Compare · ModelsLive · 2 picked · head to head
DeepSeek V3 vs Llama 3.1 405B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3 wins on 8/12 benchmarks
DeepSeek V3 wins 8 of 12 shared benchmarks. Leads in knowledge · reasoning · math.
Category leads
knowledge·DeepSeek V3reasoning·DeepSeek V3math·DeepSeek V3coding·DeepSeek V3
Hype vs Reality
Attention vs performance
DeepSeek V3
#43 by perf·no signal
Llama 3.1 405B
#151 by perf·no signal
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
Meta AI
$1.50T·Tier 1
Head to head
12 benchmarks · 2 models
DeepSeek V3Llama 3.1 405B
ARC AI2
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
DeepSeek V3
93.7
Llama 3.1 405B
93.7
BBH
DeepSeek V3 leads by +6.1
BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans.
DeepSeek V3
83.3
Llama 3.1 405B
77.2
GPQA diamond
DeepSeek V3 leads by +7.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
DeepSeek V3
42.0
Llama 3.1 405B
34.5
HellaSwag
Llama 3.1 405B leads by +0.4
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
DeepSeek V3
85.2
Llama 3.1 405B
85.6
MATH level 5
DeepSeek V3 leads by +15.1
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
DeepSeek V3
64.8
Llama 3.1 405B
49.8
MMLU
DeepSeek V3 leads by +3.6
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
DeepSeek V3
82.9
Llama 3.1 405B
79.3
OTIS Mock AIME 2024-2025
DeepSeek V3 leads by +6.1
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
DeepSeek V3
15.8
Llama 3.1 405B
9.6
PIQA
Llama 3.1 405B leads by +2.4
PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks.
DeepSeek V3
69.4
Llama 3.1 405B
71.8
SimpleBench
Llama 3.1 405B leads by +4.9
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
DeepSeek V3
2.7
Llama 3.1 405B
7.6
TriviaQA
DeepSeek V3 leads by +0.2
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
DeepSeek V3
82.9
Llama 3.1 405B
82.7
WeirdML
DeepSeek V3 leads by +14.7
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
DeepSeek V3
36.1
Llama 3.1 405B
21.4
Winogrande
Llama 3.1 405B leads by +8.0
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
DeepSeek V3
70.4
Llama 3.1 405B
78.4
Full benchmark table
| Benchmark | DeepSeek V3 | Llama 3.1 405B |
|---|---|---|
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 93.7 | 93.7 |
BBH BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans. | 83.3 | 77.2 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 42.0 | 34.5 |
HellaSwag HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios. | 85.2 | 85.6 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 64.8 | 49.8 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 82.9 | 79.3 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 15.8 | 9.6 |
PIQA PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks. | 69.4 | 71.8 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 2.7 | 7.6 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 82.9 | 82.7 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 36.1 | 21.4 |
Winogrande WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs. | 70.4 | 78.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.32 | $0.89 | 164K tokens (~82 books) | $4.63 | |
| — | — | — | — |