of 100.
Where DeepSeek-V3 pulls ahead
- Reasons across sets of long documentsAA-LCR+33points ahead
- Hard command-line tasks in a real terminalTerminal-Bench Hard+12.9points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+5.4points ahead
Where Llama 3.1 Nemotron Ultra 253B V1 pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+7.3points ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+4.7points ahead
- Very hard expert questions across many subjectsHumanity's Last Exam+2.7points ahead
Every test, side by side
All 18 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingDeepSeek-V3
- Terminal-Bench HardDeepSeek-V3 by 12.915.22.3+12.9
- SciCodeDeepSeek-V3 by 4.33934.7+4.3
ReasoningLlama 3.1 Nemotron Ultra 253B V1
- GPQA DiamondLlama 3.1 Nemotron Ultra 253B V1 by 7.365.572.8+7.3
- Humanity's Last ExamLlama 3.1 Nemotron Ultra 253B V1 by 2.74.77.4+2.7
- CritPttie00tie
FactsEven
- AA-Omniscience · AccuracyDeepSeek-V3 by 5.425.420.1+5.4
- AA-Omniscience · Non-hallucinationLlama 3.1 Nemotron Ultra 253B V1 by 4.714.118.8+4.7
Following instructionsDeepSeek-V3
- IFBenchDeepSeek-V3 by 2.84138.2+2.8
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 35.747.111.4+35.7
- AIME 2025Llama 3.1 Nemotron Ultra 253B V1 by 21.251.372.5+21.2
- LiveCodeBenchLlama 3.1 Nemotron Ultra 253B V1 by 17.149.266.3+17.1
- Artificial Analysis Coding IndexDeepSeek-V3 by 9.92313.1+9.9
- MATH-500 (EM)Llama 3.1 Nemotron Ultra 253B V1 by 6.890.297+6.8
- AA-OmniscienceDeepSeek-V3 by 4.2-40.7-44.9+4.2
- IFEvalLlama 3.1 Nemotron Ultra 253B V1 by 3.486.189.5+3.4
- AA IntelligenceDeepSeek-V3 by 2.29.77.5+2.2
Questions people ask
Which is better, DeepSeek-V3 or Llama 3.1 Nemotron Ultra 253B V1?
DeepSeek-V3 wins three of the six areas where both have results: coding, long documents and following instructions. Llama 3.1 Nemotron Ultra 253B V1 wins reasoning. They are level on agents and facts.
Which is better for coding?
DeepSeek-V3. It wins 2 of the 2 coding tests both models report; Llama 3.1 Nemotron Ultra 253B V1 wins none.
How do you compare the two?
We use the 18 benchmark tests both models have published scores on. The verdict counts the 10 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.